2022/10/05 - AWS Glue - 2 new 5 updated api methods
Changes This SDK release adds support to sync glue jobs with source control provider. Additionally, a new parameter called SourceControlDetails will be added to Job model.
Synchronizes a job to the source control repository. This operation takes the job artifacts from the Glue internal stores and makes a commit to the remote repository that is configured on the job.
This API supports optional parameters which take in the repository information.
See also: AWS API Documentation
Request Syntax
client.update_source_control_from_job(
JobName='string',
Provider='GITHUB'|'AWS_CODE_COMMIT',
RepositoryName='string',
RepositoryOwner='string',
BranchName='string',
Folder='string',
CommitId='string',
AuthStrategy='PERSONAL_ACCESS_TOKEN'|'AWS_SECRETS_MANAGER',
AuthToken='string'
)
string
The name of the Glue job to be synchronized to or from the remote repository.
string
The provider for the remote repository.
string
The name of the remote repository that contains the job artifacts.
string
The owner of the remote repository that contains the job artifacts.
string
An optional branch in the remote repository.
string
An optional folder in the remote repository.
string
A commit ID for a commit in the remote repository.
string
The type of authentication, which can be an authentication token stored in Amazon Web Services Secrets Manager, or a personal access token.
string
The value of the authorization token.
dict
Response Syntax
{
'JobName': 'string'
}
Response Structure
(dict) --
JobName (string) --
The name of the Glue job.
Synchronizes a job from the source control repository. This operation takes the job artifacts that are located in the remote repository and updates the Glue internal stores with these artifacts.
This API supports optional parameters which take in the repository information.
See also: AWS API Documentation
Request Syntax
client.update_job_from_source_control(
JobName='string',
Provider='GITHUB'|'AWS_CODE_COMMIT',
RepositoryName='string',
RepositoryOwner='string',
BranchName='string',
Folder='string',
CommitId='string',
AuthStrategy='PERSONAL_ACCESS_TOKEN'|'AWS_SECRETS_MANAGER',
AuthToken='string'
)
string
The name of the Glue job to be synchronized to or from the remote repository.
string
The provider for the remote repository.
string
The name of the remote repository that contains the job artifacts.
string
The owner of the remote repository that contains the job artifacts.
string
An optional branch in the remote repository.
string
An optional folder in the remote repository.
string
A commit ID for a commit in the remote repository.
string
The type of authentication, which can be an authentication token stored in Amazon Web Services Secrets Manager, or a personal access token.
string
The value of the authorization token.
dict
Response Syntax
{
'JobName': 'string'
}
Response Structure
(dict) --
JobName (string) --
The name of the Glue job.
{'Jobs': {'SourceControlDetails': {'AuthStrategy': 'PERSONAL_ACCESS_TOKEN | '
'AWS_SECRETS_MANAGER',
'AuthToken': 'string',
'Branch': 'string',
'Folder': 'string',
'LastCommitId': 'string',
'Owner': 'string',
'Provider': 'GITHUB | AWS_CODE_COMMIT',
'Repository': 'string'}}}
Returns a list of resource metadata for a given list of job names. After calling the ListJobs operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.
See also: AWS API Documentation
Request Syntax
client.batch_get_jobs(
JobNames=[
'string',
]
)
list
[REQUIRED]
A list of job names, which might be the names returned from the ListJobs operation.
(string) --
dict
Response Syntax
{
'Jobs': [
{
'Name': 'string',
'Description': 'string',
'LogUri': 'string',
'Role': 'string',
'CreatedOn': datetime(2015, 1, 1),
'LastModifiedOn': datetime(2015, 1, 1),
'ExecutionProperty': {
'MaxConcurrentRuns': 123
},
'Command': {
'Name': 'string',
'ScriptLocation': 'string',
'PythonVersion': 'string'
},
'DefaultArguments': {
'string': 'string'
},
'NonOverridableArguments': {
'string': 'string'
},
'Connections': {
'Connections': [
'string',
]
},
'MaxRetries': 123,
'AllocatedCapacity': 123,
'Timeout': 123,
'MaxCapacity': 123.0,
'WorkerType': 'Standard'|'G.1X'|'G.2X'|'G.025X',
'NumberOfWorkers': 123,
'SecurityConfiguration': 'string',
'NotificationProperty': {
'NotifyDelayAfter': 123
},
'GlueVersion': 'string',
'CodeGenConfigurationNodes': {
'string': {
'AthenaConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'ConnectionTable': 'string',
'SchemaName': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'JDBCConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'FilterPredicate': 'string',
'PartitionColumn': 'string',
'LowerBound': 123,
'UpperBound': 123,
'NumPartitions': 123,
'JobBookmarkKeys': [
'string',
],
'JobBookmarkKeysSortOrder': 'string',
'DataTypeMapping': {
'string': 'DATE'|'STRING'|'TIMESTAMP'|'INT'|'FLOAT'|'LONG'|'BIGDECIMAL'|'BYTE'|'SHORT'|'DOUBLE'
}
},
'ConnectionTable': 'string',
'Query': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'CatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'RedshiftSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'RedshiftTmpDir': 'string',
'TmpDirIAMRole': 'string'
},
'S3CatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'PartitionPredicate': 'string',
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123
}
},
'S3CsvSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'gzip'|'bzip2',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'Separator': 'comma'|'ctrla'|'pipe'|'semicolon'|'tab',
'Escaper': 'string',
'QuoteChar': 'quote'|'quillemet'|'single_quote'|'disabled',
'Multiline': True|False,
'WithHeader': True|False,
'WriteHeader': True|False,
'SkipFirst': True|False,
'OptimizePerformance': True|False,
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'S3JsonSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'gzip'|'bzip2',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'JsonPath': 'string',
'Multiline': True|False,
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'S3ParquetSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'snappy'|'lzo'|'gzip'|'uncompressed'|'none',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'RelationalCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'DynamoDBCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'JDBCConnectorTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'ConnectionName': 'string',
'ConnectionTable': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkConnectorTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'CatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'RedshiftTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string',
'RedshiftTmpDir': 'string',
'TmpDirIAMRole': 'string',
'UpsertRedshiftOptions': {
'TableLocation': 'string',
'ConnectionName': 'string',
'UpsertKeys': [
'string',
]
}
},
'S3CatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Table': 'string',
'Database': 'string',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG'
}
},
'S3GlueParquetTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Path': 'string',
'Compression': 'snappy'|'lzo'|'gzip'|'uncompressed'|'none',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG',
'Table': 'string',
'Database': 'string'
}
},
'S3DirectTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Path': 'string',
'Compression': 'string',
'Format': 'json'|'csv'|'avro'|'orc'|'parquet',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG',
'Table': 'string',
'Database': 'string'
}
},
'ApplyMapping': {
'Name': 'string',
'Inputs': [
'string',
],
'Mapping': [
{
'ToKey': 'string',
'FromPath': [
'string',
],
'FromType': 'string',
'ToType': 'string',
'Dropped': True|False,
'Children': {'... recursive ...'}
},
]
},
'SelectFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'DropFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'RenameField': {
'Name': 'string',
'Inputs': [
'string',
],
'SourcePath': [
'string',
],
'TargetPath': [
'string',
]
},
'Spigot': {
'Name': 'string',
'Inputs': [
'string',
],
'Path': 'string',
'Topk': 123,
'Prob': 123.0
},
'Join': {
'Name': 'string',
'Inputs': [
'string',
],
'JoinType': 'equijoin'|'left'|'right'|'outer'|'leftsemi'|'leftanti',
'Columns': [
{
'From': 'string',
'Keys': [
[
'string',
],
]
},
]
},
'SplitFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'SelectFromCollection': {
'Name': 'string',
'Inputs': [
'string',
],
'Index': 123
},
'FillMissingValues': {
'Name': 'string',
'Inputs': [
'string',
],
'ImputedPath': 'string',
'FilledPath': 'string'
},
'Filter': {
'Name': 'string',
'Inputs': [
'string',
],
'LogicalOperator': 'AND'|'OR',
'Filters': [
{
'Operation': 'EQ'|'LT'|'GT'|'LTE'|'GTE'|'REGEX'|'ISNULL',
'Negated': True|False,
'Values': [
{
'Type': 'COLUMNEXTRACTED'|'CONSTANT',
'Value': [
'string',
]
},
]
},
]
},
'CustomCode': {
'Name': 'string',
'Inputs': [
'string',
],
'Code': 'string',
'ClassName': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkSQL': {
'Name': 'string',
'Inputs': [
'string',
],
'SqlQuery': 'string',
'SqlAliases': [
{
'From': 'string',
'Alias': 'string'
},
],
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'DirectKinesisSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'StreamingOptions': {
'EndpointUrl': 'string',
'StreamName': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingPosition': 'latest'|'trim_horizon'|'earliest',
'MaxFetchTimeInMs': 123,
'MaxFetchRecordsPerShard': 123,
'MaxRecordPerRead': 123,
'AddIdleTimeBetweenReads': True|False,
'IdleTimeBetweenReadsInMs': 123,
'DescribeShardInterval': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxRetryIntervalMs': 123,
'AvoidEmptyBatches': True|False,
'StreamArn': 'string',
'RoleArn': 'string',
'RoleSessionName': 'string'
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'DirectKafkaSource': {
'Name': 'string',
'StreamingOptions': {
'BootstrapServers': 'string',
'SecurityProtocol': 'string',
'ConnectionName': 'string',
'TopicName': 'string',
'Assign': 'string',
'SubscribePattern': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingOffsets': 'string',
'EndingOffsets': 'string',
'PollTimeoutMs': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxOffsetsPerTrigger': 123,
'MinPartitions': 123
},
'WindowSize': 123,
'DetectSchema': True|False,
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'CatalogKinesisSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'Table': 'string',
'Database': 'string',
'StreamingOptions': {
'EndpointUrl': 'string',
'StreamName': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingPosition': 'latest'|'trim_horizon'|'earliest',
'MaxFetchTimeInMs': 123,
'MaxFetchRecordsPerShard': 123,
'MaxRecordPerRead': 123,
'AddIdleTimeBetweenReads': True|False,
'IdleTimeBetweenReadsInMs': 123,
'DescribeShardInterval': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxRetryIntervalMs': 123,
'AvoidEmptyBatches': True|False,
'StreamArn': 'string',
'RoleArn': 'string',
'RoleSessionName': 'string'
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'CatalogKafkaSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'Table': 'string',
'Database': 'string',
'StreamingOptions': {
'BootstrapServers': 'string',
'SecurityProtocol': 'string',
'ConnectionName': 'string',
'TopicName': 'string',
'Assign': 'string',
'SubscribePattern': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingOffsets': 'string',
'EndingOffsets': 'string',
'PollTimeoutMs': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxOffsetsPerTrigger': 123,
'MinPartitions': 123
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'DropNullFields': {
'Name': 'string',
'Inputs': [
'string',
],
'NullCheckBoxList': {
'IsEmpty': True|False,
'IsNullString': True|False,
'IsNegOne': True|False
},
'NullTextList': [
{
'Value': 'string',
'Datatype': {
'Id': 'string',
'Label': 'string'
}
},
]
},
'Merge': {
'Name': 'string',
'Inputs': [
'string',
],
'Source': 'string',
'PrimaryKeys': [
[
'string',
],
]
},
'Union': {
'Name': 'string',
'Inputs': [
'string',
],
'UnionType': 'ALL'|'DISTINCT'
},
'PIIDetection': {
'Name': 'string',
'Inputs': [
'string',
],
'PiiType': 'RowAudit'|'RowMasking'|'ColumnAudit'|'ColumnMasking',
'EntityTypesToDetect': [
'string',
],
'OutputColumnName': 'string',
'SampleFraction': 123.0,
'ThresholdFraction': 123.0,
'MaskValue': 'string'
},
'Aggregate': {
'Name': 'string',
'Inputs': [
'string',
],
'Groups': [
[
'string',
],
],
'Aggs': [
{
'Column': [
'string',
],
'AggFunc': 'avg'|'countDistinct'|'count'|'first'|'last'|'kurtosis'|'max'|'min'|'skewness'|'stddev_samp'|'stddev_pop'|'sum'|'sumDistinct'|'var_samp'|'var_pop'
},
]
},
'DropDuplicates': {
'Name': 'string',
'Inputs': [
'string',
],
'Columns': [
[
'string',
],
]
},
'GovernedCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Table': 'string',
'Database': 'string',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG'
}
},
'GovernedCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'PartitionPredicate': 'string',
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123
}
},
'MicrosoftSQLServerCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'MySQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'OracleSQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'PostgreSQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'MicrosoftSQLServerCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'MySQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'OracleSQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'PostgreSQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
}
}
},
'ExecutionClass': 'FLEX'|'STANDARD',
'SourceControlDetails': {
'Provider': 'GITHUB'|'AWS_CODE_COMMIT',
'Repository': 'string',
'Owner': 'string',
'Branch': 'string',
'Folder': 'string',
'LastCommitId': 'string',
'AuthStrategy': 'PERSONAL_ACCESS_TOKEN'|'AWS_SECRETS_MANAGER',
'AuthToken': 'string'
}
},
],
'JobsNotFound': [
'string',
]
}
Response Structure
(dict) --
Jobs (list) --
A list of job definitions.
(dict) --
Specifies a job definition.
Name (string) --
The name you assign to this job definition.
Description (string) --
A description of the job.
LogUri (string) --
This field is reserved for future use.
Role (string) --
The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
CreatedOn (datetime) --
The time and date that this job definition was created.
LastModifiedOn (datetime) --
The last point in time when this job definition was modified.
ExecutionProperty (dict) --
An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.
MaxConcurrentRuns (integer) --
The maximum number of concurrent runs allowed for the job. The default is 1. An error is returned when this threshold is reached. The maximum value you can specify is controlled by a service limit.
Command (dict) --
The JobCommand that runs this job.
Name (string) --
The name of the job command. For an Apache Spark ETL job, this must be glueetl . For a Python shell job, it must be pythonshell . For an Apache Spark streaming ETL job, this must be gluestreaming .
ScriptLocation (string) --
Specifies the Amazon Simple Storage Service (Amazon S3) path to a script that runs a job.
PythonVersion (string) --
The Python version being used to run a Python shell job. Allowed values are 2 or 3.
DefaultArguments (dict) --
The default arguments for this job, specified as name-value pairs.
You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.
For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
For information about the key-value pairs that Glue consumes to set up your job, see the Special Parameters Used by Glue topic in the developer guide.
(string) --
(string) --
NonOverridableArguments (dict) --
Non-overridable arguments for this job, specified as name-value pairs.
(string) --
(string) --
Connections (dict) --
The connections used for this job.
Connections (list) --
A list of connections used by the job.
(string) --
MaxRetries (integer) --
The maximum number of times to retry this job after a JobRun fails.
AllocatedCapacity (integer) --
This field is deprecated. Use MaxCapacity instead.
The number of Glue data processing units (DPUs) allocated to runs of this job. You can allocate a minimum of 2 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page .
Timeout (integer) --
The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
MaxCapacity (float) --
For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page .
Do not set Max Capacity if using WorkerType and NumberOfWorkers .
The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:
When you specify a Python shell job (JobCommand.Name ="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
When you specify an Apache Spark ETL job (JobCommand.Name ="glueetl") or Apache Spark streaming ETL job (JobCommand.Name ="gluestreaming"), you can allocate a minimum of 2 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
For Glue version 2.0 jobs, you cannot instead specify a Maximum capacity . Instead, you should specify a Worker type and the Number of workers .
WorkerType (string) --
The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X.
For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.
NumberOfWorkers (integer) --
The number of workers of a defined workerType that are allocated when a job runs.
SecurityConfiguration (string) --
The name of the SecurityConfiguration structure to be used with this job.
NotificationProperty (dict) --
Specifies configuration properties of a job notification.
NotifyDelayAfter (integer) --
After a job run starts, the number of minutes to wait before sending a job run delay notification.
GlueVersion (string) --
Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for jobs of type Spark.
For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.
Jobs that are created without specifying a Glue version default to Glue 0.9.
CodeGenConfigurationNodes (dict) --
The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
(string) --
(dict) --
CodeGenConfigurationNode enumerates all valid Node types. One and only one of its member variables can be populated.
AthenaConnectorSource (dict) --
Specifies a connector to an Amazon Athena data source.
Name (string) --
The name of the data source.
ConnectionName (string) --
The name of the connection that is associated with the connector.
ConnectorName (string) --
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) --
The type of connection, such as marketplace.athena or custom.athena, designating a connection to an Amazon Athena data store.
ConnectionTable (string) --
The name of the table in the data source.
SchemaName (string) --
The name of the Cloudwatch log group to read from. For example, /aws-glue/jobs/output .
OutputSchemas (list) --
Specifies the data schema for the custom Athena source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
JDBCConnectorSource (dict) --
Specifies a connector to a JDBC data source.
Name (string) --
The name of the data source.
ConnectionName (string) --
The name of the connection that is associated with the connector.
ConnectorName (string) --
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) --
The type of connection, such as marketplace.jdbc or custom.jdbc, designating a connection to a JDBC data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
FilterPredicate (string) --
Extra condition clause to filter data from source. For example:
BillingCity='Mountain View'
When using a query instead of a table name, you should validate that the query works with the specified filterPredicate .
PartitionColumn (string) --
The name of an integer column that is used for partitioning. This option works only when it's included with lowerBound , upperBound , and numPartitions . This option works the same way as in the Spark SQL JDBC reader.
LowerBound (integer) --
The minimum value of partitionColumn that is used to decide partition stride.
UpperBound (integer) --
The maximum value of partitionColumn that is used to decide partition stride.
NumPartitions (integer) --
The number of partitions. This value, along with lowerBound (inclusive) and upperBound (exclusive), form partition strides for generated WHERE clause expressions that are used to split the partitionColumn .
JobBookmarkKeys (list) --
The name of the job bookmark keys on which to sort.
(string) --
JobBookmarkKeysSortOrder (string) --
Specifies an ascending or descending sort order.
DataTypeMapping (dict) --
Custom data type mapping that builds a mapping from a JDBC data type to an Glue data type. For example, the option "dataTypeMapping":{"FLOAT":"STRING"} maps data fields of JDBC type FLOAT into the Java String type by calling the ResultSet.getString() method of the driver, and uses it to build the Glue record. The ResultSet object is implemented by each driver, so the behavior is specific to the driver you use. Refer to the documentation for your JDBC driver to understand how the driver performs the conversions.
(string) --
(string) --
ConnectionTable (string) --
The name of the table in the data source.
Query (string) --
The table or SQL query to get the data from. You can specify either ConnectionTable or query , but not both.
OutputSchemas (list) --
Specifies the data schema for the custom JDBC source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkConnectorSource (dict) --
Specifies a connector to an Apache Spark data source.
Name (string) --
The name of the data source.
ConnectionName (string) --
The name of the connection that is associated with the connector.
ConnectorName (string) --
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) --
The type of connection, such as marketplace.spark or custom.spark, designating a connection to an Apache Spark data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies data schema for the custom spark source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
CatalogSource (dict) --
Specifies a data store in the Glue Data Catalog.
Name (string) --
The name of the data store.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
RedshiftSource (dict) --
Specifies an Amazon Redshift data store.
Name (string) --
The name of the Amazon Redshift data store.
Database (string) --
The database to read from.
Table (string) --
The database table to read from.
RedshiftTmpDir (string) --
The Amazon S3 path where temporary data can be staged when copying out of the database.
TmpDirIAMRole (string) --
The IAM role with permissions.
S3CatalogSource (dict) --
Specifies an Amazon S3 data store in the Glue Data Catalog.
Name (string) --
The name of the data store.
Database (string) --
The database to read from.
Table (string) --
The database table to read from.
PartitionPredicate (string) --
Partitions satisfying this predicate are deleted. Files within the retention period in these partitions are not deleted. Set to "" – empty by default.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
S3CsvSource (dict) --
Specifies a command-separated value (CSV) data store stored in Amazon S3.
Name (string) --
The name of the data store.
Paths (list) --
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
Separator (string) --
Specifies the delimiter character. The default is a comma: ",", but any other character can be specified.
Escaper (string) --
Specifies a character to use for escaping. This option is used only when reading CSV files. The default value is none . If enabled, the character which immediately follows is used as-is, except for a small set of well-known escapes (\n , \r , \t , and \0 ).
QuoteChar (string) --
Specifies the character to use for quoting. The default is a double quote: '"' . Set this to -1 to turn off quoting entirely.
Multiline (boolean) --
A Boolean value that specifies whether a single record can span multiple lines. This can occur when a field contains a quoted new-line character. You must set this option to True if any record spans multiple lines. The default value is False , which allows for more aggressive file-splitting during parsing.
WithHeader (boolean) --
A Boolean value that specifies whether to treat the first line as a header. The default value is False .
WriteHeader (boolean) --
A Boolean value that specifies whether to write the header to output. The default value is True .
SkipFirst (boolean) --
A Boolean value that specifies whether to skip the first data line. The default value is False .
OptimizePerformance (boolean) --
A Boolean value that specifies whether to use the advanced SIMD CSV reader along with Apache Arrow based columnar memory formats. Only available in Glue version 3.0.
OutputSchemas (list) --
Specifies the data schema for the S3 CSV source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
S3JsonSource (dict) --
Specifies a JSON data store stored in Amazon S3.
Name (string) --
The name of the data store.
Paths (list) --
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
JsonPath (string) --
A JsonPath string defining the JSON data.
Multiline (boolean) --
A Boolean value that specifies whether a single record can span multiple lines. This can occur when a field contains a quoted new-line character. You must set this option to True if any record spans multiple lines. The default value is False , which allows for more aggressive file-splitting during parsing.
OutputSchemas (list) --
Specifies the data schema for the S3 JSON source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
S3ParquetSource (dict) --
Specifies an Apache Parquet data store stored in Amazon S3.
Name (string) --
The name of the data store.
Paths (list) --
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
OutputSchemas (list) --
Specifies the data schema for the S3 Parquet source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
RelationalCatalogSource (dict) --
Specifies a Relational database data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
DynamoDBCatalogSource (dict) --
Specifies a DynamoDB data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
JDBCConnectorTarget (dict) --
Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
ConnectionName (string) --
The name of the connection that is associated with the connector.
ConnectionTable (string) --
The name of the table in the data target.
ConnectorName (string) --
The name of a connector that will be used.
ConnectionType (string) --
The type of connection, such as marketplace.jdbc or custom.jdbc, designating a connection to a JDBC data target.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies the data schema for the JDBC target.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkConnectorTarget (dict) --
Specifies a target that uses an Apache Spark connector.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
ConnectionName (string) --
The name of a connection for an Apache Spark connector.
ConnectorName (string) --
The name of an Apache Spark connector.
ConnectionType (string) --
The type of connection, such as marketplace.spark or custom.spark, designating a connection to an Apache Spark data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies the data schema for the custom spark target.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
CatalogTarget (dict) --
Specifies a target that uses a Glue Data Catalog table.
Name (string) --
The name of your data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The database that contains the table you want to use as the target. This database must already exist in the Data Catalog.
Table (string) --
The table that defines the schema of your output data. This table must already exist in the Data Catalog.
RedshiftTarget (dict) --
Specifies a target that uses Amazon Redshift.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
RedshiftTmpDir (string) --
The Amazon S3 path where temporary data can be staged when copying out of the database.
TmpDirIAMRole (string) --
The IAM role with permissions.
UpsertRedshiftOptions (dict) --
The set of options to configure an upsert operation when writing to a Redshift target.
TableLocation (string) --
The physical location of the Redshift table.
ConnectionName (string) --
The name of the connection to use to write to Redshift.
UpsertKeys (list) --
The keys used to determine whether to perform an update or insert.
(string) --
S3CatalogTarget (dict) --
Specifies a data target that writes to Amazon S3 using the Glue Data Catalog.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Table (string) --
The name of the table in the database to write to.
Database (string) --
The name of the database to write to.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
S3GlueParquetTarget (dict) --
Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Path (string) --
A single Amazon S3 path to write to.
Compression (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
Table (string) --
Specifies the table in the database that the schema change policy applies to.
Database (string) --
Specifies the database that the schema change policy applies to.
S3DirectTarget (dict) --
Specifies a data target that writes to Amazon S3.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Path (string) --
A single Amazon S3 path to write to.
Compression (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Format (string) --
Specifies the data output format for the target.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
Table (string) --
Specifies the table in the database that the schema change policy applies to.
Database (string) --
Specifies the database that the schema change policy applies to.
ApplyMapping (dict) --
Specifies a transform that maps data property keys in the data source to data property keys in the data target. You can rename keys, modify the data types for keys, and choose which keys to drop from the dataset.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Mapping (list) --
Specifies the mapping of data property keys in the data source to data property keys in the data target.
(dict) --
Specifies the mapping of data property keys.
ToKey (string) --
After the apply mapping, what the name of the column should be. Can be the same as FromPath .
FromPath (list) --
The table or column to be modified.
(string) --
FromType (string) --
The type of the data to be modified.
ToType (string) --
The data type that the data is to be modified to.
Dropped (boolean) --
If true, then the column is removed.
Children (list) --
Only applicable to nested data structures. If you want to change the parent structure, but also one of its children, you can fill out this data strucutre. It is also Mapping , but its FromPath will be the parent's FromPath plus the FromPath from this structure.
For the children part, suppose you have the structure:
{ "FromPath": "OuterStructure", "ToKey": "OuterStructure", "ToType": "Struct", "Dropped": false, "Chidlren": [{ "FromPath": "inner", "ToKey": "inner", "ToType": "Double", "Dropped": false, }] }
You can specify a Mapping that looks like:
{ "FromPath": "OuterStructure", "ToKey": "OuterStructure", "ToType": "Struct", "Dropped": false, "Chidlren": [{ "FromPath": "inner", "ToKey": "inner", "ToType": "Double", "Dropped": false, }] }
SelectFields (dict) --
Specifies a transform that chooses the data property keys that you want to keep.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Paths (list) --
A JSON path to a variable in the data structure.
(list) --
(string) --
DropFields (dict) --
Specifies a transform that chooses the data property keys that you want to drop.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Paths (list) --
A JSON path to a variable in the data structure.
(list) --
(string) --
RenameField (dict) --
Specifies a transform that renames a single data property key.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
SourcePath (list) --
A JSON path to a variable in the data structure for the source data.
(string) --
TargetPath (list) --
A JSON path to a variable in the data structure for the target data.
(string) --
Spigot (dict) --
Specifies a transform that writes samples of the data to an Amazon S3 bucket.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Path (string) --
A path in Amazon S3 where the transform will write a subset of records from the dataset to a JSON file in an Amazon S3 bucket.
Topk (integer) --
Specifies a number of records to write starting from the beginning of the dataset.
Prob (float) --
The probability (a decimal value with a maximum value of 1) of picking any given record. A value of 1 indicates that each row read from the dataset should be included in the sample output.
Join (dict) --
Specifies a transform that joins two datasets into one dataset using a comparison phrase on the specified data property keys. You can use inner, outer, left, right, left semi, and left anti joins.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
JoinType (string) --
Specifies the type of join to be performed on the datasets.
Columns (list) --
A list of the two columns to be joined.
(dict) --
Specifies a column to be joined.
From (string) --
The column to be joined.
Keys (list) --
The key of the column to be joined.
(list) --
(string) --
SplitFields (dict) --
Specifies a transform that splits data property keys into two DynamicFrames . The output is a collection of DynamicFrames : one with selected data property keys, and one with the remaining data property keys.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Paths (list) --
A JSON path to a variable in the data structure.
(list) --
(string) --
SelectFromCollection (dict) --
Specifies a transform that chooses one DynamicFrame from a collection of DynamicFrames . The output is the selected DynamicFrame
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Index (integer) --
The index for the DynamicFrame to be selected.
