Get all available regions for the AWS Datapipeline service.
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| Returns: | A list of boto.regioninfo.RegionInfo |
This is the AWS Data Pipeline API Reference . This guide provides descriptions and samples of the AWS Data Pipeline API.
AWS Data Pipeline is a web service that 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 your application can focus on processing the data.
The AWS Data Pipeline API implements two main sets of functionality. The first set of actions configure the pipeline in the web service. You call these actions to create a pipeline and define data sources, schedules, dependencies, and the transforms to be performed on the data.
The second set of actions are used by a task runner application that calls the AWS Data Pipeline API 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.
AWS Data Pipeline provides an open-source 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.
The AWS Data Pipeline API uses the Signature Version 4 protocol for signing requests. For more information about how to sign a request with this protocol, see `Signature Version 4 Signing Process`_. In the code examples in this reference, the Signature Version 4 Request parameters are represented as AuthParams.
alias of JSONResponseError
Validates a pipeline and initiates processing. If the pipeline does not pass validation, activation fails.
Call this action to start processing pipeline tasks of a pipeline you’ve created using the CreatePipeline and PutPipelineDefinition actions. A pipeline cannot be modified after it has been successfully activated.
| Parameters: | pipeline_id (string) – The identifier of the pipeline to activate. |
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Creates a new empty pipeline. When this action succeeds, you can then use the PutPipelineDefinition action to populate the pipeline.
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Permanently deletes a pipeline, its pipeline definition and its run history. You cannot query or restore a deleted pipeline. AWS Data Pipeline will attempt to cancel instances associated with the pipeline that are currently being processed by task runners. Deleting a pipeline cannot be undone.
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.
| Parameters: | pipeline_id (string) – The identifier of the pipeline to be deleted. |
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Returns 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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Retrieve 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 you have read permission for.
To retrieve the full pipeline definition instead of metadata about the pipeline, call the GetPipelineDefinition action.
| Parameters: | pipeline_ids (list) – Identifiers of the pipelines to describe. You can pass as many as 25 identifiers in a single call to DescribePipelines. You can obtain pipeline identifiers by calling ListPipelines. |
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Evaluates a string in the context of a specified object. A task runner can use this action to evaluate SQL queries stored in Amazon S3.
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Returns the definition of the specified pipeline. You can call GetPipelineDefinition to retrieve the pipeline definition you provided using PutPipelineDefinition.
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Returns a list of pipeline identifiers for all active pipelines. Identifiers are returned only for pipelines you have permission to access.
| Parameters: | marker (string) – The starting point for the results to be returned. The first time you call ListPipelines, this value should be empty. As long as the action returns HasMoreResults as True, you can call ListPipelines again and pass the marker value from the response to retrieve the next set of results. |
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Task runners call this action 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 of the PollForTask call. The task returned by PollForTask may 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 may take up to 90 seconds.
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Adds tasks, schedules, and preconditions that control the behavior of the pipeline. You can use PutPipelineDefinition to populate a new pipeline or to update an existing pipeline that has not yet been activated.
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.
Pipeline object definitions are passed to the PutPipelineDefinition action and returned by the GetPipelineDefinition action.
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Queries a pipeline for the names of objects that match a specified set of conditions.
The objects returned by QueryObjects are paginated and then filtered by the value you set for query. This means the action may return an empty result set with a value set for marker. If HasMoreResults is set to True, you should continue to call QueryObjects, passing in the returned value for marker, until HasMoreResults returns False.
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Updates the AWS Data Pipeline service on the progress of the calling task runner. When the task runner is assigned a task, it should call ReportTaskProgress to acknowledge that it has the task within 2 minutes. If the web service does not recieve this acknowledgement within the 2 minute window, it will assign 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 will assume that the task runner is unable to process the task and will reassign the task in a subsequent response to PollForTask. task runners should call ReportTaskProgress every 60 seconds.
| Parameters: | task_id (string) – Identifier of the task assigned to the task runner. This value is provided in the TaskObject that the service returns with the response for the PollForTask action. |
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Task runners call ReportTaskRunnerHeartbeat every 15 minutes to indicate that they are operational. In the case of AWS Data Pipeline Task Runner 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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Requests that the status of an array of physical or logical pipeline objects be updated in the pipeline. This update may not occur immediately, but is eventually consistent. The status that can be set depends on the type of object.
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Notifies AWS Data Pipeline that a task is completed and provides information about the final status. The task runner calls this action regardless of whether the task was sucessful. The 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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Tests the pipeline definition with a set of validation checks to ensure that it is well formed and can run without error.
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