How to load Workday data into Elasticsearch via Logstash

Elasticsearch is a popular distributed full-text search engine. By centrally storing data, you can perform ultra-fast searches, fine-tuning relevance, and powerful analytics with ease. Elasticsearch has a pipeline tool for loading data called "Logstash". You can use CData JDBC Drivers to easily import data from any data source into Elasticsearch for search and analysis.

This article explains how to use the CData JDBC Driver for Workday to load data from Workday into Elasticsearch via Logstash.

Using CData JDBC Driver for Workday with Elasticsearch Logstash

• Install the CData JDBC Driver for Workday on the machine where Logstash is running.
• The JDBC Driver will be installed at the following path (the year part, e.g. 20XX, will vary depending on the product version you are using). You will use this path later. Place this .jar file (and the .lic file if it's a licensed version) in Logstash.
  C:\Program Files\CData\CData JDBC Driver for Workday 20XX\lib\cdata.jdbc.workday.jar
  
• Next, install the JDBC Input Plugin, which connects Logstash to the CData JDBC driver. The JDBC Plugin comes by default with the latest version of Logstash, but depending on the version, you may need to add it.
  https://www.elastic.co/guide/en/logstash/5.4/plugins-inputs-jdbc.html
• Move the CData JDBC Driver’s .jar file and .lic file to Logstash's "/logstash-core/lib/jars/".

Sending Workday data to Elasticsearch with Logstash

Now, let's create a configuration file for Logstash to transfer Workday data to Elasticsearch.

• Write the process to retrieve Workday data in the logstash.conf file, which defines data processing in Logstash. The input will be JDBC, and the output will be Elasticsearch. The data loading job is set to run at 30-second intervals.
• Set the CData JDBC Driver's .jar file as the JDBC driver library, configure the class name, and set the connection properties to Workday in the form of a JDBC URL. The JDBC URL allows detailed configuration, so please refer to the product documentation for more specifics.

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.

API	ConnectionType Value
WQL	WQL
Reports as a Service	Reports
REST	REST
SOAP	SOAP




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.

Executing data movement with Logstash

Now let's run Logstash using the created "logstash.conf" file.

A log indicating success will appear. This means the Workday data has been loaded into Elasticsearch.

For example, let's view the data transferred to Elasticsearch in Kibana.

    GET workday_table/_search
    {
        "query": {
            "match_all": {}
        }
    }

We have confirmed that the data is stored in Elasticsearch.

By using the CData JDBC Driver for Workday with Logstash, it functions as a Workday connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.