FillMissingValues (dict) --
Specifies a transform that locates records in the dataset that have missing values and adds a new field with a value determined by imputation. The input data set is used to train the machine learning model that determines what the missing value should be.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
ImputedPath (string) --
A JSON path to a variable in the data structure for the dataset that is imputed.
FilledPath (string) --
A JSON path to a variable in the data structure for the dataset that is filled.
Filter (dict) --
Specifies a transform that splits a dataset into two, based on a filter condition.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
LogicalOperator (string) --
The operator used to filter rows by comparing the key value to a specified value.
Filters (list) --
Specifies a filter expression.
(dict) --
Specifies a filter expression.
Operation (string) --
The type of operation to perform in the expression.
Negated (boolean) --
Whether the expression is to be negated.
Values (list) --
A list of filter values.
(dict) --
Represents a single entry in the list of values for a FilterExpression .
Type (string) --
The type of filter value.
Value (list) --
The value to be associated.
(string) --
CustomCode (dict) --
Specifies a transform that uses custom code you provide to perform the data transformation. The output is a collection of DynamicFrames.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Code (string) --
The custom code that is used to perform the data transformation.
ClassName (string) --
The name defined for the custom code node class.
OutputSchemas (list) --
Specifies the data schema for the custom code transform.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkSQL (dict) --
Specifies a transform where you enter a SQL query using Spark SQL syntax to transform the data. The output is a single DynamicFrame .
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.
(string) --
SqlQuery (string) --
A SQL query that must use Spark SQL syntax and return a single data set.
SqlAliases (list) --
A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:
select * from SqlName
and that gets data from MyDataSource.
(dict) --
Represents a single entry in the list of values for SqlAliases .
From (string) --
A table, or a column in a table.
Alias (string) --
A temporary name given to a table, or a column in a table.
OutputSchemas (list) --
Specifies the data schema for the SparkSQL transform.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
DirectKinesisSource (dict) --
Specifies a direct Amazon Kinesis data source.
Name (string) --
The name of the data source.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
StreamingOptions (dict) --
Additional options for the Kinesis streaming data source.
EndpointUrl (string) --
The URL of the Kinesis endpoint.
StreamName (string) --
The name of the Kinesis data stream.
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingPosition (string) --
The starting position in the Kinesis data stream to read data from. The possible values are "latest" , "trim_horizon" , or "earliest" . The default value is "latest" .
MaxFetchTimeInMs (integer) --
The maximum time spent in the job executor to fetch a record from the Kinesis data stream per shard, specified in milliseconds (ms). The default value is 1000 .
MaxFetchRecordsPerShard (integer) --
The maximum number of records to fetch per shard in the Kinesis data stream. The default value is 100000 .
MaxRecordPerRead (integer) --
The maximum number of records to fetch from the Kinesis data stream in each getRecords operation. The default value is 10000 .
AddIdleTimeBetweenReads (boolean) --
Adds a time delay between two consecutive getRecords operations. The default value is "False" . This option is only configurable for Glue version 2.0 and above.
IdleTimeBetweenReadsInMs (integer) --
The minimum time delay between two consecutive getRecords operations, specified in ms. The default value is 1000 . This option is only configurable for Glue version 2.0 and above.
DescribeShardInterval (integer) --
The minimum time interval between two ListShards API calls for your script to consider resharding. The default value is 1s .
NumRetries (integer) --
The maximum number of retries for Kinesis Data Streams API requests. The default value is 3 .
RetryIntervalMs (integer) --
The cool-off time period (specified in ms) before retrying the Kinesis Data Streams API call. The default value is 1000 .
MaxRetryIntervalMs (integer) --
The maximum cool-off time period (specified in ms) between two retries of a Kinesis Data Streams API call. The default value is 10000 .
AvoidEmptyBatches (boolean) --
Avoids creating an empty microbatch job by checking for unread data in the Kinesis data stream before the batch is started. The default value is "False" .
StreamArn (string) --
The Amazon Resource Name (ARN) of the Kinesis data stream.
RoleArn (string) --
The Amazon Resource Name (ARN) of the role to assume using AWS Security Token Service (AWS STS). This role must have permissions for describe or read record operations for the Kinesis data stream. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSSessionName" .
RoleSessionName (string) --
An identifier for the session assuming the role using AWS STS. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSRoleARN" .
DataPreviewOptions (dict) --
Additional options for data preview.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
DirectKafkaSource (dict) --
Specifies an Apache Kafka data store.
Name (string) --
The name of the data store.
StreamingOptions (dict) --
Specifies the streaming options.
BootstrapServers (string) --
A list of bootstrap server URLs, for example, as b-1.vpc-test-2.o4q88o.c6.kafka.us-east-1.amazonaws.com:9094 . This option must be specified in the API call or defined in the table metadata in the Data Catalog.
SecurityProtocol (string) --
The protocol used to communicate with brokers. The possible values are "SSL" or "PLAINTEXT" .
ConnectionName (string) --
The name of the connection.
TopicName (string) --
The topic name as specified in Apache Kafka. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Assign (string) --
The specific TopicPartitions to consume. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
SubscribePattern (string) --
A Java regex string that identifies the topic list to subscribe to. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingOffsets (string) --
The starting position in the Kafka topic to read data from. The possible values are "earliest" or "latest" . The default value is "latest" .
EndingOffsets (string) --
The end point when a batch query is ended. Possible values are either "latest" or a JSON string that specifies an ending offset for each TopicPartition .
PollTimeoutMs (integer) --
The timeout in milliseconds to poll data from Kafka in Spark job executors. The default value is 512 .
NumRetries (integer) --
The number of times to retry before failing to fetch Kafka offsets. The default value is 3 .
RetryIntervalMs (integer) --
The time in milliseconds to wait before retrying to fetch Kafka offsets. The default value is 10 .
MaxOffsetsPerTrigger (integer) --
The rate limit on the maximum number of offsets that are processed per trigger interval. The specified total number of offsets is proportionally split across topicPartitions of different volumes. The default value is null, which means that the consumer reads all offsets until the known latest offset.
MinPartitions (integer) --
The desired minimum number of partitions to read from Kafka. The default value is null, which means that the number of spark partitions is equal to the number of Kafka partitions.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
DataPreviewOptions (dict) --
Specifies options related to data preview for viewing a sample of your data.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
CatalogKinesisSource (dict) --
Specifies a Kinesis data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
Table (string) --
The name of the table in the database to read from.
Database (string) --
The name of the database to read from.
StreamingOptions (dict) --
Additional options for the Kinesis streaming data source.
EndpointUrl (string) --
The URL of the Kinesis endpoint.
StreamName (string) --
The name of the Kinesis data stream.
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingPosition (string) --
The starting position in the Kinesis data stream to read data from. The possible values are "latest" , "trim_horizon" , or "earliest" . The default value is "latest" .
MaxFetchTimeInMs (integer) --
The maximum time spent in the job executor to fetch a record from the Kinesis data stream per shard, specified in milliseconds (ms). The default value is 1000 .
MaxFetchRecordsPerShard (integer) --
The maximum number of records to fetch per shard in the Kinesis data stream. The default value is 100000 .
MaxRecordPerRead (integer) --
The maximum number of records to fetch from the Kinesis data stream in each getRecords operation. The default value is 10000 .
AddIdleTimeBetweenReads (boolean) --
Adds a time delay between two consecutive getRecords operations. The default value is "False" . This option is only configurable for Glue version 2.0 and above.
IdleTimeBetweenReadsInMs (integer) --
The minimum time delay between two consecutive getRecords operations, specified in ms. The default value is 1000 . This option is only configurable for Glue version 2.0 and above.
DescribeShardInterval (integer) --
The minimum time interval between two ListShards API calls for your script to consider resharding. The default value is 1s .
NumRetries (integer) --
The maximum number of retries for Kinesis Data Streams API requests. The default value is 3 .
RetryIntervalMs (integer) --
The cool-off time period (specified in ms) before retrying the Kinesis Data Streams API call. The default value is 1000 .
MaxRetryIntervalMs (integer) --
The maximum cool-off time period (specified in ms) between two retries of a Kinesis Data Streams API call. The default value is 10000 .
AvoidEmptyBatches (boolean) --
Avoids creating an empty microbatch job by checking for unread data in the Kinesis data stream before the batch is started. The default value is "False" .
StreamArn (string) --
The Amazon Resource Name (ARN) of the Kinesis data stream.
RoleArn (string) --
The Amazon Resource Name (ARN) of the role to assume using AWS Security Token Service (AWS STS). This role must have permissions for describe or read record operations for the Kinesis data stream. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSSessionName" .
RoleSessionName (string) --
An identifier for the session assuming the role using AWS STS. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSRoleARN" .
DataPreviewOptions (dict) --
Additional options for data preview.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
CatalogKafkaSource (dict) --
Specifies an Apache Kafka data store in the Data Catalog.
Name (string) --
The name of the data store.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
Table (string) --
The name of the table in the database to read from.
Database (string) --
The name of the database to read from.
StreamingOptions (dict) --
Specifies the streaming options.
BootstrapServers (string) --
A list of bootstrap server URLs, for example, as b-1.vpc-test-2.o4q88o.c6.kafka.us-east-1.amazonaws.com:9094 . This option must be specified in the API call or defined in the table metadata in the Data Catalog.
SecurityProtocol (string) --
The protocol used to communicate with brokers. The possible values are "SSL" or "PLAINTEXT" .
ConnectionName (string) --
The name of the connection.
TopicName (string) --
The topic name as specified in Apache Kafka. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Assign (string) --
The specific TopicPartitions to consume. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
SubscribePattern (string) --
A Java regex string that identifies the topic list to subscribe to. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingOffsets (string) --
The starting position in the Kafka topic to read data from. The possible values are "earliest" or "latest" . The default value is "latest" .
EndingOffsets (string) --
The end point when a batch query is ended. Possible values are either "latest" or a JSON string that specifies an ending offset for each TopicPartition .
PollTimeoutMs (integer) --
The timeout in milliseconds to poll data from Kafka in Spark job executors. The default value is 512 .
NumRetries (integer) --
The number of times to retry before failing to fetch Kafka offsets. The default value is 3 .
RetryIntervalMs (integer) --
The time in milliseconds to wait before retrying to fetch Kafka offsets. The default value is 10 .
MaxOffsetsPerTrigger (integer) --
The rate limit on the maximum number of offsets that are processed per trigger interval. The specified total number of offsets is proportionally split across topicPartitions of different volumes. The default value is null, which means that the consumer reads all offsets until the known latest offset.
MinPartitions (integer) --
The desired minimum number of partitions to read from Kafka. The default value is null, which means that the number of spark partitions is equal to the number of Kafka partitions.
DataPreviewOptions (dict) --
Specifies options related to data preview for viewing a sample of your data.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
DropNullFields (dict) --
Specifies a transform that removes columns from the dataset if all values in the column are 'null'. By default, Glue Studio will recognize null objects, but some values such as empty strings, strings that are "null", -1 integers or other placeholders such as zeros, are not automatically recognized as nulls.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
NullCheckBoxList (dict) --
A structure that represents whether certain values are recognized as null values for removal.
IsEmpty (boolean) --
Specifies that an empty string is considered as a null value.
IsNullString (boolean) --
Specifies that a value spelling out the word 'null' is considered as a null value.
IsNegOne (boolean) --
Specifies that an integer value of -1 is considered as a null value.
NullTextList (list) --
A structure that specifies a list of NullValueField structures that represent a custom null value such as zero or other value being used as a null placeholder unique to the dataset.
The DropNullFields transform removes custom null values only if both the value of the null placeholder and the datatype match the data.
(dict) --
Represents a custom null value such as a zeros or other value being used as a null placeholder unique to the dataset.
Value (string) --
The value of the null placeholder.
Datatype (dict) --
The datatype of the value.
Id (string) --
The datatype of the value.
Label (string) --
A label assigned to the datatype.
Merge (dict) --
Specifies a transform that merges a DynamicFrame with a staging DynamicFrame based on the specified primary keys to identify records. Duplicate records (records with the same primary keys) are not de-duplicated.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Source (string) --
The source DynamicFrame that will be merged with a staging DynamicFrame .
PrimaryKeys (list) --
The list of primary key fields to match records from the source and staging dynamic frames.
(list) --
(string) --
Union (dict) --
Specifies a transform that combines the rows from two or more datasets into a single result.
Name (string) --
The name of the transform node.
Inputs (list) --
The node ID inputs to the transform.
(string) --
UnionType (string) --
Indicates the type of Union transform.
Specify ALL to join all rows from data sources to the resulting DynamicFrame. The resulting union does not remove duplicate rows.
Specify DISTINCT to remove duplicate rows in the resulting DynamicFrame.
PIIDetection (dict) --
Specifies a transform that identifies, removes or masks PII data.
Name (string) --
The name of the transform node.
Inputs (list) --
The node ID inputs to the transform.
(string) --
PiiType (string) --
Indicates the type of PIIDetection transform.
EntityTypesToDetect (list) --
Indicates the types of entities the PIIDetection transform will identify as PII data.
PII type entities include: PERSON_NAME, DATE, USA_SNN, EMAIL, USA_ITIN, USA_PASSPORT_NUMBER, PHONE_NUMBER, BANK_ACCOUNT, IP_ADDRESS, MAC_ADDRESS, USA_CPT_CODE, USA_HCPCS_CODE, USA_NATIONAL_DRUG_CODE, USA_MEDICARE_BENEFICIARY_IDENTIFIER, USA_HEALTH_INSURANCE_CLAIM_NUMBER,CREDIT_CARD,USA_NATIONAL_PROVIDER_IDENTIFIER,USA_DEA_NUMBER,USA_DRIVING_LICENSE
(string) --
OutputColumnName (string) --
Indicates the output column name that will contain any entity type detected in that row.
SampleFraction (float) --
Indicates the fraction of the data to sample when scanning for PII entities.
ThresholdFraction (float) --
Indicates the fraction of the data that must be met in order for a column to be identified as PII data.
MaskValue (string) --
Indicates the value that will replace the detected entity.
Aggregate (dict) --
Specifies a transform that groups rows by chosen fields and computes the aggregated value by specified function.
Name (string) --
The name of the transform node.
Inputs (list) --
Specifies the fields and rows to use as inputs for the aggregate transform.
(string) --
Groups (list) --
Specifies the fields to group by.
(list) --
(string) --
Aggs (list) --
Specifies the aggregate functions to be performed on specified fields.
(dict) --
Specifies the set of parameters needed to perform aggregation in the aggregate transform.
Column (list) --
Specifies the column on the data set on which the aggregation function will be applied.
(string) --
AggFunc (string) --
Specifies the aggregation function to apply.
Possible aggregation functions include: avg countDistinct, count, first, last, kurtosis, max, min, skewness, stddev_samp, stddev_pop, sum, sumDistinct, var_samp, var_pop
DropDuplicates (dict) --
Specifies a transform that removes rows of repeating data from a data set.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Columns (list) --
The name of the columns to be merged or removed if repeating.
(list) --
(string) --
GovernedCatalogTarget (dict) --
Specifies a data target that writes to a goverened catalog.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Table (string) --
The name of the table in the database to write to.
Database (string) --
The name of the database to write to.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the governed catalog.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
GovernedCatalogSource (dict) --
Specifies a data source in a goverened Data Catalog.
Name (string) --
The name of the data store.
Database (string) --
The database to read from.
Table (string) --
The database table to read from.
PartitionPredicate (string) --
Partitions satisfying this predicate are deleted. Files within the retention period in these partitions are not deleted. Set to "" – empty by default.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
MicrosoftSQLServerCatalogSource (dict) --
Specifies a Microsoft SQL server data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
MySQLCatalogSource (dict) --
Specifies a MySQL data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
OracleSQLCatalogSource (dict) --
Specifies an Oracle data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
PostgreSQLCatalogSource (dict) --
Specifies a PostgresSQL data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
MicrosoftSQLServerCatalogTarget (dict) --
Specifies a target that uses Microsoft SQL.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
MySQLCatalogTarget (dict) --
Specifies a target that uses MySQL.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
OracleSQLCatalogTarget (dict) --
Specifies a target that uses Oracle SQL.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
PostgreSQLCatalogTarget (dict) --
Specifies a target that uses Postgres SQL.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
ExecutionClass (string) --
Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.
The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.
Only jobs with Glue version 3.0 and above and command type glueetl will be allowed to set ExecutionClass to FLEX . The flexible execution class is available for Spark jobs.
SourceControlDetails (dict) --
The details for a source control configuration for a job, allowing synchronization of job artifacts to or from a remote repository.
Provider (string) --
The provider for the remote repository.
Repository (string) --
The name of the remote repository that contains the job artifacts.
Owner (string) --
The owner of the remote repository that contains the job artifacts.
Branch (string) --
An optional branch in the remote repository.
Folder (string) --
An optional folder in the remote repository.
LastCommitId (string) --
The last commit ID for a commit in the remote repository.
AuthStrategy (string) --
The type of authentication, which can be an authentication token stored in Amazon Web Services Secrets Manager, or a personal access token.
AuthToken (string) --
The value of an authorization token.
JobsNotFound (list) --
A list of names of jobs not found.
(string) --
{'SourceControlDetails': {'AuthStrategy': 'PERSONAL_ACCESS_TOKEN | '
'AWS_SECRETS_MANAGER',
'AuthToken': 'string',
'Branch': 'string',
'Folder': 'string',
'LastCommitId': 'string',
'Owner': 'string',
'Provider': 'GITHUB | AWS_CODE_COMMIT',
'Repository': 'string'}}
Creates a new job definition.
See also: AWS API Documentation
Request Syntax
client.create_job(
Name='string',
Description='string',
LogUri='string',
Role='string',
ExecutionProperty={
'MaxConcurrentRuns': 123
},
Command={
'Name': 'string',
'ScriptLocation': 'string',
'PythonVersion': 'string'
},
DefaultArguments={
'string': 'string'
},
NonOverridableArguments={
'string': 'string'
},
Connections={
'Connections': [
'string',
]
},
MaxRetries=123,
AllocatedCapacity=123,
Timeout=123,
MaxCapacity=123.0,
SecurityConfiguration='string',
Tags={
'string': 'string'
},
NotificationProperty={
'NotifyDelayAfter': 123
},
GlueVersion='string',
NumberOfWorkers=123,
WorkerType='Standard'|'G.1X'|'G.2X'|'G.025X',
CodeGenConfigurationNodes={
'string': {
'AthenaConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'ConnectionTable': 'string',
'SchemaName': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'JDBCConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'FilterPredicate': 'string',
'PartitionColumn': 'string',
'LowerBound': 123,
'UpperBound': 123,
'NumPartitions': 123,
'JobBookmarkKeys': [
'string',
],
'JobBookmarkKeysSortOrder': 'string',
'DataTypeMapping': {
'string': 'DATE'|'STRING'|'TIMESTAMP'|'INT'|'FLOAT'|'LONG'|'BIGDECIMAL'|'BYTE'|'SHORT'|'DOUBLE'
}
},
'ConnectionTable': 'string',
'Query': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'CatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'RedshiftSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'RedshiftTmpDir': 'string',
'TmpDirIAMRole': 'string'
},
'S3CatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'PartitionPredicate': 'string',
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123
}
},
'S3CsvSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'gzip'|'bzip2',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'Separator': 'comma'|'ctrla'|'pipe'|'semicolon'|'tab',
'Escaper': 'string',
'QuoteChar': 'quote'|'quillemet'|'single_quote'|'disabled',
'Multiline': True|False,
'WithHeader': True|False,
'WriteHeader': True|False,
'SkipFirst': True|False,
'OptimizePerformance': True|False,
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'S3JsonSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'gzip'|'bzip2',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'JsonPath': 'string',
'Multiline': True|False,
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'S3ParquetSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'snappy'|'lzo'|'gzip'|'uncompressed'|'none',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'RelationalCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'DynamoDBCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'JDBCConnectorTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'ConnectionName': 'string',
'ConnectionTable': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkConnectorTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'CatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'RedshiftTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string',
'RedshiftTmpDir': 'string',
'TmpDirIAMRole': 'string',
'UpsertRedshiftOptions': {
'TableLocation': 'string',
'ConnectionName': 'string',
'UpsertKeys': [
'string',
]
}
},
'S3CatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Table': 'string',
'Database': 'string',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG'
}
},
'S3GlueParquetTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Path': 'string',
'Compression': 'snappy'|'lzo'|'gzip'|'uncompressed'|'none',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG',
'Table': 'string',
'Database': 'string'
}
},
'S3DirectTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Path': 'string',
'Compression': 'string',
'Format': 'json'|'csv'|'avro'|'orc'|'parquet',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG',
'Table': 'string',
'Database': 'string'
}
},
'ApplyMapping': {
'Name': 'string',
'Inputs': [
'string',
],
'Mapping': [
{
'ToKey': 'string',
'FromPath': [
'string',
],
'FromType': 'string',
'ToType': 'string',
'Dropped': True|False,
'Children': {'... recursive ...'}
},
]
},
'SelectFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'DropFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'RenameField': {
'Name': 'string',
'Inputs': [
'string',
],
'SourcePath': [
'string',
],
'TargetPath': [
'string',
]
},
'Spigot': {
'Name': 'string',
'Inputs': [
'string',
],
'Path': 'string',
'Topk': 123,
'Prob': 123.0
},
'Join': {
'Name': 'string',
'Inputs': [
'string',
],
'JoinType': 'equijoin'|'left'|'right'|'outer'|'leftsemi'|'leftanti',
'Columns': [
{
'From': 'string',
'Keys': [
[
'string',
],
]
},
]
},
'SplitFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'SelectFromCollection': {
'Name': 'string',
'Inputs': [
'string',
],
'Index': 123
},
'FillMissingValues': {
'Name': 'string',
'Inputs': [
'string',
],
'ImputedPath': 'string',
'FilledPath': 'string'
},
'Filter': {
'Name': 'string',
'Inputs': [
'string',
],
'LogicalOperator': 'AND'|'OR',
'Filters': [
{
'Operation': 'EQ'|'LT'|'GT'|'LTE'|'GTE'|'REGEX'|'ISNULL',
'Negated': True|False,
'Values': [
{
'Type': 'COLUMNEXTRACTED'|'CONSTANT',
'Value': [
'string',
]
},
]
},
]
},
'CustomCode': {
'Name': 'string',
'Inputs': [
'string',
],
'Code': 'string',
'ClassName': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkSQL': {
'Name': 'string',
'Inputs': [
'string',
],
'SqlQuery': 'string',
'SqlAliases': [
{
'From': 'string',
'Alias': 'string'
},
],
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'DirectKinesisSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'StreamingOptions': {
'EndpointUrl': 'string',
'StreamName': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingPosition': 'latest'|'trim_horizon'|'earliest',
'MaxFetchTimeInMs': 123,
'MaxFetchRecordsPerShard': 123,
'MaxRecordPerRead': 123,
'AddIdleTimeBetweenReads': True|False,
'IdleTimeBetweenReadsInMs': 123,
'DescribeShardInterval': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxRetryIntervalMs': 123,
'AvoidEmptyBatches': True|False,
'StreamArn': 'string',
'RoleArn': 'string',
'RoleSessionName': 'string'
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'DirectKafkaSource': {
'Name': 'string',
'StreamingOptions': {
'BootstrapServers': 'string',
'SecurityProtocol': 'string',
'ConnectionName': 'string',
'TopicName': 'string',
'Assign': 'string',
'SubscribePattern': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingOffsets': 'string',
'EndingOffsets': 'string',
'PollTimeoutMs': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxOffsetsPerTrigger': 123,
'MinPartitions': 123
},
'WindowSize': 123,
'DetectSchema': True|False,
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'CatalogKinesisSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'Table': 'string',
'Database': 'string',
'StreamingOptions': {
'EndpointUrl': 'string',
'StreamName': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingPosition': 'latest'|'trim_horizon'|'earliest',
'MaxFetchTimeInMs': 123,
'MaxFetchRecordsPerShard': 123,
'MaxRecordPerRead': 123,
'AddIdleTimeBetweenReads': True|False,
'IdleTimeBetweenReadsInMs': 123,
'DescribeShardInterval': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxRetryIntervalMs': 123,
'AvoidEmptyBatches': True|False,
'StreamArn': 'string',
'RoleArn': 'string',
'RoleSessionName': 'string'
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'CatalogKafkaSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'Table': 'string',
'Database': 'string',
'StreamingOptions': {
'BootstrapServers': 'string',
'SecurityProtocol': 'string',
'ConnectionName': 'string',
'TopicName': 'string',
'Assign': 'string',
'SubscribePattern': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingOffsets': 'string',
'EndingOffsets': 'string',
'PollTimeoutMs': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxOffsetsPerTrigger': 123,
'MinPartitions': 123
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'DropNullFields': {
'Name': 'string',
'Inputs': [
'string',
],
'NullCheckBoxList': {
'IsEmpty': True|False,
'IsNullString': True|False,
'IsNegOne': True|False
},
'NullTextList': [
{
'Value': 'string',
'Datatype': {
'Id': 'string',
'Label': 'string'
}
},
]
},
'Merge': {
'Name': 'string',
'Inputs': [
'string',
],
'Source': 'string',
'PrimaryKeys': [
[
'string',
],
]
},
'Union': {
'Name': 'string',
'Inputs': [
'string',
],
'UnionType': 'ALL'|'DISTINCT'
},
'PIIDetection': {
'Name': 'string',
'Inputs': [
'string',
],
'PiiType': 'RowAudit'|'RowMasking'|'ColumnAudit'|'ColumnMasking',
'EntityTypesToDetect': [
'string',
],
'OutputColumnName': 'string',
'SampleFraction': 123.0,
'ThresholdFraction': 123.0,
'MaskValue': 'string'
},
'Aggregate': {
'Name': 'string',
'Inputs': [
'string',
],
'Groups': [
[
'string',
],
],
'Aggs': [
{
'Column': [
'string',
],
'AggFunc': 'avg'|'countDistinct'|'count'|'first'|'last'|'kurtosis'|'max'|'min'|'skewness'|'stddev_samp'|'stddev_pop'|'sum'|'sumDistinct'|'var_samp'|'var_pop'
},
]
},
'DropDuplicates': {
'Name': 'string',
'Inputs': [
'string',
],
'Columns': [
[
'string',
],
]
},
'GovernedCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Table': 'string',
'Database': 'string',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG'
}
},
'GovernedCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'PartitionPredicate': 'string',
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123
}
},
'MicrosoftSQLServerCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'MySQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'OracleSQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'PostgreSQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'MicrosoftSQLServerCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'MySQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'OracleSQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'PostgreSQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
}
}
},
ExecutionClass='FLEX'|'STANDARD',
SourceControlDetails={
'Provider': 'GITHUB'|'AWS_CODE_COMMIT',
'Repository': 'string',
'Owner': 'string',
'Branch': 'string',
'Folder': 'string',
'LastCommitId': 'string',
'AuthStrategy': 'PERSONAL_ACCESS_TOKEN'|'AWS_SECRETS_MANAGER',
'AuthToken': 'string'
}
)
string
[REQUIRED]
The name you assign to this job definition. It must be unique in your account.
string
Description of the job being defined.
string
This field is reserved for future use.
string
[REQUIRED]
The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
dict
An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.
MaxConcurrentRuns (integer) --
The maximum number of concurrent runs allowed for the job. The default is 1. An error is returned when this threshold is reached. The maximum value you can specify is controlled by a service limit.
dict
[REQUIRED]
The JobCommand that runs this job.
Name (string) --
The name of the job command. For an Apache Spark ETL job, this must be glueetl . For a Python shell job, it must be pythonshell . For an Apache Spark streaming ETL job, this must be gluestreaming .
ScriptLocation (string) --
Specifies the Amazon Simple Storage Service (Amazon S3) path to a script that runs a job.
