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Create Job

glue_create_job R Documentation

Creates a new job definition

Description

Creates a new job definition.

Usage

glue_create_job(Name, JobMode, JobRunQueuingEnabled, Description,
  LogUri, Role, ExecutionProperty, Command, DefaultArguments,
  NonOverridableArguments, Connections, MaxRetries, AllocatedCapacity,
  Timeout, MaxCapacity, SecurityConfiguration, Tags, NotificationProperty,
  GlueVersion, NumberOfWorkers, WorkerType, CodeGenConfigurationNodes,
  ExecutionClass, SourceControlDetails, MaintenanceWindow)

Arguments

Name

[required] The name you assign to this job definition. It must be unique in your account.

JobMode

A mode that describes how a job was created. Valid values are:

  • SCRIPT - The job was created using the Glue Studio script editor.

  • VISUAL - The job was created using the Glue Studio visual editor.

  • NOTEBOOK - The job was created using an interactive sessions notebook.

When the JobMode field is missing or null, SCRIPT is assigned as the default value.

JobRunQueuingEnabled

Specifies whether job run queuing is enabled for the job runs for this job.

A value of true means job run queuing is enabled for the job runs. If false or not populated, the job runs will not be considered for queueing.

If this field does not match the value set in the job run, then the value from the job run field will be used.

Description

Description of the job being defined.

LogUri

This field is reserved for future use.

Role

[required] The name or Amazon Resource Name (ARN) of the IAM role associated with this job.

ExecutionProperty

An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.

Command

[required] The JobCommand that runs this job.

DefaultArguments

The default arguments for every run of 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.

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 arguments you can provide to this field when configuring Spark jobs, see the Special Parameters Used by Glue topic in the developer guide.

For information about the arguments you can provide to this field when configuring Ray jobs, see Using job parameters in Ray jobs in the developer guide.

NonOverridableArguments

Arguments for this job that are not overridden when providing job arguments in a job run, specified as name-value pairs.

Connections

The connections used for this job.

MaxRetries

The maximum number of times to retry this job if it fails.

AllocatedCapacity

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.

Timeout

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) for batch jobs.

Streaming jobs must have timeout values less than 7 days or 10080 minutes. When the value is left blank, the job will be restarted after 7 days based if you have not setup a maintenance window. If you have setup maintenance window, it will be restarted during the maintenance window after 7 days.

MaxCapacity

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.

For Glue version 2.0+ jobs, you cannot specify a ⁠Maximum capacity⁠. Instead, you should specify a ⁠Worker type⁠ and the ⁠Number of workers⁠.

Do not set MaxCapacity 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 from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.

SecurityConfiguration

The name of the SecurityConfiguration structure to be used with this job.

Tags

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.

NotificationProperty

Specifies configuration properties of a job notification.

GlueVersion

In Spark jobs, GlueVersion determines the versions of Apache Spark and Python that Glue available in a job. The Python version indicates the version supported for jobs of type Spark.

Ray jobs should set GlueVersion to 4.0 or greater. However, the versions of Ray, Python and additional libraries available in your Ray job are determined by the Runtime parameter of the Job command.

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.

NumberOfWorkers

The number of workers of a defined workerType that are allocated when a job runs.

WorkerType

The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, G.8X or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

  • For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

  • For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

  • For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).

  • For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.

  • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPUs, 4 GB of memory) with 84GB disk (approximately 34GB free), 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.

  • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.

CodeGenConfigurationNodes

The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.

ExecutionClass

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

The details for a source control configuration for a job, allowing synchronization of job artifacts to or from a remote repository.

MaintenanceWindow

This field specifies a day of the week and hour for a maintenance window for streaming jobs. Glue periodically performs maintenance activities. During these maintenance windows, Glue will need to restart your streaming jobs.

Glue will restart the job within 3 hours of the specified maintenance window. For instance, if you set up the maintenance window for Monday at 10:00AM GMT, your jobs will be restarted between 10:00AM GMT to 1:00PM GMT.

