-AllocatedCapacity <
Int32>
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.This parameter is deprecated.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Amazon.PowerShell.Cmdlets.GLUE.AmazonGlueClientCmdlet.ClientConfig
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | CodeGenConfigurationNodes |
The JobCommand that runs this job.
Required? | True |
Position? | 1 |
Accept pipeline input? | True (ByValue, ByPropertyName) |
A list of connections used by the job. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | Connections_Connections |
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. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | DefaultArguments |
Description of the job being defined.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-ExecutionProperty_MaxConcurrentRun <
Int32>
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.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | ExecutionProperty_MaxConcurrentRuns |
This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
This field is reserved for future use.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The maximum number of times to retry this job if it fails.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | MaxRetries |
The name you assign to this job definition. It must be unique in your account.
Required? | True |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Arguments for this job that are not overridden when providing job arguments in a job run, specified as name-value pairs. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | NonOverridableArguments |
-NotificationProperty_NotifyDelayAfter <
Int32>
After a job run starts, the number of minutes to wait before sending a job run delay notification.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The number of workers of a defined workerType that are allocated when a job runs.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | NumberOfWorkers |
The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
Required? | True |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-SecurityConfiguration <
String>
The name of the SecurityConfiguration structure to be used with this job.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Use the -Select parameter to control the cmdlet output. The default value is 'Name'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.Glue.Model.CreateJobResponse). Specifying the name of a property of type Amazon.Glue.Model.CreateJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The type of authentication, which can be an authentication token stored in Amazon Web Services Secrets Manager, or a personal access token.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-SourceControlDetails_AuthToken <
String>
The value of an authorization token.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-SourceControlDetails_Branch <
String>
An optional branch in the remote repository.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-SourceControlDetails_Folder <
String>
An optional folder in the remote repository.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-SourceControlDetails_LastCommitId <
String>
The last commit ID for a commit in the remote repository.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-SourceControlDetails_Owner <
String>
The owner of the remote repository that contains the job artifacts.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The provider for the remote repository.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-SourceControlDetails_Repository <
String>
The name of the remote repository that contains the job artifacts.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | Tags |
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.Jobs must have timeout values less than 7 days or 10080 minutes. Otherwise, the jobs will throw an exception.When the value is left blank, the timeout is defaulted to 2880 minutes.Any existing Glue jobs that had a timeout value greater than 7 days will be defaulted to 7 days. For instance if you have specified a timeout of 20 days for a batch job, it will be stopped on the 7th day.For streaming jobs, if you have set up a maintenance window, it will be restarted during the maintenance window after 7 days.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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 94GB disk, 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 138GB disk, 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, 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 (N. California), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Spain), Europe (Stockholm), and South America (São Paulo).
- For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk, 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, 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 or later streaming jobs.
- For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk, and provides up to 8 Ray workers based on the autoscaler.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |