Load Workday Data to a Database Using Embulk



Use CData JDBC drivers with the open source ETL/ELT tool Embulk to load Workday data to a database.

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).

About Workday Data Integration

CData provides the easiest way to access and integrate live data from Workday. Customers use CData connectivity to:

  • Access the tables and datasets you create in Prism Analytics Data Catalog, working with the native Workday data hub without compromising the fidelity of your Workday system.
  • Access Workday Reports-as-a-Service to surface data from departmental datasets not available from Prism and datasets larger than Prism allows.
  • Access base data objects with WQL, REST, or SOAP, getting more granular, detailed access but with the potential need for Workday admins or IT to help craft queries.

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.


Getting Started


Configure a JDBC Connection to Workday Data

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.

Obtaining the BaseURL and Tenant

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:

  • https://domain.com/subdirectories/ is the BaseURL.
  • mycompany (the portion of the url after the very last slash) is the Tenant.
For example, in the REST API endpoint https://wd3-impl-services1.workday.com/ccx/api/v1/mycompany, the BaseURL is https://wd3-impl-services1.workday.com and the Tenant is mycompany.

Using ConnectionType to Select the API

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.

APIConnectionType Value
WQLWQL
Reports as a ServiceReports
RESTREST
SOAPSOAP

Authentication

Your method of authentication depends on which API you are using.

  • WQL, Reports as a Service, REST: Use OAuth authentication.
  • SOAP: Use Basic or OAuth authentication.

See the Help documentation for more information on configuring OAuth with Workday.

Built-in Connection String Designer

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.

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

Load Workday Data in Embulk

After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.

Install Embulk Input & Output Plugins

  1. Install the JDBC Input Plugin in Embulk.
    https://github.com/embulk/embulk-input-jdbc/tree/master/embulk-input-jdbc
  2. embulk gem install embulk-input-jdbc
  3. In this article, we use MySQL as the destination database. You can also choose SQL Server, PostgreSQL, or Google BigQuery as the destination using the output Plugins.
    https://github.com/embulk/embulk-output-jdbc/tree/master/embulk-output-mysql embulk gem install embulk-output-mysql

With the input and output plugins installed, we are ready to load Workday data into MySQL using Embulk.

Create a Job to Load Workday Data

Start by creating a config file in Embulk, using a name like workday-mysql.yml.

  1. For the input plugin options, use the CData JDBC Driver for Workday, including the path to the driver JAR file, the driver class (e.g. cdata.jdbc.workday.WorkdayDriver), and the JDBC URL from above
  2. For the output plugin options, use the values and credentials for the MySQL database

Sample Config File (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=REFRESH 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.

Load Filtered Workday Data

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=REFRESH 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

More Information & Free Trial

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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