community.aws.aws_glue_job module – Manage an AWS Glue job
Note
This module is part of the community.aws collection (version 2.6.1).
You might already have this collection installed if you are using the ansible
package.
It is not included in ansible-core
.
To check whether it is installed, run ansible-galaxy collection list
.
To install it, use: ansible-galaxy collection install community.aws
.
To use it in a playbook, specify: community.aws.aws_glue_job
.
New in version 1.0.0: of community.aws
Synopsis
Manage an AWS Glue job. See https://aws.amazon.com/glue/ for details.
Requirements
The below requirements are needed on the host that executes this module.
python >= 3.6
boto3 >= 1.15.0
botocore >= 1.18.0
Parameters
Parameter |
Comments |
---|---|
The number of AWS Glue data processing units (DPUs) to allocate to this Job. 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. |
|
If profile is set this parameter is ignored. Passing the aws_access_key and profile options at the same time has been deprecated and the options will be made mutually exclusive after 2022-06-01. |
|
The location of a CA Bundle to use when validating SSL certificates. Not used by boto 2 based modules. Note: The CA Bundle is read ‘module’ side and may need to be explicitly copied from the controller if not run locally. |
|
A dictionary to modify the botocore configuration. Parameters can be found at https://botocore.amazonaws.com/v1/documentation/api/latest/reference/config.html#botocore.config.Config. Only the ‘user_agent’ key is used for boto modules. See http://boto.cloudhackers.com/en/latest/boto_config_tut.html#boto for more boto configuration. |
|
If profile is set this parameter is ignored. Passing the aws_secret_key and profile options at the same time has been deprecated and the options will be made mutually exclusive after 2022-06-01. |
|
The name of the job command. This must be ‘glueetl’. Default: “glueetl” |
|
The S3 path to a script that executes a job. Required when state=present. |
|
A list of Glue connections used for this job. |
|
Use a botocore.endpoint logger to parse the unique (rather than total) “resource:action” API calls made during a task, outputing the set to the resource_actions key in the task results. Use the aws_resource_action callback to output to total list made during a playbook. The ANSIBLE_DEBUG_BOTOCORE_LOGS environment variable may also be used. Choices:
|
|
A dict of default arguments for this job. You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes. |
|
Description of the job being defined. |
|
URL to use to connect to EC2 or your Eucalyptus cloud (by default the module will use EC2 endpoints). Ignored for modules where region is required. Must be specified for all other modules if region is not used. If not set then the value of the EC2_URL environment variable, if any, is used. |
|
Glue version determines the versions of Apache Spark and Python that AWS Glue supports. |
|
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. |
|
The maximum number of times to retry this job if it fails. |
|
The name you assign to this job definition. It must be unique in your account. |
|
The number of workers of a defined workerType that are allocated when a job runs. |
|
Using profile will override aws_access_key, aws_secret_key and security_token and support for passing them at the same time as profile has been deprecated. aws_access_key, aws_secret_key and security_token will be made mutually exclusive with profile after 2022-06-01. |
|
The AWS region to use. If not specified then the value of the AWS_REGION or EC2_REGION environment variable, if any, is used. See http://docs.aws.amazon.com/general/latest/gr/rande.html#ec2_region |
|
The name or ARN of the IAM role associated with this job. Required when state=present. |
|
If profile is set this parameter is ignored. Passing the security_token and profile options at the same time has been deprecated and the options will be made mutually exclusive after 2022-06-01. |
|
Create or delete the AWS Glue job. Choices:
|
|
The job timeout in minutes. |
|
When set to “no”, SSL certificates will not be validated for communication with the AWS APIs. Choices:
|
|
The type of predefined worker that is allocated when a job runs. Choices:
|
Notes
Note
If parameters are not set within the module, the following environment variables can be used in decreasing order of precedence
AWS_URL
orEC2_URL
,AWS_PROFILE
orAWS_DEFAULT_PROFILE
,AWS_ACCESS_KEY_ID
orAWS_ACCESS_KEY
orEC2_ACCESS_KEY
,AWS_SECRET_ACCESS_KEY
orAWS_SECRET_KEY
orEC2_SECRET_KEY
,AWS_SECURITY_TOKEN
orEC2_SECURITY_TOKEN
,AWS_REGION
orEC2_REGION
,AWS_CA_BUNDLE
When no credentials are explicitly provided the AWS SDK (boto3) that Ansible uses will fall back to its configuration files (typically
~/.aws/credentials
). See https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html for more information.Modules based on the original AWS SDK (boto) may read their default configuration from different files. See https://boto.readthedocs.io/en/latest/boto_config_tut.html for more information.
AWS_REGION
orEC2_REGION
can be typically be used to specify the AWS region, when required, but this can also be defined in the configuration files.
Examples
# Note: These examples do not set authentication details, see the AWS Guide for details.
# Create an AWS Glue job
- community.aws.aws_glue_job:
command_script_location: s3bucket/script.py
name: my-glue-job
role: my-iam-role
state: present
# Delete an AWS Glue job
- community.aws.aws_glue_job:
name: my-glue-job
state: absent
Return Values
Common return values are documented here, the following are the fields unique to this module:
Key |
Description |
---|---|
The number of AWS Glue data processing units (DPUs) allocated to runs of this job. 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. Returned: when state is present Sample: 10 |
|
The JobCommand that executes this job. Returned: when state is present |
|
The name of the job command. Returned: when state is present Sample: “glueetl” |
|
Specifies the S3 path to a script that executes a job. Returned: when state is present Sample: “mybucket/myscript.py” |
|
The connections used for this job. Returned: when state is present Sample: “{ Connections: [ \u0027list\u0027, \u0027of\u0027, \u0027connections\u0027 ] }” |
|
The time and date that this job definition was created. Returned: when state is present Sample: “2018-04-21T05:19:58.326000+00:00” |
|
The default arguments for this job, specified as name-value pairs. Returned: when state is present Sample: “{ \u0027mykey1\u0027: \u0027myvalue1\u0027 }” |
|
Description of the job being defined. Returned: when state is present Sample: “My first Glue job” |
|
An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job. Returned: always |
|
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. Returned: when state is present Sample: 1 |
|
The name of the AWS Glue job. Returned: always Sample: “my-glue-job” |
|
The last point in time when this job definition was modified. Returned: when state is present Sample: “2018-04-21T05:19:58.326000+00:00” |
|
The maximum number of times to retry this job after a JobRun fails. Returned: when state is present Sample: 5 |
|
The name assigned to this job definition. Returned: when state is present Sample: “my-glue-job” |
|
The name or ARN of the IAM role associated with this job. Returned: when state is present Sample: “my-iam-role” |
|
The job timeout in minutes. Returned: when state is present Sample: 300 |
Authors
Rob White (@wimnat)
Vijayanand Sharma (@vijayanandsharma)