ExAws.DataPipeline.Core

AWS Data Pipeline

AWS Data Pipeline configures and manages a data-driven workflow called a pipeline. AWS Data Pipeline handles the details of scheduling and ensuring that data dependencies are met so that your application can focus on processing the data.

AWS Data Pipeline provides a JAR implementation of a task runner called AWS Data Pipeline Task Runner. AWS Data Pipeline Task Runner provides logic for common data management scenarios, such as performing database queries and running data analysis using Amazon Elastic MapReduce (Amazon EMR). You can use AWS Data Pipeline Task Runner as your task runner, or you can write your own task runner to provide custom data management.

AWS Data Pipeline implements two main sets of functionality. Use the first set to create a pipeline and define data sources, schedules, dependencies, and the transforms to be performed on the data. Use the second set in your task runner application to receive the next task ready for processing. The logic for performing the task, such as querying the data, running data analysis, or converting the data from one format to another, is contained within the task runner. The task runner performs the task assigned to it by the web service, reporting progress to the web service as it does so. When the task is done, the task runner reports the final success or failure of the task to the web service.

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Summary

activate_pipeline!(client, input)

Same as activate_pipeline/2 but raise on error

activate_pipeline(client, input)

ActivatePipeline

add_tags!(client, input)

Same as add_tags/2 but raise on error

add_tags(client, input)

AddTags

create_pipeline!(client, input)

Same as create_pipeline/2 but raise on error

create_pipeline(client, input)

CreatePipeline

deactivate_pipeline!(client, input)

Same as deactivate_pipeline/2 but raise on error

deactivate_pipeline(client, input)

DeactivatePipeline

delete_pipeline!(client, input)

Same as delete_pipeline/2 but raise on error

delete_pipeline(client, input)

DeletePipeline

describe_objects!(client, input)

Same as describe_objects/2 but raise on error

describe_objects(client, input)

DescribeObjects

describe_pipelines!(client, input)

Same as describe_pipelines/2 but raise on error

describe_pipelines(client, input)

DescribePipelines

evaluate_expression!(client, input)

Same as evaluate_expression/2 but raise on error

evaluate_expression(client, input)

EvaluateExpression

get_pipeline_definition!(client, input)

Same as get_pipeline_definition/2 but raise on error

get_pipeline_definition(client, input)

GetPipelineDefinition

list_pipelines!(client, input)

Same as list_pipelines/2 but raise on error

list_pipelines(client, input)

ListPipelines

poll_for_task!(client, input)

Same as poll_for_task/2 but raise on error

poll_for_task(client, input)

PollForTask

put_pipeline_definition!(client, input)

Same as put_pipeline_definition/2 but raise on error

put_pipeline_definition(client, input)

PutPipelineDefinition

query_objects!(client, input)

Same as query_objects/2 but raise on error

query_objects(client, input)

QueryObjects

remove_tags!(client, input)

Same as remove_tags/2 but raise on error

remove_tags(client, input)

RemoveTags

report_task_progress!(client, input)

Same as report_task_progress/2 but raise on error

report_task_progress(client, input)

ReportTaskProgress

report_task_runner_heartbeat!(client, input)

Same as report_task_runner_heartbeat/2 but raise on error

report_task_runner_heartbeat(client, input)

ReportTaskRunnerHeartbeat

set_status!(client, input)

Same as set_status/2 but raise on error

set_status(client, input)

SetStatus

set_task_status!(client, input)

Same as set_task_status/2 but raise on error

set_task_status(client, input)

SetTaskStatus

validate_pipeline_definition!(client, input)

Same as validate_pipeline_definition/2 but raise on error

validate_pipeline_definition(client, input)

