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This stage is primarily intended to split a parquet file containing a list of items and then to process each individual record one at a time, as sub-jobs on their own pipeline.

This stage takes a job which contains a data stream. It assumes that the data stream represents an parquet file and then process every entry in the file to create sub-job documents.


Parquet Reader
Factory Namecom.searchtechnologies.aspire:aspire-parquet-extractor
subType

default

Inputs

Job containing a data stream (object['contentStream'] which is a stream to the Archive File to process).

OutputsOne subDocument for each entry in the parquet file, submitted as a subjob.

Image RemovedAspire Enterprise

Configuration

Element
Type
Default
Description
debugbooleanfalseShow debug messages

Example Configurations

Code Block
languagexml
themeRDark
<component name="ParquetSubJobExtractor" subType="default" factoryName="aspire-parquet-extractor">
	<debug>${debug}</debug>
	<branches>
		<branch event="onAddUpdateSubJob" pipelineManager="AddUpdatePM" batching="false" />
		<branch event="onErrorSubJob" pipelineManager="ErrorPM" batching="false" />
		<branch event="onDeleteSubJob" pipelineManager="DeletePM" batching="false" />
	</branches>
</component>

Note that you need to configure two pipelines due the branches for "AddUpdate","Delete" and "Error" subjobs. Additional you can add and Extract Text component in order to get the content of every entry.

<component name="AddUpdatePM" subType="pipeline" factoryName="aspire-application">
   <debug>${debug}</debug>
   <gatherStatistics>${debug}</gatherStatistics>
   <pipelines>
      <pipeline name="addUpdatePipeline" default="true">
         <script> 
            <![CDATA[
               .....			
	    ]]>
	 </script>
      </pipeline>
   </pipelines>
</component>

<component name="DeletePM" subType="pipeline" factoryName="aspire-application">
   <debug>${debug}</debug>
   <gatherStatistics>${debug}</gatherStatistics>
   <pipelines>
      <pipeline name="deletePipeline" default="true">
         <script> 
            <![CDATA[
               .....			
	    ]]>
	 </script>
      </pipeline>
   </pipelines>
</component>

<component name="ErrorPM" subType="pipeline" factoryName="aspire-application">
   <debug>${debug}</debug>
   <gatherStatistics>${debug}</gatherStatistics>
   <pipelines>
      <pipeline name="errorPipeline" default="true">
         <script> 
            <![CDATA[
               .....			
	    ]]>
	 </script>
      </pipeline>
   </pipelines>
</component>