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Apache Spark Icon Excel Add-In for Apache Spark

The 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!

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Excel Spreadsheet Automation with the QUERY Formula


Pull data, automate spreadsheets, and more with the QUERY formula.

The CData Excel Add-In for Spark provides formulas that can edit, save, and delete Spark data. The following three steps show how you can automate the following task: Search Spark data for a user-specified value and then organize the results into an Excel spreadsheet.

The syntax of the CDATAQUERY formula is the following: =CDATAQUERY(Query, [Connection], [Parameters], [ResultLocation]);

This formula requires three inputs:

  • Query: The declaration of the Spark data records you want to retrieve or the modifications to be made, written in standard SQL.

  • Connection: Either the connection name, such as SparkSQLConnection1, or a connection string. The connection string consists of the required properties for connecting to Spark data, separated by semicolons.

    Set the Server, Database, User, and Password connection properties to connect to SparkSQL.

  • ResultLocation: The cell that the output of results should start from.

Pass Spreadsheet Cells as Inputs to the Query

The procedure below results in a spreadsheet that organizes all the formula inputs in the first column.

  1. Define cells for the formula inputs. In addition to the connection inputs, add another input to define a criterion for a filter to be used to search Spark data, such as Country.
  2. In another cell, write the formula, referencing the cell values from the user input cells defined above. Single quotes are used to enclose values such as addresses that may contain spaces.
    3. =CDATAQUERY("SELECT * FROM Customers WHERE Country = '"&B2&"'","Server="&B1&";Provider=SparkSQL",B3)
  3. Change the filter to change the data.