Synopsis
Calls the AWS Glue StartJobRun API operation.
Syntax
Start-GLUEJobRun-JobName <String>-Argument <Hashtable>-JobRunId <String>-MaxCapacity <Double>-NotificationProperty_NotifyDelayAfter <Int32>-NumberOfWorker <Int32>-SecurityConfiguration <String>-Timeout <Int32>-WorkerType <WorkerType>-AllocatedCapacity <Int32>-Force <SwitchParameter>
Description
Starts a job run using a job definition.
Parameters
-AllocatedCapacity <Int32>
This field is deprecated. Use
MaxCapacity instead.The number of AWS Glue data processing units (DPUs) to allocate to this JobRun. From 2 to 100 DPUs can be allocated; 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 AWS Glue pricing page.This parameter is deprecated. | Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
-Argument <Hashtable>
The job arguments specifically for this run. For this job run, they replace the default arguments set in the job definition itself.You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes.For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide.For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.
| Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
| Aliases | Arguments |
-Force <SwitchParameter>
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? | False |
-JobName <String>
The name of the job definition to use.
| Required? | False |
| Position? | 1 |
| Accept pipeline input? | True (ByValue, ) |
-JobRunId <String>
The ID of a previous
JobRun to retry. | Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
-MaxCapacity <Double>
The number of AWS 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 AWS Glue pricing page.Do not set
Max Capacity if using WorkerType and NumberOfWorkers.The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, or an Apache Spark ETL job:- When you specify a Python shell job (
JobCommand.Name="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU. - When you specify an Apache Spark ETL job (
JobCommand.Name="glueetl"), 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? | False |
-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? | False |
-NumberOfWorker <Int32>
The number of workers of a defined
workerType that are allocated when a job runs.The maximum number of workers you can define are 299 for G.1X, and 149 for G.2X. | Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
| Aliases | NumberOfWorkers |
-SecurityConfiguration <String>
The name of the
SecurityConfiguration structure to be used with this job run. | Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
-Timeout <Int32>
The
JobRun 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). This overrides the timeout value set in the parent job. | Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
-WorkerType <WorkerType>
The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.
- For the
Standardworker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker. - For the
G.1Xworker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker. - For the
G.2Xworker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.
| Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
Common Credential and Region Parameters
-AccessKey <String>
The AWS access key for the user account. This can be a temporary access key
if the corresponding session token is supplied to the -SessionToken parameter.
| Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
-Credential <AWSCredentials>
An AWSCredentials object instance containing access and secret key information,
and optionally a token for session-based credentials.
| Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
-ProfileLocation <String>
Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs)
If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. Note that the encrypted credential file is not supported on all platforms. It will be skipped when searching for profiles on Windows Nano Server, Mac, and Linux platforms.
If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given.
As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path.
| Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
-ProfileName <String>
The user-defined name of an AWS credentials or SAML-based role profile containing
credential information. The profile is expected to be found in the secure credential
file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also
specify the name of a profile stored in the .ini-format credential file used with
the AWS CLI and other AWS SDKs.
| Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
-NetworkCredential <PSCredential>
Used with SAML-based authentication when ProfileName references a SAML role profile.
Contains the network credentials to be supplied during authentication with the
configured identity provider's endpoint. This parameter is not required if the
user's default network identity can or should be used during authentication.
| Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
-SecretKey <String>
The AWS secret key for the user account. This can be a temporary secret key
if the corresponding session token is supplied to the -SessionToken parameter.
| Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
-SessionToken <String>
The session token if the access and secret keys are temporary session-based
credentials.
| Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
-Region <String>
The system name of the AWS region in which the operation should be invoked. For example, us-east-1, eu-west-1 etc.
| Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
-EndpointUrl <String>
The endpoint to make the call against.
Note: This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint.
| Required? | False |
| Position? | Named |
| Accept pipeline input? | False |
Inputs
You can pipe a String object to this cmdlet for the JobName parameter.
Outputs
This cmdlet returns a System.String object.
The service call response (type Amazon.Glue.Model.StartJobRunResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.
Related Links
Supported Version
AWS Tools for PowerShell: 2.x.y.z
