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Connect to PostgreSQL Data in CloverETL

Transfer PostgreSQL data using the visual workflow in the CloverETL data integration tool.

The CData JDBC Driver for PostgreSQL enables you to use the data transformation components in CloverETL to execute create, read, update, and delete (CRUD) commands to PostgreSQL data. In this article, you will use the JDBC Driver for PostgreSQL to set up a simple transfer into a flat file.

Connect to PostgreSQL as a JDBC Data Source

  1. Create the connection to PostgreSQL data. In a new CloverETL 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.postgresql.jar file.
  3. Enter the JDBC URL. A typical JDBC URL is below: jdbc:postgresql:User=postgres;Password=admin;Database=postgres;Server=127.0.0.1;Port=5432;

    To connect to PostgreSQL, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the data provider connects to the user's default database.

Query PostgreSQL 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 PostgreSQL JDBC data source from the drop-down menu.
  3. Enter the SQL query. For example: SELECT * FROM Orders

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