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Leverage existing skills by using the JDBC standard to read and write to Jira Service Management: Through drop-in integration into ETL tools like Oracle Data Integrator (ODI), the CData JDBC Driver for Jira Service Management connects real-time Jira Service Management data to your data warehouse, business intelligence, and Big Data technologies.
JDBC connectivity enables you to work with Jira Service Management just as you would any other database in ODI. As with an RDBMS, you can use the driver to connect directly to the Jira Service Management APIs in real time instead of working with flat files.
This article covers a JDBC-based ETL -- Jira Service Management to Oracle. After reverse engineering a data model of Jira Service Management entities, you will create a mapping and select a data loading strategy -- since the driver supports SQL-92, this last step can easily be accomplished by selecting the built-in SQL to SQL Loading Knowledge Module.
To install the driver, copy the driver JAR (cdata.jdbc.jiraservicedesk.jar) and .lic file (cdata.jdbc.jiraservicedesk.lic), located in the installation folder, into the ODI appropriate directory:
Restart ODI to complete the installation.
Reverse engineering the model retrieves metadata about the driver's relational view of Jira Service Management data. After reverse engineering, you can query real-time Jira Service Management data and create mappings based on Jira Service Management tables.
You can establish a connection to any Jira Service Desk Cloud account or Server instance.
To connect to a Cloud account, you'll first need to retrieve an APIToken. To generate one, log in to your Atlassian account and navigate to API tokens > Create API token. The generated token will be displayed.
Supply the following to connect to data:
To authenticate with a service account, supply the following connection properties:
Note: Password has been deprecated for connecting to a Cloud Account and is now used only to connect to a Server Instance.
By default, the connector only surfaces system fields. To access the custom fields for Issues, set IncludeCustomFields.
For assistance in constructing the JDBC URL, use the connection string designer built into the Jira Service Management JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.jiraservicedesk.jar
Fill in the connection properties and copy the connection string to the clipboard.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Below is a typical connection string:
jdbc:jiraservicedesk:ApiKey=myApiKey;User=MyUser;InitiateOAuth=GETANDREFRESH;
After reverse engineering you can now work with Jira Service Management data in ODI.
To edit and save Jira Service Management data, expand the Models accordion in the Designer navigator, right-click a table, and click Data. Click Refresh to pick up any changes to the data. Click Save Changes when you are finished making changes.
π Viewing the data.
Follow the steps below to create an ETL from Jira Service Management. You will load Requests entities into the sample data warehouse included in the ODI Getting Started VM.
Open SQL Developer and connect to your Oracle database. Right-click the node for your database in the Connections pane and click new SQL Worksheet.
Alternatively you can use SQLPlus. From a command prompt enter the following:
sqlplus / as sysdba
CREATE TABLE ODI_DEMO.TRG_REQUESTS (REPORTERNAME NUMBER(20,0),RequestId VARCHAR2(255));
You can then run the mapping to load Jira Service Management data into Oracle.
Download a free trial of the Jira Service Management Driver to get started:
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