Connect to Wave Financial Data in DigitalSuite Studio through RunMyProcess DSEC

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

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

2. Set the "sqlDriver" field to the Class name for the CData JDBC Driver, e.g.
   cdata.jdbc.wavefinancial.WaveFinancialDriver
3. Set the "sqlSource" field to a JDBC URL for connecting to Wave Financial, e.g.
   jdbc:wavefinancial:InitiateOAuth=GETANDREFRESH;

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.wavefinancial.jar
   

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

   Connect using the API Token

   You can connect to Wave Financial by specifying the APIToken You can obtain an API Token using the following steps:

   1. Log in to your Wave account and navigate to "Manage Applications" in the left pane.
   2. Select the application that you would like to create a token for. You may need to create an application first.
   3. Click the "Create token" button to generate an APIToken.

   Connect using OAuth

   If you wish, you can connect using the embedded OAuth credentials. See the Help documentation for more information.

   👁 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.wavefinancial.jar

Sample JDBC.config File

#DBAgent Configuration
WaveFinancial = {"sqlDriver" : "cdata.jdbc.wavefinancial.WaveFinancialDriver", "sqlSource" = "jdbc:wavefinancial:InitiateOAuth=GETANDREFRESH;","sqlDriverPath" = "cdata.jdbc.wavefinancial.jar" }

Put the JDBC driver JAR file (cdata.jdbc.wavefinancial.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.wavefinancial.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":"WaveFinancial",
		"sqlUsername":"",
		"sqlPassword":"",
		"sqlStatement":"SELECT * FROM Invoices"
	}
}

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 Wave Financial data in JSON format.

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Connect to Wave Financial 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":"WaveFinancial",
		"sqlUsername":"",
		"sqlPassword":"",
		"sqlStatement":"SELECT * FROM Invoices"
	}
}

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

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Now you can use Wave Financial 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.