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Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC driver for MongoDB, 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 MongoDB data across any environment.
Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:
MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.
For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.
To load the JDBC Driver:
$ java -jar setup.jar
$ cd ~/cdata-jdbc-driver-for-mongodb/lib $ zip genericJDBC.zip cdata.jdbc.mongodb.jar cdata.jdbc.mongodb.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:
Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.
For assistance in constructing the JDBC URL, use the connection string designer built into the MongoDB JDBC Driver. Either double-click the .jar file or execute the .jar file from the command-line.
java -jar cdata.jdbc.mongodb.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.mongodb.MongoDBDriver;URL={jdbc:mongodb:Server=MyServer;Port=27017;Database=test;User=test;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.
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 MongoDB Driver to get started:
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