PythonVersion (string) --
The Python version being used to run a Python shell job. Allowed values are 2 or 3.
dict
The default arguments for this job.
You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.
Job arguments may be logged. Do not pass plaintext secrets as arguments. Retrieve secrets from a Glue Connection, Secrets Manager or other secret management mechanism if you intend to keep them within the Job.
For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
For information about the key-value pairs that Glue consumes to set up your job, see the Special Parameters Used by Glue topic in the developer guide.
(string) --
(string) --
dict
Non-overridable arguments for this job, specified as name-value pairs.
(string) --
(string) --
dict
The connections used for this job.
Connections (list) --
A list of connections used by the job.
(string) --
integer
The maximum number of times to retry this job if it fails.
integer
This parameter is deprecated. Use MaxCapacity instead.
The number of Glue data processing units (DPUs) to allocate to this Job. You can allocate a minimum of 2 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page .
integer
The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
float
For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page .
Do not set Max Capacity if using WorkerType and NumberOfWorkers .
The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job or an Apache Spark ETL job:
When you specify a Python shell job (JobCommand.Name ="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
When you specify an Apache Spark ETL job (JobCommand.Name ="glueetl") or Apache Spark streaming ETL job (JobCommand.Name ="gluestreaming"), you can allocate a minimum of 2 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
For Glue version 2.0 jobs, you cannot instead specify a Maximum capacity . Instead, you should specify a Worker type and the Number of workers .
string
The name of the SecurityConfiguration structure to be used with this job.
dict
The tags to use with this job. You may use tags to limit access to the job. For more information about tags in Glue, see Amazon Web Services Tags in Glue in the developer guide.
(string) --
(string) --
dict
Specifies configuration properties of a job notification.
NotifyDelayAfter (integer) --
After a job run starts, the number of minutes to wait before sending a job run delay notification.
string
Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for jobs of type Spark.
For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.
Jobs that are created without specifying a Glue version default to Glue 0.9.
integer
The number of workers of a defined workerType that are allocated when a job runs.
string
The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X.
For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.
dict
The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
(string) --
(dict) --
CodeGenConfigurationNode enumerates all valid Node types. One and only one of its member variables can be populated.
AthenaConnectorSource (dict) --
Specifies a connector to an Amazon Athena data source.
Name (string) -- [REQUIRED]
The name of the data source.
ConnectionName (string) -- [REQUIRED]
The name of the connection that is associated with the connector.
ConnectorName (string) -- [REQUIRED]
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) -- [REQUIRED]
The type of connection, such as marketplace.athena or custom.athena, designating a connection to an Amazon Athena data store.
ConnectionTable (string) --
The name of the table in the data source.
SchemaName (string) -- [REQUIRED]
The name of the Cloudwatch log group to read from. For example, /aws-glue/jobs/output .
OutputSchemas (list) --
Specifies the data schema for the custom Athena source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
JDBCConnectorSource (dict) --
Specifies a connector to a JDBC data source.
Name (string) -- [REQUIRED]
The name of the data source.
ConnectionName (string) -- [REQUIRED]
The name of the connection that is associated with the connector.
ConnectorName (string) -- [REQUIRED]
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) -- [REQUIRED]
The type of connection, such as marketplace.jdbc or custom.jdbc, designating a connection to a JDBC data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
FilterPredicate (string) --
Extra condition clause to filter data from source. For example:
BillingCity='Mountain View'
When using a query instead of a table name, you should validate that the query works with the specified filterPredicate .
PartitionColumn (string) --
The name of an integer column that is used for partitioning. This option works only when it's included with lowerBound , upperBound , and numPartitions . This option works the same way as in the Spark SQL JDBC reader.
LowerBound (integer) --
The minimum value of partitionColumn that is used to decide partition stride.
UpperBound (integer) --
The maximum value of partitionColumn that is used to decide partition stride.
NumPartitions (integer) --
The number of partitions. This value, along with lowerBound (inclusive) and upperBound (exclusive), form partition strides for generated WHERE clause expressions that are used to split the partitionColumn .
JobBookmarkKeys (list) --
The name of the job bookmark keys on which to sort.
(string) --
JobBookmarkKeysSortOrder (string) --
Specifies an ascending or descending sort order.
DataTypeMapping (dict) --
Custom data type mapping that builds a mapping from a JDBC data type to an Glue data type. For example, the option "dataTypeMapping":{"FLOAT":"STRING"} maps data fields of JDBC type FLOAT into the Java String type by calling the ResultSet.getString() method of the driver, and uses it to build the Glue record. The ResultSet object is implemented by each driver, so the behavior is specific to the driver you use. Refer to the documentation for your JDBC driver to understand how the driver performs the conversions.
(string) --
(string) --
ConnectionTable (string) --
The name of the table in the data source.
Query (string) --
The table or SQL query to get the data from. You can specify either ConnectionTable or query , but not both.
OutputSchemas (list) --
Specifies the data schema for the custom JDBC source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkConnectorSource (dict) --
Specifies a connector to an Apache Spark data source.
Name (string) -- [REQUIRED]
The name of the data source.
ConnectionName (string) -- [REQUIRED]
The name of the connection that is associated with the connector.
ConnectorName (string) -- [REQUIRED]
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) -- [REQUIRED]
The type of connection, such as marketplace.spark or custom.spark, designating a connection to an Apache Spark data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies data schema for the custom spark source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
CatalogSource (dict) --
Specifies a data store in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data store.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
RedshiftSource (dict) --
Specifies an Amazon Redshift data store.
Name (string) -- [REQUIRED]
The name of the Amazon Redshift data store.
Database (string) -- [REQUIRED]
The database to read from.
Table (string) -- [REQUIRED]
The database table to read from.
RedshiftTmpDir (string) --
The Amazon S3 path where temporary data can be staged when copying out of the database.
TmpDirIAMRole (string) --
The IAM role with permissions.
S3CatalogSource (dict) --
Specifies an Amazon S3 data store in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data store.
Database (string) -- [REQUIRED]
The database to read from.
Table (string) -- [REQUIRED]
The database table to read from.
PartitionPredicate (string) --
Partitions satisfying this predicate are deleted. Files within the retention period in these partitions are not deleted. Set to "" – empty by default.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
S3CsvSource (dict) --
Specifies a command-separated value (CSV) data store stored in Amazon S3.
Name (string) -- [REQUIRED]
The name of the data store.
Paths (list) -- [REQUIRED]
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
Separator (string) -- [REQUIRED]
Specifies the delimiter character. The default is a comma: ",", but any other character can be specified.
Escaper (string) --
Specifies a character to use for escaping. This option is used only when reading CSV files. The default value is none . If enabled, the character which immediately follows is used as-is, except for a small set of well-known escapes (\n , \r , \t , and \0 ).
QuoteChar (string) -- [REQUIRED]
Specifies the character to use for quoting. The default is a double quote: '"' . Set this to -1 to turn off quoting entirely.
Multiline (boolean) --
A Boolean value that specifies whether a single record can span multiple lines. This can occur when a field contains a quoted new-line character. You must set this option to True if any record spans multiple lines. The default value is False , which allows for more aggressive file-splitting during parsing.
WithHeader (boolean) --
A Boolean value that specifies whether to treat the first line as a header. The default value is False .
WriteHeader (boolean) --
A Boolean value that specifies whether to write the header to output. The default value is True .
SkipFirst (boolean) --
A Boolean value that specifies whether to skip the first data line. The default value is False .
OptimizePerformance (boolean) --
A Boolean value that specifies whether to use the advanced SIMD CSV reader along with Apache Arrow based columnar memory formats. Only available in Glue version 3.0.
OutputSchemas (list) --
Specifies the data schema for the S3 CSV source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
S3JsonSource (dict) --
Specifies a JSON data store stored in Amazon S3.
Name (string) -- [REQUIRED]
The name of the data store.
Paths (list) -- [REQUIRED]
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
JsonPath (string) --
A JsonPath string defining the JSON data.
Multiline (boolean) --
A Boolean value that specifies whether a single record can span multiple lines. This can occur when a field contains a quoted new-line character. You must set this option to True if any record spans multiple lines. The default value is False , which allows for more aggressive file-splitting during parsing.
OutputSchemas (list) --
Specifies the data schema for the S3 JSON source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
S3ParquetSource (dict) --
Specifies an Apache Parquet data store stored in Amazon S3.
Name (string) -- [REQUIRED]
The name of the data store.
Paths (list) -- [REQUIRED]
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
OutputSchemas (list) --
Specifies the data schema for the S3 Parquet source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
RelationalCatalogSource (dict) --
Specifies a Relational database data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
DynamoDBCatalogSource (dict) --
Specifies a DynamoDB data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
JDBCConnectorTarget (dict) --
Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
ConnectionName (string) -- [REQUIRED]
The name of the connection that is associated with the connector.
ConnectionTable (string) -- [REQUIRED]
The name of the table in the data target.
ConnectorName (string) -- [REQUIRED]
The name of a connector that will be used.
ConnectionType (string) -- [REQUIRED]
The type of connection, such as marketplace.jdbc or custom.jdbc, designating a connection to a JDBC data target.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies the data schema for the JDBC target.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkConnectorTarget (dict) --
Specifies a target that uses an Apache Spark connector.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
ConnectionName (string) -- [REQUIRED]
The name of a connection for an Apache Spark connector.
ConnectorName (string) -- [REQUIRED]
The name of an Apache Spark connector.
ConnectionType (string) -- [REQUIRED]
The type of connection, such as marketplace.spark or custom.spark, designating a connection to an Apache Spark data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies the data schema for the custom spark target.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
CatalogTarget (dict) --
Specifies a target that uses a Glue Data Catalog table.
Name (string) -- [REQUIRED]
The name of your data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
Database (string) -- [REQUIRED]
The database that contains the table you want to use as the target. This database must already exist in the Data Catalog.
Table (string) -- [REQUIRED]
The table that defines the schema of your output data. This table must already exist in the Data Catalog.
RedshiftTarget (dict) --
Specifies a target that uses Amazon Redshift.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
Database (string) -- [REQUIRED]
The name of the database to write to.
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
RedshiftTmpDir (string) --
The Amazon S3 path where temporary data can be staged when copying out of the database.
TmpDirIAMRole (string) --
The IAM role with permissions.
UpsertRedshiftOptions (dict) --
The set of options to configure an upsert operation when writing to a Redshift target.
TableLocation (string) --
The physical location of the Redshift table.
ConnectionName (string) --
The name of the connection to use to write to Redshift.
UpsertKeys (list) --
The keys used to determine whether to perform an update or insert.
(string) --
S3CatalogTarget (dict) --
Specifies a data target that writes to Amazon S3 using the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
Database (string) -- [REQUIRED]
The name of the database to write to.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
S3GlueParquetTarget (dict) --
Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Path (string) -- [REQUIRED]
A single Amazon S3 path to write to.
Compression (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
Table (string) --
Specifies the table in the database that the schema change policy applies to.
Database (string) --
Specifies the database that the schema change policy applies to.
S3DirectTarget (dict) --
Specifies a data target that writes to Amazon S3.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Path (string) -- [REQUIRED]
A single Amazon S3 path to write to.
Compression (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Format (string) -- [REQUIRED]
Specifies the data output format for the target.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
Table (string) --
Specifies the table in the database that the schema change policy applies to.
Database (string) --
Specifies the database that the schema change policy applies to.
ApplyMapping (dict) --
Specifies a transform that maps data property keys in the data source to data property keys in the data target. You can rename keys, modify the data types for keys, and choose which keys to drop from the dataset.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Mapping (list) -- [REQUIRED]
Specifies the mapping of data property keys in the data source to data property keys in the data target.
(dict) --
Specifies the mapping of data property keys.
ToKey (string) --
After the apply mapping, what the name of the column should be. Can be the same as FromPath .
FromPath (list) --
The table or column to be modified.
(string) --
FromType (string) --
The type of the data to be modified.
ToType (string) --
The data type that the data is to be modified to.
Dropped (boolean) --
If true, then the column is removed.
Children (list) --
Only applicable to nested data structures. If you want to change the parent structure, but also one of its children, you can fill out this data strucutre. It is also Mapping , but its FromPath will be the parent's FromPath plus the FromPath from this structure.
For the children part, suppose you have the structure:
{ "FromPath": "OuterStructure", "ToKey": "OuterStructure", "ToType": "Struct", "Dropped": false, "Chidlren": [{ "FromPath": "inner", "ToKey": "inner", "ToType": "Double", "Dropped": false, }] }
You can specify a Mapping that looks like:
{ "FromPath": "OuterStructure", "ToKey": "OuterStructure", "ToType": "Struct", "Dropped": false, "Chidlren": [{ "FromPath": "inner", "ToKey": "inner", "ToType": "Double", "Dropped": false, }] }
SelectFields (dict) --
Specifies a transform that chooses the data property keys that you want to keep.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Paths (list) -- [REQUIRED]
A JSON path to a variable in the data structure.
(list) --
(string) --
DropFields (dict) --
Specifies a transform that chooses the data property keys that you want to drop.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Paths (list) -- [REQUIRED]
A JSON path to a variable in the data structure.
(list) --
(string) --
RenameField (dict) --
Specifies a transform that renames a single data property key.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
SourcePath (list) -- [REQUIRED]
A JSON path to a variable in the data structure for the source data.
(string) --
TargetPath (list) -- [REQUIRED]
A JSON path to a variable in the data structure for the target data.
(string) --
Spigot (dict) --
Specifies a transform that writes samples of the data to an Amazon S3 bucket.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Path (string) -- [REQUIRED]
A path in Amazon S3 where the transform will write a subset of records from the dataset to a JSON file in an Amazon S3 bucket.
Topk (integer) --
Specifies a number of records to write starting from the beginning of the dataset.
Prob (float) --
The probability (a decimal value with a maximum value of 1) of picking any given record. A value of 1 indicates that each row read from the dataset should be included in the sample output.
Join (dict) --
Specifies a transform that joins two datasets into one dataset using a comparison phrase on the specified data property keys. You can use inner, outer, left, right, left semi, and left anti joins.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
JoinType (string) -- [REQUIRED]
Specifies the type of join to be performed on the datasets.
Columns (list) -- [REQUIRED]
A list of the two columns to be joined.
(dict) --
Specifies a column to be joined.
From (string) -- [REQUIRED]
The column to be joined.
Keys (list) -- [REQUIRED]
The key of the column to be joined.
(list) --
(string) --
SplitFields (dict) --
Specifies a transform that splits data property keys into two DynamicFrames . The output is a collection of DynamicFrames : one with selected data property keys, and one with the remaining data property keys.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Paths (list) -- [REQUIRED]
A JSON path to a variable in the data structure.
(list) --
(string) --
SelectFromCollection (dict) --
Specifies a transform that chooses one DynamicFrame from a collection of DynamicFrames . The output is the selected DynamicFrame
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Index (integer) -- [REQUIRED]
The index for the DynamicFrame to be selected.
FillMissingValues (dict) --
Specifies a transform that locates records in the dataset that have missing values and adds a new field with a value determined by imputation. The input data set is used to train the machine learning model that determines what the missing value should be.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
ImputedPath (string) -- [REQUIRED]
A JSON path to a variable in the data structure for the dataset that is imputed.
FilledPath (string) --
A JSON path to a variable in the data structure for the dataset that is filled.
Filter (dict) --
Specifies a transform that splits a dataset into two, based on a filter condition.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
LogicalOperator (string) -- [REQUIRED]
The operator used to filter rows by comparing the key value to a specified value.
Filters (list) -- [REQUIRED]
Specifies a filter expression.
(dict) --
Specifies a filter expression.
Operation (string) -- [REQUIRED]
The type of operation to perform in the expression.
Negated (boolean) --
Whether the expression is to be negated.
Values (list) -- [REQUIRED]
A list of filter values.
(dict) --
Represents a single entry in the list of values for a FilterExpression .
Type (string) -- [REQUIRED]
The type of filter value.
Value (list) -- [REQUIRED]
The value to be associated.
(string) --
CustomCode (dict) --
Specifies a transform that uses custom code you provide to perform the data transformation. The output is a collection of DynamicFrames.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Code (string) -- [REQUIRED]
The custom code that is used to perform the data transformation.
ClassName (string) -- [REQUIRED]
The name defined for the custom code node class.
OutputSchemas (list) --
Specifies the data schema for the custom code transform.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkSQL (dict) --
Specifies a transform where you enter a SQL query using Spark SQL syntax to transform the data. The output is a single DynamicFrame .
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.
(string) --
SqlQuery (string) -- [REQUIRED]
A SQL query that must use Spark SQL syntax and return a single data set.
SqlAliases (list) -- [REQUIRED]
A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:
select * from SqlName
and that gets data from MyDataSource.
(dict) --
Represents a single entry in the list of values for SqlAliases .
From (string) -- [REQUIRED]
A table, or a column in a table.
Alias (string) -- [REQUIRED]
A temporary name given to a table, or a column in a table.
OutputSchemas (list) --
Specifies the data schema for the SparkSQL transform.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
DirectKinesisSource (dict) --
Specifies a direct Amazon Kinesis data source.
Name (string) -- [REQUIRED]
The name of the data source.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
StreamingOptions (dict) --
Additional options for the Kinesis streaming data source.
EndpointUrl (string) --
The URL of the Kinesis endpoint.
StreamName (string) --
The name of the Kinesis data stream.
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingPosition (string) --
The starting position in the Kinesis data stream to read data from. The possible values are "latest" , "trim_horizon" , or "earliest" . The default value is "latest" .
MaxFetchTimeInMs (integer) --
The maximum time spent in the job executor to fetch a record from the Kinesis data stream per shard, specified in milliseconds (ms). The default value is 1000 .
MaxFetchRecordsPerShard (integer) --
The maximum number of records to fetch per shard in the Kinesis data stream. The default value is 100000 .
MaxRecordPerRead (integer) --
The maximum number of records to fetch from the Kinesis data stream in each getRecords operation. The default value is 10000 .
AddIdleTimeBetweenReads (boolean) --
Adds a time delay between two consecutive getRecords operations. The default value is "False" . This option is only configurable for Glue version 2.0 and above.
IdleTimeBetweenReadsInMs (integer) --
The minimum time delay between two consecutive getRecords operations, specified in ms. The default value is 1000 . This option is only configurable for Glue version 2.0 and above.
DescribeShardInterval (integer) --
The minimum time interval between two ListShards API calls for your script to consider resharding. The default value is 1s .
NumRetries (integer) --
The maximum number of retries for Kinesis Data Streams API requests. The default value is 3 .
RetryIntervalMs (integer) --
The cool-off time period (specified in ms) before retrying the Kinesis Data Streams API call. The default value is 1000 .
MaxRetryIntervalMs (integer) --
The maximum cool-off time period (specified in ms) between two retries of a Kinesis Data Streams API call. The default value is 10000 .
AvoidEmptyBatches (boolean) --
Avoids creating an empty microbatch job by checking for unread data in the Kinesis data stream before the batch is started. The default value is "False" .
StreamArn (string) --
The Amazon Resource Name (ARN) of the Kinesis data stream.
RoleArn (string) --
The Amazon Resource Name (ARN) of the role to assume using AWS Security Token Service (AWS STS). This role must have permissions for describe or read record operations for the Kinesis data stream. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSSessionName" .
RoleSessionName (string) --
An identifier for the session assuming the role using AWS STS. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSRoleARN" .
DataPreviewOptions (dict) --
Additional options for data preview.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
DirectKafkaSource (dict) --
Specifies an Apache Kafka data store.
Name (string) -- [REQUIRED]
The name of the data store.
StreamingOptions (dict) --
Specifies the streaming options.
BootstrapServers (string) --
A list of bootstrap server URLs, for example, as b-1.vpc-test-2.o4q88o.c6.kafka.us-east-1.amazonaws.com:9094 . This option must be specified in the API call or defined in the table metadata in the Data Catalog.
SecurityProtocol (string) --
The protocol used to communicate with brokers. The possible values are "SSL" or "PLAINTEXT" .
ConnectionName (string) --
The name of the connection.
TopicName (string) --
The topic name as specified in Apache Kafka. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Assign (string) --
The specific TopicPartitions to consume. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
SubscribePattern (string) --
A Java regex string that identifies the topic list to subscribe to. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingOffsets (string) --
The starting position in the Kafka topic to read data from. The possible values are "earliest" or "latest" . The default value is "latest" .
EndingOffsets (string) --
The end point when a batch query is ended. Possible values are either "latest" or a JSON string that specifies an ending offset for each TopicPartition .
PollTimeoutMs (integer) --
The timeout in milliseconds to poll data from Kafka in Spark job executors. The default value is 512 .
NumRetries (integer) --
The number of times to retry before failing to fetch Kafka offsets. The default value is 3 .
RetryIntervalMs (integer) --
The time in milliseconds to wait before retrying to fetch Kafka offsets. The default value is 10 .
MaxOffsetsPerTrigger (integer) --
The rate limit on the maximum number of offsets that are processed per trigger interval. The specified total number of offsets is proportionally split across topicPartitions of different volumes. The default value is null, which means that the consumer reads all offsets until the known latest offset.
MinPartitions (integer) --
The desired minimum number of partitions to read from Kafka. The default value is null, which means that the number of spark partitions is equal to the number of Kafka partitions.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
DataPreviewOptions (dict) --
Specifies options related to data preview for viewing a sample of your data.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
CatalogKinesisSource (dict) --
Specifies a Kinesis data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
Database (string) -- [REQUIRED]
The name of the database to read from.
StreamingOptions (dict) --
Additional options for the Kinesis streaming data source.
EndpointUrl (string) --
The URL of the Kinesis endpoint.
StreamName (string) --
The name of the Kinesis data stream.
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingPosition (string) --
The starting position in the Kinesis data stream to read data from. The possible values are "latest" , "trim_horizon" , or "earliest" . The default value is "latest" .
MaxFetchTimeInMs (integer) --
The maximum time spent in the job executor to fetch a record from the Kinesis data stream per shard, specified in milliseconds (ms). The default value is 1000 .
MaxFetchRecordsPerShard (integer) --
The maximum number of records to fetch per shard in the Kinesis data stream. The default value is 100000 .
MaxRecordPerRead (integer) --
The maximum number of records to fetch from the Kinesis data stream in each getRecords operation. The default value is 10000 .
AddIdleTimeBetweenReads (boolean) --
Adds a time delay between two consecutive getRecords operations. The default value is "False" . This option is only configurable for Glue version 2.0 and above.
IdleTimeBetweenReadsInMs (integer) --
The minimum time delay between two consecutive getRecords operations, specified in ms. The default value is 1000 . This option is only configurable for Glue version 2.0 and above.
DescribeShardInterval (integer) --
The minimum time interval between two ListShards API calls for your script to consider resharding. The default value is 1s .
NumRetries (integer) --
The maximum number of retries for Kinesis Data Streams API requests. The default value is 3 .
RetryIntervalMs (integer) --
The cool-off time period (specified in ms) before retrying the Kinesis Data Streams API call. The default value is 1000 .
MaxRetryIntervalMs (integer) --
The maximum cool-off time period (specified in ms) between two retries of a Kinesis Data Streams API call. The default value is 10000 .
AvoidEmptyBatches (boolean) --
Avoids creating an empty microbatch job by checking for unread data in the Kinesis data stream before the batch is started. The default value is "False" .
StreamArn (string) --
The Amazon Resource Name (ARN) of the Kinesis data stream.
RoleArn (string) --
The Amazon Resource Name (ARN) of the role to assume using AWS Security Token Service (AWS STS). This role must have permissions for describe or read record operations for the Kinesis data stream. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSSessionName" .
RoleSessionName (string) --
An identifier for the session assuming the role using AWS STS. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSRoleARN" .
DataPreviewOptions (dict) --
Additional options for data preview.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
CatalogKafkaSource (dict) --
Specifies an Apache Kafka data store in the Data Catalog.
Name (string) -- [REQUIRED]
The name of the data store.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
Database (string) -- [REQUIRED]
The name of the database to read from.
StreamingOptions (dict) --
Specifies the streaming options.
BootstrapServers (string) --
A list of bootstrap server URLs, for example, as b-1.vpc-test-2.o4q88o.c6.kafka.us-east-1.amazonaws.com:9094 . This option must be specified in the API call or defined in the table metadata in the Data Catalog.
SecurityProtocol (string) --
The protocol used to communicate with brokers. The possible values are "SSL" or "PLAINTEXT" .
ConnectionName (string) --
The name of the connection.
TopicName (string) --
The topic name as specified in Apache Kafka. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Assign (string) --
The specific TopicPartitions to consume. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
SubscribePattern (string) --
A Java regex string that identifies the topic list to subscribe to. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingOffsets (string) --
The starting position in the Kafka topic to read data from. The possible values are "earliest" or "latest" . The default value is "latest" .
EndingOffsets (string) --
The end point when a batch query is ended. Possible values are either "latest" or a JSON string that specifies an ending offset for each TopicPartition .
PollTimeoutMs (integer) --
The timeout in milliseconds to poll data from Kafka in Spark job executors. The default value is 512 .
NumRetries (integer) --
The number of times to retry before failing to fetch Kafka offsets. The default value is 3 .
RetryIntervalMs (integer) --
The time in milliseconds to wait before retrying to fetch Kafka offsets. The default value is 10 .
MaxOffsetsPerTrigger (integer) --
The rate limit on the maximum number of offsets that are processed per trigger interval. The specified total number of offsets is proportionally split across topicPartitions of different volumes. The default value is null, which means that the consumer reads all offsets until the known latest offset.
MinPartitions (integer) --
The desired minimum number of partitions to read from Kafka. The default value is null, which means that the number of spark partitions is equal to the number of Kafka partitions.
DataPreviewOptions (dict) --
Specifies options related to data preview for viewing a sample of your data.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
DropNullFields (dict) --
Specifies a transform that removes columns from the dataset if all values in the column are 'null'. By default, Glue Studio will recognize null objects, but some values such as empty strings, strings that are "null", -1 integers or other placeholders such as zeros, are not automatically recognized as nulls.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
NullCheckBoxList (dict) --
A structure that represents whether certain values are recognized as null values for removal.
IsEmpty (boolean) --
Specifies that an empty string is considered as a null value.
IsNullString (boolean) --
Specifies that a value spelling out the word 'null' is considered as a null value.
IsNegOne (boolean) --
Specifies that an integer value of -1 is considered as a null value.
NullTextList (list) --
A structure that specifies a list of NullValueField structures that represent a custom null value such as zero or other value being used as a null placeholder unique to the dataset.
The DropNullFields transform removes custom null values only if both the value of the null placeholder and the datatype match the data.
(dict) --
Represents a custom null value such as a zeros or other value being used as a null placeholder unique to the dataset.
Value (string) -- [REQUIRED]
The value of the null placeholder.
Datatype (dict) -- [REQUIRED]
The datatype of the value.
Id (string) -- [REQUIRED]
The datatype of the value.
Label (string) -- [REQUIRED]
A label assigned to the datatype.
Merge (dict) --
Specifies a transform that merges a DynamicFrame with a staging DynamicFrame based on the specified primary keys to identify records. Duplicate records (records with the same primary keys) are not de-duplicated.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Source (string) -- [REQUIRED]
The source DynamicFrame that will be merged with a staging DynamicFrame .
PrimaryKeys (list) -- [REQUIRED]
The list of primary key fields to match records from the source and staging dynamic frames.
(list) --
(string) --
Union (dict) --
Specifies a transform that combines the rows from two or more datasets into a single result.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The node ID inputs to the transform.
(string) --
UnionType (string) -- [REQUIRED]
Indicates the type of Union transform.
Specify ALL to join all rows from data sources to the resulting DynamicFrame. The resulting union does not remove duplicate rows.
Specify DISTINCT to remove duplicate rows in the resulting DynamicFrame.
