Excel Spreadsheet Automation with the QUERY Formula



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

The CData Excel Add-In for Hive provides formulas that can edit, save, and delete Hive data. The following three steps show how you can automate the following task: Search Hive 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 Hive data records you want to retrieve or the modifications to be made, written in standard SQL.
  • Connection: Either the connection name, such as ApacheHiveConnection1, or a connection string. The connection string consists of the required properties for connecting to Hive data, separated by semicolons.

    Set the Server, Port, TransportMode, and AuthScheme connection properties to connect to Hive.
  • 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 Hive 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 = '"&B4&"'","Server="&B1&";Port="&B2&";TransportMode="&B3&";Provider=ApacheHive",B5)
  4. Change the filter to change the data.

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Apache Hive Icon Excel Add-In for Apache Hive

The Apache Hive Excel Add-In is a powerful tool that allows you to connect with Apache Hive, directly from Microsoft Excel.

The Add-In maps SQL queries to HiveQL, enabling direct standard SQL-92 access to Apache Hive-compatible distributions. Perfect for mass exports, Excel-based data analysis, and more!