Pipeline Executor
Usage
The pipeline executor transform by default sends rows to the child pipeline one by one. This default behavior can be changed in the "Row grouping" tab. Use a Get rows from result transform in the child pipeline to fetch the rows if you’re sending more than one row to the child pipeline.
You can either run the same pipeline for each row by specifying a pipeline name to execute, or accept a pipeline name from an incoming field (from a table for example). You can launch multiple copies of the transform to run in parallel.
Options include mapping the child pipeline’s parameters to fields in your current pipeline. If you enable the "Inherit all variables from pipeline" option, all the variables defined in the parent pipeline are passed to the pipeline.
Output hop connector options: If you select the incorrect output option for the pipeline executor, it may not return the data expect
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This output will contain the execution results: Returns stats on the execution and does not limit fields, variables, or parameters in the output. It’s a good idea to at least check if there have been any issues in one of your child pipelines with the ExecutionResult, ExecutionExitStatus or ExecutionNrErrors fields.
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This output will contain the result rows after execution: Outputs a rowset that was copied to memory by the child pipeline, e.g. with a Copy rows to result transform. Use the "Result rows" tab in the pipeline executor transform to specify which fields you expect to receive from the child pipelines. This option is also required for setting variables downstream and working with the variables upstream if valid in the your scope.
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The output will contain result file names after execution: Outputs a rowset that will contain any filenames that were copied to the results, e.g. with the Add filenames to result in the Content tab of the Text file input^ transform.
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The output will contain a copy of the executor transform’s input data: Outputs the rowset as it was received by the pipeline executor transform.
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Main output of transform: Outputs a rowset that mimics the input for the pipeline executor transform.
Depending on your requirements, the Pipeline Executor transform can be configured to function in any of the following ways:
You can use the input row to set parameters and variables.
The executor transform then passes this row to the pipeline in the form of a result row.
- You can also pass a group of records based on the value in a field, so that when the field value changes dynamically, the specified pipeline is executed.
In these cases, the first row in the group of rows is used to set parameters or variables in the pipeline.
See also:
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The Workflow action that executes a sub-workflow from a workflow.
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The Pipeline action that executes a pipeline from a workflow.
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The Workflow Executor transform that executes a workflow from a pipeline.
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The Loops in Apache Hop how-to guide.
Samples (samples project):
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loops/pipeline-executor.hpl
Options
General
| Option | Description |
|---|---|
Transform name | Name of the transform. |
Pipeline | Use this section to specify the pipeline to execute. You have the following options to specify the pipeline:
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Pipeline from field? | Enable to specify the pipeline file name(s) in a field in the input stream |
Pipeline field | When the previous option is enabled, you can specify the field that will contain the pipeline filename(s) at runtime. The filename may contain variables. NOTE: It must be considered that, by specifying the pipeline file name using this option, we can experience a little performance penalty because the pipeline that will be executed will be initialized at runtime and not during the initialization phase as usual. On the other side this option gives greater flexibility in specifying the pipeline filename dynamically and this could be useful for many use-cases. |
Parameter Tab
In this tab you can specify which field to use to set a certain parameter or variable value. If multiple rows are passed to the workflow, the first row is taken to set the parameters or variables.
| Option | Description |
|---|---|
Variable / Parameter name | The Parameters tab allows you to define or pass Hop variables down to the pipeline. |
Field to use | Specify which field to use to set a certain parameter or variable value. If you specify an input field to use, the static input value is not used. |
Static input value | Instead of a field to use you can specify a static value here. |
| If you leave the "Inherit all variables from pipeline" option checked (it is by default), all the variables defined in the current pipeline are passed to the child pipeline. |
The Get Parameters button in the lower right corner of the tab that will insert all the defined parameters with their description for the specified pipeline.
The Map Parameters button in the lower right corner of the tab lets you map fields in the current pipeline to parameters in the child pipeline.
Row Grouping Tab
On this tab you can specify the amount of input rows that are passed to the pipeline in the form of result rows. You can use the result rows in a Get rows from result transform in a pipeline.
| Option | Description |
|---|---|
The number of rows to send to the pipeline | after every X rows the pipeline will be executed and these X rows will be passed to the pipeline |
Field to group rows on | Rows will be accumulated in a group as long as the field value stays the same. If the value changes the pipeline will be executed and the accumulated rows will be passed to the pipeline. |
The time to wait collecting rows before execution | This is time in Milliseconds the transform will spend accumulating rows prior to the execution of the pipeline. |
Execution Results Tab
You can specify result fields and to which transform to send them. If you don’t need a certain result simply leave a blank input field.
Result Rows Tab
In the "Result rows" tab you can specify the layout of the expected result rows of this pipeline and to which transform to send them after execution.
Please note that this transform will verify that the data type of the result row fields are identical to what is specified. If there is a difference an error will be thrown.