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

Using CData JDBC Driver for Phoenix with Elasticsearch Logstash

• Install the CData JDBC Driver for Phoenix 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 ApachePhoenix 20XX\lib\cdata.jdbc.apachephoenix.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 Phoenix data to Elasticsearch with Logstash

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

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

Connect to Apache Phoenix via the Phoenix Query Server. Set the Server and Port (if different from the default port) properties to connect to Apache Phoenix. The Server property will typically be the host name or IP address of the server hosting Apache Phoenix.

Authenticating to Apache Phoenix

By default, no authentication will be used (plain). If authentication is configured for your server, set AuthScheme to NEGOTIATE and set the User and Password properties (if necessary) to authenticate through Kerberos.

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 Phoenix data has been loaded into Elasticsearch.

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

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

We have confirmed that the data is stored in Elasticsearch.

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