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.
datapipeline()| activate_pipeline | Validates the specified pipeline and starts processing pipeline tasks |
| add_tags | Adds or modifies tags for the specified pipeline |
| create_pipeline | Creates a new, empty pipeline |
| deactivate_pipeline | Deactivates the specified running pipeline |
| delete_pipeline | Deletes a pipeline, its pipeline definition, and its run history |
| describe_objects | Gets the object definitions for a set of objects associated with the pipeline |
| describe_pipelines | Retrieves metadata about one or more pipelines |
| evaluate_expression | Task runners call EvaluateExpression to evaluate a string in the context of the specified object |
| get_pipeline_definition | Gets the definition of the specified pipeline |
| list_pipelines | Lists the pipeline identifiers for all active pipelines that you have permission to access |
| poll_for_task | Task runners call PollForTask to receive a task to perform from AWS Data Pipeline |
| put_pipeline_definition | Adds tasks, schedules, and preconditions to the specified pipeline |
| query_objects | Queries the specified pipeline for the names of objects that match the specified set of conditions |
| remove_tags | Removes existing tags from the specified pipeline |
| report_task_progress | Task runners call ReportTaskProgress when assigned a task to acknowledge that it has the task |
| report_task_runner_heartbeat | Task runners call ReportTaskRunnerHeartbeat every 15 minutes to indicate that they are operational |
| set_status | Requests that the status of the specified physical or logical pipeline objects be updated in the specified pipeline |
| set_task_status | Task runners call SetTaskStatus to notify AWS Data Pipeline that a task is completed and provide information about the final status |
# NOT RUN {
svc <- datapipeline()
svc$activate_pipeline(
Foo = 123
)
# }
# NOT RUN {
# }
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