Value

A list with the following syntax: 

list(
  Name = "string"
)

Request syntax

svc$create_job(
  Name = "string",
  JobMode = "SCRIPT"|"VISUAL"|"NOTEBOOK",
  JobRunQueuingEnabled = TRUE|FALSE,
  Description = "string",
  LogUri = "string",
  Role = "string",
  ExecutionProperty = list(
    MaxConcurrentRuns = 123
  ),
  Command = list(
    Name = "string",
    ScriptLocation = "string",
    PythonVersion = "string",
    Runtime = "string"
  ),
  DefaultArguments = list(
    "string"
  ),
  NonOverridableArguments = list(
    "string"
  ),
  Connections = list(
    Connections = list(
      "string"
    )
  ),
  MaxRetries = 123,
  AllocatedCapacity = 123,
  Timeout = 123,
  MaxCapacity = 123.0,
  SecurityConfiguration = "string",
  Tags = list(
    "string"
  ),
  NotificationProperty = list(
    NotifyDelayAfter = 123
  ),
  GlueVersion = "string",
  NumberOfWorkers = 123,
  WorkerType = "Standard"|"G.1X"|"G.2X"|"G.025X"|"G.4X"|"G.8X"|"Z.2X",
  CodeGenConfigurationNodes = list(
    list(
      AthenaConnectorSource = list(
        Name = "string",
        ConnectionName = "string",
        ConnectorName = "string",
        ConnectionType = "string",
        ConnectionTable = "string",
        SchemaName = "string",
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      JDBCConnectorSource = list(
        Name = "string",
        ConnectionName = "string",
        ConnectorName = "string",
        ConnectionType = "string",
        AdditionalOptions = list(
          FilterPredicate = "string",
          PartitionColumn = "string",
          LowerBound = 123,
          UpperBound = 123,
          NumPartitions = 123,
          JobBookmarkKeys = list(
            "string"
          ),
          JobBookmarkKeysSortOrder = "string",
          DataTypeMapping = list(
            "DATE"|"STRING"|"TIMESTAMP"|"INT"|"FLOAT"|"LONG"|"BIGDECIMAL"|"BYTE"|"SHORT"|"DOUBLE"
          )
        ),
        ConnectionTable = "string",
        Query = "string",
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      SparkConnectorSource = list(
        Name = "string",
        ConnectionName = "string",
        ConnectorName = "string",
        ConnectionType = "string",
        AdditionalOptions = list(
          "string"
        ),
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      CatalogSource = list(
        Name = "string",
        Database = "string",
        Table = "string"
      ),
      RedshiftSource = list(
        Name = "string",
        Database = "string",
        Table = "string",
        RedshiftTmpDir = "string",
        TmpDirIAMRole = "string"
      ),
      S3CatalogSource = list(
        Name = "string",
        Database = "string",
        Table = "string",
        PartitionPredicate = "string",
        AdditionalOptions = list(
          BoundedSize = 123,
          BoundedFiles = 123
        )
      ),
      S3CsvSource = list(
        Name = "string",
        Paths = list(
          "string"
        ),
        CompressionType = "gzip"|"bzip2",
        Exclusions = list(
          "string"
        ),
        GroupSize = "string",
        GroupFiles = "string",
        Recurse = TRUE|FALSE,
        MaxBand = 123,
        MaxFilesInBand = 123,
        AdditionalOptions = list(
          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 = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      S3JsonSource = list(
        Name = "string",
        Paths = list(
          "string"
        ),
        CompressionType = "gzip"|"bzip2",
        Exclusions = list(
          "string"
        ),
        GroupSize = "string",
        GroupFiles = "string",
        Recurse = TRUE|FALSE,
        MaxBand = 123,
        MaxFilesInBand = 123,
        AdditionalOptions = list(
          BoundedSize = 123,
          BoundedFiles = 123,
          EnableSamplePath = TRUE|FALSE,
          SamplePath = "string"
        ),
        JsonPath = "string",
        Multiline = TRUE|FALSE,
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      S3ParquetSource = list(
        Name = "string",
        Paths = list(
          "string"
        ),
        CompressionType = "snappy"|"lzo"|"gzip"|"uncompressed"|"none",
        Exclusions = list(
          "string"
        ),
        GroupSize = "string",
        GroupFiles = "string",
        Recurse = TRUE|FALSE,
        MaxBand = 123,
        MaxFilesInBand = 123,
        AdditionalOptions = list(
          BoundedSize = 123,
          BoundedFiles = 123,
          EnableSamplePath = TRUE|FALSE,
          SamplePath = "string"
        ),
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      RelationalCatalogSource = list(
        Name = "string",
        Database = "string",
        Table = "string"
      ),
      DynamoDBCatalogSource = list(
        Name = "string",
        Database = "string",
        Table = "string"
      ),
      JDBCConnectorTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        ConnectionName = "string",
        ConnectionTable = "string",
        ConnectorName = "string",
        ConnectionType = "string",
        AdditionalOptions = list(
          "string"
        ),
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      SparkConnectorTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        ConnectionName = "string",
        ConnectorName = "string",
        ConnectionType = "string",
        AdditionalOptions = list(
          "string"
        ),
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      CatalogTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        PartitionKeys = list(
          list(
            "string"
          )
        ),
        Database = "string",
        Table = "string"
      ),
      RedshiftTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Database = "string",
        Table = "string",
        RedshiftTmpDir = "string",
        TmpDirIAMRole = "string",
        UpsertRedshiftOptions = list(
          TableLocation = "string",
          ConnectionName = "string",
          UpsertKeys = list(
            "string"
          )
        )
      ),
      S3CatalogTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        PartitionKeys = list(
          list(
            "string"
          )
        ),
        Table = "string",
        Database = "string",
        SchemaChangePolicy = list(
          EnableUpdateCatalog = TRUE|FALSE,
          UpdateBehavior = "UPDATE_IN_DATABASE"|"LOG"
        )
      ),
      S3GlueParquetTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        PartitionKeys = list(
          list(
            "string"
          )
        ),
        Path = "string",
        Compression = "snappy"|"lzo"|"gzip"|"uncompressed"|"none",
        SchemaChangePolicy = list(
          EnableUpdateCatalog = TRUE|FALSE,
          UpdateBehavior = "UPDATE_IN_DATABASE"|"LOG",
          Table = "string",
          Database = "string"
        )
      ),
      S3DirectTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        PartitionKeys = list(
          list(
            "string"
          )
        ),
        Path = "string",
        Compression = "string",
        Format = "json"|"csv"|"avro"|"orc"|"parquet"|"hudi"|"delta",
        SchemaChangePolicy = list(
          EnableUpdateCatalog = TRUE|FALSE,
          UpdateBehavior = "UPDATE_IN_DATABASE"|"LOG",
          Table = "string",
          Database = "string"
        )
      ),
      ApplyMapping = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Mapping = list(
          list(
            ToKey = "string",
            FromPath = list(
              "string"
            ),
            FromType = "string",
            ToType = "string",
            Dropped = TRUE|FALSE,
            Children = list()
          )
        )
      ),
      SelectFields = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Paths = list(
          list(
            "string"
          )
        )
      ),
      DropFields = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Paths = list(
          list(
            "string"
          )
        )
      ),
      RenameField = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        SourcePath = list(
          "string"
        ),
        TargetPath = list(
          "string"
        )
      ),
      Spigot = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Path = "string",
        Topk = 123,
        Prob = 123.0
      ),
      Join = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        JoinType = "equijoin"|"left"|"right"|"outer"|"leftsemi"|"leftanti",
        Columns = list(
          list(
            From = "string",
            Keys = list(
              list(
                "string"
              )
            )
          )
        )
      ),
      SplitFields = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Paths = list(
          list(
            "string"
          )
        )
      ),
      SelectFromCollection = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Index = 123
      ),
      FillMissingValues = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        ImputedPath = "string",
        FilledPath = "string"
      ),
      Filter = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        LogicalOperator = "AND"|"OR",
        Filters = list(
          list(
            Operation = "EQ"|"LT"|"GT"|"LTE"|"GTE"|"REGEX"|"ISNULL",
            Negated = TRUE|FALSE,
            Values = list(
              list(
                Type = "COLUMNEXTRACTED"|"CONSTANT",
                Value = list(
                  "string"
                )
              )
            )
          )
        )
      ),
      CustomCode = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Code = "string",
        ClassName = "string",
