Jobs - Amazon Glue
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Jobs

The Jobs API describes the data types and API related to creating, updating, deleting, or viewing jobs in Amazon Glue.

Data types

Job structure

Specifies a job definition.

Fields
  • Name – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name you assign to this job definition.

  • Description – Description string, not more than 2048 bytes long, matching the URI address multi-line string pattern.

    A description of the job.

  • LogUri – UTF-8 string.

    This field is reserved for future use.

  • Role – UTF-8 string.

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

  • CreatedOn – Timestamp.

    The time and date that this job definition was created.

  • LastModifiedOn – Timestamp.

    The last point in time when this job definition was modified.

  • ExecutionProperty – An ExecutionProperty object.

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

  • Command – A JobCommand object.

    The JobCommand that runs this job.

  • DefaultArguments – A map array of key-value pairs.

    Each key is a UTF-8 string.

    Each value is a UTF-8 string.

    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 Amazon Glue itself consumes.

    Job arguments may be logged. Do not pass plaintext secrets as arguments. Retrieve secrets from a Amazon Glue Connection, Amazon 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 Amazon 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 Amazon 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 – A map array of key-value pairs.

    Each key is a UTF-8 string.

    Each value is a UTF-8 string.

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

  • Connections – A ConnectionsList object.

    The connections used for this job.

  • MaxRetries – Number (integer).

    The maximum number of times to retry this job after a JobRun fails.

  • AllocatedCapacity – Number (integer).

    This field is deprecated. Use MaxCapacity instead.

    The number of Amazon 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 Amazon Glue pricing page.

  • Timeout – Number (integer), at least 1.

    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 – Number (double).

    For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Amazon 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 Amazon Glue pricing page.

    For Glue version 2.0 or later 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.

  • WorkerType – UTF-8 string (valid values: Standard="" | G.1X="" | G.2X="" | G.025X="" | G.4X="" | G.8X="" | Z.2X="").

    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 Amazon Glue version 3.0 or later Spark ETL jobs in the following Amazon 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 Amazon Glue version 3.0 or later Spark ETL jobs, in the same Amazon 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 Amazon 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.

  • NumberOfWorkers – Number (integer).

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

  • SecurityConfiguration – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

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

  • NotificationProperty – A NotificationProperty object.

    Specifies configuration properties of a job notification.

  • Running – Boolean.

    This field is reserved for future use.

  • GlueVersion – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Custom string pattern #15.

    In Spark jobs, GlueVersion determines the versions of Apache Spark and Python that Amazon 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 Amazon 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 – A map array of key-value pairs.

    Each key is a UTF-8 string, matching the Custom string pattern #33.

    Each value is a A CodeGenConfigurationNode object.

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

  • ExecutionClass – UTF-8 string, not more than 16 bytes long (valid values: FLEX="" | STANDARD="").

    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 Amazon 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 – A SourceControlDetails object.

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

  • ProfileName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of an Amazon Glue usage profile associated with the job.

ExecutionProperty structure

An execution property of a job.

Fields
  • MaxConcurrentRuns – Number (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.

NotificationProperty structure

Specifies configuration properties of a notification.

Fields
  • NotifyDelayAfter – Number (integer), at least 1.

    After a job run starts, the number of minutes to wait before sending a job run delay notification.

JobCommand structure

Specifies code that runs when a job is run.

Fields
  • Name – UTF-8 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. For a Ray job, this must be glueray.

  • ScriptLocation – UTF-8 string, not more than 400000 bytes long.

    Specifies the Amazon Simple Storage Service (Amazon S3) path to a script that runs a job.

  • PythonVersion – UTF-8 string, matching the Custom string pattern #16.

    The Python version being used to run a Python shell job. Allowed values are 2 or 3.

  • Runtime – UTF-8 string, not more than 64 bytes long, matching the Custom string pattern #24.

    In Ray jobs, Runtime is used to specify the versions of Ray, Python and additional libraries available in your environment. This field is not used in other job types. For supported runtime environment values, see Supported Ray runtime environments in the Amazon Glue Developer Guide.

ConnectionsList structure

Specifies the connections used by a job.

Fields
  • Connections – An array of UTF-8 strings.

    A list of connections used by the job.

JobUpdate structure

Specifies information used to update an existing job definition. The previous job definition is completely overwritten by this information.