PIIDetection (dict) --
Specifies a transform that identifies, removes or masks PII data.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The node ID inputs to the transform.
(string) --
PiiType (string) -- [REQUIRED]
Indicates the type of PIIDetection transform.
EntityTypesToDetect (list) -- [REQUIRED]
Indicates the types of entities the PIIDetection transform will identify as PII data.
PII type entities include: PERSON_NAME, DATE, USA_SNN, EMAIL, USA_ITIN, USA_PASSPORT_NUMBER, PHONE_NUMBER, BANK_ACCOUNT, IP_ADDRESS, MAC_ADDRESS, USA_CPT_CODE, USA_HCPCS_CODE, USA_NATIONAL_DRUG_CODE, USA_MEDICARE_BENEFICIARY_IDENTIFIER, USA_HEALTH_INSURANCE_CLAIM_NUMBER,CREDIT_CARD,USA_NATIONAL_PROVIDER_IDENTIFIER,USA_DEA_NUMBER,USA_DRIVING_LICENSE
(string) --
OutputColumnName (string) --
Indicates the output column name that will contain any entity type detected in that row.
SampleFraction (float) --
Indicates the fraction of the data to sample when scanning for PII entities.
ThresholdFraction (float) --
Indicates the fraction of the data that must be met in order for a column to be identified as PII data.
MaskValue (string) --
Indicates the value that will replace the detected entity.
Aggregate (dict) --
Specifies a transform that groups rows by chosen fields and computes the aggregated value by specified function.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
Specifies the fields and rows to use as inputs for the aggregate transform.
(string) --
Groups (list) -- [REQUIRED]
Specifies the fields to group by.
(list) --
(string) --
Aggs (list) -- [REQUIRED]
Specifies the aggregate functions to be performed on specified fields.
(dict) --
Specifies the set of parameters needed to perform aggregation in the aggregate transform.
Column (list) -- [REQUIRED]
Specifies the column on the data set on which the aggregation function will be applied.
(string) --
AggFunc (string) -- [REQUIRED]
Specifies the aggregation function to apply.
Possible aggregation functions include: avg countDistinct, count, first, last, kurtosis, max, min, skewness, stddev_samp, stddev_pop, sum, sumDistinct, var_samp, var_pop
DropDuplicates (dict) --
Specifies a transform that removes rows of repeating data from a data set.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Columns (list) --
The name of the columns to be merged or removed if repeating.
(list) --
(string) --
GovernedCatalogTarget (dict) --
Specifies a data target that writes to a goverened catalog.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
Database (string) -- [REQUIRED]
The name of the database to write to.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the governed catalog.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
GovernedCatalogSource (dict) --
Specifies a data source in a goverened Data Catalog.
Name (string) -- [REQUIRED]
The name of the data store.
Database (string) -- [REQUIRED]
The database to read from.
Table (string) -- [REQUIRED]
The database table to read from.
PartitionPredicate (string) --
Partitions satisfying this predicate are deleted. Files within the retention period in these partitions are not deleted. Set to "" – empty by default.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
MicrosoftSQLServerCatalogSource (dict) --
Specifies a Microsoft SQL server data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
MySQLCatalogSource (dict) --
Specifies a MySQL data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
OracleSQLCatalogSource (dict) --
Specifies an Oracle data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
PostgreSQLCatalogSource (dict) --
Specifies a PostgresSQL data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
MicrosoftSQLServerCatalogTarget (dict) --
Specifies a target that uses Microsoft SQL.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
Database (string) -- [REQUIRED]
The name of the database to write to.
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
MySQLCatalogTarget (dict) --
Specifies a target that uses MySQL.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
Database (string) -- [REQUIRED]
The name of the database to write to.
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
OracleSQLCatalogTarget (dict) --
Specifies a target that uses Oracle SQL.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
Database (string) -- [REQUIRED]
The name of the database to write to.
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
PostgreSQLCatalogTarget (dict) --
Specifies a target that uses Postgres SQL.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
Database (string) -- [REQUIRED]
The name of the database to write to.
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
string
Indicates whether the job is run with a standard or flexible execution class. The standard execution-class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.
The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.
Only jobs with Glue version 3.0 and above and command type glueetl will be allowed to set ExecutionClass to FLEX . The flexible execution class is available for Spark jobs.
dict
The details for a source control configuration for a job, allowing synchronization of job artifacts to or from a remote repository.
Provider (string) --
The provider for the remote repository.
Repository (string) --
The name of the remote repository that contains the job artifacts.
Owner (string) --
The owner of the remote repository that contains the job artifacts.
Branch (string) --
An optional branch in the remote repository.
Folder (string) --
An optional folder in the remote repository.
LastCommitId (string) --
The last commit ID for a commit in the remote repository.
AuthStrategy (string) --
The type of authentication, which can be an authentication token stored in Amazon Web Services Secrets Manager, or a personal access token.
AuthToken (string) --
The value of an authorization token.
dict
Response Syntax
{
'Name': 'string'
}
Response Structure
(dict) --
Name (string) --
The unique name that was provided for this job definition.
{'Job': {'SourceControlDetails': {'AuthStrategy': 'PERSONAL_ACCESS_TOKEN | '
'AWS_SECRETS_MANAGER',
'AuthToken': 'string',
'Branch': 'string',
'Folder': 'string',
'LastCommitId': 'string',
'Owner': 'string',
'Provider': 'GITHUB | AWS_CODE_COMMIT',
'Repository': 'string'}}}
Retrieves an existing job definition.
See also: AWS API Documentation
Request Syntax
client.get_job(
JobName='string'
)
string
[REQUIRED]
The name of the job definition to retrieve.
dict
Response Syntax
{
'Job': {
'Name': 'string',
'Description': 'string',
'LogUri': 'string',
'Role': 'string',
'CreatedOn': datetime(2015, 1, 1),
'LastModifiedOn': datetime(2015, 1, 1),
'ExecutionProperty': {
'MaxConcurrentRuns': 123
},
'Command': {
'Name': 'string',
'ScriptLocation': 'string',
'PythonVersion': 'string'
},
'DefaultArguments': {
'string': 'string'
},
'NonOverridableArguments': {
'string': 'string'
},
'Connections': {
'Connections': [
'string',
]
},
'MaxRetries': 123,
'AllocatedCapacity': 123,
'Timeout': 123,
'MaxCapacity': 123.0,
'WorkerType': 'Standard'|'G.1X'|'G.2X'|'G.025X',
'NumberOfWorkers': 123,
'SecurityConfiguration': 'string',
'NotificationProperty': {
'NotifyDelayAfter': 123
},
'GlueVersion': 'string',
'CodeGenConfigurationNodes': {
'string': {
'AthenaConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'ConnectionTable': 'string',
'SchemaName': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'JDBCConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'FilterPredicate': 'string',
'PartitionColumn': 'string',
'LowerBound': 123,
'UpperBound': 123,
'NumPartitions': 123,
'JobBookmarkKeys': [
'string',
],
'JobBookmarkKeysSortOrder': 'string',
'DataTypeMapping': {
'string': 'DATE'|'STRING'|'TIMESTAMP'|'INT'|'FLOAT'|'LONG'|'BIGDECIMAL'|'BYTE'|'SHORT'|'DOUBLE'
}
},
'ConnectionTable': 'string',
'Query': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'CatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'RedshiftSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'RedshiftTmpDir': 'string',
'TmpDirIAMRole': 'string'
},
'S3CatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'PartitionPredicate': 'string',
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123
}
},
'S3CsvSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'gzip'|'bzip2',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'Separator': 'comma'|'ctrla'|'pipe'|'semicolon'|'tab',
'Escaper': 'string',
'QuoteChar': 'quote'|'quillemet'|'single_quote'|'disabled',
'Multiline': True|False,
'WithHeader': True|False,
'WriteHeader': True|False,
'SkipFirst': True|False,
'OptimizePerformance': True|False,
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'S3JsonSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'gzip'|'bzip2',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'JsonPath': 'string',
'Multiline': True|False,
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'S3ParquetSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'snappy'|'lzo'|'gzip'|'uncompressed'|'none',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'RelationalCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'DynamoDBCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'JDBCConnectorTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'ConnectionName': 'string',
'ConnectionTable': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkConnectorTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'CatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'RedshiftTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string',
'RedshiftTmpDir': 'string',
'TmpDirIAMRole': 'string',
'UpsertRedshiftOptions': {
'TableLocation': 'string',
'ConnectionName': 'string',
'UpsertKeys': [
'string',
]
}
},
'S3CatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Table': 'string',
'Database': 'string',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG'
}
},
'S3GlueParquetTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Path': 'string',
'Compression': 'snappy'|'lzo'|'gzip'|'uncompressed'|'none',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG',
'Table': 'string',
'Database': 'string'
}
},
'S3DirectTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Path': 'string',
'Compression': 'string',
'Format': 'json'|'csv'|'avro'|'orc'|'parquet',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG',
'Table': 'string',
'Database': 'string'
}
},
'ApplyMapping': {
'Name': 'string',
'Inputs': [
'string',
],
'Mapping': [
{
'ToKey': 'string',
'FromPath': [
'string',
],
'FromType': 'string',
'ToType': 'string',
'Dropped': True|False,
'Children': {'... recursive ...'}
},
]
},
'SelectFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'DropFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'RenameField': {
'Name': 'string',
'Inputs': [
'string',
],
'SourcePath': [
'string',
],
'TargetPath': [
'string',
]
},
'Spigot': {
'Name': 'string',
'Inputs': [
'string',
],
'Path': 'string',
'Topk': 123,
'Prob': 123.0
},
'Join': {
'Name': 'string',
'Inputs': [
'string',
],
'JoinType': 'equijoin'|'left'|'right'|'outer'|'leftsemi'|'leftanti',
'Columns': [
{
'From': 'string',
'Keys': [
[
'string',
],
]
},
]
},
'SplitFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'SelectFromCollection': {
'Name': 'string',
'Inputs': [
'string',
],
'Index': 123
},
'FillMissingValues': {
'Name': 'string',
'Inputs': [
'string',
],
'ImputedPath': 'string',
'FilledPath': 'string'
},
'Filter': {
'Name': 'string',
'Inputs': [
'string',
],
'LogicalOperator': 'AND'|'OR',
'Filters': [
{
'Operation': 'EQ'|'LT'|'GT'|'LTE'|'GTE'|'REGEX'|'ISNULL',
'Negated': True|False,
'Values': [
{
'Type': 'COLUMNEXTRACTED'|'CONSTANT',
'Value': [
'string',
]
},
]
},
]
},
'CustomCode': {
'Name': 'string',
'Inputs': [
'string',
],
'Code': 'string',
'ClassName': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkSQL': {
'Name': 'string',
'Inputs': [
'string',
],
'SqlQuery': 'string',
'SqlAliases': [
{
'From': 'string',
'Alias': 'string'
},
],
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'DirectKinesisSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'StreamingOptions': {
'EndpointUrl': 'string',
'StreamName': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingPosition': 'latest'|'trim_horizon'|'earliest',
'MaxFetchTimeInMs': 123,
'MaxFetchRecordsPerShard': 123,
'MaxRecordPerRead': 123,
'AddIdleTimeBetweenReads': True|False,
'IdleTimeBetweenReadsInMs': 123,
'DescribeShardInterval': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxRetryIntervalMs': 123,
'AvoidEmptyBatches': True|False,
'StreamArn': 'string',
'RoleArn': 'string',
'RoleSessionName': 'string'
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'DirectKafkaSource': {
'Name': 'string',
'StreamingOptions': {
'BootstrapServers': 'string',
'SecurityProtocol': 'string',
'ConnectionName': 'string',
'TopicName': 'string',
'Assign': 'string',
'SubscribePattern': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingOffsets': 'string',
'EndingOffsets': 'string',
'PollTimeoutMs': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxOffsetsPerTrigger': 123,
'MinPartitions': 123
},
'WindowSize': 123,
'DetectSchema': True|False,
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'CatalogKinesisSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'Table': 'string',
'Database': 'string',
'StreamingOptions': {
'EndpointUrl': 'string',
'StreamName': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingPosition': 'latest'|'trim_horizon'|'earliest',
'MaxFetchTimeInMs': 123,
'MaxFetchRecordsPerShard': 123,
'MaxRecordPerRead': 123,
'AddIdleTimeBetweenReads': True|False,
'IdleTimeBetweenReadsInMs': 123,
'DescribeShardInterval': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxRetryIntervalMs': 123,
'AvoidEmptyBatches': True|False,
'StreamArn': 'string',
'RoleArn': 'string',
'RoleSessionName': 'string'
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'CatalogKafkaSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'Table': 'string',
'Database': 'string',
'StreamingOptions': {
'BootstrapServers': 'string',
'SecurityProtocol': 'string',
'ConnectionName': 'string',
'TopicName': 'string',
'Assign': 'string',
'SubscribePattern': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingOffsets': 'string',
'EndingOffsets': 'string',
'PollTimeoutMs': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxOffsetsPerTrigger': 123,
'MinPartitions': 123
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'DropNullFields': {
'Name': 'string',
'Inputs': [
'string',
],
'NullCheckBoxList': {
'IsEmpty': True|False,
'IsNullString': True|False,
'IsNegOne': True|False
},
'NullTextList': [
{
'Value': 'string',
'Datatype': {
'Id': 'string',
'Label': 'string'
}
},
]
},
'Merge': {
'Name': 'string',
'Inputs': [
'string',
],
'Source': 'string',
'PrimaryKeys': [
[
'string',
],
]
},
'Union': {
'Name': 'string',
'Inputs': [
'string',
],
'UnionType': 'ALL'|'DISTINCT'
},
'PIIDetection': {
'Name': 'string',
'Inputs': [
'string',
],
'PiiType': 'RowAudit'|'RowMasking'|'ColumnAudit'|'ColumnMasking',
'EntityTypesToDetect': [
'string',
],
'OutputColumnName': 'string',
'SampleFraction': 123.0,
'ThresholdFraction': 123.0,
'MaskValue': 'string'
},
'Aggregate': {
'Name': 'string',
'Inputs': [
'string',
],
'Groups': [
[
'string',
],
],
'Aggs': [
{
'Column': [
'string',
],
'AggFunc': 'avg'|'countDistinct'|'count'|'first'|'last'|'kurtosis'|'max'|'min'|'skewness'|'stddev_samp'|'stddev_pop'|'sum'|'sumDistinct'|'var_samp'|'var_pop'
},
]
},
'DropDuplicates': {
'Name': 'string',
'Inputs': [
'string',
],
'Columns': [
[
'string',
],
]
},
'GovernedCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Table': 'string',
'Database': 'string',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG'
}
},
'GovernedCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'PartitionPredicate': 'string',
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123
}
},
'MicrosoftSQLServerCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'MySQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'OracleSQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'PostgreSQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'MicrosoftSQLServerCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'MySQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'OracleSQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'PostgreSQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
}
}
},
'ExecutionClass': 'FLEX'|'STANDARD',
'SourceControlDetails': {
'Provider': 'GITHUB'|'AWS_CODE_COMMIT',
'Repository': 'string',
'Owner': 'string',
'Branch': 'string',
'Folder': 'string',
'LastCommitId': 'string',
'AuthStrategy': 'PERSONAL_ACCESS_TOKEN'|'AWS_SECRETS_MANAGER',
'AuthToken': 'string'
}
}
}
Response Structure
(dict) --
Job (dict) --
The requested job definition.
Name (string) --
The name you assign to this job definition.
Description (string) --
A description of the job.
LogUri (string) --
This field is reserved for future use.
Role (string) --
The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
CreatedOn (datetime) --
The time and date that this job definition was created.
LastModifiedOn (datetime) --
The last point in time when this job definition was modified.
ExecutionProperty (dict) --
An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.
MaxConcurrentRuns (integer) --
The maximum number of concurrent runs allowed for the job. The default is 1. An error is returned when this threshold is reached. The maximum value you can specify is controlled by a service limit.
Command (dict) --
The JobCommand that runs this job.
Name (string) --
The name of the job command. For an Apache Spark ETL job, this must be glueetl . For a Python shell job, it must be pythonshell . For an Apache Spark streaming ETL job, this must be gluestreaming .
ScriptLocation (string) --
Specifies the Amazon Simple Storage Service (Amazon S3) path to a script that runs a job.
PythonVersion (string) --
The Python version being used to run a Python shell job. Allowed values are 2 or 3.
DefaultArguments (dict) --
The default arguments for this job, specified as name-value pairs.
You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.
For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
For information about the key-value pairs that Glue consumes to set up your job, see the Special Parameters Used by Glue topic in the developer guide.
(string) --
(string) --
NonOverridableArguments (dict) --
Non-overridable arguments for this job, specified as name-value pairs.
(string) --
(string) --
Connections (dict) --
The connections used for this job.
Connections (list) --
A list of connections used by the job.
(string) --
MaxRetries (integer) --
The maximum number of times to retry this job after a JobRun fails.
AllocatedCapacity (integer) --
This field is deprecated. Use MaxCapacity instead.
The number of Glue data processing units (DPUs) allocated to runs of this job. You can allocate a minimum of 2 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page .
Timeout (integer) --
The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
MaxCapacity (float) --
For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page .
Do not set Max Capacity if using WorkerType and NumberOfWorkers .
The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:
When you specify a Python shell job (JobCommand.Name ="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
When you specify an Apache Spark ETL job (JobCommand.Name ="glueetl") or Apache Spark streaming ETL job (JobCommand.Name ="gluestreaming"), you can allocate a minimum of 2 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
For Glue version 2.0 jobs, you cannot instead specify a Maximum capacity . Instead, you should specify a Worker type and the Number of workers .
WorkerType (string) --
The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X.
For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.
NumberOfWorkers (integer) --
The number of workers of a defined workerType that are allocated when a job runs.
SecurityConfiguration (string) --
The name of the SecurityConfiguration structure to be used with this job.
NotificationProperty (dict) --
Specifies configuration properties of a job notification.
NotifyDelayAfter (integer) --
After a job run starts, the number of minutes to wait before sending a job run delay notification.
GlueVersion (string) --
Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for jobs of type Spark.
For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.
Jobs that are created without specifying a Glue version default to Glue 0.9.
CodeGenConfigurationNodes (dict) --
The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
(string) --
(dict) --
CodeGenConfigurationNode enumerates all valid Node types. One and only one of its member variables can be populated.
AthenaConnectorSource (dict) --
Specifies a connector to an Amazon Athena data source.
Name (string) --
The name of the data source.
ConnectionName (string) --
The name of the connection that is associated with the connector.
ConnectorName (string) --
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) --
The type of connection, such as marketplace.athena or custom.athena, designating a connection to an Amazon Athena data store.
ConnectionTable (string) --
The name of the table in the data source.
SchemaName (string) --
The name of the Cloudwatch log group to read from. For example, /aws-glue/jobs/output .
OutputSchemas (list) --
Specifies the data schema for the custom Athena source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
JDBCConnectorSource (dict) --
Specifies a connector to a JDBC data source.
Name (string) --
The name of the data source.
ConnectionName (string) --
The name of the connection that is associated with the connector.
ConnectorName (string) --
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) --
The type of connection, such as marketplace.jdbc or custom.jdbc, designating a connection to a JDBC data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
FilterPredicate (string) --
Extra condition clause to filter data from source. For example:
BillingCity='Mountain View'
When using a query instead of a table name, you should validate that the query works with the specified filterPredicate .
PartitionColumn (string) --
The name of an integer column that is used for partitioning. This option works only when it's included with lowerBound , upperBound , and numPartitions . This option works the same way as in the Spark SQL JDBC reader.
LowerBound (integer) --
The minimum value of partitionColumn that is used to decide partition stride.
UpperBound (integer) --
The maximum value of partitionColumn that is used to decide partition stride.
NumPartitions (integer) --
The number of partitions. This value, along with lowerBound (inclusive) and upperBound (exclusive), form partition strides for generated WHERE clause expressions that are used to split the partitionColumn .
JobBookmarkKeys (list) --
The name of the job bookmark keys on which to sort.
(string) --
JobBookmarkKeysSortOrder (string) --
Specifies an ascending or descending sort order.
DataTypeMapping (dict) --
Custom data type mapping that builds a mapping from a JDBC data type to an Glue data type. For example, the option "dataTypeMapping":{"FLOAT":"STRING"} maps data fields of JDBC type FLOAT into the Java String type by calling the ResultSet.getString() method of the driver, and uses it to build the Glue record. The ResultSet object is implemented by each driver, so the behavior is specific to the driver you use. Refer to the documentation for your JDBC driver to understand how the driver performs the conversions.
(string) --
(string) --
ConnectionTable (string) --
The name of the table in the data source.
Query (string) --
The table or SQL query to get the data from. You can specify either ConnectionTable or query , but not both.
OutputSchemas (list) --
Specifies the data schema for the custom JDBC source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkConnectorSource (dict) --
Specifies a connector to an Apache Spark data source.
Name (string) --
The name of the data source.
ConnectionName (string) --
The name of the connection that is associated with the connector.
ConnectorName (string) --
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) --
The type of connection, such as marketplace.spark or custom.spark, designating a connection to an Apache Spark data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies data schema for the custom spark source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
CatalogSource (dict) --
Specifies a data store in the Glue Data Catalog.
Name (string) --
The name of the data store.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
RedshiftSource (dict) --
Specifies an Amazon Redshift data store.
Name (string) --
The name of the Amazon Redshift data store.
Database (string) --
The database to read from.
Table (string) --
The database table to read from.
RedshiftTmpDir (string) --
The Amazon S3 path where temporary data can be staged when copying out of the database.
TmpDirIAMRole (string) --
The IAM role with permissions.
S3CatalogSource (dict) --
Specifies an Amazon S3 data store in the Glue Data Catalog.
Name (string) --
The name of the data store.
Database (string) --
The database to read from.
Table (string) --
The database table to read from.
PartitionPredicate (string) --
Partitions satisfying this predicate are deleted. Files within the retention period in these partitions are not deleted. Set to "" – empty by default.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
S3CsvSource (dict) --
Specifies a command-separated value (CSV) data store stored in Amazon S3.
Name (string) --
The name of the data store.
Paths (list) --
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
Separator (string) --
Specifies the delimiter character. The default is a comma: ",", but any other character can be specified.
Escaper (string) --
Specifies a character to use for escaping. This option is used only when reading CSV files. The default value is none . If enabled, the character which immediately follows is used as-is, except for a small set of well-known escapes (\n , \r , \t , and \0 ).
QuoteChar (string) --
Specifies the character to use for quoting. The default is a double quote: '"' . Set this to -1 to turn off quoting entirely.
Multiline (boolean) --
A Boolean value that specifies whether a single record can span multiple lines. This can occur when a field contains a quoted new-line character. You must set this option to True if any record spans multiple lines. The default value is False , which allows for more aggressive file-splitting during parsing.
WithHeader (boolean) --
A Boolean value that specifies whether to treat the first line as a header. The default value is False .
WriteHeader (boolean) --
A Boolean value that specifies whether to write the header to output. The default value is True .
SkipFirst (boolean) --
A Boolean value that specifies whether to skip the first data line. The default value is False .
OptimizePerformance (boolean) --
A Boolean value that specifies whether to use the advanced SIMD CSV reader along with Apache Arrow based columnar memory formats. Only available in Glue version 3.0.
OutputSchemas (list) --
Specifies the data schema for the S3 CSV source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
S3JsonSource (dict) --
Specifies a JSON data store stored in Amazon S3.
Name (string) --
The name of the data store.
Paths (list) --
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
JsonPath (string) --
A JsonPath string defining the JSON data.
Multiline (boolean) --
A Boolean value that specifies whether a single record can span multiple lines. This can occur when a field contains a quoted new-line character. You must set this option to True if any record spans multiple lines. The default value is False , which allows for more aggressive file-splitting during parsing.
OutputSchemas (list) --
Specifies the data schema for the S3 JSON source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
S3ParquetSource (dict) --
Specifies an Apache Parquet data store stored in Amazon S3.
Name (string) --
The name of the data store.
Paths (list) --
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
OutputSchemas (list) --
Specifies the data schema for the S3 Parquet source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
RelationalCatalogSource (dict) --
Specifies a Relational database data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
DynamoDBCatalogSource (dict) --
Specifies a DynamoDB data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
JDBCConnectorTarget (dict) --
Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
ConnectionName (string) --
The name of the connection that is associated with the connector.
ConnectionTable (string) --
The name of the table in the data target.
ConnectorName (string) --
The name of a connector that will be used.
ConnectionType (string) --
The type of connection, such as marketplace.jdbc or custom.jdbc, designating a connection to a JDBC data target.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies the data schema for the JDBC target.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkConnectorTarget (dict) --
Specifies a target that uses an Apache Spark connector.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
ConnectionName (string) --
The name of a connection for an Apache Spark connector.
ConnectorName (string) --
The name of an Apache Spark connector.
ConnectionType (string) --
The type of connection, such as marketplace.spark or custom.spark, designating a connection to an Apache Spark data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies the data schema for the custom spark target.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
CatalogTarget (dict) --
Specifies a target that uses a Glue Data Catalog table.
Name (string) --
The name of your data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The database that contains the table you want to use as the target. This database must already exist in the Data Catalog.
Table (string) --
The table that defines the schema of your output data. This table must already exist in the Data Catalog.
RedshiftTarget (dict) --
Specifies a target that uses Amazon Redshift.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
RedshiftTmpDir (string) --
The Amazon S3 path where temporary data can be staged when copying out of the database.
TmpDirIAMRole (string) --
The IAM role with permissions.
UpsertRedshiftOptions (dict) --
The set of options to configure an upsert operation when writing to a Redshift target.
TableLocation (string) --
The physical location of the Redshift table.
ConnectionName (string) --
The name of the connection to use to write to Redshift.
UpsertKeys (list) --
The keys used to determine whether to perform an update or insert.
(string) --
S3CatalogTarget (dict) --
Specifies a data target that writes to Amazon S3 using the Glue Data Catalog.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Table (string) --
The name of the table in the database to write to.
Database (string) --
The name of the database to write to.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
S3GlueParquetTarget (dict) --
Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Path (string) --
A single Amazon S3 path to write to.
Compression (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
Table (string) --
Specifies the table in the database that the schema change policy applies to.
Database (string) --
Specifies the database that the schema change policy applies to.
S3DirectTarget (dict) --
Specifies a data target that writes to Amazon S3.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Path (string) --
A single Amazon S3 path to write to.
Compression (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Format (string) --
Specifies the data output format for the target.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
Table (string) --
Specifies the table in the database that the schema change policy applies to.
Database (string) --
Specifies the database that the schema change policy applies to.
ApplyMapping (dict) --
Specifies a transform that maps data property keys in the data source to data property keys in the data target. You can rename keys, modify the data types for keys, and choose which keys to drop from the dataset.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Mapping (list) --
Specifies the mapping of data property keys in the data source to data property keys in the data target.
(dict) --
Specifies the mapping of data property keys.
ToKey (string) --
After the apply mapping, what the name of the column should be. Can be the same as FromPath .
FromPath (list) --
The table or column to be modified.
(string) --
FromType (string) --
The type of the data to be modified.
ToType (string) --
The data type that the data is to be modified to.
Dropped (boolean) --
If true, then the column is removed.
Children (list) --
Only applicable to nested data structures. If you want to change the parent structure, but also one of its children, you can fill out this data strucutre. It is also Mapping , but its FromPath will be the parent's FromPath plus the FromPath from this structure.
For the children part, suppose you have the structure:
{ "FromPath": "OuterStructure", "ToKey": "OuterStructure", "ToType": "Struct", "Dropped": false, "Chidlren": [{ "FromPath": "inner", "ToKey": "inner", "ToType": "Double", "Dropped": false, }] }
You can specify a Mapping that looks like:
{ "FromPath": "OuterStructure", "ToKey": "OuterStructure", "ToType": "Struct", "Dropped": false, "Chidlren": [{ "FromPath": "inner", "ToKey": "inner", "ToType": "Double", "Dropped": false, }] }
SelectFields (dict) --
Specifies a transform that chooses the data property keys that you want to keep.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Paths (list) --
A JSON path to a variable in the data structure.
