Documentation

aws_glue_job - Manage an AWS Glue job

New in version 2.6.

Synopsis

Requirements

The below requirements are needed on the host that executes this module.

  • boto
  • boto3
  • python >= 2.6

Parameters

Parameter Choices/Defaults Comments
allocated_capacity
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.
aws_access_key
AWS access key. If not set then the value of the AWS_ACCESS_KEY_ID, AWS_ACCESS_KEY or EC2_ACCESS_KEY environment variable is used.

aliases: ec2_access_key, access_key
aws_secret_key
AWS secret key. If not set then the value of the AWS_SECRET_ACCESS_KEY, AWS_SECRET_KEY, or EC2_SECRET_KEY environment variable is used.

aliases: ec2_secret_key, secret_key
command_name Default:
glueetl
The name of the job command. This must be 'glueetl'.
command_script_location
required
The S3 path to a script that executes a job.
connections
A list of Glue connections used for this job.
default_arguments
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
Description of the job being defined.
ec2_url
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.
max_concurrent_runs
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.
max_retries
The maximum number of times to retry this job if it fails.
name
required
The name you assign to this job definition. It must be unique in your account.
profile
(added in 1.6)
Uses a boto profile. Only works with boto >= 2.24.0.
region
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

aliases: aws_region, ec2_region
role
required
The name or ARN of the IAM role associated with this job.
security_token
(added in 1.6)
AWS STS security token. If not set then the value of the AWS_SECURITY_TOKEN or EC2_SECURITY_TOKEN environment variable is used.

aliases: access_token
state
required
    Choices:
  • present
  • absent
Create or delete the AWS Glue job.
timeout
The job timeout in minutes.
validate_certs
bool

(added in 1.5)
    Choices:
  • no
  • yes ←
When set to "no", SSL certificates will not be validated for boto versions >= 2.6.0.

Notes

Note

  • If parameters are not set within the module, the following environment variables can be used in decreasing order of precedence AWS_URL or EC2_URL, AWS_ACCESS_KEY_ID or AWS_ACCESS_KEY or EC2_ACCESS_KEY, AWS_SECRET_ACCESS_KEY or AWS_SECRET_KEY or EC2_SECRET_KEY, AWS_SECURITY_TOKEN or EC2_SECURITY_TOKEN, AWS_REGION or EC2_REGION
  • Ansible uses the boto configuration file (typically ~/.boto) if no credentials are provided. See https://boto.readthedocs.io/en/latest/boto_config_tut.html
  • AWS_REGION or EC2_REGION can be typically be used to specify the AWS region, when required, but this can also be configured in the boto config file

Examples

# Note: These examples do not set authentication details, see the AWS Guide for details.

# Create an AWS Glue job
- aws_glue_job:
    command_script_location: s3bucket/script.py
    name: my-glue-job
    role: my-iam-role
    state: present

# Delete an AWS Glue job
- 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 Returned Description
allocated_capacity
int
when state is present
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.

Sample:
10
command
complex
when state is present
The JobCommand that executes this job.

  name
string
when state is present
The name of the job command.

Sample:
glueetl
  script_location
string
when state is present
Specifies the S3 path to a script that executes a job.

Sample:
mybucket/myscript.py
connections
dict
when state is present
The connections used for this job.

Sample:
{ Connections: [ 'list', 'of', 'connections' ] }
created_on
string
when state is present
The time and date that this job definition was created.

Sample:
2018-04-21T05:19:58.326000+00:00
default_arguments
dict
when state is present
The default arguments for this job, specified as name-value pairs.

Sample:
{ 'mykey1': 'myvalue1' }
description
string
when state is present
Description of the job being defined.

Sample:
My first Glue job
execution_property
complex
always
An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.

  max_concurrent_runs
int
when state is present
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.

Sample:
1
job_name
string
always
The name of the AWS Glue job.

Sample:
my-glue-job
last_modified_on
string
when state is present
The last point in time when this job definition was modified.

Sample:
2018-04-21T05:19:58.326000+00:00
max_retries
int
when state is present
The maximum number of times to retry this job after a JobRun fails.

Sample:
5
name
string
when state is present
The name assigned to this job definition.

Sample:
my-glue-job
role
string
when state is present
The name or ARN of the IAM role associated with this job.

Sample:
my-iam-role
timeout
int
when state is present
The job timeout in minutes.

Sample:
300


Status

This module is flagged as preview which means that it is not guaranteed to have a backwards compatible interface.

Maintenance

This module is flagged as community which means that it is maintained by the Ansible Community. See Module Maintenance & Support for more info.

For a list of other modules that are also maintained by the Ansible Community, see here.

Author

  • Rob White (@wimnat)

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