Add CSV 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 CSV, 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 CSV 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.csv.CSVDriver.

$ 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-csv/lib
$ zip genericJDBC.zip cdata.jdbc.csv.jar cdata.jdbc.csv.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.
👁 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.csv.CSVDriver
• URL: jdbc.csv:URI=/PATH/TO/MyCSVFilesFolder;

Connecting to Local or Cloud-Stored (Box, Google Drive, Amazon S3, SharePoint) CSV Files

CData Drivers let you work with CSV files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.

Setting connection properties for local files

Set the URI property to local folder path.

Setting connection properties for files stored in Amazon S3

To connect to CSV file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended CSV files exist. In addition, at least set these properties:

• AWSAccessKey: AWS Access Key (username)
• AWSSecretKey: AWS Secret Key

Setting connection properties for files stored in Box

To connect to CSV file(s) within Box, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Box.

Dropbox

To connect to CSV file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.

SharePoint Online (SOAP)

To connect to CSV file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. Set User, Password, and StorageBaseURL.

SharePoint Online REST

To connect to CSV file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.

Google Drive

To connect to CSV file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.

Built-In Connection String Designer

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

java -jar cdata.jdbc.csv.jar

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

👁 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.csv.CSVDriver;URL={jdbc:csv:URI=/PATH/TO/MyCSVFilesFolder;};

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.

👁 Add a new JDBC resource (Couchbase is shown).

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.
👁 Configure the source metadata settings (Couchbase is shown).


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.