Connect to Tally Data in CloverDX (formerly CloverETL)

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Tally JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Tally.



Transfer Tally data using the visual workflow in the CloverDX data integration tool.

The CData JDBC Driver for Tally enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with Tally as sources. In this article, you will use the JDBC Driver for Tally to set up a simple transfer into a flat file. The CData JDBC Driver for Tally enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with Tally as sources. In this article, you will use the JDBC Driver for Tally to set up a simple transfer into a flat file.

Connect to Tally as a JDBC Data Source

  1. Create the connection to Tally data. In a new CloverDX graph, right-click the Connections node in the Outline pane and click Connections -> Create Connection. The Database Connection wizard is displayed.
  2. Click the plus icon to load a driver from a JAR. Browse to the lib subfolder of the installation directory and select the cdata.jdbc.tally.jar file.
  3. Enter the JDBC URL.

    Set the following connection properties to connect to Tally Instance:

    • Url: Set this to the URL for your Tally instance. For example: http://localhost:9000.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the Tally JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.tally.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    A typical JDBC URL is below:

    jdbc:tally:Url='http://localhost:9000'

Query Tally Data with the DBInputTable Component

  1. Drag a DBInputTable from the Readers selection of the Palette onto the job flow and double-click it to open the configuration editor.
  2. In the DB connection property, select the Tally JDBC data source from the drop-down menu.
  3. Enter the SQL query. For example: SELECT Name, Address FROM Company WHERE CompanyNumber = '1000'

Write the Output of the Query to a UniversalDataWriter

  1. Drag a UniversalDataWriter from the Writers selection onto the jobflow.
  2. Double-click the UniversalDataWriter to open the configuration editor and add a file URL.
  3. Right-click the DBInputTable and then click Extract Metadata.
  4. Connect the output port of the DBInputTable to the UniversalDataWriter.
  5. In the resulting Select Metadata menu for the UniversalDataWriter, choose the Company table. (You can also open this menu by right-clicking the input port for the UniversalDataWriter.)
  6. Click Run to write to the file.