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      SparkSQL = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        SqlQuery = "string",
        SqlAliases = list(
          list(
            From = "string",
            Alias = "string"
          )
        ),
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      DirectKinesisSource = list(
        Name = "string",
        WindowSize = 123,
        DetectSchema = TRUE|FALSE,
        StreamingOptions = list(
          EndpointUrl = "string",
          StreamName = "string",
          Classification = "string",
          Delimiter = "string",
          StartingPosition = "latest"|"trim_horizon"|"earliest"|"timestamp",
          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",
          AddRecordTimestamp = "string",
          EmitConsumerLagMetrics = "string",
          StartingTimestamp = as.POSIXct(
            "2015-01-01"
          )
        ),
        DataPreviewOptions = list(
          PollingTime = 123,
          RecordPollingLimit = 123
        )
      ),
      DirectKafkaSource = list(
        Name = "string",
        StreamingOptions = list(
          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,
          IncludeHeaders = TRUE|FALSE,
          AddRecordTimestamp = "string",
          EmitConsumerLagMetrics = "string",
          StartingTimestamp = as.POSIXct(
            "2015-01-01"
          )
        ),
        WindowSize = 123,
        DetectSchema = TRUE|FALSE,
        DataPreviewOptions = list(
          PollingTime = 123,
          RecordPollingLimit = 123
        )
      ),
      CatalogKinesisSource = list(
        Name = "string",
        WindowSize = 123,
        DetectSchema = TRUE|FALSE,
        Table = "string",
        Database = "string",
        StreamingOptions = list(
          EndpointUrl = "string",
          StreamName = "string",
          Classification = "string",
          Delimiter = "string",
          StartingPosition = "latest"|"trim_horizon"|"earliest"|"timestamp",
          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",
          AddRecordTimestamp = "string",
          EmitConsumerLagMetrics = "string",
          StartingTimestamp = as.POSIXct(
            "2015-01-01"
          )
        ),
        DataPreviewOptions = list(
          PollingTime = 123,
          RecordPollingLimit = 123
        )
      ),
      CatalogKafkaSource = list(
        Name = "string",
        WindowSize = 123,
        DetectSchema = TRUE|FALSE,
        Table = "string",
        Database = "string",
        StreamingOptions = list(
          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,
          IncludeHeaders = TRUE|FALSE,
          AddRecordTimestamp = "string",
          EmitConsumerLagMetrics = "string",
          StartingTimestamp = as.POSIXct(
            "2015-01-01"
          )
        ),
        DataPreviewOptions = list(
          PollingTime = 123,
          RecordPollingLimit = 123
        )
      ),
      DropNullFields = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        NullCheckBoxList = list(
          IsEmpty = TRUE|FALSE,
          IsNullString = TRUE|FALSE,
          IsNegOne = TRUE|FALSE
        ),
        NullTextList = list(
          list(
            Value = "string",
            Datatype = list(
              Id = "string",
              Label = "string"
            )
          )
        )
      ),
      Merge = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Source = "string",
        PrimaryKeys = list(
          list(
            "string"
          )
        )
      ),
      Union = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        UnionType = "ALL"|"DISTINCT"
      ),
      PIIDetection = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        PiiType = "RowAudit"|"RowMasking"|"ColumnAudit"|"ColumnMasking",
        EntityTypesToDetect = list(
          "string"
        ),
        OutputColumnName = "string",
        SampleFraction = 123.0,
        ThresholdFraction = 123.0,
        MaskValue = "string"
      ),
      Aggregate = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Groups = list(
          list(
            "string"
          )
        ),
        Aggs = list(
          list(
            Column = list(
              "string"
            ),
            AggFunc = "avg"|"countDistinct"|"count"|"first"|"last"|"kurtosis"|"max"|"min"|"skewness"|"stddev_samp"|"stddev_pop"|"sum"|"sumDistinct"|"var_samp"|"var_pop"
          )
        )
      ),
      DropDuplicates = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Columns = list(
          list(
            "string"
          )
        )
      ),
      GovernedCatalogTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        PartitionKeys = list(
          list(
            "string"
          )
        ),
        Table = "string",
        Database = "string",
        SchemaChangePolicy = list(
          EnableUpdateCatalog = TRUE|FALSE,
