data_pipeline - Create and manage AWS Datapipelines¶

# 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