(list) --
(string) --
DropFields (dict) --
Specifies a transform that chooses the data property keys that you want to drop.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Paths (list) --
A JSON path to a variable in the data structure.
(list) --
(string) --
RenameField (dict) --
Specifies a transform that renames a single data property key.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
SourcePath (list) --
A JSON path to a variable in the data structure for the source data.
(string) --
TargetPath (list) --
A JSON path to a variable in the data structure for the target data.
(string) --
Spigot (dict) --
Specifies a transform that writes samples of the data to an Amazon S3 bucket.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Path (string) --
A path in Amazon S3 where the transform will write a subset of records from the dataset to a JSON file in an Amazon S3 bucket.
Topk (integer) --
Specifies a number of records to write starting from the beginning of the dataset.
Prob (float) --
The probability (a decimal value with a maximum value of 1) of picking any given record. A value of 1 indicates that each row read from the dataset should be included in the sample output.
Join (dict) --
Specifies a transform that joins two datasets into one dataset using a comparison phrase on the specified data property keys. You can use inner, outer, left, right, left semi, and left anti joins.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
JoinType (string) --
Specifies the type of join to be performed on the datasets.
Columns (list) --
A list of the two columns to be joined.
(dict) --
Specifies a column to be joined.
From (string) --
The column to be joined.
Keys (list) --
The key of the column to be joined.
(list) --
(string) --
SplitFields (dict) --
Specifies a transform that splits data property keys into two DynamicFrames . The output is a collection of DynamicFrames : one with selected data property keys, and one with the remaining data property keys.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Paths (list) --
A JSON path to a variable in the data structure.
(list) --
(string) --
SelectFromCollection (dict) --
Specifies a transform that chooses one DynamicFrame from a collection of DynamicFrames . The output is the selected DynamicFrame
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Index (integer) --
The index for the DynamicFrame to be selected.
FillMissingValues (dict) --
Specifies a transform that locates records in the dataset that have missing values and adds a new field with a value determined by imputation. The input data set is used to train the machine learning model that determines what the missing value should be.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
ImputedPath (string) --
A JSON path to a variable in the data structure for the dataset that is imputed.
FilledPath (string) --
A JSON path to a variable in the data structure for the dataset that is filled.
Filter (dict) --
Specifies a transform that splits a dataset into two, based on a filter condition.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
LogicalOperator (string) --
The operator used to filter rows by comparing the key value to a specified value.
Filters (list) --
Specifies a filter expression.
(dict) --
Specifies a filter expression.
Operation (string) --
The type of operation to perform in the expression.
Negated (boolean) --
Whether the expression is to be negated.
Values (list) --
A list of filter values.
(dict) --
Represents a single entry in the list of values for a FilterExpression .
Type (string) --
The type of filter value.
Value (list) --
The value to be associated.
(string) --
CustomCode (dict) --
Specifies a transform that uses custom code you provide to perform the data transformation. The output is a collection of DynamicFrames.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Code (string) --
The custom code that is used to perform the data transformation.
ClassName (string) --
The name defined for the custom code node class.
OutputSchemas (list) --
Specifies the data schema for the custom code transform.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkSQL (dict) --
Specifies a transform where you enter a SQL query using Spark SQL syntax to transform the data. The output is a single DynamicFrame .
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.
(string) --
SqlQuery (string) --
A SQL query that must use Spark SQL syntax and return a single data set.
SqlAliases (list) --
A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:
select * from SqlName
and that gets data from MyDataSource.
(dict) --
Represents a single entry in the list of values for SqlAliases .
From (string) --
A table, or a column in a table.
Alias (string) --
A temporary name given to a table, or a column in a table.
OutputSchemas (list) --
Specifies the data schema for the SparkSQL transform.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
DirectKinesisSource (dict) --
Specifies a direct Amazon Kinesis data source.
Name (string) --
The name of the data source.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
StreamingOptions (dict) --
Additional options for the Kinesis streaming data source.
EndpointUrl (string) --
The URL of the Kinesis endpoint.
StreamName (string) --
The name of the Kinesis data stream.
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingPosition (string) --
The starting position in the Kinesis data stream to read data from. The possible values are "latest" , "trim_horizon" , or "earliest" . The default value is "latest" .
MaxFetchTimeInMs (integer) --
The maximum time spent in the job executor to fetch a record from the Kinesis data stream per shard, specified in milliseconds (ms). The default value is 1000 .
MaxFetchRecordsPerShard (integer) --
The maximum number of records to fetch per shard in the Kinesis data stream. The default value is 100000 .
MaxRecordPerRead (integer) --
The maximum number of records to fetch from the Kinesis data stream in each getRecords operation. The default value is 10000 .
AddIdleTimeBetweenReads (boolean) --
Adds a time delay between two consecutive getRecords operations. The default value is "False" . This option is only configurable for Glue version 2.0 and above.
IdleTimeBetweenReadsInMs (integer) --
The minimum time delay between two consecutive getRecords operations, specified in ms. The default value is 1000 . This option is only configurable for Glue version 2.0 and above.
DescribeShardInterval (integer) --
The minimum time interval between two ListShards API calls for your script to consider resharding. The default value is 1s .
NumRetries (integer) --
The maximum number of retries for Kinesis Data Streams API requests. The default value is 3 .
RetryIntervalMs (integer) --
The cool-off time period (specified in ms) before retrying the Kinesis Data Streams API call. The default value is 1000 .
MaxRetryIntervalMs (integer) --
The maximum cool-off time period (specified in ms) between two retries of a Kinesis Data Streams API call. The default value is 10000 .
AvoidEmptyBatches (boolean) --
Avoids creating an empty microbatch job by checking for unread data in the Kinesis data stream before the batch is started. The default value is "False" .
StreamArn (string) --
The Amazon Resource Name (ARN) of the Kinesis data stream.
RoleArn (string) --
The Amazon Resource Name (ARN) of the role to assume using AWS Security Token Service (AWS STS). This role must have permissions for describe or read record operations for the Kinesis data stream. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSSessionName" .
RoleSessionName (string) --
An identifier for the session assuming the role using AWS STS. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSRoleARN" .
DataPreviewOptions (dict) --
Additional options for data preview.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
DirectKafkaSource (dict) --
Specifies an Apache Kafka data store.
Name (string) --
The name of the data store.
StreamingOptions (dict) --
Specifies the streaming options.
BootstrapServers (string) --
A list of bootstrap server URLs, for example, as b-1.vpc-test-2.o4q88o.c6.kafka.us-east-1.amazonaws.com:9094 . This option must be specified in the API call or defined in the table metadata in the Data Catalog.
SecurityProtocol (string) --
The protocol used to communicate with brokers. The possible values are "SSL" or "PLAINTEXT" .
ConnectionName (string) --
The name of the connection.
TopicName (string) --
The topic name as specified in Apache Kafka. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Assign (string) --
The specific TopicPartitions to consume. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
SubscribePattern (string) --
A Java regex string that identifies the topic list to subscribe to. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingOffsets (string) --
The starting position in the Kafka topic to read data from. The possible values are "earliest" or "latest" . The default value is "latest" .
EndingOffsets (string) --
The end point when a batch query is ended. Possible values are either "latest" or a JSON string that specifies an ending offset for each TopicPartition .
PollTimeoutMs (integer) --
The timeout in milliseconds to poll data from Kafka in Spark job executors. The default value is 512 .
NumRetries (integer) --
The number of times to retry before failing to fetch Kafka offsets. The default value is 3 .
RetryIntervalMs (integer) --
The time in milliseconds to wait before retrying to fetch Kafka offsets. The default value is 10 .
MaxOffsetsPerTrigger (integer) --
The rate limit on the maximum number of offsets that are processed per trigger interval. The specified total number of offsets is proportionally split across topicPartitions of different volumes. The default value is null, which means that the consumer reads all offsets until the known latest offset.
MinPartitions (integer) --
The desired minimum number of partitions to read from Kafka. The default value is null, which means that the number of spark partitions is equal to the number of Kafka partitions.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
DataPreviewOptions (dict) --
Specifies options related to data preview for viewing a sample of your data.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
CatalogKinesisSource (dict) --
Specifies a Kinesis data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
Table (string) --
The name of the table in the database to read from.
Database (string) --
The name of the database to read from.
StreamingOptions (dict) --
Additional options for the Kinesis streaming data source.
EndpointUrl (string) --
The URL of the Kinesis endpoint.
StreamName (string) --
The name of the Kinesis data stream.
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingPosition (string) --
The starting position in the Kinesis data stream to read data from. The possible values are "latest" , "trim_horizon" , or "earliest" . The default value is "latest" .
MaxFetchTimeInMs (integer) --
The maximum time spent in the job executor to fetch a record from the Kinesis data stream per shard, specified in milliseconds (ms). The default value is 1000 .
MaxFetchRecordsPerShard (integer) --
The maximum number of records to fetch per shard in the Kinesis data stream. The default value is 100000 .
MaxRecordPerRead (integer) --
The maximum number of records to fetch from the Kinesis data stream in each getRecords operation. The default value is 10000 .
AddIdleTimeBetweenReads (boolean) --
Adds a time delay between two consecutive getRecords operations. The default value is "False" . This option is only configurable for Glue version 2.0 and above.
IdleTimeBetweenReadsInMs (integer) --
The minimum time delay between two consecutive getRecords operations, specified in ms. The default value is 1000 . This option is only configurable for Glue version 2.0 and above.
DescribeShardInterval (integer) --
The minimum time interval between two ListShards API calls for your script to consider resharding. The default value is 1s .
NumRetries (integer) --
The maximum number of retries for Kinesis Data Streams API requests. The default value is 3 .
RetryIntervalMs (integer) --
The cool-off time period (specified in ms) before retrying the Kinesis Data Streams API call. The default value is 1000 .
MaxRetryIntervalMs (integer) --
The maximum cool-off time period (specified in ms) between two retries of a Kinesis Data Streams API call. The default value is 10000 .
AvoidEmptyBatches (boolean) --
Avoids creating an empty microbatch job by checking for unread data in the Kinesis data stream before the batch is started. The default value is "False" .
StreamArn (string) --
The Amazon Resource Name (ARN) of the Kinesis data stream.
RoleArn (string) --
The Amazon Resource Name (ARN) of the role to assume using AWS Security Token Service (AWS STS). This role must have permissions for describe or read record operations for the Kinesis data stream. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSSessionName" .
RoleSessionName (string) --
An identifier for the session assuming the role using AWS STS. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSRoleARN" .
DataPreviewOptions (dict) --
Additional options for data preview.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
CatalogKafkaSource (dict) --
Specifies an Apache Kafka data store in the Data Catalog.
Name (string) --
The name of the data store.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
Table (string) --
The name of the table in the database to read from.
Database (string) --
The name of the database to read from.
StreamingOptions (dict) --
Specifies the streaming options.
BootstrapServers (string) --
A list of bootstrap server URLs, for example, as b-1.vpc-test-2.o4q88o.c6.kafka.us-east-1.amazonaws.com:9094 . This option must be specified in the API call or defined in the table metadata in the Data Catalog.
SecurityProtocol (string) --
The protocol used to communicate with brokers. The possible values are "SSL" or "PLAINTEXT" .
ConnectionName (string) --
The name of the connection.
TopicName (string) --
The topic name as specified in Apache Kafka. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Assign (string) --
The specific TopicPartitions to consume. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
SubscribePattern (string) --
A Java regex string that identifies the topic list to subscribe to. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingOffsets (string) --
The starting position in the Kafka topic to read data from. The possible values are "earliest" or "latest" . The default value is "latest" .
EndingOffsets (string) --
The end point when a batch query is ended. Possible values are either "latest" or a JSON string that specifies an ending offset for each TopicPartition .
PollTimeoutMs (integer) --
The timeout in milliseconds to poll data from Kafka in Spark job executors. The default value is 512 .
NumRetries (integer) --
The number of times to retry before failing to fetch Kafka offsets. The default value is 3 .
RetryIntervalMs (integer) --
The time in milliseconds to wait before retrying to fetch Kafka offsets. The default value is 10 .
MaxOffsetsPerTrigger (integer) --
The rate limit on the maximum number of offsets that are processed per trigger interval. The specified total number of offsets is proportionally split across topicPartitions of different volumes. The default value is null, which means that the consumer reads all offsets until the known latest offset.
MinPartitions (integer) --
The desired minimum number of partitions to read from Kafka. The default value is null, which means that the number of spark partitions is equal to the number of Kafka partitions.
DataPreviewOptions (dict) --
Specifies options related to data preview for viewing a sample of your data.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
DropNullFields (dict) --
Specifies a transform that removes columns from the dataset if all values in the column are 'null'. By default, Glue Studio will recognize null objects, but some values such as empty strings, strings that are "null", -1 integers or other placeholders such as zeros, are not automatically recognized as nulls.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
NullCheckBoxList (dict) --
A structure that represents whether certain values are recognized as null values for removal.
IsEmpty (boolean) --
Specifies that an empty string is considered as a null value.
IsNullString (boolean) --
Specifies that a value spelling out the word 'null' is considered as a null value.
IsNegOne (boolean) --
Specifies that an integer value of -1 is considered as a null value.
NullTextList (list) --
A structure that specifies a list of NullValueField structures that represent a custom null value such as zero or other value being used as a null placeholder unique to the dataset.
The DropNullFields transform removes custom null values only if both the value of the null placeholder and the datatype match the data.
(dict) --
Represents a custom null value such as a zeros or other value being used as a null placeholder unique to the dataset.
Value (string) --
The value of the null placeholder.
Datatype (dict) --
The datatype of the value.
Id (string) --
The datatype of the value.
Label (string) --
A label assigned to the datatype.
Merge (dict) --
Specifies a transform that merges a DynamicFrame with a staging DynamicFrame based on the specified primary keys to identify records. Duplicate records (records with the same primary keys) are not de-duplicated.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Source (string) --
The source DynamicFrame that will be merged with a staging DynamicFrame .
PrimaryKeys (list) --
The list of primary key fields to match records from the source and staging dynamic frames.
(list) --
(string) --
Union (dict) --
Specifies a transform that combines the rows from two or more datasets into a single result.
Name (string) --
The name of the transform node.
Inputs (list) --
The node ID inputs to the transform.
(string) --
UnionType (string) --
Indicates the type of Union transform.
Specify ALL to join all rows from data sources to the resulting DynamicFrame. The resulting union does not remove duplicate rows.
Specify DISTINCT to remove duplicate rows in the resulting DynamicFrame.
PIIDetection (dict) --
Specifies a transform that identifies, removes or masks PII data.
Name (string) --
The name of the transform node.
Inputs (list) --
The node ID inputs to the transform.
(string) --
PiiType (string) --
Indicates the type of PIIDetection transform.
EntityTypesToDetect (list) --
Indicates the types of entities the PIIDetection transform will identify as PII data.
PII type entities include: PERSON_NAME, DATE, USA_SNN, EMAIL, USA_ITIN, USA_PASSPORT_NUMBER, PHONE_NUMBER, BANK_ACCOUNT, IP_ADDRESS, MAC_ADDRESS, USA_CPT_CODE, USA_HCPCS_CODE, USA_NATIONAL_DRUG_CODE, USA_MEDICARE_BENEFICIARY_IDENTIFIER, USA_HEALTH_INSURANCE_CLAIM_NUMBER,CREDIT_CARD,USA_NATIONAL_PROVIDER_IDENTIFIER,USA_DEA_NUMBER,USA_DRIVING_LICENSE
(string) --
OutputColumnName (string) --
Indicates the output column name that will contain any entity type detected in that row.
SampleFraction (float) --
Indicates the fraction of the data to sample when scanning for PII entities.
ThresholdFraction (float) --
Indicates the fraction of the data that must be met in order for a column to be identified as PII data.
MaskValue (string) --
Indicates the value that will replace the detected entity.
Aggregate (dict) --
Specifies a transform that groups rows by chosen fields and computes the aggregated value by specified function.
Name (string) --
The name of the transform node.
Inputs (list) --
Specifies the fields and rows to use as inputs for the aggregate transform.
(string) --
Groups (list) --
Specifies the fields to group by.
(list) --
(string) --
Aggs (list) --
Specifies the aggregate functions to be performed on specified fields.
(dict) --
Specifies the set of parameters needed to perform aggregation in the aggregate transform.
Column (list) --
Specifies the column on the data set on which the aggregation function will be applied.
(string) --
AggFunc (string) --
Specifies the aggregation function to apply.
Possible aggregation functions include: avg countDistinct, count, first, last, kurtosis, max, min, skewness, stddev_samp, stddev_pop, sum, sumDistinct, var_samp, var_pop
DropDuplicates (dict) --
Specifies a transform that removes rows of repeating data from a data set.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Columns (list) --
The name of the columns to be merged or removed if repeating.
(list) --
(string) --
GovernedCatalogTarget (dict) --
Specifies a data target that writes to a goverened catalog.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Table (string) --
The name of the table in the database to write to.
Database (string) --
The name of the database to write to.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the governed catalog.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
GovernedCatalogSource (dict) --
Specifies a data source in a goverened Data Catalog.
Name (string) --
The name of the data store.
Database (string) --
The database to read from.
Table (string) --
The database table to read from.
PartitionPredicate (string) --
Partitions satisfying this predicate are deleted. Files within the retention period in these partitions are not deleted. Set to "" – empty by default.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
MicrosoftSQLServerCatalogSource (dict) --
Specifies a Microsoft SQL server data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
MySQLCatalogSource (dict) --
Specifies a MySQL data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
OracleSQLCatalogSource (dict) --
Specifies an Oracle data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
PostgreSQLCatalogSource (dict) --
Specifies a PostgresSQL data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
MicrosoftSQLServerCatalogTarget (dict) --
Specifies a target that uses Microsoft SQL.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
MySQLCatalogTarget (dict) --
Specifies a target that uses MySQL.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
OracleSQLCatalogTarget (dict) --
Specifies a target that uses Oracle SQL.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
PostgreSQLCatalogTarget (dict) --
Specifies a target that uses Postgres SQL.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
ExecutionClass (string) --
Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.
The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.
Only jobs with Glue version 3.0 and above and command type glueetl will be allowed to set ExecutionClass to FLEX . The flexible execution class is available for Spark jobs.
SourceControlDetails (dict) --
The details for a source control configuration for a job, allowing synchronization of job artifacts to or from a remote repository.
Provider (string) --
The provider for the remote repository.
Repository (string) --
The name of the remote repository that contains the job artifacts.
Owner (string) --
The owner of the remote repository that contains the job artifacts.
Branch (string) --
An optional branch in the remote repository.
Folder (string) --
An optional folder in the remote repository.
LastCommitId (string) --
The last commit ID for a commit in the remote repository.
AuthStrategy (string) --
The type of authentication, which can be an authentication token stored in Amazon Web Services Secrets Manager, or a personal access token.
AuthToken (string) --
The value of an authorization token.
{'Jobs': {'SourceControlDetails': {'AuthStrategy': 'PERSONAL_ACCESS_TOKEN | '
'AWS_SECRETS_MANAGER',
'AuthToken': 'string',
'Branch': 'string',
'Folder': 'string',
'LastCommitId': 'string',
'Owner': 'string',
'Provider': 'GITHUB | AWS_CODE_COMMIT',
'Repository': 'string'}}}
Retrieves all current job definitions.
See also: AWS API Documentation
Request Syntax
client.get_jobs(
NextToken='string',
MaxResults=123
)
string
A continuation token, if this is a continuation call.
integer
The maximum size of the response.
dict
Response Syntax
{
'Jobs': [
{
'Name': 'string',
'Description': 'string',
'LogUri': 'string',
'Role': 'string',
'CreatedOn': datetime(2015, 1, 1),
'LastModifiedOn': datetime(2015, 1, 1),
'ExecutionProperty': {
'MaxConcurrentRuns': 123
},
'Command': {
'Name': 'string',
'ScriptLocation': 'string',
'PythonVersion': 'string'
},
'DefaultArguments': {
'string': 'string'
},
'NonOverridableArguments': {
'string': 'string'
},
'Connections': {
'Connections': [
'string',
]
},
'MaxRetries': 123,
'AllocatedCapacity': 123,
'Timeout': 123,
'MaxCapacity': 123.0,
'WorkerType': 'Standard'|'G.1X'|'G.2X'|'G.025X',
'NumberOfWorkers': 123,
'SecurityConfiguration': 'string',
'NotificationProperty': {
'NotifyDelayAfter': 123
},
'GlueVersion': 'string',
'CodeGenConfigurationNodes': {
'string': {
'AthenaConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'ConnectionTable': 'string',
'SchemaName': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'JDBCConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'FilterPredicate': 'string',
'PartitionColumn': 'string',
'LowerBound': 123,
'UpperBound': 123,
'NumPartitions': 123,
'JobBookmarkKeys': [
'string',
],
'JobBookmarkKeysSortOrder': 'string',
'DataTypeMapping': {
'string': 'DATE'|'STRING'|'TIMESTAMP'|'INT'|'FLOAT'|'LONG'|'BIGDECIMAL'|'BYTE'|'SHORT'|'DOUBLE'
}
},
'ConnectionTable': 'string',
'Query': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'CatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'RedshiftSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'RedshiftTmpDir': 'string',
'TmpDirIAMRole': 'string'
},
'S3CatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'PartitionPredicate': 'string',
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123
}
},
'S3CsvSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'gzip'|'bzip2',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'Separator': 'comma'|'ctrla'|'pipe'|'semicolon'|'tab',
'Escaper': 'string',
'QuoteChar': 'quote'|'quillemet'|'single_quote'|'disabled',
'Multiline': True|False,
'WithHeader': True|False,
'WriteHeader': True|False,
'SkipFirst': True|False,
'OptimizePerformance': True|False,
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'S3JsonSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'gzip'|'bzip2',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'JsonPath': 'string',
'Multiline': True|False,
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'S3ParquetSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'snappy'|'lzo'|'gzip'|'uncompressed'|'none',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'RelationalCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'DynamoDBCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'JDBCConnectorTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'ConnectionName': 'string',
'ConnectionTable': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkConnectorTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'CatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'RedshiftTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string',
'RedshiftTmpDir': 'string',
'TmpDirIAMRole': 'string',
'UpsertRedshiftOptions': {
'TableLocation': 'string',
'ConnectionName': 'string',
'UpsertKeys': [
'string',
]
}
},
'S3CatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Table': 'string',
'Database': 'string',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG'
}
},
'S3GlueParquetTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Path': 'string',
'Compression': 'snappy'|'lzo'|'gzip'|'uncompressed'|'none',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG',
'Table': 'string',
'Database': 'string'
}
},
'S3DirectTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Path': 'string',
'Compression': 'string',
'Format': 'json'|'csv'|'avro'|'orc'|'parquet',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG',
'Table': 'string',
'Database': 'string'
}
},
'ApplyMapping': {
'Name': 'string',
'Inputs': [
'string',
],
'Mapping': [
{
'ToKey': 'string',
'FromPath': [
'string',
],
'FromType': 'string',
'ToType': 'string',
'Dropped': True|False,
'Children': {'... recursive ...'}
},
]
},
'SelectFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'DropFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'RenameField': {
'Name': 'string',
'Inputs': [
'string',
],
'SourcePath': [
'string',
],
'TargetPath': [
'string',
]
},
'Spigot': {
'Name': 'string',
'Inputs': [
'string',
],
'Path': 'string',
'Topk': 123,
'Prob': 123.0
},
'Join': {
'Name': 'string',
'Inputs': [
'string',
],
'JoinType': 'equijoin'|'left'|'right'|'outer'|'leftsemi'|'leftanti',
'Columns': [
{
'From': 'string',
'Keys': [
[
'string',
],
]
},
]
},
'SplitFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'SelectFromCollection': {
'Name': 'string',
'Inputs': [
'string',
],
'Index': 123
},
'FillMissingValues': {
'Name': 'string',
'Inputs': [
'string',
],
'ImputedPath': 'string',
'FilledPath': 'string'
},
'Filter': {
'Name': 'string',
'Inputs': [
'string',
],
'LogicalOperator': 'AND'|'OR',
'Filters': [
{
'Operation': 'EQ'|'LT'|'GT'|'LTE'|'GTE'|'REGEX'|'ISNULL',
'Negated': True|False,
'Values': [
{
'Type': 'COLUMNEXTRACTED'|'CONSTANT',
'Value': [
'string',
]
},
]
},
]
},
'CustomCode': {
'Name': 'string',
'Inputs': [
'string',
],
'Code': 'string',
'ClassName': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkSQL': {
'Name': 'string',
'Inputs': [
'string',
],
'SqlQuery': 'string',
'SqlAliases': [
{
'From': 'string',
'Alias': 'string'
},
],
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'DirectKinesisSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'StreamingOptions': {
'EndpointUrl': 'string',
'StreamName': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingPosition': 'latest'|'trim_horizon'|'earliest',
'MaxFetchTimeInMs': 123,
'MaxFetchRecordsPerShard': 123,
'MaxRecordPerRead': 123,
'AddIdleTimeBetweenReads': True|False,
'IdleTimeBetweenReadsInMs': 123,
'DescribeShardInterval': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxRetryIntervalMs': 123,
'AvoidEmptyBatches': True|False,
'StreamArn': 'string',
'RoleArn': 'string',
'RoleSessionName': 'string'
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'DirectKafkaSource': {
'Name': 'string',
'StreamingOptions': {
'BootstrapServers': 'string',
'SecurityProtocol': 'string',
'ConnectionName': 'string',
'TopicName': 'string',
'Assign': 'string',
'SubscribePattern': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingOffsets': 'string',
'EndingOffsets': 'string',
'PollTimeoutMs': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxOffsetsPerTrigger': 123,
'MinPartitions': 123
},
'WindowSize': 123,
'DetectSchema': True|False,
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'CatalogKinesisSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'Table': 'string',
'Database': 'string',
'StreamingOptions': {
'EndpointUrl': 'string',
'StreamName': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingPosition': 'latest'|'trim_horizon'|'earliest',
'MaxFetchTimeInMs': 123,
'MaxFetchRecordsPerShard': 123,
'MaxRecordPerRead': 123,
'AddIdleTimeBetweenReads': True|False,
'IdleTimeBetweenReadsInMs': 123,
'DescribeShardInterval': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxRetryIntervalMs': 123,
'AvoidEmptyBatches': True|False,
'StreamArn': 'string',
'RoleArn': 'string',
'RoleSessionName': 'string'
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'CatalogKafkaSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'Table': 'string',
'Database': 'string',
'StreamingOptions': {
'BootstrapServers': 'string',
'SecurityProtocol': 'string',
'ConnectionName': 'string',
'TopicName': 'string',
'Assign': 'string',
'SubscribePattern': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingOffsets': 'string',
'EndingOffsets': 'string',
'PollTimeoutMs': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxOffsetsPerTrigger': 123,
'MinPartitions': 123
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'DropNullFields': {
'Name': 'string',
'Inputs': [
'string',
],
'NullCheckBoxList': {
'IsEmpty': True|False,
'IsNullString': True|False,
'IsNegOne': True|False
},
'NullTextList': [
{
'Value': 'string',
'Datatype': {
'Id': 'string',
'Label': 'string'
}
},
]
},
'Merge': {
'Name': 'string',
'Inputs': [
'string',
],
'Source': 'string',
'PrimaryKeys': [
[
'string',
],
]
},
'Union': {
'Name': 'string',
'Inputs': [
'string',
],
'UnionType': 'ALL'|'DISTINCT'
},
'PIIDetection': {
'Name': 'string',
'Inputs': [
'string',
],
'PiiType': 'RowAudit'|'RowMasking'|'ColumnAudit'|'ColumnMasking',
'EntityTypesToDetect': [
'string',
],
'OutputColumnName': 'string',
'SampleFraction': 123.0,
'ThresholdFraction': 123.0,
'MaskValue': 'string'
},
'Aggregate': {
'Name': 'string',
'Inputs': [
'string',
],
'Groups': [
[
'string',
],
],
'Aggs': [
{
'Column': [
'string',
],
'AggFunc': 'avg'|'countDistinct'|'count'|'first'|'last'|'kurtosis'|'max'|'min'|'skewness'|'stddev_samp'|'stddev_pop'|'sum'|'sumDistinct'|'var_samp'|'var_pop'
},
]
},
'DropDuplicates': {
'Name': 'string',
'Inputs': [
'string',
],
'Columns': [
[
'string',
],
]
},
'GovernedCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Table': 'string',
'Database': 'string',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG'
}
},
'GovernedCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'PartitionPredicate': 'string',
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123
}
},
'MicrosoftSQLServerCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'MySQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'OracleSQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'PostgreSQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'MicrosoftSQLServerCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'MySQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'OracleSQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'PostgreSQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
}
}
},
'ExecutionClass': 'FLEX'|'STANDARD',
'SourceControlDetails': {
'Provider': 'GITHUB'|'AWS_CODE_COMMIT',
'Repository': 'string',
'Owner': 'string',
'Branch': 'string',
'Folder': 'string',
'LastCommitId': 'string',
'AuthStrategy': 'PERSONAL_ACCESS_TOKEN'|'AWS_SECRETS_MANAGER',
'AuthToken': 'string'
}
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
Jobs (list) --
A list of job definitions.
