In the Integration perspective of the Studio, create an empty Spark Batch Job from the Job
Designs node in the Repository tree view.
For further information about how to create a Spark Batch Job, see
Talend Big Data Getting Started Guide
.
In the workspace, enter the name of the component to be used and select this
component from the list that appears. In this scenario, the components are
tHDFSConfiguration, two tFixedFlowInput components (label one to customer_base and the other to web_data), tSqlRow, tCacheOut, tCacheIn,
tMap, tExtractDelimitedFields, tAggregateRow, tTop and tLogRow.
The tFixedFlowInput components are used to load
the sample data into the data flow. In the real-world practice, you can use
other components such as tMysqlInput, alone or
even with a tMap, in the place of tFixedFlowInput to design a sophisticated process to
prepare your data to be processed.
Connect customer_base (tFixedFlowInput), tSqlRow and
tCacheOut using the Row >
Main link. In this subJob, the records about the Silver-level
customers are selected and stored in cache.
Connect web_data (tFixedFlowInput) to tMap using
the Row > Main link. This is the main input
flow to the tMap component.
Do the same to connect tCacheIn to tMap. This is the lookup flow to tMap.
Connect tMap to tExtractDelimitedFields using the Row >
Main link and name this connection in the dialog box that is
displayed. For example, name it to output.
Connect tExtractDelimitedFields, tAggregateRow, tTop and
tLogRow using the Row >
Main link.
Connect customer_base to web_data using the Trigger >
OnSubjobOk link.
Leave the tHDFSConfiguration component alone
without any connection.
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