Create Informatica Mappings From/To a JDBC Data Source for BigQuery

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Google BigQuery JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Google BigQuery data including Tables and Datasets.



Create BigQuery data objects in Informatica using the standard JDBC connection process: Copy the JAR and then connect.

Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC Driver for BigQuery, you are gaining access to a driver based on industry-proven standards that integrates seamlessly with Informatica's powerful data transportation and manipulation features. This tutorial shows how to transfer and browse BigQuery data in Informatica PowerCenter.

Deploy the Driver

To deploy the driver to the Informatica PowerCenter server, copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, to the following folder: Informatica-installation-directory\services\shared\jars\thirdparty.

To work with BigQuery data in the Developer tool, you will need to copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, into the following folders:

  • Informatica-installation-directory\client\externaljdbcjars
  • Informatica-installation-directory\externaljdbcjars

Create the JDBC Connection

Follow the steps below to connect from Informatica Developer:

  1. In the Connection Explorer pane, right-click your domain and click Create a Connection.
  2. In the New Database Connection wizard that is displayed, enter a name and Id for the connection and in the Type menu select JDBC.
  3. In the JDBC Driver Class Name property, enter: cdata.jdbc.googlebigquery.GoogleBigQueryDriver
  4. In the Connection String property, enter the JDBC URL, using the connection properties for BigQuery.

    Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.

    OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.

    In addition to the OAuth values, you will need to specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.googlebigquery.jar

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

    A typical connection string is below:

    jdbc:googlebigquery:DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH

Browse BigQuery Tables

After you have added the driver JAR to the classpath and created a JDBC connection, you can now access BigQuery entities in Informatica. Follow the steps below to connect to BigQuery and browse BigQuery tables:

  1. Connect to your repository.
  2. In the Connection Explorer, right-click the connection and click Connect.
  3. Clear the Show Default Schema Only option.

You can now browse BigQuery tables in the Data Viewer: Right-click the node for the table and then click Open. On the Data Viewer view, click Run.

Create BigQuery Data Objects

Follow the steps below to add BigQuery tables to your project:

  1. Select tables in BigQuery, then right-click a table in BigQuery, and click Add to Project.
  2. In the resulting dialog, select the option to create a data object for each resource.
  3. In the Select Location dialog, select your project.

    Create a Mapping

    Follow the steps below to add the BigQuery source to a mapping:

    1. In the Object Explorer, right-click your project and then click New -> Mapping.
    2. Expand the node for the BigQuery connection and then drag the data object for the table onto the editor.
    3. In the dialog that appears, select the Read option.

    Follow the steps below to map BigQuery columns to a flat file:

    1. In the Object Explorer, right-click your project and then click New -> Data Object.
    2. Select Flat File Data Object -> Create as Empty -> Fixed Width.
    3. In the properties for the BigQuery object, select the rows you want, right-click, and then click copy. Paste the rows into the flat file properties.
    4. Drag the flat file data object onto the mapping. In the dialog that appears, select the Write option.
    5. Click and drag to connect columns.

    To transfer BigQuery data, right-click in the workspace and then click Run Mapping.