(dict) --
Specifies a job definition.
Name (string) --
The name you assign to this job definition.
Description (string) --
A description of the job.
LogUri (string) --
This field is reserved for future use.
Role (string) --
The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
CreatedOn (datetime) --
The time and date that this job definition was created.
LastModifiedOn (datetime) --
The last point in time when this job definition was modified.
ExecutionProperty (dict) --
An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.
MaxConcurrentRuns (integer) --
The maximum number of concurrent runs allowed for the job. The default is 1. An error is returned when this threshold is reached. The maximum value you can specify is controlled by a service limit.
Command (dict) --
The JobCommand that runs this job.
Name (string) --
The name of the job command. For an Apache Spark ETL job, this must be glueetl . For a Python shell job, it must be pythonshell . For an Apache Spark streaming ETL job, this must be gluestreaming .
ScriptLocation (string) --
Specifies the Amazon Simple Storage Service (Amazon S3) path to a script that runs a job.
PythonVersion (string) --
The Python version being used to run a Python shell job. Allowed values are 2 or 3.
DefaultArguments (dict) --
The default arguments for this job, specified as name-value pairs.
You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.
For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
For information about the key-value pairs that Glue consumes to set up your job, see the Special Parameters Used by Glue topic in the developer guide.
(string) --
(string) --
NonOverridableArguments (dict) --
Non-overridable arguments for this job, specified as name-value pairs.
(string) --
(string) --
Connections (dict) --
The connections used for this job.
Connections (list) --
A list of connections used by the job.
(string) --
MaxRetries (integer) --
The maximum number of times to retry this job after a JobRun fails.
AllocatedCapacity (integer) --
This field is deprecated. Use MaxCapacity instead.
The number of Glue data processing units (DPUs) allocated to runs of this job. You can allocate a minimum of 2 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page .
Timeout (integer) --
The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
MaxCapacity (float) --
For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page .
Do not set Max Capacity if using WorkerType and NumberOfWorkers .
The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:
When you specify a Python shell job (JobCommand.Name ="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
When you specify an Apache Spark ETL job (JobCommand.Name ="glueetl") or Apache Spark streaming ETL job (JobCommand.Name ="gluestreaming"), you can allocate a minimum of 2 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
For Glue version 2.0 jobs, you cannot instead specify a Maximum capacity . Instead, you should specify a Worker type and the Number of workers .
WorkerType (string) --
The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X.
For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.
NumberOfWorkers (integer) --
The number of workers of a defined workerType that are allocated when a job runs.
SecurityConfiguration (string) --
The name of the SecurityConfiguration structure to be used with this job.
NotificationProperty (dict) --
Specifies configuration properties of a job notification.
NotifyDelayAfter (integer) --
After a job run starts, the number of minutes to wait before sending a job run delay notification.
GlueVersion (string) --
Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for jobs of type Spark.
For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.
Jobs that are created without specifying a Glue version default to Glue 0.9.
CodeGenConfigurationNodes (dict) --
The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
(string) --
(dict) --
CodeGenConfigurationNode enumerates all valid Node types. One and only one of its member variables can be populated.
AthenaConnectorSource (dict) --
Specifies a connector to an Amazon Athena data source.
Name (string) --
The name of the data source.
ConnectionName (string) --
The name of the connection that is associated with the connector.
ConnectorName (string) --
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) --
The type of connection, such as marketplace.athena or custom.athena, designating a connection to an Amazon Athena data store.
ConnectionTable (string) --
The name of the table in the data source.
SchemaName (string) --
The name of the Cloudwatch log group to read from. For example, /aws-glue/jobs/output .
OutputSchemas (list) --
Specifies the data schema for the custom Athena source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
JDBCConnectorSource (dict) --
Specifies a connector to a JDBC data source.
Name (string) --
The name of the data source.
ConnectionName (string) --
The name of the connection that is associated with the connector.
ConnectorName (string) --
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) --
The type of connection, such as marketplace.jdbc or custom.jdbc, designating a connection to a JDBC data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
FilterPredicate (string) --
Extra condition clause to filter data from source. For example:
BillingCity='Mountain View'
When using a query instead of a table name, you should validate that the query works with the specified filterPredicate .
PartitionColumn (string) --
The name of an integer column that is used for partitioning. This option works only when it's included with lowerBound , upperBound , and numPartitions . This option works the same way as in the Spark SQL JDBC reader.
LowerBound (integer) --
The minimum value of partitionColumn that is used to decide partition stride.
UpperBound (integer) --
The maximum value of partitionColumn that is used to decide partition stride.
NumPartitions (integer) --
The number of partitions. This value, along with lowerBound (inclusive) and upperBound (exclusive), form partition strides for generated WHERE clause expressions that are used to split the partitionColumn .
JobBookmarkKeys (list) --
The name of the job bookmark keys on which to sort.
(string) --
JobBookmarkKeysSortOrder (string) --
Specifies an ascending or descending sort order.
DataTypeMapping (dict) --
Custom data type mapping that builds a mapping from a JDBC data type to an Glue data type. For example, the option "dataTypeMapping":{"FLOAT":"STRING"} maps data fields of JDBC type FLOAT into the Java String type by calling the ResultSet.getString() method of the driver, and uses it to build the Glue record. The ResultSet object is implemented by each driver, so the behavior is specific to the driver you use. Refer to the documentation for your JDBC driver to understand how the driver performs the conversions.
(string) --
(string) --
ConnectionTable (string) --
The name of the table in the data source.
Query (string) --
The table or SQL query to get the data from. You can specify either ConnectionTable or query , but not both.
OutputSchemas (list) --
Specifies the data schema for the custom JDBC source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkConnectorSource (dict) --
Specifies a connector to an Apache Spark data source.
Name (string) --
The name of the data source.
ConnectionName (string) --
The name of the connection that is associated with the connector.
ConnectorName (string) --
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) --
The type of connection, such as marketplace.spark or custom.spark, designating a connection to an Apache Spark data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies data schema for the custom spark source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
CatalogSource (dict) --
Specifies a data store in the Glue Data Catalog.
Name (string) --
The name of the data store.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
RedshiftSource (dict) --
Specifies an Amazon Redshift data store.
Name (string) --
The name of the Amazon Redshift data store.
Database (string) --
The database to read from.
Table (string) --
The database table to read from.
RedshiftTmpDir (string) --
The Amazon S3 path where temporary data can be staged when copying out of the database.
TmpDirIAMRole (string) --
The IAM role with permissions.
S3CatalogSource (dict) --
Specifies an Amazon S3 data store in the Glue Data Catalog.
Name (string) --
The name of the data store.
Database (string) --
The database to read from.
Table (string) --
The database table to read from.
PartitionPredicate (string) --
Partitions satisfying this predicate are deleted. Files within the retention period in these partitions are not deleted. Set to "" – empty by default.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
S3CsvSource (dict) --
Specifies a command-separated value (CSV) data store stored in Amazon S3.
Name (string) --
The name of the data store.
Paths (list) --
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
Separator (string) --
Specifies the delimiter character. The default is a comma: ",", but any other character can be specified.
Escaper (string) --
Specifies a character to use for escaping. This option is used only when reading CSV files. The default value is none . If enabled, the character which immediately follows is used as-is, except for a small set of well-known escapes (\n , \r , \t , and \0 ).
QuoteChar (string) --
Specifies the character to use for quoting. The default is a double quote: '"' . Set this to -1 to turn off quoting entirely.
Multiline (boolean) --
A Boolean value that specifies whether a single record can span multiple lines. This can occur when a field contains a quoted new-line character. You must set this option to True if any record spans multiple lines. The default value is False , which allows for more aggressive file-splitting during parsing.
WithHeader (boolean) --
A Boolean value that specifies whether to treat the first line as a header. The default value is False .
WriteHeader (boolean) --
A Boolean value that specifies whether to write the header to output. The default value is True .
SkipFirst (boolean) --
A Boolean value that specifies whether to skip the first data line. The default value is False .
OptimizePerformance (boolean) --
A Boolean value that specifies whether to use the advanced SIMD CSV reader along with Apache Arrow based columnar memory formats. Only available in Glue version 3.0.
OutputSchemas (list) --
Specifies the data schema for the S3 CSV source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
S3JsonSource (dict) --
Specifies a JSON data store stored in Amazon S3.
Name (string) --
The name of the data store.
Paths (list) --
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
JsonPath (string) --
A JsonPath string defining the JSON data.
Multiline (boolean) --
A Boolean value that specifies whether a single record can span multiple lines. This can occur when a field contains a quoted new-line character. You must set this option to True if any record spans multiple lines. The default value is False , which allows for more aggressive file-splitting during parsing.
OutputSchemas (list) --
Specifies the data schema for the S3 JSON source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
S3ParquetSource (dict) --
Specifies an Apache Parquet data store stored in Amazon S3.
Name (string) --
The name of the data store.
Paths (list) --
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
OutputSchemas (list) --
Specifies the data schema for the S3 Parquet source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
RelationalCatalogSource (dict) --
Specifies a Relational database data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
DynamoDBCatalogSource (dict) --
Specifies a DynamoDB data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
JDBCConnectorTarget (dict) --
Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
ConnectionName (string) --
The name of the connection that is associated with the connector.
ConnectionTable (string) --
The name of the table in the data target.
ConnectorName (string) --
The name of a connector that will be used.
ConnectionType (string) --
The type of connection, such as marketplace.jdbc or custom.jdbc, designating a connection to a JDBC data target.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies the data schema for the JDBC target.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkConnectorTarget (dict) --
Specifies a target that uses an Apache Spark connector.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
ConnectionName (string) --
The name of a connection for an Apache Spark connector.
ConnectorName (string) --
The name of an Apache Spark connector.
ConnectionType (string) --
The type of connection, such as marketplace.spark or custom.spark, designating a connection to an Apache Spark data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies the data schema for the custom spark target.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
CatalogTarget (dict) --
Specifies a target that uses a Glue Data Catalog table.
Name (string) --
The name of your data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The database that contains the table you want to use as the target. This database must already exist in the Data Catalog.
Table (string) --
The table that defines the schema of your output data. This table must already exist in the Data Catalog.
RedshiftTarget (dict) --
Specifies a target that uses Amazon Redshift.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
RedshiftTmpDir (string) --
The Amazon S3 path where temporary data can be staged when copying out of the database.
TmpDirIAMRole (string) --
The IAM role with permissions.
UpsertRedshiftOptions (dict) --
The set of options to configure an upsert operation when writing to a Redshift target.
TableLocation (string) --
The physical location of the Redshift table.
ConnectionName (string) --
The name of the connection to use to write to Redshift.
UpsertKeys (list) --
The keys used to determine whether to perform an update or insert.
(string) --
S3CatalogTarget (dict) --
Specifies a data target that writes to Amazon S3 using the Glue Data Catalog.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Table (string) --
The name of the table in the database to write to.
Database (string) --
The name of the database to write to.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
S3GlueParquetTarget (dict) --
Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Path (string) --
A single Amazon S3 path to write to.
Compression (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
Table (string) --
Specifies the table in the database that the schema change policy applies to.
Database (string) --
Specifies the database that the schema change policy applies to.
S3DirectTarget (dict) --
Specifies a data target that writes to Amazon S3.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Path (string) --
A single Amazon S3 path to write to.
Compression (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Format (string) --
Specifies the data output format for the target.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
Table (string) --
Specifies the table in the database that the schema change policy applies to.
Database (string) --
Specifies the database that the schema change policy applies to.
ApplyMapping (dict) --
Specifies a transform that maps data property keys in the data source to data property keys in the data target. You can rename keys, modify the data types for keys, and choose which keys to drop from the dataset.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Mapping (list) --
Specifies the mapping of data property keys in the data source to data property keys in the data target.
(dict) --
Specifies the mapping of data property keys.
ToKey (string) --
After the apply mapping, what the name of the column should be. Can be the same as FromPath .
FromPath (list) --
The table or column to be modified.
(string) --
FromType (string) --
The type of the data to be modified.
ToType (string) --
The data type that the data is to be modified to.
Dropped (boolean) --
If true, then the column is removed.
Children (list) --
Only applicable to nested data structures. If you want to change the parent structure, but also one of its children, you can fill out this data strucutre. It is also Mapping , but its FromPath will be the parent's FromPath plus the FromPath from this structure.
For the children part, suppose you have the structure:
{ "FromPath": "OuterStructure", "ToKey": "OuterStructure", "ToType": "Struct", "Dropped": false, "Chidlren": [{ "FromPath": "inner", "ToKey": "inner", "ToType": "Double", "Dropped": false, }] }
You can specify a Mapping that looks like:
{ "FromPath": "OuterStructure", "ToKey": "OuterStructure", "ToType": "Struct", "Dropped": false, "Chidlren": [{ "FromPath": "inner", "ToKey": "inner", "ToType": "Double", "Dropped": false, }] }
SelectFields (dict) --
Specifies a transform that chooses the data property keys that you want to keep.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Paths (list) --
A JSON path to a variable in the data structure.
(list) --
(string) --
DropFields (dict) --
Specifies a transform that chooses the data property keys that you want to drop.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Paths (list) --
A JSON path to a variable in the data structure.
(list) --
(string) --
RenameField (dict) --
Specifies a transform that renames a single data property key.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
SourcePath (list) --
A JSON path to a variable in the data structure for the source data.
(string) --
TargetPath (list) --
A JSON path to a variable in the data structure for the target data.
(string) --
Spigot (dict) --
Specifies a transform that writes samples of the data to an Amazon S3 bucket.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Path (string) --
A path in Amazon S3 where the transform will write a subset of records from the dataset to a JSON file in an Amazon S3 bucket.
Topk (integer) --
Specifies a number of records to write starting from the beginning of the dataset.
Prob (float) --
The probability (a decimal value with a maximum value of 1) of picking any given record. A value of 1 indicates that each row read from the dataset should be included in the sample output.
Join (dict) --
Specifies a transform that joins two datasets into one dataset using a comparison phrase on the specified data property keys. You can use inner, outer, left, right, left semi, and left anti joins.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
JoinType (string) --
Specifies the type of join to be performed on the datasets.
Columns (list) --
A list of the two columns to be joined.
(dict) --
Specifies a column to be joined.
From (string) --
The column to be joined.
Keys (list) --
The key of the column to be joined.
(list) --
(string) --
SplitFields (dict) --
Specifies a transform that splits data property keys into two DynamicFrames . The output is a collection of DynamicFrames : one with selected data property keys, and one with the remaining data property keys.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Paths (list) --
A JSON path to a variable in the data structure.
(list) --
(string) --
SelectFromCollection (dict) --
Specifies a transform that chooses one DynamicFrame from a collection of DynamicFrames . The output is the selected DynamicFrame
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Index (integer) --
The index for the DynamicFrame to be selected.
FillMissingValues (dict) --
Specifies a transform that locates records in the dataset that have missing values and adds a new field with a value determined by imputation. The input data set is used to train the machine learning model that determines what the missing value should be.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
ImputedPath (string) --
A JSON path to a variable in the data structure for the dataset that is imputed.
FilledPath (string) --
A JSON path to a variable in the data structure for the dataset that is filled.
Filter (dict) --
Specifies a transform that splits a dataset into two, based on a filter condition.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
LogicalOperator (string) --
The operator used to filter rows by comparing the key value to a specified value.
Filters (list) --
Specifies a filter expression.
(dict) --
Specifies a filter expression.
Operation (string) --
The type of operation to perform in the expression.
Negated (boolean) --
Whether the expression is to be negated.
Values (list) --
A list of filter values.
(dict) --
Represents a single entry in the list of values for a FilterExpression .
Type (string) --
The type of filter value.
Value (list) --
The value to be associated.
(string) --
CustomCode (dict) --
Specifies a transform that uses custom code you provide to perform the data transformation. The output is a collection of DynamicFrames.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Code (string) --
The custom code that is used to perform the data transformation.
ClassName (string) --
The name defined for the custom code node class.
OutputSchemas (list) --
Specifies the data schema for the custom code transform.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkSQL (dict) --
Specifies a transform where you enter a SQL query using Spark SQL syntax to transform the data. The output is a single DynamicFrame .
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.
(string) --
SqlQuery (string) --
A SQL query that must use Spark SQL syntax and return a single data set.
SqlAliases (list) --
A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:
select * from SqlName
and that gets data from MyDataSource.
(dict) --
Represents a single entry in the list of values for SqlAliases .
From (string) --
A table, or a column in a table.
Alias (string) --
A temporary name given to a table, or a column in a table.
OutputSchemas (list) --
Specifies the data schema for the SparkSQL transform.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) --
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
DirectKinesisSource (dict) --
Specifies a direct Amazon Kinesis data source.
Name (string) --
The name of the data source.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
StreamingOptions (dict) --
Additional options for the Kinesis streaming data source.
EndpointUrl (string) --
The URL of the Kinesis endpoint.
StreamName (string) --
The name of the Kinesis data stream.
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingPosition (string) --
The starting position in the Kinesis data stream to read data from. The possible values are "latest" , "trim_horizon" , or "earliest" . The default value is "latest" .
MaxFetchTimeInMs (integer) --
The maximum time spent in the job executor to fetch a record from the Kinesis data stream per shard, specified in milliseconds (ms). The default value is 1000 .
MaxFetchRecordsPerShard (integer) --
The maximum number of records to fetch per shard in the Kinesis data stream. The default value is 100000 .
MaxRecordPerRead (integer) --
The maximum number of records to fetch from the Kinesis data stream in each getRecords operation. The default value is 10000 .
AddIdleTimeBetweenReads (boolean) --
Adds a time delay between two consecutive getRecords operations. The default value is "False" . This option is only configurable for Glue version 2.0 and above.
IdleTimeBetweenReadsInMs (integer) --
The minimum time delay between two consecutive getRecords operations, specified in ms. The default value is 1000 . This option is only configurable for Glue version 2.0 and above.
DescribeShardInterval (integer) --
The minimum time interval between two ListShards API calls for your script to consider resharding. The default value is 1s .
NumRetries (integer) --
The maximum number of retries for Kinesis Data Streams API requests. The default value is 3 .
RetryIntervalMs (integer) --
The cool-off time period (specified in ms) before retrying the Kinesis Data Streams API call. The default value is 1000 .
MaxRetryIntervalMs (integer) --
The maximum cool-off time period (specified in ms) between two retries of a Kinesis Data Streams API call. The default value is 10000 .
AvoidEmptyBatches (boolean) --
Avoids creating an empty microbatch job by checking for unread data in the Kinesis data stream before the batch is started. The default value is "False" .
StreamArn (string) --
The Amazon Resource Name (ARN) of the Kinesis data stream.
RoleArn (string) --
The Amazon Resource Name (ARN) of the role to assume using AWS Security Token Service (AWS STS). This role must have permissions for describe or read record operations for the Kinesis data stream. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSSessionName" .
RoleSessionName (string) --
An identifier for the session assuming the role using AWS STS. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSRoleARN" .
DataPreviewOptions (dict) --
Additional options for data preview.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
DirectKafkaSource (dict) --
Specifies an Apache Kafka data store.
Name (string) --
The name of the data store.
StreamingOptions (dict) --
Specifies the streaming options.
BootstrapServers (string) --
A list of bootstrap server URLs, for example, as b-1.vpc-test-2.o4q88o.c6.kafka.us-east-1.amazonaws.com:9094 . This option must be specified in the API call or defined in the table metadata in the Data Catalog.
SecurityProtocol (string) --
The protocol used to communicate with brokers. The possible values are "SSL" or "PLAINTEXT" .
ConnectionName (string) --
The name of the connection.
TopicName (string) --
The topic name as specified in Apache Kafka. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Assign (string) --
The specific TopicPartitions to consume. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
SubscribePattern (string) --
A Java regex string that identifies the topic list to subscribe to. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingOffsets (string) --
The starting position in the Kafka topic to read data from. The possible values are "earliest" or "latest" . The default value is "latest" .
EndingOffsets (string) --
The end point when a batch query is ended. Possible values are either "latest" or a JSON string that specifies an ending offset for each TopicPartition .
PollTimeoutMs (integer) --
The timeout in milliseconds to poll data from Kafka in Spark job executors. The default value is 512 .
NumRetries (integer) --
The number of times to retry before failing to fetch Kafka offsets. The default value is 3 .
RetryIntervalMs (integer) --
The time in milliseconds to wait before retrying to fetch Kafka offsets. The default value is 10 .
MaxOffsetsPerTrigger (integer) --
The rate limit on the maximum number of offsets that are processed per trigger interval. The specified total number of offsets is proportionally split across topicPartitions of different volumes. The default value is null, which means that the consumer reads all offsets until the known latest offset.
MinPartitions (integer) --
The desired minimum number of partitions to read from Kafka. The default value is null, which means that the number of spark partitions is equal to the number of Kafka partitions.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
DataPreviewOptions (dict) --
Specifies options related to data preview for viewing a sample of your data.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
CatalogKinesisSource (dict) --
Specifies a Kinesis data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
Table (string) --
The name of the table in the database to read from.
Database (string) --
The name of the database to read from.
StreamingOptions (dict) --
Additional options for the Kinesis streaming data source.
EndpointUrl (string) --
The URL of the Kinesis endpoint.
StreamName (string) --
The name of the Kinesis data stream.
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingPosition (string) --
The starting position in the Kinesis data stream to read data from. The possible values are "latest" , "trim_horizon" , or "earliest" . The default value is "latest" .
MaxFetchTimeInMs (integer) --
The maximum time spent in the job executor to fetch a record from the Kinesis data stream per shard, specified in milliseconds (ms). The default value is 1000 .
MaxFetchRecordsPerShard (integer) --
The maximum number of records to fetch per shard in the Kinesis data stream. The default value is 100000 .
MaxRecordPerRead (integer) --
The maximum number of records to fetch from the Kinesis data stream in each getRecords operation. The default value is 10000 .
AddIdleTimeBetweenReads (boolean) --
Adds a time delay between two consecutive getRecords operations. The default value is "False" . This option is only configurable for Glue version 2.0 and above.
IdleTimeBetweenReadsInMs (integer) --
The minimum time delay between two consecutive getRecords operations, specified in ms. The default value is 1000 . This option is only configurable for Glue version 2.0 and above.
DescribeShardInterval (integer) --
The minimum time interval between two ListShards API calls for your script to consider resharding. The default value is 1s .
NumRetries (integer) --
The maximum number of retries for Kinesis Data Streams API requests. The default value is 3 .
RetryIntervalMs (integer) --
The cool-off time period (specified in ms) before retrying the Kinesis Data Streams API call. The default value is 1000 .
MaxRetryIntervalMs (integer) --
The maximum cool-off time period (specified in ms) between two retries of a Kinesis Data Streams API call. The default value is 10000 .
AvoidEmptyBatches (boolean) --
Avoids creating an empty microbatch job by checking for unread data in the Kinesis data stream before the batch is started. The default value is "False" .
StreamArn (string) --
The Amazon Resource Name (ARN) of the Kinesis data stream.
RoleArn (string) --
The Amazon Resource Name (ARN) of the role to assume using AWS Security Token Service (AWS STS). This role must have permissions for describe or read record operations for the Kinesis data stream. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSSessionName" .
RoleSessionName (string) --
An identifier for the session assuming the role using AWS STS. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSRoleARN" .
DataPreviewOptions (dict) --
Additional options for data preview.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
CatalogKafkaSource (dict) --
Specifies an Apache Kafka data store in the Data Catalog.
Name (string) --
The name of the data store.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
Table (string) --
The name of the table in the database to read from.
Database (string) --
The name of the database to read from.
StreamingOptions (dict) --
Specifies the streaming options.
BootstrapServers (string) --
A list of bootstrap server URLs, for example, as b-1.vpc-test-2.o4q88o.c6.kafka.us-east-1.amazonaws.com:9094 . This option must be specified in the API call or defined in the table metadata in the Data Catalog.
SecurityProtocol (string) --
The protocol used to communicate with brokers. The possible values are "SSL" or "PLAINTEXT" .
ConnectionName (string) --
The name of the connection.
TopicName (string) --
The topic name as specified in Apache Kafka. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Assign (string) --
The specific TopicPartitions to consume. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
SubscribePattern (string) --
A Java regex string that identifies the topic list to subscribe to. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingOffsets (string) --
The starting position in the Kafka topic to read data from. The possible values are "earliest" or "latest" . The default value is "latest" .
EndingOffsets (string) --
The end point when a batch query is ended. Possible values are either "latest" or a JSON string that specifies an ending offset for each TopicPartition .
PollTimeoutMs (integer) --
The timeout in milliseconds to poll data from Kafka in Spark job executors. The default value is 512 .
NumRetries (integer) --
The number of times to retry before failing to fetch Kafka offsets. The default value is 3 .
RetryIntervalMs (integer) --
The time in milliseconds to wait before retrying to fetch Kafka offsets. The default value is 10 .
MaxOffsetsPerTrigger (integer) --
The rate limit on the maximum number of offsets that are processed per trigger interval. The specified total number of offsets is proportionally split across topicPartitions of different volumes. The default value is null, which means that the consumer reads all offsets until the known latest offset.
MinPartitions (integer) --
The desired minimum number of partitions to read from Kafka. The default value is null, which means that the number of spark partitions is equal to the number of Kafka partitions.
DataPreviewOptions (dict) --
Specifies options related to data preview for viewing a sample of your data.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
DropNullFields (dict) --
Specifies a transform that removes columns from the dataset if all values in the column are 'null'. By default, Glue Studio will recognize null objects, but some values such as empty strings, strings that are "null", -1 integers or other placeholders such as zeros, are not automatically recognized as nulls.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
NullCheckBoxList (dict) --
A structure that represents whether certain values are recognized as null values for removal.
IsEmpty (boolean) --
Specifies that an empty string is considered as a null value.
IsNullString (boolean) --
Specifies that a value spelling out the word 'null' is considered as a null value.
IsNegOne (boolean) --
Specifies that an integer value of -1 is considered as a null value.
NullTextList (list) --
A structure that specifies a list of NullValueField structures that represent a custom null value such as zero or other value being used as a null placeholder unique to the dataset.