ValidatePipelineDefinition

Types

tag_key :: binary

set_status_input :: [object_ids: id_list, pipeline_id: id, status: binary]

evaluate_expression_input :: [expression: long_string, object_id: id, pipeline_id: id]

field :: [key: field_name_string, ref_value: field_name_string, string_value: field_string_value]

deactivate_pipeline_input :: [cancel_active: cancel_active, pipeline_id: id]

operator :: [type: operator_type, values: string_list]

validate_pipeline_definition_output :: [errored: boolean, validation_errors: validation_errors, validation_warnings: validation_warnings]

pipeline_object :: [fields: field_list, id: id, name: id]

report_task_runner_heartbeat_output :: [{:terminate, boolean}]

field_string_value :: binary

get_pipeline_definition_output :: [parameter_objects: parameter_object_list, parameter_values: parameter_value_list, pipeline_objects: pipeline_object_list]

query_objects_output :: [has_more_results: boolean, ids: id_list, marker: binary]

activate_pipeline_input :: [parameter_values: parameter_value_list, pipeline_id: id, start_timestamp: timestamp]

id_list :: [id]

field_name_string :: binary

selector :: [field_name: binary, operator: operator]

operator_type :: binary

add_tags_input :: [pipeline_id: id, tags: tag_list]

id :: binary

pipeline_description :: [description: binary, fields: field_list, name: id, pipeline_id: id, tags: tag_list]

poll_for_task_output :: [{:task_object, task_object}]

error_message :: binary

remove_tags_input :: [pipeline_id: id, tag_keys: string_list]

tag :: [key: tag_key, value: tag_value]

set_task_status_input :: [error_id: binary, error_message: error_message, error_stack_trace: binary, task_id: task_id, task_status: task_status]

put_pipeline_definition_output :: [errored: boolean, validation_errors: validation_errors, validation_warnings: validation_warnings]

timestamp :: integer

task_status :: binary

create_pipeline_output :: [{:pipeline_id, id}]

string_list :: [binary]

instance_identity :: [document: binary, signature: binary]

task_object :: [attempt_id: id, objects: pipeline_object_map, pipeline_id: id, task_id: task_id]

query :: [{:selectors, selector_list}]

query_objects_input :: [limit: int, marker: binary, pipeline_id: id, query: query, sphere: binary]

int :: integer

describe_objects_input :: [evaluate_expressions: boolean, marker: binary, object_ids: id_list, pipeline_id: id]

validation_message :: binary

list_pipelines_input :: [{:marker, binary}]

pipeline_id_name :: [id: id, name: id]

poll_for_task_input :: [hostname: id, instance_identity: instance_identity, worker_group: binary]

task_id :: binary

cancel_active :: boolean

describe_pipelines_output :: [{:pipeline_description_list, pipeline_description_list}]

describe_pipelines_input :: [{:pipeline_ids, id_list}]

list_pipelines_output :: [has_more_results: boolean, marker: binary, pipeline_id_list: pipeline_list]

delete_pipeline_input :: [{:pipeline_id, id}]

evaluate_expression_output :: [{:evaluated_expression, long_string}]

tag_value :: binary

long_string :: binary

get_pipeline_definition_input :: [pipeline_id: id, version: binary]

create_pipeline_input :: [description: binary, name: id, tags: tag_list, unique_id: id]

describe_objects_output :: [has_more_results: boolean, marker: binary, pipeline_objects: pipeline_object_list]

report_task_progress_output :: [{:canceled, boolean}]

tag_list :: [tag]

validate_pipeline_definition_input :: [parameter_objects: parameter_object_list, parameter_values: parameter_value_list, pipeline_id: id, pipeline_objects: pipeline_object_list]

put_pipeline_definition_input :: [parameter_objects: parameter_object_list, parameter_values: parameter_value_list, pipeline_id: id, pipeline_objects: pipeline_object_list]

report_task_runner_heartbeat_input :: [hostname: id, taskrunner_id: id, worker_group: binary]

Functions

activate_pipeline(client, input)

Specs:

  • activate_pipeline(client :: ExAws.DataPipeline.t, input :: activate_pipeline_input) :: ExAws.Request.JSON.response_t

ActivatePipeline

Validates the specified pipeline and starts processing pipeline tasks. If the pipeline does not pass validation, activation fails.

