Connect to CSV Data in CloverDX (formerly CloverETL)

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

Connect to CSV as a JDBC Data Source

1. Create the connection to CSV 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.csv.jar file.
3. Enter the JDBC URL.

   The DataSource property must be set to a valid local folder name.

   Also, specify the IncludeFiles property to work with text files having extensions that differ from .csv, .tab, or .txt. Specify multiple file extensions in a comma-separated list. You can also set Extended Properties compatible with the Microsoft Jet OLE DB 4.0 driver. Alternatively, you can provide the format of text files in a Schema.ini file.

   Set UseRowNumbers to true if you are deleting or updating in CSV. This will create a new column with the name RowNumber which will be used as key for that table.

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.csv.jar

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

   A typical JDBC URL is below:

   jdbc:csv:DataSource=MyCSVFilesFolder;

Query CSV 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 CSV JDBC data source from the drop-down menu.
3. Enter the SQL query. For example: SELECT City, SUM(TotalDue) FROM Customer GROUP BY City

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 Customer table. (You can also open this menu by right-clicking the input port for the UniversalDataWriter.)
6. Click Run to write to the file.