          UpdateBehavior = "UPDATE_IN_DATABASE"|"LOG"
        )
      ),
      GovernedCatalogSource = list(
        Name = "string",
        Database = "string",
        Table = "string",
        PartitionPredicate = "string",
        AdditionalOptions = list(
          BoundedSize = 123,
          BoundedFiles = 123
        )
      ),
      MicrosoftSQLServerCatalogSource = list(
        Name = "string",
        Database = "string",
        Table = "string"
      ),
      MySQLCatalogSource = list(
        Name = "string",
        Database = "string",
        Table = "string"
      ),
      OracleSQLCatalogSource = list(
        Name = "string",
        Database = "string",
        Table = "string"
      ),
      PostgreSQLCatalogSource = list(
        Name = "string",
        Database = "string",
        Table = "string"
      ),
      MicrosoftSQLServerCatalogTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Database = "string",
        Table = "string"
      ),
      MySQLCatalogTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Database = "string",
        Table = "string"
      ),
      OracleSQLCatalogTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Database = "string",
        Table = "string"
      ),
      PostgreSQLCatalogTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Database = "string",
        Table = "string"
      ),
      DynamicTransform = list(
        Name = "string",
        TransformName = "string",
        Inputs = list(
          "string"
        ),
        Parameters = list(
          list(
            Name = "string",
            Type = "str"|"int"|"float"|"complex"|"bool"|"list"|"null",
            ValidationRule = "string",
            ValidationMessage = "string",
            Value = list(
              "string"
            ),
            ListType = "str"|"int"|"float"|"complex"|"bool"|"list"|"null",
            IsOptional = TRUE|FALSE
          )
        ),
        FunctionName = "string",
        Path = "string",
        Version = "string",
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      EvaluateDataQuality = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Ruleset = "string",
        Output = "PrimaryInput"|"EvaluationResults",
        PublishingOptions = list(
          EvaluationContext = "string",
          ResultsS3Prefix = "string",
          CloudWatchMetricsEnabled = TRUE|FALSE,
          ResultsPublishingEnabled = TRUE|FALSE
        ),
        StopJobOnFailureOptions = list(
          StopJobOnFailureTiming = "Immediate"|"AfterDataLoad"
        )
      ),
      S3CatalogHudiSource = list(
        Name = "string",
        Database = "string",
        Table = "string",
        AdditionalHudiOptions = list(
          "string"
        ),
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      CatalogHudiSource = list(
        Name = "string",
        Database = "string",
        Table = "string",
        AdditionalHudiOptions = list(
          "string"
        ),
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      S3HudiSource = list(
        Name = "string",
        Paths = list(
          "string"
        ),
        AdditionalHudiOptions = list(
          "string"
        ),
        AdditionalOptions = list(
          BoundedSize = 123,
          BoundedFiles = 123,
          EnableSamplePath = TRUE|FALSE,
          SamplePath = "string"
        ),
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      S3HudiCatalogTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        PartitionKeys = list(
          list(
            "string"
          )
        ),
        Table = "string",
        Database = "string",
        AdditionalOptions = list(
          "string"
        ),
        SchemaChangePolicy = list(
          EnableUpdateCatalog = TRUE|FALSE,
          UpdateBehavior = "UPDATE_IN_DATABASE"|"LOG"
        )
      ),
      S3HudiDirectTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        Path = "string",
        Compression = "gzip"|"lzo"|"uncompressed"|"snappy",
        PartitionKeys = list(
          list(
            "string"
          )
        ),
        Format = "json"|"csv"|"avro"|"orc"|"parquet"|"hudi"|"delta",
        AdditionalOptions = list(
          "string"
        ),
        SchemaChangePolicy = list(
          EnableUpdateCatalog = TRUE|FALSE,
          UpdateBehavior = "UPDATE_IN_DATABASE"|"LOG",
          Table = "string",
          Database = "string"
        )
      ),
      DirectJDBCSource = list(
        Name = "string",
        Database = "string",
        Table = "string",
        ConnectionName = "string",
        ConnectionType = "sqlserver"|"mysql"|"oracle"|"postgresql"|"redshift",
        RedshiftTmpDir = "string"
      ),
      S3CatalogDeltaSource = list(
        Name = "string",
        Database = "string",
        Table = "string",
        AdditionalDeltaOptions = list(
