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The CData Excel Add-In for Spark enables you to edit and save Spark data directly from Excel. This article explains how to transfer data from Excel to Spark. This technique is useful if you want to work on Spark data in Excel and update changes, or if you have a whole spreadsheet you want to import into Spark. In this example, you will use the Customers table; however, the same process will work for any table that can be retrieved by the CData Excel Add-In.
If you have not already done so, create a new Spark connection by clicking From Spark on the ribbon.
Set the Server, Database, User, and Password connection properties to connect to SparkSQL.
To insert data into Spark, you will first need to retrieve data from the Spark table you want to add to. This links the Excel spreadsheet to the Spark table selected: After you retrieve data, any changes you make to the data are highlighted in red.
After retrieving data, you can add data from an existing spreadsheet in Excel.
As each row is inserted, the Id value will appear in the Id column and the row's text will change to black, indicating that the record has been inserted.
👁 The changes applied. (QuickBooks is shown.)Download a free trial of the Excel Add-In for Apache Spark to get started:
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👁 Apache Spark IconThe Apache Spark Excel Add-In is a powerful tool that allows you to connect with Apache Spark data, directly from Microsoft Excel.
The Add-In maps SQL queries to Spark SQL, enabling direct standard SQL-92 access to Apache Spark. Perfect for mass exports, Excel-based data analysis, and more!