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Informatica で、Google Spanner にJDBC データソースとして連携

標準のJDBC 接続プロセスを使用してInformatica にGoogle Spanner データオブジェクトを作成します。JAR をコピーしてから接続します。

Informatica は、データを転送および変換するための強力で洗練された手段を提供します。CData JDBC Driver for Google Spanner を使用することで、Informatica の強力なデータ転送および操作機能とシームレスに統合されている業界で実証済みの標準に基づくドライバーにアクセスできます。このチュートリアルでは、Informatica PowerCenter でGoogle Spanner data を転送および参照する方法を説明します。

ドライバーのデプロイ

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 Google Spanner 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

JDBC 接続を作成

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.googlespanner.GoogleSpannerDriver
  4. In the Connection String property, enter the JDBC URL, using the connection properties for Google Spanner.

    Google Spanner uses the OAuth authentication standard. To authenticate using OAuth, you can use the embedded credentials or register an app with Google.

    See the Getting Started guide in the CData driver documentation for more information.

    ビルトイン接続文字列デザイナー

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

    java -jar cdata.jdbc.googlespanner.jar

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

    A typical connection string is below:

    jdbc:googlespanner:ProjectId='project1';InstanceId='instance1';Database='db1';InitiateOAuth=GETANDREFRESH

Google Spanner テーブルを閲覧

After you have added the driver JAR to the classpath and created a JDBC connection, you can now access Google Spanner entities in Informatica.Follow the steps below to connect to Google Spanner and browse Google Spanner 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 Google Spanner tables in the Data Viewer:Right-click the node for the table and then click Open.On the Data Viewer view, click Run.

Google Spanner データオブジェクトを作成

Follow the steps below to add Google Spanner tables to your project:

  1. Select tables in Google Spanner, then right-click a table in Google Spanner, 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.

    マッピングを作成

    Follow the steps below to add the Google Spanner source to a mapping:

    1. In the Object Explorer, right-click your project and then click New -> Mapping.
    2. Expand the node for the Google Spanner 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 Google Spanner 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 Google Spanner 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 Google Spanner data, right-click in the workspace and then click Run Mapping.

 
 
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