Fields
  • Description – Description string, not more than 2048 bytes long, matching the URI address multi-line string pattern.

    Description of the job being defined.

  • LogUri – UTF-8 string.

    This field is reserved for future use.

  • Role – UTF-8 string.

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

  • ExecutionProperty – An ExecutionProperty object.

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

  • Command – A JobCommand object.

    The JobCommand that runs this job (required).

  • DefaultArguments – A map array of key-value pairs.

    Each key is a UTF-8 string.

    Each value is a UTF-8 string.

    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 Amazon Glue itself consumes.

    Job arguments may be logged. Do not pass plaintext secrets as arguments. Retrieve secrets from a Amazon Glue Connection, Amazon 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 Amazon 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 Amazon 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 – A map array of key-value pairs.

    Each key is a UTF-8 string.

    Each value is a UTF-8 string.

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

  • Connections – A ConnectionsList object.

    The connections used for this job.

  • MaxRetries – Number (integer).

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

  • AllocatedCapacity – Number (integer).

    This field is deprecated. Use MaxCapacity instead.

    The number of Amazon 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 Amazon Glue pricing page.

  • Timeout – Number (integer), at least 1.

    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 – Number (double).

    For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Amazon 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 Amazon 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.

  • WorkerType – UTF-8 string (valid values: Standard="" | G.1X="" | G.2X="" | G.025X="" | G.4X="" | G.8X="" | Z.2X="").

    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 Amazon Glue version 3.0 or later Spark ETL jobs in the following Amazon 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 Amazon Glue version 3.0 or later Spark ETL jobs, in the same Amazon 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 Amazon 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.

  • NumberOfWorkers – Number (integer).

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

  • SecurityConfiguration – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

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

  • NotificationProperty – A NotificationProperty object.

    Specifies the configuration properties of a job notification.

  • GlueVersion – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Custom string pattern #15.

    In Spark jobs, GlueVersion determines the versions of Apache Spark and Python that Amazon 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 Amazon 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 – A map array of key-value pairs.

    Each key is a UTF-8 string, matching the Custom string pattern #33.

    Each value is a A CodeGenConfigurationNode object.

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

  • ExecutionClass – UTF-8 string, not more than 16 bytes long (valid values: FLEX="" | STANDARD="").

    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 Amazon 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 – A SourceControlDetails object.

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

  • ProfileName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of an Amazon Glue usage profile associated with the job.

SourceControlDetails structure

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

Fields
  • Provider – UTF-8 string.

    The provider for the remote repository.

  • Repository – UTF-8 string, not less than 1 or more than 512 bytes long.

    The name of the remote repository that contains the job artifacts.

  • Owner – UTF-8 string, not less than 1 or more than 512 bytes long.

    The owner of the remote repository that contains the job artifacts.

  • Branch – UTF-8 string, not less than 1 or more than 512 bytes long.

    An optional branch in the remote repository.

  • Folder – UTF-8 string, not less than 1 or more than 512 bytes long.

    An optional folder in the remote repository.

  • LastCommitId – UTF-8 string, not less than 1 or more than 512 bytes long.

    The last commit ID for a commit in the remote repository.

  • LastSyncTimestamp – UTF-8 string, not less than 1 or more than 512 bytes long.

    The date and time that the last job synchronization was performed.

  • AuthStrategy – UTF-8 string.

    The type of authentication, which can be an authentication token stored in Amazon Secrets Manager, or a personal access token.

  • AuthToken – UTF-8 string, not less than 1 or more than 512 bytes long.

    The value of an authorization token.

Operations

CreateJob action (Python: create_job)

Creates a new job definition.

Request
  • NameRequired: UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

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

  • Description – Description string, not more than 2048 bytes long, matching the URI address multi-line string pattern.

    Description of the job being defined.

  • LogUri – UTF-8 string.

    This field is reserved for future use.

  • RoleRequired: UTF-8 string.

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

  • ExecutionProperty – An ExecutionProperty object.

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

  • CommandRequired: A JobCommand object.

    The JobCommand that runs this job.

  • DefaultArguments – A map array of key-value pairs.

    Each key is a UTF-8 string.

    Each value is a UTF-8 string.

    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 Amazon Glue itself consumes.

