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 Streaming 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, tMongoDBConfiguration, tFixedFlowInput, tMongoDBOutput,
tMongoDBLookupInput, tMap and tLogRow.
The tFixedFlowInput components are used to
load the data about movies into the data flow. In the real-world practice, you
can use other components such as tFileInputDelimited instead to design a sophisticated process to
prepare your data to be processed.
Connect tFixedFlowInput to tMap using the Row >
Main link.
This way, the main flow to tMap is created.
The movie information is sent via this flow.
Connect tMongoDBLookupInput to tMap using the Row >
Main link.
This way, the lookup flow to tMap is created.
The movie director information is sent via this flow.
Connect tMap to tMongoDBOutput using the Row > Main
link and name this connection in the dialog box that is displayed. For example,
name it to out1.
Do the same to connect tMap to tLogRow and name this connection to reject.
Leave tHDFSConfiguration and tMongoDBConfiguration alone without any
connection.
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