Excel Spreadsheet Automation with the QUERY Formula



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

The CData Excel Add-In for Cassandra provides formulas that can edit, save, and delete Cassandra data. The following three steps show how you can automate the following task: Search Cassandra 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 Cassandra data records you want to retrieve or the modifications to be made, written in standard SQL.
  • Connection: Either the connection name, such as CassandraConnection1, or a connection string. The connection string consists of the required properties for connecting to Cassandra data, separated by semicolons.

    Set the Server, Port, and Database connection properties to connect to Cassandra. Additionally, to use internal authentication set the User and Password connection properties.

  • 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 Cassandra data, such as FirstName.
  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 Customer WHERE FirstName = '"&B4&"'","Database="&B1&";Port="&B2&";Server="&B3&";Provider=Cassandra",B5)
  4. Change the filter to change the data.

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Apache Cassandra Icon Excel Add-In for Cassandra

The Apache Cassandra Excel Add-In is a powerful tool that allows you to connect with live Apache Cassandra NoSQL Database Service, directly from Microsoft Excel.

Use Excel to read, write, and update Apache Cassandra data. Perfect for mass imports / exports / updates, data cleansing & de-duplication, Excel based data analysis, and more!