    Job arguments may be logged. Do not pass plaintext secrets as arguments. Retrieve secrets from a Amazon Glue Connection, Amazon 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 Amazon 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 Amazon 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 – A map array of key-value pairs.

    Each key is a UTF-8 string.

    Each value is a UTF-8 string.

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

  • Connections – A ConnectionsList object.

    The connections used for this job.

  • MaxRetries – Number (integer).

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

  • AllocatedCapacity – Number (integer).

    This parameter is deprecated. Use MaxCapacity instead.

    The number of Amazon 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 Amazon Glue pricing page.

  • Timeout – Number (integer), at least 1.

    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 – Number (double).

    For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Amazon 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 Amazon 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 – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

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

  • Tags – A map array of key-value pairs, not more than 50 pairs.

    Each key is a UTF-8 string, not less than 1 or more than 128 bytes long.

    Each value is a UTF-8 string, not more than 256 bytes long.

    The tags to use with this job. You may use tags to limit access to the job. For more information about tags in Amazon Glue, see Amazon Tags in Amazon Glue in the developer guide.

  • NotificationProperty – A NotificationProperty object.

    Specifies configuration properties of a job notification.

  • GlueVersion – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Custom string pattern #15.

    In Spark jobs, GlueVersion determines the versions of Apache Spark and Python that Amazon 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 Amazon 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 – Number (integer).

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

  • WorkerType – UTF-8 string (valid values: Standard="" | G.1X="" | G.2X="" | G.025X="" | G.4X="" | G.8X="" | Z.2X="").

    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 Amazon Glue version 3.0 or later Spark ETL jobs in the following Amazon 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 Amazon Glue version 3.0 or later Spark ETL jobs, in the same Amazon 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 Amazon 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 – A map array of key-value pairs.

    Each key is a UTF-8 string, matching the Custom string pattern #33.

    Each value is a A CodeGenConfigurationNode object.

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

  • ExecutionClass – UTF-8 string, not more than 16 bytes long (valid values: FLEX="" | STANDARD="").

    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 Amazon 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 – A SourceControlDetails object.

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

  • ProfileName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of an Amazon Glue usage profile associated with the job.

Response
  • Name – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The unique name that was provided for this job definition.

Errors
  • InvalidInputException

  • IdempotentParameterMismatchException

  • AlreadyExistsException

  • InternalServiceException

  • OperationTimeoutException

  • ResourceNumberLimitExceededException

  • ConcurrentModificationException

UpdateJob action (Python: update_job)

Updates an existing job definition. The previous job definition is completely overwritten by this information.

Request
  • JobNameRequired: UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of the job definition to update.

  • JobUpdateRequired: A JobUpdate object.

    Specifies the values with which to update the job definition. Unspecified configuration is removed or reset to default values.

  • ProfileName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of an Amazon Glue usage profile associated with the job.

Response
  • JobName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    Returns the name of the updated job definition.

Errors
  • InvalidInputException

  • EntityNotFoundException

  • InternalServiceException

  • OperationTimeoutException

  • ConcurrentModificationException

GetJob action (Python: get_job)

Retrieves an existing job definition.

Request
  • JobNameRequired: UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of the job definition to retrieve.

Response
  • Job – A Job object.

    The requested job definition.

Errors
  • InvalidInputException

  • EntityNotFoundException

  • InternalServiceException

  • OperationTimeoutException

GetJobs action (Python: get_jobs)

Retrieves all current job definitions.

Request
  • NextToken – UTF-8 string.

    A continuation token, if this is a continuation call.

  • MaxResults – Number (integer), not less than 1 or more than 1000.

    The maximum size of the response.

Response
  • Jobs – An array of Job objects.

    A list of job definitions.

  • NextToken – UTF-8 string.

    A continuation token, if not all job definitions have yet been returned.

Errors
  • InvalidInputException

  • EntityNotFoundException

  • InternalServiceException

  • OperationTimeoutException

DeleteJob action (Python: delete_job)

Deletes a specified job definition. If the job definition is not found, no exception is thrown.

Request
  • JobNameRequired: UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of the job definition to delete.

Response
  • JobName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of the job definition that was deleted.

Errors
  • InvalidInputException

  • InternalServiceException

  • OperationTimeoutException

ListJobs action (Python: list_jobs)

Retrieves the names of all job resources in this Amazon account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.

