Add Google Cloud Storage Data to Informatica Enterprise Data Catalog

Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC Driver for Google Cloud Storage, you are gaining access to a driver based on industry-proven standards that integrates seamlessly with Informatica's Enterprise Data Catalog. This tutorial shows how to classify and organize Google Cloud Storage data across any environment.

Load the JDBC Driver

To load the JDBC Driver:

1. Install the JDBC Driver on the host running Informatica. For this article, it is assumed that the driver was installed into cdata.jdbc.googlecloudstorage.GoogleCloudStorageDriver.
$ java -jar setup.jar
2. Navigate to the JDBC install directory and create a zip file called genericJDBC.zip containing the driver and its license file.
$ cd ~/cdata-jdbc-driver-for-googlecloudstorage/lib $ zip genericJDBC.zip cdata.jdbc.googlecloudstorage.jar cdata.jdbc.googlecloudstorage.lic
3. Move the genericJDBC.zip file into the Catalog Service directory within Informatica. For this article, it is assumed that Informatica is installed into /opt/informatica. Working in this folder will probably require root permissions, so make sure to su or sudo to root before continuing.
# mv genericJDBC.zip /opt/informatica/services/CatalogService/ScannerBinaries
4. Edit the custom deployment configuration to unpack the zip file.
# cd /opt/informatica/services/CatalogService/ScannerBinaries/CustomDeployer/ # nano scannerDeployer.xml

After unpacking the existing ExecutionContextProperty nodes, add a new ExecutionContextProperty node with this content.

<ExecutionContextProperty isLocationProperty="true" dependencyToUnpack="genericJDBC.zip"> <PropertyName>JDBCScanner_DriverLocation</PropertyName> <PropertyValue>scanner_miti/genericJDBC/Drivers</PropertyValue> </ExecutionContextProperty>
5. Refresh the Catalog Service from the Admin console.

Configure the JDBC Resource

To configure the JDBC resource:

1. Open the Catalog administrator and add a new JDBC resource with the following properties:
• Driver Class: cdata.jdbc.googlecloudstorage.GoogleCloudStorageDriver
• URL: jdbc.googlecloudstorage:ProjectId='project1';InitiateOAuth=GETANDREFRESH;

Authenticate with a User Account

You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

Authenticate with a Service Account

Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

• InitiateOAuth: Set this to GETANDREFRESH.
• OAuthJWTCertType: Set this to "PFXFILE".
• OAuthJWTCert: Set this to the path to the .p12 file you generated.
• OAuthJWTCertPassword: Set this to the password of the .p12 file.
• OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
• OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
• OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
• ProjectId: Set this to the Id of the project you want to connect to.

The OAuth flow for a service account then completes.

Built-In Connection String Designer

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

java -jar cdata.jdbc.googlecloudstorage.jar

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

When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Typical additional connection string properties follow:

JDBC;MSTR_JDBC_JAR_FOLDER=PATH\TO\JAR\;DRIVER=cdata.jdbc.googlecloudstorage.GoogleCloudStorageDriver;URL={jdbc:googlecloudstorage:ProjectId='project1';};
2. Username: user
3. Password: password

Note that the Username and Password properties are required, even if the driver you are using does not require them. In those cases, you can enter a placeholder value instead.

4. Configure the metadata options to perform at least one source metadata scan. This scan uses the driver to determine what tables, views, and stored procedures are available through the service.
• Source Metadata: Enable this option.
• Catalog: Set this to the appropriate catalog for multi-catalog data sources. Otherwise, set this to CData.
• Schema: Set this to the appropriate schema for multi-schema data sources. Otherwise, set this to the name of the service (for example, Couchbase).
• Case-sensitivity: Generally this option should be disabled. Enable it only for data sources which are case-sensitive.
• Import stored procedures: Enable this if you want to import stored procedure definitions in addition to tables and views.

Other metadata scanners may be enabled as desired.

5. Complete the driver configuration, optionally configuring custom attributes and a scanner schedule.
6. Perform the metadata scan by navigating to the Monitoring tab and clicking Run. Depending upon the data source, this may takes a few minutes.

When the scan is complete, a summary of all of the metadata objects is displayed along with the status of the Metadata Load job. If any errors occur, you can open the Log Location link for the job to see the errors reported by Informatica or the driver.

Validate the Discovered Metadata

Open the Catalog Service browser to view the metadata extracted from the data source. Depending upon the options you selected when configuring the metadata scanner, you may see any combination of tables, views, and stored procedures for the resource you defined.