The DropNullFields transform removes custom null values only if both the value of the null placeholder and the datatype match the data.
(dict) --
Represents a custom null value such as a zeros or other value being used as a null placeholder unique to the dataset.
Value (string) --
The value of the null placeholder.
Datatype (dict) --
The datatype of the value.
Id (string) --
The datatype of the value.
Label (string) --
A label assigned to the datatype.
Merge (dict) --
Specifies a transform that merges a DynamicFrame with a staging DynamicFrame based on the specified primary keys to identify records. Duplicate records (records with the same primary keys) are not de-duplicated.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Source (string) --
The source DynamicFrame that will be merged with a staging DynamicFrame .
PrimaryKeys (list) --
The list of primary key fields to match records from the source and staging dynamic frames.
(list) --
(string) --
Union (dict) --
Specifies a transform that combines the rows from two or more datasets into a single result.
Name (string) --
The name of the transform node.
Inputs (list) --
The node ID inputs to the transform.
(string) --
UnionType (string) --
Indicates the type of Union transform.
Specify ALL to join all rows from data sources to the resulting DynamicFrame. The resulting union does not remove duplicate rows.
Specify DISTINCT to remove duplicate rows in the resulting DynamicFrame.
PIIDetection (dict) --
Specifies a transform that identifies, removes or masks PII data.
Name (string) --
The name of the transform node.
Inputs (list) --
The node ID inputs to the transform.
(string) --
PiiType (string) --
Indicates the type of PIIDetection transform.
EntityTypesToDetect (list) --
Indicates the types of entities the PIIDetection transform will identify as PII data.
PII type entities include: PERSON_NAME, DATE, USA_SNN, EMAIL, USA_ITIN, USA_PASSPORT_NUMBER, PHONE_NUMBER, BANK_ACCOUNT, IP_ADDRESS, MAC_ADDRESS, USA_CPT_CODE, USA_HCPCS_CODE, USA_NATIONAL_DRUG_CODE, USA_MEDICARE_BENEFICIARY_IDENTIFIER, USA_HEALTH_INSURANCE_CLAIM_NUMBER,CREDIT_CARD,USA_NATIONAL_PROVIDER_IDENTIFIER,USA_DEA_NUMBER,USA_DRIVING_LICENSE
(string) --
OutputColumnName (string) --
Indicates the output column name that will contain any entity type detected in that row.
SampleFraction (float) --
Indicates the fraction of the data to sample when scanning for PII entities.
ThresholdFraction (float) --
Indicates the fraction of the data that must be met in order for a column to be identified as PII data.
MaskValue (string) --
Indicates the value that will replace the detected entity.
Aggregate (dict) --
Specifies a transform that groups rows by chosen fields and computes the aggregated value by specified function.
Name (string) --
The name of the transform node.
Inputs (list) --
Specifies the fields and rows to use as inputs for the aggregate transform.
(string) --
Groups (list) --
Specifies the fields to group by.
(list) --
(string) --
Aggs (list) --
Specifies the aggregate functions to be performed on specified fields.
(dict) --
Specifies the set of parameters needed to perform aggregation in the aggregate transform.
Column (list) --
Specifies the column on the data set on which the aggregation function will be applied.
(string) --
AggFunc (string) --
Specifies the aggregation function to apply.
Possible aggregation functions include: avg countDistinct, count, first, last, kurtosis, max, min, skewness, stddev_samp, stddev_pop, sum, sumDistinct, var_samp, var_pop
DropDuplicates (dict) --
Specifies a transform that removes rows of repeating data from a data set.
Name (string) --
The name of the transform node.
Inputs (list) --
The data inputs identified by their node names.
(string) --
Columns (list) --
The name of the columns to be merged or removed if repeating.
(list) --
(string) --
GovernedCatalogTarget (dict) --
Specifies a data target that writes to a goverened catalog.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Table (string) --
The name of the table in the database to write to.
Database (string) --
The name of the database to write to.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the governed catalog.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
GovernedCatalogSource (dict) --
Specifies a data source in a goverened Data Catalog.
Name (string) --
The name of the data store.
Database (string) --
The database to read from.
Table (string) --
The database table to read from.
PartitionPredicate (string) --
Partitions satisfying this predicate are deleted. Files within the retention period in these partitions are not deleted. Set to "" – empty by default.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
MicrosoftSQLServerCatalogSource (dict) --
Specifies a Microsoft SQL server data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
MySQLCatalogSource (dict) --
Specifies a MySQL data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
OracleSQLCatalogSource (dict) --
Specifies an Oracle data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
PostgreSQLCatalogSource (dict) --
Specifies a PostgresSQL data source in the Glue Data Catalog.
Name (string) --
The name of the data source.
Database (string) --
The name of the database to read from.
Table (string) --
The name of the table in the database to read from.
MicrosoftSQLServerCatalogTarget (dict) --
Specifies a target that uses Microsoft SQL.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
MySQLCatalogTarget (dict) --
Specifies a target that uses MySQL.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
OracleSQLCatalogTarget (dict) --
Specifies a target that uses Oracle SQL.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
PostgreSQLCatalogTarget (dict) --
Specifies a target that uses Postgres SQL.
Name (string) --
The name of the data target.
Inputs (list) --
The nodes that are inputs to the data target.
(string) --
Database (string) --
The name of the database to write to.
Table (string) --
The name of the table in the database to write to.
ExecutionClass (string) --
Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.
The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.
Only jobs with Glue version 3.0 and above and command type glueetl will be allowed to set ExecutionClass to FLEX . The flexible execution class is available for Spark jobs.
SourceControlDetails (dict) --
The details for a source control configuration for a job, allowing synchronization of job artifacts to or from a remote repository.
Provider (string) --
The provider for the remote repository.
Repository (string) --
The name of the remote repository that contains the job artifacts.
Owner (string) --
The owner of the remote repository that contains the job artifacts.
Branch (string) --
An optional branch in the remote repository.
Folder (string) --
An optional folder in the remote repository.
LastCommitId (string) --
The last commit ID for a commit in the remote repository.
AuthStrategy (string) --
The type of authentication, which can be an authentication token stored in Amazon Web Services Secrets Manager, or a personal access token.
AuthToken (string) --
The value of an authorization token.
NextToken (string) --
A continuation token, if not all job definitions have yet been returned.
{'JobUpdate': {'SourceControlDetails': {'AuthStrategy': 'PERSONAL_ACCESS_TOKEN '
'| AWS_SECRETS_MANAGER',
'AuthToken': 'string',
'Branch': 'string',
'Folder': 'string',
'LastCommitId': 'string',
'Owner': 'string',
'Provider': 'GITHUB | AWS_CODE_COMMIT',
'Repository': 'string'}}}
Updates an existing job definition. The previous job definition is completely overwritten by this information.
See also: AWS API Documentation
Request Syntax
client.update_job(
JobName='string',
JobUpdate={
'Description': 'string',
'LogUri': 'string',
'Role': 'string',
'ExecutionProperty': {
'MaxConcurrentRuns': 123
},
'Command': {
'Name': 'string',
'ScriptLocation': 'string',
'PythonVersion': 'string'
},
'DefaultArguments': {
'string': 'string'
},
'NonOverridableArguments': {
'string': 'string'
},
'Connections': {
'Connections': [
'string',
]
},
'MaxRetries': 123,
'AllocatedCapacity': 123,
'Timeout': 123,
'MaxCapacity': 123.0,
'WorkerType': 'Standard'|'G.1X'|'G.2X'|'G.025X',
'NumberOfWorkers': 123,
'SecurityConfiguration': 'string',
'NotificationProperty': {
'NotifyDelayAfter': 123
},
'GlueVersion': 'string',
'CodeGenConfigurationNodes': {
'string': {
'AthenaConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'ConnectionTable': 'string',
'SchemaName': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'JDBCConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'FilterPredicate': 'string',
'PartitionColumn': 'string',
'LowerBound': 123,
'UpperBound': 123,
'NumPartitions': 123,
'JobBookmarkKeys': [
'string',
],
'JobBookmarkKeysSortOrder': 'string',
'DataTypeMapping': {
'string': 'DATE'|'STRING'|'TIMESTAMP'|'INT'|'FLOAT'|'LONG'|'BIGDECIMAL'|'BYTE'|'SHORT'|'DOUBLE'
}
},
'ConnectionTable': 'string',
'Query': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkConnectorSource': {
'Name': 'string',
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'CatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'RedshiftSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'RedshiftTmpDir': 'string',
'TmpDirIAMRole': 'string'
},
'S3CatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'PartitionPredicate': 'string',
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123
}
},
'S3CsvSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'gzip'|'bzip2',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'Separator': 'comma'|'ctrla'|'pipe'|'semicolon'|'tab',
'Escaper': 'string',
'QuoteChar': 'quote'|'quillemet'|'single_quote'|'disabled',
'Multiline': True|False,
'WithHeader': True|False,
'WriteHeader': True|False,
'SkipFirst': True|False,
'OptimizePerformance': True|False,
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'S3JsonSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'gzip'|'bzip2',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'JsonPath': 'string',
'Multiline': True|False,
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'S3ParquetSource': {
'Name': 'string',
'Paths': [
'string',
],
'CompressionType': 'snappy'|'lzo'|'gzip'|'uncompressed'|'none',
'Exclusions': [
'string',
],
'GroupSize': 'string',
'GroupFiles': 'string',
'Recurse': True|False,
'MaxBand': 123,
'MaxFilesInBand': 123,
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123,
'EnableSamplePath': True|False,
'SamplePath': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'RelationalCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'DynamoDBCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'JDBCConnectorTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'ConnectionName': 'string',
'ConnectionTable': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkConnectorTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'ConnectionName': 'string',
'ConnectorName': 'string',
'ConnectionType': 'string',
'AdditionalOptions': {
'string': 'string'
},
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'CatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'RedshiftTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string',
'RedshiftTmpDir': 'string',
'TmpDirIAMRole': 'string',
'UpsertRedshiftOptions': {
'TableLocation': 'string',
'ConnectionName': 'string',
'UpsertKeys': [
'string',
]
}
},
'S3CatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Table': 'string',
'Database': 'string',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG'
}
},
'S3GlueParquetTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Path': 'string',
'Compression': 'snappy'|'lzo'|'gzip'|'uncompressed'|'none',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG',
'Table': 'string',
'Database': 'string'
}
},
'S3DirectTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Path': 'string',
'Compression': 'string',
'Format': 'json'|'csv'|'avro'|'orc'|'parquet',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG',
'Table': 'string',
'Database': 'string'
}
},
'ApplyMapping': {
'Name': 'string',
'Inputs': [
'string',
],
'Mapping': [
{
'ToKey': 'string',
'FromPath': [
'string',
],
'FromType': 'string',
'ToType': 'string',
'Dropped': True|False,
'Children': {'... recursive ...'}
},
]
},
'SelectFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'DropFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'RenameField': {
'Name': 'string',
'Inputs': [
'string',
],
'SourcePath': [
'string',
],
'TargetPath': [
'string',
]
},
'Spigot': {
'Name': 'string',
'Inputs': [
'string',
],
'Path': 'string',
'Topk': 123,
'Prob': 123.0
},
'Join': {
'Name': 'string',
'Inputs': [
'string',
],
'JoinType': 'equijoin'|'left'|'right'|'outer'|'leftsemi'|'leftanti',
'Columns': [
{
'From': 'string',
'Keys': [
[
'string',
],
]
},
]
},
'SplitFields': {
'Name': 'string',
'Inputs': [
'string',
],
'Paths': [
[
'string',
],
]
},
'SelectFromCollection': {
'Name': 'string',
'Inputs': [
'string',
],
'Index': 123
},
'FillMissingValues': {
'Name': 'string',
'Inputs': [
'string',
],
'ImputedPath': 'string',
'FilledPath': 'string'
},
'Filter': {
'Name': 'string',
'Inputs': [
'string',
],
'LogicalOperator': 'AND'|'OR',
'Filters': [
{
'Operation': 'EQ'|'LT'|'GT'|'LTE'|'GTE'|'REGEX'|'ISNULL',
'Negated': True|False,
'Values': [
{
'Type': 'COLUMNEXTRACTED'|'CONSTANT',
'Value': [
'string',
]
},
]
},
]
},
'CustomCode': {
'Name': 'string',
'Inputs': [
'string',
],
'Code': 'string',
'ClassName': 'string',
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'SparkSQL': {
'Name': 'string',
'Inputs': [
'string',
],
'SqlQuery': 'string',
'SqlAliases': [
{
'From': 'string',
'Alias': 'string'
},
],
'OutputSchemas': [
{
'Columns': [
{
'Name': 'string',
'Type': 'string'
},
]
},
]
},
'DirectKinesisSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'StreamingOptions': {
'EndpointUrl': 'string',
'StreamName': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingPosition': 'latest'|'trim_horizon'|'earliest',
'MaxFetchTimeInMs': 123,
'MaxFetchRecordsPerShard': 123,
'MaxRecordPerRead': 123,
'AddIdleTimeBetweenReads': True|False,
'IdleTimeBetweenReadsInMs': 123,
'DescribeShardInterval': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxRetryIntervalMs': 123,
'AvoidEmptyBatches': True|False,
'StreamArn': 'string',
'RoleArn': 'string',
'RoleSessionName': 'string'
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'DirectKafkaSource': {
'Name': 'string',
'StreamingOptions': {
'BootstrapServers': 'string',
'SecurityProtocol': 'string',
'ConnectionName': 'string',
'TopicName': 'string',
'Assign': 'string',
'SubscribePattern': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingOffsets': 'string',
'EndingOffsets': 'string',
'PollTimeoutMs': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxOffsetsPerTrigger': 123,
'MinPartitions': 123
},
'WindowSize': 123,
'DetectSchema': True|False,
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'CatalogKinesisSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'Table': 'string',
'Database': 'string',
'StreamingOptions': {
'EndpointUrl': 'string',
'StreamName': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingPosition': 'latest'|'trim_horizon'|'earliest',
'MaxFetchTimeInMs': 123,
'MaxFetchRecordsPerShard': 123,
'MaxRecordPerRead': 123,
'AddIdleTimeBetweenReads': True|False,
'IdleTimeBetweenReadsInMs': 123,
'DescribeShardInterval': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxRetryIntervalMs': 123,
'AvoidEmptyBatches': True|False,
'StreamArn': 'string',
'RoleArn': 'string',
'RoleSessionName': 'string'
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'CatalogKafkaSource': {
'Name': 'string',
'WindowSize': 123,
'DetectSchema': True|False,
'Table': 'string',
'Database': 'string',
'StreamingOptions': {
'BootstrapServers': 'string',
'SecurityProtocol': 'string',
'ConnectionName': 'string',
'TopicName': 'string',
'Assign': 'string',
'SubscribePattern': 'string',
'Classification': 'string',
'Delimiter': 'string',
'StartingOffsets': 'string',
'EndingOffsets': 'string',
'PollTimeoutMs': 123,
'NumRetries': 123,
'RetryIntervalMs': 123,
'MaxOffsetsPerTrigger': 123,
'MinPartitions': 123
},
'DataPreviewOptions': {
'PollingTime': 123,
'RecordPollingLimit': 123
}
},
'DropNullFields': {
'Name': 'string',
'Inputs': [
'string',
],
'NullCheckBoxList': {
'IsEmpty': True|False,
'IsNullString': True|False,
'IsNegOne': True|False
},
'NullTextList': [
{
'Value': 'string',
'Datatype': {
'Id': 'string',
'Label': 'string'
}
},
]
},
'Merge': {
'Name': 'string',
'Inputs': [
'string',
],
'Source': 'string',
'PrimaryKeys': [
[
'string',
],
]
},
'Union': {
'Name': 'string',
'Inputs': [
'string',
],
'UnionType': 'ALL'|'DISTINCT'
},
'PIIDetection': {
'Name': 'string',
'Inputs': [
'string',
],
'PiiType': 'RowAudit'|'RowMasking'|'ColumnAudit'|'ColumnMasking',
'EntityTypesToDetect': [
'string',
],
'OutputColumnName': 'string',
'SampleFraction': 123.0,
'ThresholdFraction': 123.0,
'MaskValue': 'string'
},
'Aggregate': {
'Name': 'string',
'Inputs': [
'string',
],
'Groups': [
[
'string',
],
],
'Aggs': [
{
'Column': [
'string',
],
'AggFunc': 'avg'|'countDistinct'|'count'|'first'|'last'|'kurtosis'|'max'|'min'|'skewness'|'stddev_samp'|'stddev_pop'|'sum'|'sumDistinct'|'var_samp'|'var_pop'
},
]
},
'DropDuplicates': {
'Name': 'string',
'Inputs': [
'string',
],
'Columns': [
[
'string',
],
]
},
'GovernedCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'PartitionKeys': [
[
'string',
],
],
'Table': 'string',
'Database': 'string',
'SchemaChangePolicy': {
'EnableUpdateCatalog': True|False,
'UpdateBehavior': 'UPDATE_IN_DATABASE'|'LOG'
}
},
'GovernedCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string',
'PartitionPredicate': 'string',
'AdditionalOptions': {
'BoundedSize': 123,
'BoundedFiles': 123
}
},
'MicrosoftSQLServerCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'MySQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'OracleSQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'PostgreSQLCatalogSource': {
'Name': 'string',
'Database': 'string',
'Table': 'string'
},
'MicrosoftSQLServerCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'MySQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'OracleSQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
},
'PostgreSQLCatalogTarget': {
'Name': 'string',
'Inputs': [
'string',
],
'Database': 'string',
'Table': 'string'
}
}
},
'ExecutionClass': 'FLEX'|'STANDARD',
'SourceControlDetails': {
'Provider': 'GITHUB'|'AWS_CODE_COMMIT',
'Repository': 'string',
'Owner': 'string',
'Branch': 'string',
'Folder': 'string',
'LastCommitId': 'string',
'AuthStrategy': 'PERSONAL_ACCESS_TOKEN'|'AWS_SECRETS_MANAGER',
'AuthToken': 'string'
}
}
)
string
[REQUIRED]
The name of the job definition to update.
dict
[REQUIRED]
Specifies the values with which to update the job definition. Unspecified configuration is removed or reset to default values.
Description (string) --
Description of the job being defined.
LogUri (string) --
This field is reserved for future use.
Role (string) --
The name or Amazon Resource Name (ARN) of the IAM role associated with this job (required).
ExecutionProperty (dict) --
An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.
MaxConcurrentRuns (integer) --
The maximum number of concurrent runs allowed for the job. The default is 1. An error is returned when this threshold is reached. The maximum value you can specify is controlled by a service limit.
Command (dict) --
The JobCommand that runs this job (required).
Name (string) --
The name of the job command. For an Apache Spark ETL job, this must be glueetl . For a Python shell job, it must be pythonshell . For an Apache Spark streaming ETL job, this must be gluestreaming .
ScriptLocation (string) --
Specifies the Amazon Simple Storage Service (Amazon S3) path to a script that runs a job.
PythonVersion (string) --
The Python version being used to run a Python shell job. Allowed values are 2 or 3.
DefaultArguments (dict) --
The default arguments for this job.
You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.
For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
For information about the key-value pairs that Glue consumes to set up your job, see the Special Parameters Used by Glue topic in the developer guide.
(string) --
(string) --
NonOverridableArguments (dict) --
Non-overridable arguments for this job, specified as name-value pairs.
(string) --
(string) --
Connections (dict) --
The connections used for this job.
Connections (list) --
A list of connections used by the job.
(string) --
MaxRetries (integer) --
The maximum number of times to retry this job if it fails.
AllocatedCapacity (integer) --
This field is deprecated. Use MaxCapacity instead.
The number of Glue data processing units (DPUs) to allocate to this job. You can allocate a minimum of 2 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page .
Timeout (integer) --
The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
MaxCapacity (float) --
For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page .
Do not set Max Capacity if using WorkerType and NumberOfWorkers .
The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job or an Apache Spark ETL job:
When you specify a Python shell job (JobCommand.Name ="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
When you specify an Apache Spark ETL job (JobCommand.Name ="glueetl") or Apache Spark streaming ETL job (JobCommand.Name ="gluestreaming"), you can allocate a minimum of 2 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
For Glue version 2.0 jobs, you cannot instead specify a Maximum capacity . Instead, you should specify a Worker type and the Number of workers .
WorkerType (string) --
The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X.
For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.
NumberOfWorkers (integer) --
The number of workers of a defined workerType that are allocated when a job runs.
SecurityConfiguration (string) --
The name of the SecurityConfiguration structure to be used with this job.
NotificationProperty (dict) --
Specifies the configuration properties of a job notification.
NotifyDelayAfter (integer) --
After a job run starts, the number of minutes to wait before sending a job run delay notification.
GlueVersion (string) --
Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for jobs of type Spark.
For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.
CodeGenConfigurationNodes (dict) --
The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
(string) --
(dict) --
CodeGenConfigurationNode enumerates all valid Node types. One and only one of its member variables can be populated.
AthenaConnectorSource (dict) --
Specifies a connector to an Amazon Athena data source.
Name (string) -- [REQUIRED]
The name of the data source.
ConnectionName (string) -- [REQUIRED]
The name of the connection that is associated with the connector.
ConnectorName (string) -- [REQUIRED]
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) -- [REQUIRED]
The type of connection, such as marketplace.athena or custom.athena, designating a connection to an Amazon Athena data store.
ConnectionTable (string) --
The name of the table in the data source.
SchemaName (string) -- [REQUIRED]
The name of the Cloudwatch log group to read from. For example, /aws-glue/jobs/output .
OutputSchemas (list) --
Specifies the data schema for the custom Athena source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
JDBCConnectorSource (dict) --
Specifies a connector to a JDBC data source.
Name (string) -- [REQUIRED]
The name of the data source.
ConnectionName (string) -- [REQUIRED]
The name of the connection that is associated with the connector.
ConnectorName (string) -- [REQUIRED]
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) -- [REQUIRED]
The type of connection, such as marketplace.jdbc or custom.jdbc, designating a connection to a JDBC data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
FilterPredicate (string) --
Extra condition clause to filter data from source. For example:
BillingCity='Mountain View'
When using a query instead of a table name, you should validate that the query works with the specified filterPredicate .
PartitionColumn (string) --
The name of an integer column that is used for partitioning. This option works only when it's included with lowerBound , upperBound , and numPartitions . This option works the same way as in the Spark SQL JDBC reader.
LowerBound (integer) --
The minimum value of partitionColumn that is used to decide partition stride.
UpperBound (integer) --
The maximum value of partitionColumn that is used to decide partition stride.
NumPartitions (integer) --
The number of partitions. This value, along with lowerBound (inclusive) and upperBound (exclusive), form partition strides for generated WHERE clause expressions that are used to split the partitionColumn .
JobBookmarkKeys (list) --
The name of the job bookmark keys on which to sort.
(string) --
JobBookmarkKeysSortOrder (string) --
Specifies an ascending or descending sort order.
DataTypeMapping (dict) --
Custom data type mapping that builds a mapping from a JDBC data type to an Glue data type. For example, the option "dataTypeMapping":{"FLOAT":"STRING"} maps data fields of JDBC type FLOAT into the Java String type by calling the ResultSet.getString() method of the driver, and uses it to build the Glue record. The ResultSet object is implemented by each driver, so the behavior is specific to the driver you use. Refer to the documentation for your JDBC driver to understand how the driver performs the conversions.
(string) --
(string) --
ConnectionTable (string) --
The name of the table in the data source.
Query (string) --
The table or SQL query to get the data from. You can specify either ConnectionTable or query , but not both.
OutputSchemas (list) --
Specifies the data schema for the custom JDBC source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkConnectorSource (dict) --
Specifies a connector to an Apache Spark data source.
Name (string) -- [REQUIRED]
The name of the data source.
ConnectionName (string) -- [REQUIRED]
The name of the connection that is associated with the connector.
ConnectorName (string) -- [REQUIRED]
The name of a connector that assists with accessing the data store in Glue Studio.
ConnectionType (string) -- [REQUIRED]
The type of connection, such as marketplace.spark or custom.spark, designating a connection to an Apache Spark data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies data schema for the custom spark source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
CatalogSource (dict) --
Specifies a data store in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data store.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
RedshiftSource (dict) --
Specifies an Amazon Redshift data store.
Name (string) -- [REQUIRED]
The name of the Amazon Redshift data store.
Database (string) -- [REQUIRED]
The database to read from.
Table (string) -- [REQUIRED]
The database table to read from.
RedshiftTmpDir (string) --
The Amazon S3 path where temporary data can be staged when copying out of the database.
TmpDirIAMRole (string) --
The IAM role with permissions.
S3CatalogSource (dict) --
Specifies an Amazon S3 data store in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data store.
Database (string) -- [REQUIRED]
The database to read from.
Table (string) -- [REQUIRED]
The database table to read from.
PartitionPredicate (string) --
Partitions satisfying this predicate are deleted. Files within the retention period in these partitions are not deleted. Set to "" – empty by default.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
S3CsvSource (dict) --
Specifies a command-separated value (CSV) data store stored in Amazon S3.
Name (string) -- [REQUIRED]
The name of the data store.
Paths (list) -- [REQUIRED]
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
Separator (string) -- [REQUIRED]
Specifies the delimiter character. The default is a comma: ",", but any other character can be specified.
Escaper (string) --
Specifies a character to use for escaping. This option is used only when reading CSV files. The default value is none . If enabled, the character which immediately follows is used as-is, except for a small set of well-known escapes (\n , \r , \t , and \0 ).
QuoteChar (string) -- [REQUIRED]
Specifies the character to use for quoting. The default is a double quote: '"' . Set this to -1 to turn off quoting entirely.
Multiline (boolean) --
A Boolean value that specifies whether a single record can span multiple lines. This can occur when a field contains a quoted new-line character. You must set this option to True if any record spans multiple lines. The default value is False , which allows for more aggressive file-splitting during parsing.
WithHeader (boolean) --
A Boolean value that specifies whether to treat the first line as a header. The default value is False .
WriteHeader (boolean) --
A Boolean value that specifies whether to write the header to output. The default value is True .
SkipFirst (boolean) --
A Boolean value that specifies whether to skip the first data line. The default value is False .
OptimizePerformance (boolean) --
A Boolean value that specifies whether to use the advanced SIMD CSV reader along with Apache Arrow based columnar memory formats. Only available in Glue version 3.0.
OutputSchemas (list) --
Specifies the data schema for the S3 CSV source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
S3JsonSource (dict) --
Specifies a JSON data store stored in Amazon S3.
Name (string) -- [REQUIRED]
The name of the data store.
Paths (list) -- [REQUIRED]
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
JsonPath (string) --
A JsonPath string defining the JSON data.
Multiline (boolean) --
A Boolean value that specifies whether a single record can span multiple lines. This can occur when a field contains a quoted new-line character. You must set this option to True if any record spans multiple lines. The default value is False , which allows for more aggressive file-splitting during parsing.
OutputSchemas (list) --
Specifies the data schema for the S3 JSON source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
S3ParquetSource (dict) --
Specifies an Apache Parquet data store stored in Amazon S3.
Name (string) -- [REQUIRED]
The name of the data store.
Paths (list) -- [REQUIRED]
A list of the Amazon S3 paths to read from.
(string) --
CompressionType (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Exclusions (list) --
A string containing a JSON list of Unix-style glob patterns to exclude. For example, "["**.pdf"]" excludes all PDF files.
(string) --
GroupSize (string) --
The target group size in bytes. The default is computed based on the input data size and the size of your cluster. When there are fewer than 50,000 input files, "groupFiles" must be set to "inPartition" for this to take effect.
GroupFiles (string) --
Grouping files is turned on by default when the input contains more than 50,000 files. To turn on grouping with fewer than 50,000 files, set this parameter to "inPartition". To disable grouping when there are more than 50,000 files, set this parameter to "none" .
