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Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC driver for JSON, 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 JSON data across any environment.
To load the JDBC Driver:
$ java -jar setup.jar
$ cd ~/cdata-jdbc-driver-for-json/lib $ zip genericJDBC.zip cdata.jdbc.json.jar cdata.jdbc.json.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:
See the Getting Started chapter in the data provider documentation to authenticate to your data source: The data provider models JSON APIs as bidirectional database tables and JSON files as read-only views (local files, files stored on popular cloud services, and FTP servers). The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP. See the Getting Started chapter in the data provider documentation for authentication guides.
After setting the and providing any authentication values, set to more closely match the data representation to the structure of your data.
The property is the controlling property over how your data is represented into tables and toggles the following basic configurations.
See the Modeling JSON Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.
For assistance in constructing the JDBC URL, use the connection string designer built into the JSON JDBC Driver. Either double-click the .jar file or execute the .jar file from the command-line.
java -jar cdata.jdbc.json.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.json.JSONDriver;URL={jdbc:json:URI=C:/people.json;DataModel=Relational;};
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 JSON Driver to get started:
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