If you need to pause the pipeline to investigate an issue with a component, such as a data source or script, call DeactivatePipeline.

To activate a finished pipeline, modify the end date for the pipeline and then activate it.

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activate_pipeline!(client, input)

Specs:

  • activate_pipeline!(client :: ExAws.DataPipeline.t, input :: activate_pipeline_input) :: ExAws.Request.JSON.success_t | no_return

Same as activate_pipeline/2 but raise on error.

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add_tags(client, input)

Specs:

  • add_tags(client :: ExAws.DataPipeline.t, input :: add_tags_input) :: ExAws.Request.JSON.response_t

AddTags

Adds or modifies tags for the specified pipeline.

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add_tags!(client, input)

Specs:

  • add_tags!(client :: ExAws.DataPipeline.t, input :: add_tags_input) :: ExAws.Request.JSON.success_t | no_return

Same as add_tags/2 but raise on error.

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create_pipeline(client, input)

Specs:

  • create_pipeline(client :: ExAws.DataPipeline.t, input :: create_pipeline_input) :: ExAws.Request.JSON.response_t

CreatePipeline

Creates a new, empty pipeline. Use PutPipelineDefinition to populate the pipeline.

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create_pipeline!(client, input)

Specs:

  • create_pipeline!(client :: ExAws.DataPipeline.t, input :: create_pipeline_input) :: ExAws.Request.JSON.success_t | no_return

Same as create_pipeline/2 but raise on error.

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deactivate_pipeline(client, input)

Specs:

DeactivatePipeline

Deactivates the specified running pipeline. The pipeline is set to the DEACTIVATING state until the deactivation process completes.

To resume a deactivated pipeline, use ActivatePipeline. By default, the pipeline resumes from the last completed execution. Optionally, you can specify the date and time to resume the pipeline.

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deactivate_pipeline!(client, input)

Specs:

  • deactivate_pipeline!(client :: ExAws.DataPipeline.t, input :: deactivate_pipeline_input) :: ExAws.Request.JSON.success_t | no_return

Same as deactivate_pipeline/2 but raise on error.

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delete_pipeline(client, input)

Specs:

  • delete_pipeline(client :: ExAws.DataPipeline.t, input :: delete_pipeline_input) :: ExAws.Request.JSON.response_t

DeletePipeline

Deletes a pipeline, its pipeline definition, and its run history. AWS Data Pipeline attempts to cancel instances associated with the pipeline that are currently being processed by task runners.

Deleting a pipeline cannot be undone. You cannot query or restore a deleted pipeline. To temporarily pause a pipeline instead of deleting it, call SetStatus with the status set to PAUSE on individual components. Components that are paused by SetStatus can be resumed.

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delete_pipeline!(client, input)

Specs:

  • delete_pipeline!(client :: ExAws.DataPipeline.t, input :: delete_pipeline_input) :: ExAws.Request.JSON.success_t | no_return

Same as delete_pipeline/2 but raise on error.

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describe_objects(client, input)

Specs:

  • describe_objects(client :: ExAws.DataPipeline.t, input :: describe_objects_input) :: ExAws.Request.JSON.response_t

DescribeObjects

Gets the object definitions for a set of objects associated with the pipeline. Object definitions are composed of a set of fields that define the properties of the object.

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describe_objects!(client, input)

Specs:

  • describe_objects!(client :: ExAws.DataPipeline.t, input :: describe_objects_input) :: ExAws.Request.JSON.success_t | no_return

Same as describe_objects/2 but raise on error.

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describe_pipelines(client, input)

Specs:

  • describe_pipelines(client :: ExAws.DataPipeline.t, input :: describe_pipelines_input) :: ExAws.Request.JSON.response_t

DescribePipelines

Retrieves metadata about one or more pipelines. The information retrieved includes the name of the pipeline, the pipeline identifier, its current state, and the user account that owns the pipeline. Using account credentials, you can retrieve metadata about pipelines that you or your IAM users have created. If you are using an IAM user account, you can retrieve metadata about only those pipelines for which you have read permissions.

