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SQL Server databases are commonly used to store enterprise records. It is often necessary to move this data to other locations. The CData SSIS Task for Spark allows you to easily transfer Spark data. In this article you will export data from SQL Server to Spark.
To get started, add a new ADO.NET Source control and a new Spark Destination control to the data flow task.
π The source and destination components used in this example.Follow the steps below to specify properties required to connect to the SQL Server instance.
Follow the steps below to set required connection properties in the Connection Manager.
Set the Server, Database, User, and Password connection properties to connect to SparkSQL.
In the destination component Connection Manager, define mappings from the SQL Server source table into the Spark destination table and the action you want to perform on the Spark data. In this article, you will insert Customers entities to Spark.
You can now run the project. After the SSIS Task has finished executing, data from your SQL table will be exported to the chosen table.
π The SQL Server table to export into Spark.Download a free trial of the Apache Spark SSIS Component to get started:
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π Apache Spark IconPowerful SSIS Components that allows you to easily connect SQL Server with Apache Spark through SSIS Workflows.
Use the Spark Data Flow Components to synchronize with Apache Spark data. Perfect for data synchronization, local back-ups, workflow automation, and more!