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CSV/TSV Files Icon CSV JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with delimited flat-file (CSV/TSV) data.

Connect to CSV Data in Aqua Data Studio



Access CSV data from tools in Aqua Data Studio such as the Visual Query Builder and the Table Data Editor.

The CData JDBC Driver for CSV integrates CSV data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to CSV data through the connection manager and execute queries.

Create a JDBC Data Source

You can use the connection manager to define connection properties and save them in a new JDBC data source. The CSV data source can then be accessed from Aqua Data Studio tools.

  1. In Aqua Data Studio, select Register Server from the Servers menu.
  2. In the Register Server form, select the 'Generic - JDBC' connection.
  3. Enter the following JDBC connection properties:
    • Name: Enter a name for the data source; for example, CSV.
    • Driver Location: Click the Browse button and select the cdata.jdbc.csv.jar file, located in the lib subfolder of the installation directory.
    • Driver: Enter the Driver's class name, cdata.jdbc.csv.CSVDriver.
    • URL: Enter the JDBC URL, which starts with jdbc:csv: and is followed by a semicolon-separated list of connection properties.

      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

You can now query the tables exposed.