data_pipeline – Create and manage AWS Datapipelines

New in version 2.4.

Synopsis

Requirements

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

  • boto

  • boto3

  • python >= 2.6

Parameters

Parameter Choices/Defaults Comments
aws_access_key
string
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
string
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
debug_botocore_endpoint_logs
boolean
added in 2.8
    Choices:
  • no ←
  • yes
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.
description
-
Default:
""
An optional description for the pipeline being created.
ec2_url
string
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.
name
- / required
The name of the Datapipeline to create/modify/delete.
objects
-
A list of pipeline object definitions, each of which is a dict that takes the keys id, name and fields.
fields
-
A list of dicts that take the keys key and stringValue/refValue. The value is specified as a reference to another object refValue or as a string value stringValue but not as both.
id
-
The ID of the object.
name
-
The name of the object.
parameters
-
A list of parameter objects (dicts) in the pipeline definition.
attributes
-
A list of attributes (dicts) of the parameter object. Each attribute takes the keys key and stringValue both of which are strings.
id
-
The ID of the parameter object.
profile
string
Uses a boto profile. Only works with boto >= 2.24.0.
region
string
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
security_token
string
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
-
    Choices:
  • present ←
  • absent
  • active
  • inactive
The requested state of the pipeline.
tags
-
A dict of key:value pair(s) to add to the pipeline.
timeout
-
Default:
300
Time in seconds to wait for the pipeline to transition to the requested state, fail otherwise.
validate_certs
boolean
    Choices:
  • no
  • yes ←
When set to "no", SSL certificates will not be validated for boto versions >= 2.6.0.
values
-
A list of parameter values (dicts) in the pipeline definition. Each dict takes the keys id and stringValue both of which are strings.

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 pipeline
- data_pipeline:
    name: test-dp
    region: us-west-2
    objects: "{{pipelineObjects}}"
    parameters: "{{pipelineParameters}}"
    values: "{{pipelineValues}}"
    tags:
      key1: val1
      key2: val2
    state: present

# Example populating and activating a pipeline that demonstrates two ways of providing pipeline objects
- data_pipeline:
  name: test-dp
  objects:
    - "id": "DefaultSchedule"
      "name": "Every 1 day"
      "fields":
        - "key": "period"
          "stringValue": "1 days"
        - "key": "type"
          "stringValue": "Schedule"
        - "key": "startAt"
          "stringValue": "FIRST_ACTIVATION_DATE_TIME"
    - "id": "Default"
      "name": "Default"
      "fields": [ { "key": "resourceRole", "stringValue": "my_resource_role" },
                  { "key": "role", "stringValue": "DataPipelineDefaultRole" },
                  { "key": "pipelineLogUri", "stringValue": "s3://my_s3_log.txt" },
                  { "key": "scheduleType", "stringValue": "cron" },
                  { "key": "schedule", "refValue": "DefaultSchedule" },
                  { "key": "failureAndRerunMode", "stringValue": "CASCADE" } ]
  state: active

# Activate pipeline
- data_pipeline:
    name: test-dp
    region: us-west-2
    state: active

# Delete pipeline
- data_pipeline:
    name: test-dp
    region: us-west-2
    state: absent

Return Values

Common return values are documented here, the following are the fields unique to this module:

Key Returned Description
changed
boolean
 always
whether the data pipeline has been modified

Sample:
{'changed': True}
result
dictionary
 always
Contains the data pipeline data (data_pipeline) and a return message (msg). If the data pipeline exists data_pipeline will contain the keys description, name, pipeline_id, state, tags, and unique_id. If the data pipeline does not exist then data_pipeline will be an empty dict. The msg describes the status of the operation.


Status

Authors

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