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Get the Report →Connect to Databricks Data in DigitalSuite Studio through RunMyProcess DSEC
Use Arkobi Digital's low-code cloud native platform RunMyProcess's DigitalSuite EnterpriseConnect (DSEC) to connect to Databricks.
The CData JDBC Driver for Databricks implements JDBC Standards and enables a applications ranging from BI to IDE to connect with Databricks. In this article, we describe how to connect to Databricks data from Arkobi Digital RunMyProcess's DSEC and connect to Databricks in RunMyProcess.
About Databricks Data Integration
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
- Access all versions of Databricks from Runtime Versions 9.1 - 13.X to both the Pro and Classic Databricks SQL versions.
- Leave Databricks in their preferred environment thanks to compatibility with any hosting solution.
- Secure authenticate in a variety of ways, including personal access token, Azure Service Principal, and Azure AD.
- Upload data to Databricks using Databricks File System, Azure Blog Storage, and AWS S3 Storage.
While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.
Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.
Getting Started
Setting up EnterpriseConnect Agent
Configure the EnterpriseConnect Agent following the EnterpriseConnect page in the RunMyProcess documentation.
Setting up JDBC Adapter
The JDBC Adapter section describes the steps to connect to RDBMS through JDBC. Follow the steps and open the JDBC.config file.
- Create a JSON entry for the CData JDBC Driver for Databricks, e.g.
Databricks = { "sqlDriver" : "...", "sqlSource" : "...", "sqlDriverPath" : "..." }
- Set the "sqlDriver" field to the Class name for the CData JDBC Driver, e.g.
cdata.jdbc.databricks.DatabricksDriver - Set the "sqlSource" field to a JDBC URL for connecting to Databricks, e.g.
jdbc:databricks:Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Databricks JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.databricks.jar
Fill in the connection properties and copy the connection string to the clipboard.
To connect to a Databricks cluster, set the properties as described below.
Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.
- Server: Set to the Server Hostname of your Databricks cluster.
- HTTPPath: Set to the HTTP Path of your Databricks cluster.
- Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).
- Set the "sqlDriverPath" field to the name of the CData JDBC Driver JAR file, e.g.
cdata.jdbc.databricks.jar
Sample JDBC.config File
#DBAgent Configuration
Databricks = {"sqlDriver" : "cdata.jdbc.databricks.DatabricksDriver", "sqlSource" = "jdbc:databricks:Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;","sqlDriverPath" = "cdata.jdbc.databricks.jar" }
Put the JDBC driver JAR file (cdata.jdbc.databricks.jar) into the same directory as unified-adapter-[version].jar.
Note: Make sure to put the CData license file (cdata.jdbc.databricks.lic) into the same directory. Since the license is generated based on the unique identifier of the machine where the product in installed, you will need an offline activation if you want to put the file on another machine.
Starting DigitalSuite EnterpriseConnect Agent
In Windows, start RunMyProcess DigitalSuite EnterpriseConnect Agent in Windows services. To start the application through command line, see Starting the EnterpriseConnect Agent in the RunMyProcess documents.
Starting the JDBC Adapter
Start the JDBC Adapter from runAdapter.bat. Once the Adapter is running, you can access the application through the agent address (e.g. 127.0.0.1:8080). Below is an example executing the command in Windows.
... > java -Djava.util.logging.config.file=./log.properties -cp lib/* org.runmyprocess.sec2.AdapterHandler :
2021-06-09 14:37:58|INFO|correlationId=|Searching for config file...
2021-06-09 14:37:58|INFO|correlationId=|Adapter Handler started with [JDBC] configuration
2021-06-09 14:37:59|INFO|correlationId=|agent address: 127.0.0.1:8080
2021-06-09 14:38:00.251:INFO::ConnectionThread: Logging initialized @1820ms to org.eclipse.jetty.util.log.StdErrLog
2021-06-09 14:38:00|INFO|correlationId=|onConnect() websocket connection between Agent and Adapter established
Once the DigitalSuite EnterpriseConnect Agent and JDBC Adapter are running, access http://localhost:(specified-port-number)/ through your browser to open the page shown below.
Check the availability of the JDBC Adapter using tools such as Postman or cURL. Here, we use Postman to send the HTTP POST request.
Configure the RequestHeader as follows:
Content-Type application/json
Configure the RequestBody as follows:
{
"protocol":"JDBC",
"data":{
"DBType":"Databricks",
"sqlUsername":"",
"sqlPassword":"",
"sqlStatement":"SELECT * FROM Customers"
}
}
If the JDBC.config file contains credential information, sqlUsername and sqlPassword can be left empty. If you are not sure of the table name, you can retrieve the list of tables using the request SELECT * FROM sys_tables
The request is successful if the Status is 200 and the Body contains Databricks data in JSON format.
Connect to Databricks through DSEC Agent in DigitalSuite Studio
Create a DigitalSuite Studio project and then create a Provider in the project.
- URL: The URL for accessing JDBC Agent (e.g. http:localhost:8080/)
- Authentication Scheme: Login/password
- Login: The value from agent.user in the application.properties file
- Password: agent.password in the application.properties file
- Secured: Checked
- Use DigitalSuite EnterpriseConnect: Checked
- With domain: The value from agent.domain in application.properties file
Next, create a Connector in the Provider.
- Connector URL: Leave this empty
- Architecture: REST/XML-RPC
- Method: POST
- Result format: JSON
- Accept media type: application/json
- Character set: Automatic
- Content: Same as the Request body used in the JDBC Adapter
- Content type: application/json
The JSON data we used as the Request body in JDBC Adapter:
{
"protocol":"JDBC",
"data":{
"DBType":"Databricks",
"sqlUsername":"",
"sqlPassword":"",
"sqlStatement":"SELECT * FROM Customers"
}
}
Open Launch Test to perform the test. The test is successful if Databricks data is shown in Result on the right pane.
Now you can use Databricks data in RunMyProcess DigitalSuite Studio through DSEC.
For the detailed information on supported SQL commands, refer to the SQL Compliance section in our help documentation. For information on tables, refer to the Data Model section.