Process & Analyze Zoho Recruit Data in Databricks (AWS)

Databricks is a cloud-based service that provides data processing capabilities through Apache Spark. When paired with the CData JDBC Driver, customers can use Databricks to perform data engineering and data science on live Zoho Recruit data. This article explains how to host the CData JDBC Driver in AWS, as well as connect to and process live Zoho Recruit data in Databricks.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Zoho Recruit data. When you issue complex SQL queries to Zoho Recruit, the driver pushes supported SQL operations, like filters and aggregations, directly to Zoho Recruit and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Zoho Recruit data using native data types.

Install the CData JDBC Driver in Databricks

To work with live Zoho Recruit data in Databricks, install the driver on your Databricks cluster.

1. Navigate to your Databricks administration screen and select the target cluster.
2. On the Libraries tab, click "Install New."
3. Select "Upload" as the Library Source and "Jar" as the Library Type.
4. Upload the JDBC JAR file (cdata.jdbc.api.jar) from the installation location (typically C:\Program Files\CData[product_name]\lib).

Access Zoho Recruit Data in your Notebook: Python

With the JAR file installed, we are ready to work with live Zoho Recruit data in Databricks. Start by creating a new notebook in your workspace. Name the notebook, select Python as the language (though Scala is available as well), and choose the cluster where you installed the JDBC driver. When the notebook launches, we can configure the connection, query Zoho Recruit, and create a basic report.

Configure the Connection to Zoho Recruit

Connect to Zoho Recruit by referencing the JDBC Driver class and constructing a connection string to use in the JDBC URL. Additionally, you will need to set the RTK property in the JDBC URL (unless you are using a Beta driver). You can view the licensing file included in the installation for information on how to set this property.

Step 1: Connection Information

driver = "cdata.jdbc.api.APIDriver"
url = "jdbc:api:RTK=5246...;Profile=C:\profiles\ZohoRecruit.apip;ProfileSettings='Domain=.com';AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;"

Built-in Connection String Designer

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

java -jar cdata.jdbc.api.jar

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

To authenticate to ZohoRecruit, and connect to your own data or to allow other users to connect to their data, you can use the OAuth standard.

Using OAuth Authentication

First, you will need to register an OAuth application with ZohoRecruit. To do so, go to the Zoho Developer Console, add a new Client (Server-based application) and set a valid OAuth redirect URL. Your OAuth application will be assigned a client id and a client secret. Additionally, you will need to set the relevant Domain (.com, .eu, .in, .com.cn, or .jp), which defaults to .com.

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to OAuth.
• InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
• OAuthClientId: Set this to the client_id that is specified in your app settings.
• OAuthClientSecret: Set this to the client_secret that is specified in your app settings.
• CallbackURL: Set this to the Redirect URI that is specified in your app settings.
• Domain: Set this in ProfileSettings to your ZohoRecruit account domain (e.g. .com, .eu, .in, .com.cn, .jp).

Example connection string:

Profile=C:\profiles\ZohoRecruit.apip;ProfileSettings='Domain=.com';AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;

Load Zoho Recruit Data

Once you configure the connection, you can load Zoho Recruit data as a dataframe using the CData JDBC Driver and the connection information.

Step 2: Reading the data

remote_table = spark.read.format ( "jdbc" ) \
	.option ( "driver" , driver) \
	.option ( "url" , url) \
	.option ( "dbtable" , "Attachments") \
	.load ()

Display Zoho Recruit Data

Check the loaded Zoho Recruit data by calling the display function.

Step 3: Checking the result

display (remote_table.select (""))

Analyze Zoho Recruit Data in Databricks

If you want to process data with Databricks SparkSQL, register the loaded data as a Temp View.

Step 4: Create a view or table

remote_table.createOrReplaceTempView ( "SAMPLE_VIEW" )

With the Temp View created, you can use SparkSQL to retrieve the Zoho Recruit data for reporting, visualization, and analysis.

% sql

SELECT ,  FROM SAMPLE_VIEW ORDER BY  DESC LIMIT 5

The data from Zoho Recruit is only available in the target notebook. If you want to use it with other users, save it as a table.

remote_table.write.format ( "parquet" ) .saveAsTable ( "SAMPLE_TABLE" )

Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Zoho Recruit data in Databricks. Reach out to our Support Team if you have any questions.