How to load Superchat 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 Superchat to load data from Superchat into Elasticsearch via Logstash.

Using CData JDBC Driver for Superchat with Elasticsearch Logstash

• Install the CData JDBC Driver for Superchat 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 API 20XX\lib\cdata.jdbc.api.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 Superchat data to Elasticsearch with Logstash

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

• Write the process to retrieve Superchat 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 Superchat in the form of a JDBC URL. The JDBC URL allows detailed configuration, so please refer to the product documentation for more specifics.

Superchat uses API Key authentication. The API key is passed via the X-API-KEY request header on every call.

Authentication

To authenticate to Superchat, you need to obtain your API key from the Superchat workspace settings.

Using API Key Authentication

You can obtain your API key from Settings > Integrations > API Key in your Superchat workspace.

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your Superchat API key.

Example connection string:

Profile=C:\profiles\Superchat.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key';

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 Superchat data has been loaded into Elasticsearch.

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

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

We have confirmed that the data is stored in Elasticsearch.

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