To retrieve the full pipeline definition instead of metadata about the pipeline, call GetPipelineDefinition.

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describe_pipelines!(client, input)

Specs:

  • describe_pipelines!(client :: ExAws.DataPipeline.t, input :: describe_pipelines_input) :: ExAws.Request.JSON.success_t | no_return

Same as describe_pipelines/2 but raise on error.

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evaluate_expression(client, input)

Specs:

EvaluateExpression

Task runners call EvaluateExpression to evaluate a string in the context of the specified object. For example, a task runner can evaluate SQL queries stored in Amazon S3.

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evaluate_expression!(client, input)

Specs:

  • evaluate_expression!(client :: ExAws.DataPipeline.t, input :: evaluate_expression_input) :: ExAws.Request.JSON.success_t | no_return

Same as evaluate_expression/2 but raise on error.

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get_pipeline_definition(client, input)

Specs:

GetPipelineDefinition

Gets the definition of the specified pipeline. You can call GetPipelineDefinition to retrieve the pipeline definition that you provided using PutPipelineDefinition.

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get_pipeline_definition!(client, input)

Specs:

Same as get_pipeline_definition/2 but raise on error.

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list_pipelines(client, input)

Specs:

  • list_pipelines(client :: ExAws.DataPipeline.t, input :: list_pipelines_input) :: ExAws.Request.JSON.response_t

ListPipelines

Lists the pipeline identifiers for all active pipelines that you have permission to access.

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list_pipelines!(client, input)

Specs:

  • list_pipelines!(client :: ExAws.DataPipeline.t, input :: list_pipelines_input) :: ExAws.Request.JSON.success_t | no_return

Same as list_pipelines/2 but raise on error.

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poll_for_task(client, input)

Specs:

  • poll_for_task(client :: ExAws.DataPipeline.t, input :: poll_for_task_input) :: ExAws.Request.JSON.response_t

PollForTask

Task runners call PollForTask to receive a task to perform from AWS Data Pipeline. The task runner specifies which tasks it can perform by setting a value for the workerGroup parameter. The task returned can come from any of the pipelines that match the workerGroup value passed in by the task runner and that was launched using the IAM user credentials specified by the task runner.

If tasks are ready in the work queue, PollForTask returns a response immediately. If no tasks are available in the queue, PollForTask uses long-polling and holds on to a poll connection for up to a 90 seconds, during which time the first newly scheduled task is handed to the task runner. To accomodate this, set the socket timeout in your task runner to 90 seconds. The task runner should not call PollForTask again on the same workerGroup until it receives a response, and this can take up to 90 seconds.

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poll_for_task!(client, input)

Specs:

  • poll_for_task!(client :: ExAws.DataPipeline.t, input :: poll_for_task_input) :: ExAws.Request.JSON.success_t | no_return

Same as poll_for_task/2 but raise on error.

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put_pipeline_definition(client, input)

Specs:

PutPipelineDefinition

Adds tasks, schedules, and preconditions to the specified pipeline. You can use PutPipelineDefinition to populate a new pipeline.

PutPipelineDefinition also validates the configuration as it adds it to the pipeline. Changes to the pipeline are saved unless one of the following three validation errors exists in the pipeline.

  • An object is missing a name or identifier field.

  • A string or reference field is empty.

  • The number of objects in the pipeline exceeds the maximum allowed objects.

  • The pipeline is in a FINISHED state.

Pipeline object definitions are passed to the PutPipelineDefinition action and returned by the GetPipelineDefinition action.

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put_pipeline_definition!(client, input)

Specs:

Same as put_pipeline_definition/2 but raise on error.

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query_objects(client, input)

Specs:

  • query_objects(client :: ExAws.DataPipeline.t, input :: query_objects_input) :: ExAws.Request.JSON.response_t

QueryObjects

Queries the specified pipeline for the names of objects that match the specified set of conditions.

