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Get the Report →How to load Zendesk data into Elasticsearch via Logstash
Introducing a simple method to load Zendesk data using the ETL module Logstash of the full-text search service Elasticsearch and the CData JDBC driver.
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 Zendesk to load data from Zendesk into Elasticsearch via Logstash.
Using CData JDBC Driver for Zendesk with Elasticsearch Logstash
- Install the CData JDBC Driver for Zendesk on the machine where Logstash is running.
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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 Zendesk 20XX\lib\cdata.jdbc.zendesk.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 Zendesk data to Elasticsearch with Logstash
Now, let's create a configuration file for Logstash to transfer Zendesk data to Elasticsearch.
- Write the process to retrieve Zendesk 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 Zendesk in the form of a JDBC URL. The JDBC URL allows detailed configuration, so please refer to the product documentation for more specifics.
- Enable password access in the Zendesk Support admin interface at Admin > Channels > API.
- Manage API tokens in the Zendesk Support Admin interface at Admin > Channels > API. More than one token can be active at the same time. Deleting a token deactivates it permanently.
Connecting to Zendesk
To connect, set the URL and provide authentication. The URL is your Zendesk Support URL: https://{subdomain}.zendesk.com.
Authenticating to Zendesk
You can authenticate using the Basic or OAuth methods.
Using Basic Authentication
To use Basic authentication, specify your email address and password or your email address and an API token. Set User to your email address and follow the steps below to provide the Password or ApiToken.
Using OAuth Authentication
See the Getting Started guide in the CData driver documentation for an authentication guide.
Executing data movement with Logstash
Now let's run Logstash using the created "logstash.conf" file.
logstash-7.8.0\bin\logstash -f logstash.conf
A log indicating success will appear. This means the Zendesk data has been loaded into Elasticsearch.
For example, let's view the data transferred to Elasticsearch in Kibana.
GET zendesk_table/_search { "query": { "match_all": {} } }
We have confirmed that the data is stored in Elasticsearch.
By using the CData JDBC Driver for Zendesk with Logstash, it functions as a Zendesk connector, making it easy to load data into Elasticsearch. Please try the 30-day free trial.