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Get the Report →Connect to Amazon Marketplace Data in DigitalSuite Studio through RunMyProcess DSEC
Use Arkobi Digital's low-code cloud native platform RunMyProcess's DigitalSuite EnterpriseConnect (DSEC) to connect to Amazon Marketplace.
The CData JDBC Driver for Amazon Marketplace implements JDBC Standards and enables a applications ranging from BI to IDE to connect with Amazon Marketplace. In this article, we describe how to connect to Amazon Marketplace data from Arkobi Digital RunMyProcess's DSEC and connect to Amazon Marketplace 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.
- Create a JSON entry for the CData JDBC Driver for Amazon Marketplace, e.g.
AmazonMarketplace = { "sqlDriver" : "...", "sqlSource" : "...", "sqlDriverPath" : "..." }
- Set the "sqlDriver" field to the Class name for the CData JDBC Driver, e.g.
cdata.jdbc.amazonmarketplace.AmazonMarketplaceDriver - Set the "sqlSource" field to a JDBC URL for connecting to Amazon Marketplace, e.g.
jdbc:amazonmarketplace:AWS Access Key Id=myAWSAccessKeyId;AWS Secret Key=myAWSSecretKey;MWS Auth Token=myMWSAuthToken;Seller Id=mySellerId;Marketplace=United States;Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Amazon Marketplace JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.amazonmarketplace.jar
Fill in the connection properties and copy the connection string to the clipboard.
To connect to the Amazon Marketplace Webservice (MWS), AWSAccessKeyId, MWSAuthToken, AWSSecretKey and SellerId are required. You can optionally set the Marketplace property. For more information on obtaining values for these properties, refer to the Help documentation.
- Set the "sqlDriverPath" field to the name of the CData JDBC Driver JAR file, e.g.
cdata.jdbc.amazonmarketplace.jar
Sample JDBC.config File
#DBAgent Configuration
AmazonMarketplace = {"sqlDriver" : "cdata.jdbc.amazonmarketplace.AmazonMarketplaceDriver", "sqlSource" = "jdbc:amazonmarketplace:AWS Access Key Id=myAWSAccessKeyId;AWS Secret Key=myAWSSecretKey;MWS Auth Token=myMWSAuthToken;Seller Id=mySellerId;Marketplace=United States;","sqlDriverPath" = "cdata.jdbc.amazonmarketplace.jar" }
Put the JDBC driver JAR file (cdata.jdbc.amazonmarketplace.jar) into the same directory as unified-adapter-[version].jar.
Note: Make sure to put the CData license file (cdata.jdbc.amazonmarketplace.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":"AmazonMarketplace",
"sqlUsername":"",
"sqlPassword":"",
"sqlStatement":"SELECT * FROM Orders"
}
}
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 Amazon Marketplace data in JSON format.
Connect to Amazon Marketplace 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":"AmazonMarketplace",
"sqlUsername":"",
"sqlPassword":"",
"sqlStatement":"SELECT * FROM Orders"
}
}
Open Launch Test to perform the test. The test is successful if Amazon Marketplace data is shown in Result on the right pane.
Now you can use Amazon Marketplace 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.