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query_objects!(client, input)

Specs:

  • query_objects!(client :: ExAws.DataPipeline.t, input :: query_objects_input) :: ExAws.Request.JSON.success_t | no_return

Same as query_objects/2 but raise on error.

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remove_tags(client, input)

Specs:

  • remove_tags(client :: ExAws.DataPipeline.t, input :: remove_tags_input) :: ExAws.Request.JSON.response_t

RemoveTags

Removes existing tags from the specified pipeline.

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remove_tags!(client, input)

Specs:

  • remove_tags!(client :: ExAws.DataPipeline.t, input :: remove_tags_input) :: ExAws.Request.JSON.success_t | no_return

Same as remove_tags/2 but raise on error.

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report_task_progress(client, input)

Specs:

ReportTaskProgress

Task runners call ReportTaskProgress when assigned a task to acknowledge that it has the task. If the web service does not receive this acknowledgement within 2 minutes, it assigns the task in a subsequent PollForTask call. After this initial acknowledgement, the task runner only needs to report progress every 15 minutes to maintain its ownership of the task. You can change this reporting time from 15 minutes by specifying a reportProgressTimeout field in your pipeline.

If a task runner does not report its status after 5 minutes, AWS Data Pipeline assumes that the task runner is unable to process the task and reassigns the task in a subsequent response to PollForTask. Task runners should call ReportTaskProgress every 60 seconds.

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report_task_progress!(client, input)

Specs:

  • report_task_progress!(client :: ExAws.DataPipeline.t, input :: report_task_progress_input) :: ExAws.Request.JSON.success_t | no_return

Same as report_task_progress/2 but raise on error.

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report_task_runner_heartbeat(client, input)

Specs:

ReportTaskRunnerHeartbeat

Task runners call ReportTaskRunnerHeartbeat every 15 minutes to indicate that they are operational. If the AWS Data Pipeline Task Runner is launched on a resource managed by AWS Data Pipeline, the web service can use this call to detect when the task runner application has failed and restart a new instance.

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report_task_runner_heartbeat!(client, input)

Specs:

Same as report_task_runner_heartbeat/2 but raise on error.

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set_status(client, input)

Specs:

  • set_status(client :: ExAws.DataPipeline.t, input :: set_status_input) :: ExAws.Request.JSON.response_t

SetStatus

Requests that the status of the specified physical or logical pipeline objects be updated in the specified pipeline. This update might not occur immediately, but is eventually consistent. The status that can be set depends on the type of object (for example, DataNode or Activity). You cannot perform this operation on FINISHED pipelines and attempting to do so returns InvalidRequestException.

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set_status!(client, input)

Specs:

  • set_status!(client :: ExAws.DataPipeline.t, input :: set_status_input) :: ExAws.Request.JSON.success_t | no_return

Same as set_status/2 but raise on error.

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set_task_status(client, input)

Specs:

  • set_task_status(client :: ExAws.DataPipeline.t, input :: set_task_status_input) :: ExAws.Request.JSON.response_t

SetTaskStatus

Task runners call SetTaskStatus to notify AWS Data Pipeline that a task is completed and provide information about the final status. A task runner makes this call regardless of whether the task was sucessful. A task runner does not need to call SetTaskStatus for tasks that are canceled by the web service during a call to ReportTaskProgress.

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set_task_status!(client, input)

Specs:

  • set_task_status!(client :: ExAws.DataPipeline.t, input :: set_task_status_input) :: ExAws.Request.JSON.success_t | no_return

Same as set_task_status/2 but raise on error.

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validate_pipeline_definition(client, input)

Specs:

ValidatePipelineDefinition

Validates the specified pipeline definition to ensure that it is well formed and can be run without error.

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validate_pipeline_definition!(client, input)

Specs:

Same as validate_pipeline_definition/2 but raise on error.

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