Recurse (boolean) --
If set to true, recursively reads files in all subdirectories under the specified paths.
MaxBand (integer) --
This option controls the duration in milliseconds after which the s3 listing is likely to be consistent. Files with modification timestamps falling within the last maxBand milliseconds are tracked specially when using JobBookmarks to account for Amazon S3 eventual consistency. Most users don't need to set this option. The default is 900000 milliseconds, or 15 minutes.
MaxFilesInBand (integer) --
This option specifies the maximum number of files to save from the last maxBand seconds. If this number is exceeded, extra files are skipped and only processed in the next job run.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
EnableSamplePath (boolean) --
Sets option to enable a sample path.
SamplePath (string) --
If enabled, specifies the sample path.
OutputSchemas (list) --
Specifies the data schema for the S3 Parquet source.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
RelationalCatalogSource (dict) --
Specifies a Relational database data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
DynamoDBCatalogSource (dict) --
Specifies a DynamoDB data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
JDBCConnectorTarget (dict) --
Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
ConnectionName (string) -- [REQUIRED]
The name of the connection that is associated with the connector.
ConnectionTable (string) -- [REQUIRED]
The name of the table in the data target.
ConnectorName (string) -- [REQUIRED]
The name of a connector that will be used.
ConnectionType (string) -- [REQUIRED]
The type of connection, such as marketplace.jdbc or custom.jdbc, designating a connection to a JDBC data target.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies the data schema for the JDBC target.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkConnectorTarget (dict) --
Specifies a target that uses an Apache Spark connector.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
ConnectionName (string) -- [REQUIRED]
The name of a connection for an Apache Spark connector.
ConnectorName (string) -- [REQUIRED]
The name of an Apache Spark connector.
ConnectionType (string) -- [REQUIRED]
The type of connection, such as marketplace.spark or custom.spark, designating a connection to an Apache Spark data store.
AdditionalOptions (dict) --
Additional connection options for the connector.
(string) --
(string) --
OutputSchemas (list) --
Specifies the data schema for the custom spark target.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
CatalogTarget (dict) --
Specifies a target that uses a Glue Data Catalog table.
Name (string) -- [REQUIRED]
The name of your data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
Database (string) -- [REQUIRED]
The database that contains the table you want to use as the target. This database must already exist in the Data Catalog.
Table (string) -- [REQUIRED]
The table that defines the schema of your output data. This table must already exist in the Data Catalog.
RedshiftTarget (dict) --
Specifies a target that uses Amazon Redshift.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
Database (string) -- [REQUIRED]
The name of the database to write to.
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
RedshiftTmpDir (string) --
The Amazon S3 path where temporary data can be staged when copying out of the database.
TmpDirIAMRole (string) --
The IAM role with permissions.
UpsertRedshiftOptions (dict) --
The set of options to configure an upsert operation when writing to a Redshift target.
TableLocation (string) --
The physical location of the Redshift table.
ConnectionName (string) --
The name of the connection to use to write to Redshift.
UpsertKeys (list) --
The keys used to determine whether to perform an update or insert.
(string) --
S3CatalogTarget (dict) --
Specifies a data target that writes to Amazon S3 using the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
Database (string) -- [REQUIRED]
The name of the database to write to.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
S3GlueParquetTarget (dict) --
Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Path (string) -- [REQUIRED]
A single Amazon S3 path to write to.
Compression (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
Table (string) --
Specifies the table in the database that the schema change policy applies to.
Database (string) --
Specifies the database that the schema change policy applies to.
S3DirectTarget (dict) --
Specifies a data target that writes to Amazon S3.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Path (string) -- [REQUIRED]
A single Amazon S3 path to write to.
Compression (string) --
Specifies how the data is compressed. This is generally not necessary if the data has a standard file extension. Possible values are "gzip" and "bzip" ).
Format (string) -- [REQUIRED]
Specifies the data output format for the target.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the crawler.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
Table (string) --
Specifies the table in the database that the schema change policy applies to.
Database (string) --
Specifies the database that the schema change policy applies to.
ApplyMapping (dict) --
Specifies a transform that maps data property keys in the data source to data property keys in the data target. You can rename keys, modify the data types for keys, and choose which keys to drop from the dataset.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Mapping (list) -- [REQUIRED]
Specifies the mapping of data property keys in the data source to data property keys in the data target.
(dict) --
Specifies the mapping of data property keys.
ToKey (string) --
After the apply mapping, what the name of the column should be. Can be the same as FromPath .
FromPath (list) --
The table or column to be modified.
(string) --
FromType (string) --
The type of the data to be modified.
ToType (string) --
The data type that the data is to be modified to.
Dropped (boolean) --
If true, then the column is removed.
Children (list) --
Only applicable to nested data structures. If you want to change the parent structure, but also one of its children, you can fill out this data strucutre. It is also Mapping , but its FromPath will be the parent's FromPath plus the FromPath from this structure.
For the children part, suppose you have the structure:
{ "FromPath": "OuterStructure", "ToKey": "OuterStructure", "ToType": "Struct", "Dropped": false, "Chidlren": [{ "FromPath": "inner", "ToKey": "inner", "ToType": "Double", "Dropped": false, }] }
You can specify a Mapping that looks like:
{ "FromPath": "OuterStructure", "ToKey": "OuterStructure", "ToType": "Struct", "Dropped": false, "Chidlren": [{ "FromPath": "inner", "ToKey": "inner", "ToType": "Double", "Dropped": false, }] }
SelectFields (dict) --
Specifies a transform that chooses the data property keys that you want to keep.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Paths (list) -- [REQUIRED]
A JSON path to a variable in the data structure.
(list) --
(string) --
DropFields (dict) --
Specifies a transform that chooses the data property keys that you want to drop.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Paths (list) -- [REQUIRED]
A JSON path to a variable in the data structure.
(list) --
(string) --
RenameField (dict) --
Specifies a transform that renames a single data property key.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
SourcePath (list) -- [REQUIRED]
A JSON path to a variable in the data structure for the source data.
(string) --
TargetPath (list) -- [REQUIRED]
A JSON path to a variable in the data structure for the target data.
(string) --
Spigot (dict) --
Specifies a transform that writes samples of the data to an Amazon S3 bucket.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Path (string) -- [REQUIRED]
A path in Amazon S3 where the transform will write a subset of records from the dataset to a JSON file in an Amazon S3 bucket.
Topk (integer) --
Specifies a number of records to write starting from the beginning of the dataset.
Prob (float) --
The probability (a decimal value with a maximum value of 1) of picking any given record. A value of 1 indicates that each row read from the dataset should be included in the sample output.
Join (dict) --
Specifies a transform that joins two datasets into one dataset using a comparison phrase on the specified data property keys. You can use inner, outer, left, right, left semi, and left anti joins.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
JoinType (string) -- [REQUIRED]
Specifies the type of join to be performed on the datasets.
Columns (list) -- [REQUIRED]
A list of the two columns to be joined.
(dict) --
Specifies a column to be joined.
From (string) -- [REQUIRED]
The column to be joined.
Keys (list) -- [REQUIRED]
The key of the column to be joined.
(list) --
(string) --
SplitFields (dict) --
Specifies a transform that splits data property keys into two DynamicFrames . The output is a collection of DynamicFrames : one with selected data property keys, and one with the remaining data property keys.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Paths (list) -- [REQUIRED]
A JSON path to a variable in the data structure.
(list) --
(string) --
SelectFromCollection (dict) --
Specifies a transform that chooses one DynamicFrame from a collection of DynamicFrames . The output is the selected DynamicFrame
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Index (integer) -- [REQUIRED]
The index for the DynamicFrame to be selected.
FillMissingValues (dict) --
Specifies a transform that locates records in the dataset that have missing values and adds a new field with a value determined by imputation. The input data set is used to train the machine learning model that determines what the missing value should be.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
ImputedPath (string) -- [REQUIRED]
A JSON path to a variable in the data structure for the dataset that is imputed.
FilledPath (string) --
A JSON path to a variable in the data structure for the dataset that is filled.
Filter (dict) --
Specifies a transform that splits a dataset into two, based on a filter condition.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
LogicalOperator (string) -- [REQUIRED]
The operator used to filter rows by comparing the key value to a specified value.
Filters (list) -- [REQUIRED]
Specifies a filter expression.
(dict) --
Specifies a filter expression.
Operation (string) -- [REQUIRED]
The type of operation to perform in the expression.
Negated (boolean) --
Whether the expression is to be negated.
Values (list) -- [REQUIRED]
A list of filter values.
(dict) --
Represents a single entry in the list of values for a FilterExpression .
Type (string) -- [REQUIRED]
The type of filter value.
Value (list) -- [REQUIRED]
The value to be associated.
(string) --
CustomCode (dict) --
Specifies a transform that uses custom code you provide to perform the data transformation. The output is a collection of DynamicFrames.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Code (string) -- [REQUIRED]
The custom code that is used to perform the data transformation.
ClassName (string) -- [REQUIRED]
The name defined for the custom code node class.
OutputSchemas (list) --
Specifies the data schema for the custom code transform.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
SparkSQL (dict) --
Specifies a transform where you enter a SQL query using Spark SQL syntax to transform the data. The output is a single DynamicFrame .
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names. You can associate a table name with each input node to use in the SQL query. The name you choose must meet the Spark SQL naming restrictions.
(string) --
SqlQuery (string) -- [REQUIRED]
A SQL query that must use Spark SQL syntax and return a single data set.
SqlAliases (list) -- [REQUIRED]
A list of aliases. An alias allows you to specify what name to use in the SQL for a given input. For example, you have a datasource named "MyDataSource". If you specify From as MyDataSource, and Alias as SqlName, then in your SQL you can do:
select * from SqlName
and that gets data from MyDataSource.
(dict) --
Represents a single entry in the list of values for SqlAliases .
From (string) -- [REQUIRED]
A table, or a column in a table.
Alias (string) -- [REQUIRED]
A temporary name given to a table, or a column in a table.
OutputSchemas (list) --
Specifies the data schema for the SparkSQL transform.
(dict) --
Specifies a user-defined schema when a schema cannot be determined by AWS Glue.
Columns (list) --
Specifies the column definitions that make up a Glue schema.
(dict) --
Specifies a single column in a Glue schema definition.
Name (string) -- [REQUIRED]
The name of the column in the Glue Studio schema.
Type (string) --
The hive type for this column in the Glue Studio schema.
DirectKinesisSource (dict) --
Specifies a direct Amazon Kinesis data source.
Name (string) -- [REQUIRED]
The name of the data source.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
StreamingOptions (dict) --
Additional options for the Kinesis streaming data source.
EndpointUrl (string) --
The URL of the Kinesis endpoint.
StreamName (string) --
The name of the Kinesis data stream.
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingPosition (string) --
The starting position in the Kinesis data stream to read data from. The possible values are "latest" , "trim_horizon" , or "earliest" . The default value is "latest" .
MaxFetchTimeInMs (integer) --
The maximum time spent in the job executor to fetch a record from the Kinesis data stream per shard, specified in milliseconds (ms). The default value is 1000 .
MaxFetchRecordsPerShard (integer) --
The maximum number of records to fetch per shard in the Kinesis data stream. The default value is 100000 .
MaxRecordPerRead (integer) --
The maximum number of records to fetch from the Kinesis data stream in each getRecords operation. The default value is 10000 .
AddIdleTimeBetweenReads (boolean) --
Adds a time delay between two consecutive getRecords operations. The default value is "False" . This option is only configurable for Glue version 2.0 and above.
IdleTimeBetweenReadsInMs (integer) --
The minimum time delay between two consecutive getRecords operations, specified in ms. The default value is 1000 . This option is only configurable for Glue version 2.0 and above.
DescribeShardInterval (integer) --
The minimum time interval between two ListShards API calls for your script to consider resharding. The default value is 1s .
NumRetries (integer) --
The maximum number of retries for Kinesis Data Streams API requests. The default value is 3 .
RetryIntervalMs (integer) --
The cool-off time period (specified in ms) before retrying the Kinesis Data Streams API call. The default value is 1000 .
MaxRetryIntervalMs (integer) --
The maximum cool-off time period (specified in ms) between two retries of a Kinesis Data Streams API call. The default value is 10000 .
AvoidEmptyBatches (boolean) --
Avoids creating an empty microbatch job by checking for unread data in the Kinesis data stream before the batch is started. The default value is "False" .
StreamArn (string) --
The Amazon Resource Name (ARN) of the Kinesis data stream.
RoleArn (string) --
The Amazon Resource Name (ARN) of the role to assume using AWS Security Token Service (AWS STS). This role must have permissions for describe or read record operations for the Kinesis data stream. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSSessionName" .
RoleSessionName (string) --
An identifier for the session assuming the role using AWS STS. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSRoleARN" .
DataPreviewOptions (dict) --
Additional options for data preview.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
DirectKafkaSource (dict) --
Specifies an Apache Kafka data store.
Name (string) -- [REQUIRED]
The name of the data store.
StreamingOptions (dict) --
Specifies the streaming options.
BootstrapServers (string) --
A list of bootstrap server URLs, for example, as b-1.vpc-test-2.o4q88o.c6.kafka.us-east-1.amazonaws.com:9094 . This option must be specified in the API call or defined in the table metadata in the Data Catalog.
SecurityProtocol (string) --
The protocol used to communicate with brokers. The possible values are "SSL" or "PLAINTEXT" .
ConnectionName (string) --
The name of the connection.
TopicName (string) --
The topic name as specified in Apache Kafka. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Assign (string) --
The specific TopicPartitions to consume. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
SubscribePattern (string) --
A Java regex string that identifies the topic list to subscribe to. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingOffsets (string) --
The starting position in the Kafka topic to read data from. The possible values are "earliest" or "latest" . The default value is "latest" .
EndingOffsets (string) --
The end point when a batch query is ended. Possible values are either "latest" or a JSON string that specifies an ending offset for each TopicPartition .
PollTimeoutMs (integer) --
The timeout in milliseconds to poll data from Kafka in Spark job executors. The default value is 512 .
NumRetries (integer) --
The number of times to retry before failing to fetch Kafka offsets. The default value is 3 .
RetryIntervalMs (integer) --
The time in milliseconds to wait before retrying to fetch Kafka offsets. The default value is 10 .
MaxOffsetsPerTrigger (integer) --
The rate limit on the maximum number of offsets that are processed per trigger interval. The specified total number of offsets is proportionally split across topicPartitions of different volumes. The default value is null, which means that the consumer reads all offsets until the known latest offset.
MinPartitions (integer) --
The desired minimum number of partitions to read from Kafka. The default value is null, which means that the number of spark partitions is equal to the number of Kafka partitions.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
DataPreviewOptions (dict) --
Specifies options related to data preview for viewing a sample of your data.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
CatalogKinesisSource (dict) --
Specifies a Kinesis data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
Database (string) -- [REQUIRED]
The name of the database to read from.
StreamingOptions (dict) --
Additional options for the Kinesis streaming data source.
EndpointUrl (string) --
The URL of the Kinesis endpoint.
StreamName (string) --
The name of the Kinesis data stream.
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingPosition (string) --
The starting position in the Kinesis data stream to read data from. The possible values are "latest" , "trim_horizon" , or "earliest" . The default value is "latest" .
MaxFetchTimeInMs (integer) --
The maximum time spent in the job executor to fetch a record from the Kinesis data stream per shard, specified in milliseconds (ms). The default value is 1000 .
MaxFetchRecordsPerShard (integer) --
The maximum number of records to fetch per shard in the Kinesis data stream. The default value is 100000 .
MaxRecordPerRead (integer) --
The maximum number of records to fetch from the Kinesis data stream in each getRecords operation. The default value is 10000 .
AddIdleTimeBetweenReads (boolean) --
Adds a time delay between two consecutive getRecords operations. The default value is "False" . This option is only configurable for Glue version 2.0 and above.
IdleTimeBetweenReadsInMs (integer) --
The minimum time delay between two consecutive getRecords operations, specified in ms. The default value is 1000 . This option is only configurable for Glue version 2.0 and above.
DescribeShardInterval (integer) --
The minimum time interval between two ListShards API calls for your script to consider resharding. The default value is 1s .
NumRetries (integer) --
The maximum number of retries for Kinesis Data Streams API requests. The default value is 3 .
RetryIntervalMs (integer) --
The cool-off time period (specified in ms) before retrying the Kinesis Data Streams API call. The default value is 1000 .
MaxRetryIntervalMs (integer) --
The maximum cool-off time period (specified in ms) between two retries of a Kinesis Data Streams API call. The default value is 10000 .
AvoidEmptyBatches (boolean) --
Avoids creating an empty microbatch job by checking for unread data in the Kinesis data stream before the batch is started. The default value is "False" .
StreamArn (string) --
The Amazon Resource Name (ARN) of the Kinesis data stream.
RoleArn (string) --
The Amazon Resource Name (ARN) of the role to assume using AWS Security Token Service (AWS STS). This role must have permissions for describe or read record operations for the Kinesis data stream. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSSessionName" .
RoleSessionName (string) --
An identifier for the session assuming the role using AWS STS. You must use this parameter when accessing a data stream in a different account. Used in conjunction with "awsSTSRoleARN" .
DataPreviewOptions (dict) --
Additional options for data preview.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
CatalogKafkaSource (dict) --
Specifies an Apache Kafka data store in the Data Catalog.
Name (string) -- [REQUIRED]
The name of the data store.
WindowSize (integer) --
The amount of time to spend processing each micro batch.
DetectSchema (boolean) --
Whether to automatically determine the schema from the incoming data.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
Database (string) -- [REQUIRED]
The name of the database to read from.
StreamingOptions (dict) --
Specifies the streaming options.
BootstrapServers (string) --
A list of bootstrap server URLs, for example, as b-1.vpc-test-2.o4q88o.c6.kafka.us-east-1.amazonaws.com:9094 . This option must be specified in the API call or defined in the table metadata in the Data Catalog.
SecurityProtocol (string) --
The protocol used to communicate with brokers. The possible values are "SSL" or "PLAINTEXT" .
ConnectionName (string) --
The name of the connection.
TopicName (string) --
The topic name as specified in Apache Kafka. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Assign (string) --
The specific TopicPartitions to consume. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
SubscribePattern (string) --
A Java regex string that identifies the topic list to subscribe to. You must specify at least one of "topicName" , "assign" or "subscribePattern" .
Classification (string) --
An optional classification.
Delimiter (string) --
Specifies the delimiter character.
StartingOffsets (string) --
The starting position in the Kafka topic to read data from. The possible values are "earliest" or "latest" . The default value is "latest" .
EndingOffsets (string) --
The end point when a batch query is ended. Possible values are either "latest" or a JSON string that specifies an ending offset for each TopicPartition .
PollTimeoutMs (integer) --
The timeout in milliseconds to poll data from Kafka in Spark job executors. The default value is 512 .
NumRetries (integer) --
The number of times to retry before failing to fetch Kafka offsets. The default value is 3 .
RetryIntervalMs (integer) --
The time in milliseconds to wait before retrying to fetch Kafka offsets. The default value is 10 .
MaxOffsetsPerTrigger (integer) --
The rate limit on the maximum number of offsets that are processed per trigger interval. The specified total number of offsets is proportionally split across topicPartitions of different volumes. The default value is null, which means that the consumer reads all offsets until the known latest offset.
MinPartitions (integer) --
The desired minimum number of partitions to read from Kafka. The default value is null, which means that the number of spark partitions is equal to the number of Kafka partitions.
DataPreviewOptions (dict) --
Specifies options related to data preview for viewing a sample of your data.
PollingTime (integer) --
The polling time in milliseconds.
RecordPollingLimit (integer) --
The limit to the number of records polled.
DropNullFields (dict) --
Specifies a transform that removes columns from the dataset if all values in the column are 'null'. By default, Glue Studio will recognize null objects, but some values such as empty strings, strings that are "null", -1 integers or other placeholders such as zeros, are not automatically recognized as nulls.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
NullCheckBoxList (dict) --
A structure that represents whether certain values are recognized as null values for removal.
IsEmpty (boolean) --
Specifies that an empty string is considered as a null value.
IsNullString (boolean) --
Specifies that a value spelling out the word 'null' is considered as a null value.
IsNegOne (boolean) --
Specifies that an integer value of -1 is considered as a null value.
NullTextList (list) --
A structure that specifies a list of NullValueField structures that represent a custom null value such as zero or other value being used as a null placeholder unique to the dataset.
The DropNullFields transform removes custom null values only if both the value of the null placeholder and the datatype match the data.
(dict) --
Represents a custom null value such as a zeros or other value being used as a null placeholder unique to the dataset.
Value (string) -- [REQUIRED]
The value of the null placeholder.
Datatype (dict) -- [REQUIRED]
The datatype of the value.
Id (string) -- [REQUIRED]
The datatype of the value.
Label (string) -- [REQUIRED]
A label assigned to the datatype.
Merge (dict) --
Specifies a transform that merges a DynamicFrame with a staging DynamicFrame based on the specified primary keys to identify records. Duplicate records (records with the same primary keys) are not de-duplicated.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Source (string) -- [REQUIRED]
The source DynamicFrame that will be merged with a staging DynamicFrame .
PrimaryKeys (list) -- [REQUIRED]
The list of primary key fields to match records from the source and staging dynamic frames.
(list) --
(string) --
Union (dict) --
Specifies a transform that combines the rows from two or more datasets into a single result.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The node ID inputs to the transform.
(string) --
UnionType (string) -- [REQUIRED]
Indicates the type of Union transform.
Specify ALL to join all rows from data sources to the resulting DynamicFrame. The resulting union does not remove duplicate rows.
Specify DISTINCT to remove duplicate rows in the resulting DynamicFrame.
PIIDetection (dict) --
Specifies a transform that identifies, removes or masks PII data.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The node ID inputs to the transform.
(string) --
PiiType (string) -- [REQUIRED]
Indicates the type of PIIDetection transform.
EntityTypesToDetect (list) -- [REQUIRED]
Indicates the types of entities the PIIDetection transform will identify as PII data.
PII type entities include: PERSON_NAME, DATE, USA_SNN, EMAIL, USA_ITIN, USA_PASSPORT_NUMBER, PHONE_NUMBER, BANK_ACCOUNT, IP_ADDRESS, MAC_ADDRESS, USA_CPT_CODE, USA_HCPCS_CODE, USA_NATIONAL_DRUG_CODE, USA_MEDICARE_BENEFICIARY_IDENTIFIER, USA_HEALTH_INSURANCE_CLAIM_NUMBER,CREDIT_CARD,USA_NATIONAL_PROVIDER_IDENTIFIER,USA_DEA_NUMBER,USA_DRIVING_LICENSE
(string) --
OutputColumnName (string) --
Indicates the output column name that will contain any entity type detected in that row.
SampleFraction (float) --
Indicates the fraction of the data to sample when scanning for PII entities.
ThresholdFraction (float) --
Indicates the fraction of the data that must be met in order for a column to be identified as PII data.
MaskValue (string) --
Indicates the value that will replace the detected entity.
Aggregate (dict) --
Specifies a transform that groups rows by chosen fields and computes the aggregated value by specified function.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
Specifies the fields and rows to use as inputs for the aggregate transform.
(string) --
Groups (list) -- [REQUIRED]
Specifies the fields to group by.
(list) --
(string) --
Aggs (list) -- [REQUIRED]
Specifies the aggregate functions to be performed on specified fields.
(dict) --
Specifies the set of parameters needed to perform aggregation in the aggregate transform.
Column (list) -- [REQUIRED]
Specifies the column on the data set on which the aggregation function will be applied.
(string) --
AggFunc (string) -- [REQUIRED]
Specifies the aggregation function to apply.
Possible aggregation functions include: avg countDistinct, count, first, last, kurtosis, max, min, skewness, stddev_samp, stddev_pop, sum, sumDistinct, var_samp, var_pop
DropDuplicates (dict) --
Specifies a transform that removes rows of repeating data from a data set.
Name (string) -- [REQUIRED]
The name of the transform node.
Inputs (list) -- [REQUIRED]
The data inputs identified by their node names.
(string) --
Columns (list) --
The name of the columns to be merged or removed if repeating.
(list) --
(string) --
GovernedCatalogTarget (dict) --
Specifies a data target that writes to a goverened catalog.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
PartitionKeys (list) --
Specifies native partitioning using a sequence of keys.
(list) --
(string) --
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
Database (string) -- [REQUIRED]
The name of the database to write to.
SchemaChangePolicy (dict) --
A policy that specifies update behavior for the governed catalog.
EnableUpdateCatalog (boolean) --
Whether to use the specified update behavior when the crawler finds a changed schema.
UpdateBehavior (string) --
The update behavior when the crawler finds a changed schema.
GovernedCatalogSource (dict) --
Specifies a data source in a goverened Data Catalog.
Name (string) -- [REQUIRED]
The name of the data store.
Database (string) -- [REQUIRED]
The database to read from.
Table (string) -- [REQUIRED]
The database table to read from.
PartitionPredicate (string) --
Partitions satisfying this predicate are deleted. Files within the retention period in these partitions are not deleted. Set to "" – empty by default.
AdditionalOptions (dict) --
Specifies additional connection options.
BoundedSize (integer) --
Sets the upper limit for the target size of the dataset in bytes that will be processed.
BoundedFiles (integer) --
Sets the upper limit for the target number of files that will be processed.
MicrosoftSQLServerCatalogSource (dict) --
Specifies a Microsoft SQL server data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
MySQLCatalogSource (dict) --
Specifies a MySQL data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
OracleSQLCatalogSource (dict) --
Specifies an Oracle data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
PostgreSQLCatalogSource (dict) --
Specifies a PostgresSQL data source in the Glue Data Catalog.
Name (string) -- [REQUIRED]
The name of the data source.
Database (string) -- [REQUIRED]
The name of the database to read from.
Table (string) -- [REQUIRED]
The name of the table in the database to read from.
MicrosoftSQLServerCatalogTarget (dict) --
Specifies a target that uses Microsoft SQL.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
Database (string) -- [REQUIRED]
The name of the database to write to.
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
MySQLCatalogTarget (dict) --
Specifies a target that uses MySQL.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
Database (string) -- [REQUIRED]
The name of the database to write to.
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
OracleSQLCatalogTarget (dict) --
Specifies a target that uses Oracle SQL.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
Database (string) -- [REQUIRED]
The name of the database to write to.
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
PostgreSQLCatalogTarget (dict) --
Specifies a target that uses Postgres SQL.
Name (string) -- [REQUIRED]
The name of the data target.
Inputs (list) -- [REQUIRED]
The nodes that are inputs to the data target.
(string) --
Database (string) -- [REQUIRED]
The name of the database to write to.
Table (string) -- [REQUIRED]
The name of the table in the database to write to.
ExecutionClass (string) --
Indicates whether the job is run with a standard or flexible execution class. The standard execution-class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.
The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.
Only jobs with Glue version 3.0 and above and command type glueetl will be allowed to set ExecutionClass to FLEX . The flexible execution class is available for Spark jobs.
SourceControlDetails (dict) --
The details for a source control configuration for a job, allowing synchronization of job artifacts to or from a remote repository.
Provider (string) --
The provider for the remote repository.
Repository (string) --
The name of the remote repository that contains the job artifacts.
Owner (string) --
The owner of the remote repository that contains the job artifacts.
Branch (string) --
An optional branch in the remote repository.
Folder (string) --
An optional folder in the remote repository.
LastCommitId (string) --
The last commit ID for a commit in the remote repository.
AuthStrategy (string) --
The type of authentication, which can be an authentication token stored in Amazon Web Services Secrets Manager, or a personal access token.
AuthToken (string) --
The value of an authorization token.
dict
Response Syntax
{
'JobName': 'string'
}
Response Structure
(dict) --
JobName (string) --
Returns the name of the updated job definition.