This operation takes the optional Tags field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.

Request
  • NextToken – UTF-8 string.

    A continuation token, if this is a continuation request.

  • MaxResults – Number (integer), not less than 1 or more than 1000.

    The maximum size of a list to return.

  • Tags – A map array of key-value pairs, not more than 50 pairs.

    Each key is a UTF-8 string, not less than 1 or more than 128 bytes long.

    Each value is a UTF-8 string, not more than 256 bytes long.

    Specifies to return only these tagged resources.

Response
  • JobNames – An array of UTF-8 strings.

    The names of all jobs in the account, or the jobs with the specified tags.

  • NextToken – UTF-8 string.

    A continuation token, if the returned list does not contain the last metric available.

Errors
  • InvalidInputException

  • EntityNotFoundException

  • InternalServiceException

  • OperationTimeoutException

BatchGetJobs action (Python: batch_get_jobs)

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.

Request
  • JobNamesRequired: An array of UTF-8 strings.

    A list of job names, which might be the names returned from the ListJobs operation.

Response
  • Jobs – An array of Job objects.

    A list of job definitions.

  • JobsNotFound – An array of UTF-8 strings.

    A list of names of jobs not found.

Errors
  • InternalServiceException

  • OperationTimeoutException

  • InvalidInputException

UpdateSourceControlFromJob action (Python: update_source_control_from_job)

Synchronizes a job to the source control repository. This operation takes the job artifacts from the Amazon 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.

Request
  • JobName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of the Amazon Glue job to be synchronized to or from the remote repository.

  • Provider – UTF-8 string.

    The provider for the remote repository. Possible values: GITHUB, AWS_CODE_COMMIT, GITLAB, BITBUCKET.

  • RepositoryName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of the remote repository that contains the job artifacts. For BitBucket providers, RepositoryName should include WorkspaceName. Use the format <WorkspaceName>/<RepositoryName>.

  • RepositoryOwner – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The owner of the remote repository that contains the job artifacts.

  • BranchName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    An optional branch in the remote repository.

  • Folder – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    An optional folder in the remote repository.

  • CommitId – UTF-8 string, not less than 1 or more than 40 bytes long, matching the Single-line string pattern.

    A commit ID for a commit in the remote repository.

  • AuthStrategy – UTF-8 string.

    The type of authentication, which can be an authentication token stored in Amazon Secrets Manager, or a personal access token.

  • AuthToken – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The value of the authorization token.

Response
  • JobName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of the Amazon Glue job.

Errors
  • AccessDeniedException

  • AlreadyExistsException

  • InvalidInputException

  • ValidationException

  • EntityNotFoundException

  • InternalServiceException

  • OperationTimeoutException

UpdateJobFromSourceControl action (Python: update_job_from_source_control)

Synchronizes a job from the source control repository. This operation takes the job artifacts that are located in the remote repository and updates the Amazon Glue internal stores with these artifacts.

This API supports optional parameters which take in the repository information.

Request
  • JobName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of the Amazon Glue job to be synchronized to or from the remote repository.

  • Provider – UTF-8 string.

    The provider for the remote repository. Possible values: GITHUB, AWS_CODE_COMMIT, GITLAB, BITBUCKET.

  • RepositoryName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of the remote repository that contains the job artifacts. For BitBucket providers, RepositoryName should include WorkspaceName. Use the format <WorkspaceName>/<RepositoryName>.

  • RepositoryOwner – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The owner of the remote repository that contains the job artifacts.

  • BranchName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    An optional branch in the remote repository.

  • Folder – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    An optional folder in the remote repository.

  • CommitId – UTF-8 string, not less than 1 or more than 40 bytes long, matching the Single-line string pattern.

    A commit ID for a commit in the remote repository.

  • AuthStrategy – UTF-8 string.

    The type of authentication, which can be an authentication token stored in Amazon Secrets Manager, or a personal access token.

  • AuthToken – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The value of the authorization token.

Response
  • JobName – UTF-8 string, not less than 1 or more than 255 bytes long, matching the Single-line string pattern.

    The name of the Amazon Glue job.

Errors
  • AccessDeniedException

  • AlreadyExistsException

  • InvalidInputException

  • ValidationException

  • EntityNotFoundException

  • InternalServiceException

  • OperationTimeoutException