Connect to Pipeline CRM Data in DigitalSuite Studio through RunMyProcess DSEC

The CData JDBC Driver for Pipeline CRM implements JDBC Standards and enables a applications ranging from BI to IDE to connect with Pipeline CRM. In this article, we describe how to connect to Pipeline CRM data from Arkobi Digital RunMyProcess's DSEC and connect to Pipeline CRM in RunMyProcess.

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.

1. Create a JSON entry for the CData JDBC Driver for Pipeline CRM, e.g.

   API = {
    "sqlDriver" : "...",
    "sqlSource" : "...",
    "sqlDriverPath" : "..."
   }
   

2. Set the "sqlDriver" field to the Class name for the CData JDBC Driver, e.g.
   cdata.jdbc.api.APIDriver
3. Set the "sqlSource" field to a JDBC URL for connecting to Pipeline CRM, e.g.
   jdbc:api:Profile=C:\profiles\Pipeline.apip;ProfileSettings='APIKey=your_api_key;APPKey=your_app_key';

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the Pipeline CRM 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.

   Start by setting the Profile connection property to the location of the Pipeline CRM Profile on disk (e.g. C:\profiles\Pipeline.apip). Next, set the ProfileSettings connection property to the connection string for Pipeline CRM (see below).

   Pipeline CRM API Profile Settings

   Retrieve your API Key via Account Settings > Pipeline API > Enable API Access > New API Key, and generate an APP Key at https://app.pipelinecrm.com/admin/modern/api by creating a new Integration.

   👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
   
4. Set the "sqlDriverPath" field to the name of the CData JDBC Driver JAR file, e.g.
   cdata.jdbc.api.jar

Sample JDBC.config File

#DBAgent Configuration
API = {"sqlDriver" : "cdata.jdbc.api.APIDriver", "sqlSource" = "jdbc:api:Profile=C:\profiles\Pipeline.apip;ProfileSettings='APIKey=your_api_key;APPKey=your_app_key';","sqlDriverPath" = "cdata.jdbc.api.jar" }

Put the JDBC driver JAR file (cdata.jdbc.api.jar) into the same directory as unified-adapter-[version].jar.

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Note: Make sure to put the CData license file (cdata.jdbc.api.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.

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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":"API",
		"sqlUsername":"",
		"sqlPassword":"",
		"sqlStatement":"SELECT * FROM AccountNotifications"
	}
}

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 Pipeline CRM data in JSON format.

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Connect to Pipeline CRM 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

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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

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The JSON data we used as the Request body in JDBC Adapter:

{
	"protocol":"JDBC",
	"data":{
		"DBType":"API",
		"sqlUsername":"",
		"sqlPassword":"",
		"sqlStatement":"SELECT * FROM AccountNotifications"
	}
}

Open Launch Test to perform the test. The test is successful if Pipeline CRM data is shown in Result on the right pane.

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Now you can use Pipeline CRM 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.