          "string"
        ),
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      CatalogDeltaSource = list(
        Name = "string",
        Database = "string",
        Table = "string",
        AdditionalDeltaOptions = list(
          "string"
        ),
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      S3DeltaSource = list(
        Name = "string",
        Paths = list(
          "string"
        ),
        AdditionalDeltaOptions = list(
          "string"
        ),
        AdditionalOptions = list(
          BoundedSize = 123,
          BoundedFiles = 123,
          EnableSamplePath = TRUE|FALSE,
          SamplePath = "string"
        ),
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      S3DeltaCatalogTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        PartitionKeys = list(
          list(
            "string"
          )
        ),
        Table = "string",
        Database = "string",
        AdditionalOptions = list(
          "string"
        ),
        SchemaChangePolicy = list(
          EnableUpdateCatalog = TRUE|FALSE,
          UpdateBehavior = "UPDATE_IN_DATABASE"|"LOG"
        )
      ),
      S3DeltaDirectTarget = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        PartitionKeys = list(
          list(
            "string"
          )
        ),
        Path = "string",
        Compression = "uncompressed"|"snappy",
        Format = "json"|"csv"|"avro"|"orc"|"parquet"|"hudi"|"delta",
        AdditionalOptions = list(
          "string"
        ),
        SchemaChangePolicy = list(
          EnableUpdateCatalog = TRUE|FALSE,
          UpdateBehavior = "UPDATE_IN_DATABASE"|"LOG",
          Table = "string",
          Database = "string"
        )
      ),
      AmazonRedshiftSource = list(
        Name = "string",
        Data = list(
          AccessType = "string",
          SourceType = "string",
          Connection = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          Schema = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          Table = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          CatalogDatabase = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          CatalogTable = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          CatalogRedshiftSchema = "string",
          CatalogRedshiftTable = "string",
          TempDir = "string",
          IamRole = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          AdvancedOptions = list(
            list(
              Key = "string",
              Value = "string"
            )
          ),
          SampleQuery = "string",
          PreAction = "string",
          PostAction = "string",
          Action = "string",
          TablePrefix = "string",
          Upsert = TRUE|FALSE,
          MergeAction = "string",
          MergeWhenMatched = "string",
          MergeWhenNotMatched = "string",
          MergeClause = "string",
          CrawlerConnection = "string",
          TableSchema = list(
            list(
              Value = "string",
              Label = "string",
              Description = "string"
            )
          ),
          StagingTable = "string",
          SelectedColumns = list(
            list(
              Value = "string",
              Label = "string",
              Description = "string"
            )
          )
        )
      ),
      AmazonRedshiftTarget = list(
        Name = "string",
        Data = list(
          AccessType = "string",
          SourceType = "string",
          Connection = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          Schema = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          Table = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          CatalogDatabase = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          CatalogTable = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          CatalogRedshiftSchema = "string",
          CatalogRedshiftTable = "string",
          TempDir = "string",
          IamRole = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          AdvancedOptions = list(
            list(
              Key = "string",
              Value = "string"
            )
          ),
          SampleQuery = "string",
          PreAction = "string",
          PostAction = "string",
          Action = "string",
          TablePrefix = "string",
          Upsert = TRUE|FALSE,
          MergeAction = "string",
          MergeWhenMatched = "string",
          MergeWhenNotMatched = "string",
          MergeClause = "string",
          CrawlerConnection = "string",
          TableSchema = list(
            list(
              Value = "string",
              Label = "string",
              Description = "string"
            )
          ),
          StagingTable = "string",
          SelectedColumns = list(
            list(
              Value = "string",
