How to load SingleStore data into Elasticsearch via Logstash



Introducing a simple method to load SingleStore 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 SingleStore to load data from SingleStore into Elasticsearch via Logstash.

Using CData JDBC Driver for SingleStore with Elasticsearch Logstash

  • Install the CData JDBC Driver for SingleStore 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 SingleStore 20XX\lib\cdata.jdbc.singlestore.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 SingleStore data to Elasticsearch with Logstash

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

  • Write the process to retrieve SingleStore 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 SingleStore in the form of a JDBC URL. The JDBC URL allows detailed configuration, so please refer to the product documentation for more specifics.
  • The following connection properties are required in order to connect to data.

    • Server: The host name or IP of the server hosting the SingleStore database.
    • Port: The port of the server hosting the SingleStore database.
    • Database (Optional): The default database to connect to when connecting to the SingleStore Server. If this is not set, tables from all databases will be returned.

    Connect Using Standard Authentication

    To authenticate using standard authentication, set the following:

    • User: The user which will be used to authenticate with the SingleStore server.
    • Password: The password which will be used to authenticate with the SingleStore server.

    Connect Using Integrated Security

    As an alternative to providing the standard username and password, you can set IntegratedSecurity to True to authenticate trusted users to the server via Windows Authentication.

    Connect Using SSL Authentication

    You can leverage SSL authentication to connect to SingleStore data via a secure session. Configure the following connection properties to connect to data:

    • SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
    • SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
    • SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
    • SSLClientCertType: The certificate type of the client store.
    • SSLServerCert: The certificate to be accepted from the server.

    Connect Using SSH Authentication

    Using SSH, you can securely login to a remote machine. To access SingleStore data via SSH, configure the following connection properties:

    • SSHClientCert: Set this to the name of the certificate store for the client certificate.
    • SSHClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
    • SSHClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
    • SSHClientCertType: The certificate type of the client store.
    • SSHPassword: The password that you use to authenticate with the SSH server.
    • SSHPort: The port used for SSH operations.
    • SSHServer: The SSH authentication server you are trying to authenticate against.
    • SSHServerFingerPrint: The SSH Server fingerprint used for verification of the host you are connecting to.
    • SSHUser: Set this to the username that you use to authenticate with the SSH server.

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 SingleStore data has been loaded into Elasticsearch.

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

    GET singlestore_table/_search
    {
        "query": {
            "match_all": {}
        }
    }
Querying the SingleStore data loaded into Elasticsearch

We have confirmed that the data is stored in Elasticsearch.

Confirming the SingleStore data loaded into Elasticsearch

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

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