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Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC driver for Salesforce Data Cloud, 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 Salesforce Data Cloud data across any environment.
To load the JDBC Driver:
$ java -jar setup.jar
$ cd ~/cdata-jdbc-driver-for-salesforcedatacloud/lib $ zip genericJDBC.zip cdata.jdbc.salesforcedatacloud.jar cdata.jdbc.salesforcedatacloud.lic
# mv genericJDBC.zip /opt/informatica/services/CatalogService/ScannerBinaries
# 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>
To configure the JDBC resource:
Salesforce Data Cloud supports authentication via the OAuth standard.
Set to OAuth.
CData provides an embedded OAuth application that simplifies authentication at the desktop.
You can also authenticate from the desktop via a custom OAuth application, which you configure and register at the Salesforce Data Cloud console. For further information, see Creating a Custom OAuth App in the Help documentation.
Before you connect, set these properties:
When you connect, the driver opens Salesforce Data Cloud's OAuth endpoint in your default browser. Log in and grant permissions to the application.
The driver then completes the OAuth process as follows:
For other OAuth methods, including Web Applications and Headless Machines, refer to the Help documentation.
For assistance in constructing the JDBC URL, use the connection string designer built into the Salesforce Data Cloud JDBC Driver. Either double-click the .jar file or execute the .jar file from the command-line.
java -jar cdata.jdbc.salesforcedatacloud.jar
Fill in the connection properties and copy the connection string to the clipboard.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)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.salesforcedatacloud.SalesforceDataCloudDriver;URL={jdbc:salesforcedatacloud:InitiateOAuth=GETANDREFRESH;};
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.
π Add a new JDBC resource (Couchbase is shown).Other metadata scanners may be enabled as desired.
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.
π Perform a metadata scan (Couchbase is shown).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.
π Validate the discovered metadata (Couchbase is shown).Download a free trial of the Salesforce Data Cloud Driver to get started:
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π Salesforce Data Cloud IconRapidly create and deploy powerful Java applications that integrate with Salesforce Data Cloud.