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Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for Workday, Embulk easily loads data from Workday to any supported destination. In this article, we explain how to use the CData JDBC Driver for Workday in Embulk to load Workday data to a MySQL dtabase.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Workday data. When you issue complex SQL queries to Workday, the driver pushes supported SQL operations, like filters and aggregations, directly to Workday and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
CData provides the easiest way to access and integrate live data from Workday. Customers use CData connectivity to:
Users frequently integrate Workday with analytics tools such as Tableau, Power BI, and Excel, and leverage our tools to replicate Workday data to databases or data warehouses. Access is secured at the user level, based on the authenticated user's identity and role.
For more information on configuring Workday to work with CData, refer to our Knowledge Base articles: Comprehensive Workday Connectivity through Workday WQL and Reports-as-a-Service & Workday + CData: Connection & Integration Best Practices.
Before creating a bulk load job in Embulk, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for Workday\lib).
Embulk supports JDBC connectivity, so you can easily connect to Workday and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with Workday.
To connect to Workday, users need to find the Tenant and BaseURL and then select their API type.
To obtain the BaseURL and Tenant properties, log into Workday and search for "View API Clients." On this screen, you'll find the Workday REST API Endpoint, a URL that includes both the BaseURL and Tenant.
The format of the REST API Endpoint is: https://domain.com/subdirectories/mycompany, where:
The value you use for the ConnectionType property determines which Workday API you use. See our Community Article for more information on Workday connectivity options and best practices.
| API | ConnectionType Value |
|---|---|
| WQL | WQL |
| Reports as a Service | Reports |
| REST | REST |
| SOAP | SOAP |
Your method of authentication depends on which API you are using.
See the Help documentation for more information on configuring OAuth with Workday.
For assistance in constructing the JDBC URL, use the connection string designer built into the Workday JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.workday.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Below is a typical JDBC connection string for Workday:
jdbc:workday:User=myuser;Password=mypassword;Tenant=mycompany_gm1;BaseURL=https://wd3-impl-services1.workday.com;ConnectionType=WQL;InitiateOAuth=GETANDREFRESH;
After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.
embulk gem install embulk-input-jdbc
embulk gem install embulk-output-mysql
With the input and output plugins installed, we are ready to load Workday data into MySQL using Embulk.
Start by creating a config file in Embulk, using a name like workday-mysql.yml.
in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.workday.jar driver_class: cdata.jdbc.workday.WorkdayDriver url: jdbc:workday:User=myuser;Password=mypassword;Tenant=mycompany_gm1;BaseURL=https://wd3-impl-services1.workday.com;ConnectionType=WQL;InitiateOAuth=GETANDREFRESH; table: "Workers" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Workers" mode: insert
After creating the file, run the Embulk job.
embulk run workday-mysql.yml
After running the the Embulk job, find the Salesforce data in the MySQL table.
In addition to loading data directly from a table, you can use a custom SQL query to have more granular control of the data loaded. You can also perform increment loads by setting a last updated column in a SQL WHERE clause in the query field.
in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.workday.jar driver_class: cdata.jdbc.workday.WorkdayDriver url: jdbc:workday:User=myuser;Password=mypassword;Tenant=mycompany_gm1;BaseURL=https://wd3-impl-services1.workday.com;ConnectionType=WQL;InitiateOAuth=GETANDREFRESH; query: "SELECT Worker_Reference_WID, Legal_Name_Last_Name FROM Workers WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Workers" mode: insert
By using CData JDBC Driver for Workday as a connector, Embulk can integrate Workday data into your data load jobs. And with drivers for more than 200+ other enterprise sources, you can integrate any enterprise SaaS, big data, or NoSQL source as well. Download a 30-day free trial and get started today.
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