Design the data flow of the Job working with Azure and Databricks - 7.3

Databricks

EnrichVersion
Cloud
7.3
EnrichProdName
Talend Big Data
Talend Big Data Platform
Talend Data Fabric
Talend Open Studio for Big Data
Talend Real-Time Big Data Platform
EnrichPlatform
Talend Studio
task
Design and Development > Designing Jobs > Hadoop distributions > Databricks
Design and Development > Designing Jobs > Serverless > Databricks

Procedure

  1. In the Integration perspective of the Studio, create an empty Spark Batch Job from the Job Designs node in the Repository tree view.
  2. 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 tAzureFSConfiguration, tFixedFlowInput, tFileOutputParquet, tFileInputParquet and tLogRow.
    The tFixedFlowInput component is used to load the sample data into the data flow. In the real-world practice, you could use the File input components, as well as the processing components, to design a sophisticated process to prepare your data to be processed.
  3. Connect tFixedFlowInput to tFileOutputParquet using the Row > Main link.
  4. Connect tFileInputParquet to tLogRow using the Row > Main link.
  5. Connect tFixedFlowInput to tFileInputParquet using the Trigger > OnSubjobOk link.
  6. Leave tAzureFSConfiguration alone without any connection.