              Label = "string",
              Description = "string"
            )
          )
        ),
        Inputs = list(
          "string"
        )
      ),
      EvaluateDataQualityMultiFrame = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        AdditionalDataSources = list(
          "string"
        ),
        Ruleset = "string",
        PublishingOptions = list(
          EvaluationContext = "string",
          ResultsS3Prefix = "string",
          CloudWatchMetricsEnabled = TRUE|FALSE,
          ResultsPublishingEnabled = TRUE|FALSE
        ),
        AdditionalOptions = list(
          "string"
        ),
        StopJobOnFailureOptions = list(
          StopJobOnFailureTiming = "Immediate"|"AfterDataLoad"
        )
      ),
      Recipe = list(
        Name = "string",
        Inputs = list(
          "string"
        ),
        RecipeReference = list(
          RecipeArn = "string",
          RecipeVersion = "string"
        ),
        RecipeSteps = list(
          list(
            Action = list(
              Operation = "string",
              Parameters = list(
                "string"
              )
            ),
            ConditionExpressions = list(
              list(
                Condition = "string",
                Value = "string",
                TargetColumn = "string"
              )
            )
          )
        )
      ),
      SnowflakeSource = list(
        Name = "string",
        Data = list(
          SourceType = "string",
          Connection = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          Schema = "string",
          Table = "string",
          Database = "string",
          TempDir = "string",
          IamRole = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          AdditionalOptions = list(
            "string"
          ),
          SampleQuery = "string",
          PreAction = "string",
          PostAction = "string",
          Action = "string",
          Upsert = TRUE|FALSE,
          MergeAction = "string",
          MergeWhenMatched = "string",
          MergeWhenNotMatched = "string",
          MergeClause = "string",
          StagingTable = "string",
          SelectedColumns = list(
            list(
              Value = "string",
              Label = "string",
              Description = "string"
            )
          ),
          AutoPushdown = TRUE|FALSE,
          TableSchema = list(
            list(
              Value = "string",
              Label = "string",
              Description = "string"
            )
          )
        ),
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      SnowflakeTarget = list(
        Name = "string",
        Data = list(
          SourceType = "string",
          Connection = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          Schema = "string",
          Table = "string",
          Database = "string",
          TempDir = "string",
          IamRole = list(
            Value = "string",
            Label = "string",
            Description = "string"
          ),
          AdditionalOptions = list(
            "string"
          ),
          SampleQuery = "string",
          PreAction = "string",
          PostAction = "string",
          Action = "string",
          Upsert = TRUE|FALSE,
          MergeAction = "string",
          MergeWhenMatched = "string",
          MergeWhenNotMatched = "string",
          MergeClause = "string",
          StagingTable = "string",
          SelectedColumns = list(
            list(
              Value = "string",
              Label = "string",
              Description = "string"
            )
          ),
          AutoPushdown = TRUE|FALSE,
          TableSchema = list(
            list(
              Value = "string",
              Label = "string",
              Description = "string"
            )
          )
        ),
        Inputs = list(
          "string"
        )
      ),
      ConnectorDataSource = list(
        Name = "string",
        ConnectionType = "string",
        Data = list(
          "string"
        ),
        OutputSchemas = list(
          list(
            Columns = list(
              list(
                Name = "string",
                Type = "string"
              )
            )
          )
        )
      ),
      ConnectorDataTarget = list(
        Name = "string",
        ConnectionType = "string",
        Data = list(
          "string"
        ),
        Inputs = list(
          "string"
        )
      )
    )
  ),
  ExecutionClass = "FLEX"|"STANDARD",
  SourceControlDetails = list(
    Provider = "GITHUB"|"GITLAB"|"BITBUCKET"|"AWS_CODE_COMMIT",
    Repository = "string",
    Owner = "string",
    Branch = "string",
    Folder = "string",
    LastCommitId = "string",
    AuthStrategy = "PERSONAL_ACCESS_TOKEN"|"AWS_SECRETS_MANAGER",
    AuthToken = "string"
  ),
  MaintenanceWindow = "string"
)