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The CData ODBC driver for Spark uses the standard ODBC interface to link Spark data with applications like Microsoft Access and Excel. Follow the steps below to use Microsoft Query to import Spark data into a spreadsheet and provide values to a parameterized query from cells in a spreadsheet.
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
Set the Server, Database, User, and Password connection properties to connect to SparkSQL.
You can then work with live Spark data in Excel.
NOTE: In recent versions of Excel, Microsoft Query is not visible by default. To enable visibility, Navigate to Options > Data and check From Microsoft Query (Legacy) under the Show legacy data import wizards section.
π Enabling Microsoft Query (Legacy).To set a parameter in the query, you will need to modify the SQL statement directly. To do this, click the SQL button in the Query Editor. If you set filter criteria earlier, you should have a WHERE clause already in the query.
To use a parameter, use a "?" character as the wildcard character for a field's value in the WHERE clause. For example, if you are importing the Customers, you can set "Country=?".
Click File -> Return Data to Microsoft Excel. The Import Data dialog is displayed. Enter a cell where results should be imported.
π The Import Data dialog.
Download a free trial of the Apache Spark ODBC Driver to get started:
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π Apache Spark IconThe Spark ODBC Driver is a powerful tool that allows you to connect with Apache Spark, directly from any applications that support ODBC connectivity.
The Driver maps SQL to Spark SQL, enabling direct standard SQL-92 access to Apache Spark.