Access Elasticsearch Data from MySQL in HeidiSQL

HeidiSQL is an open-source database administration tool that natively supports MariaDB, MySQL, SQL Server, and PostgreSQL. When paired with the CData ODBC Driver for Elasticsearch and SQL Gateway, HediSQL's reach extends to include access to live Elasticsearch data. This article demonstrates how to connect to on-premise Elasticsearch and query Elasticsearch data in HeidiSQL.

Getting Started

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Connect to Elasticsearch Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

Set the Server and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.

The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.

Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to Elasticsearch data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.

To connect to the SQL Gateway from HeidiSQL, you will need to run the SQL Gateway on a web-facing machine. After configuring the SQL Gateway, make note of the following information:

• The IP address or domain name of the machine hosting the SQL Gateway
• The data source name (likely CData Elasticsearch Sys) of the MySQL service
• The port number of the MySQL service
• The credentials of a SQL Gateway user with access to the service

Configure Remote Access

If your ODBC Driver and the remoting service are installed on-premise (and not accessible from HeidiSQL), you can use the reverse SSH tunneling feature to enable remote access. For detailed instructions, read our Knowledge Base article: SQL Gateway SSH Tunneling Capabilities.

Connect to Elasticsearch in HeidiSQL

Once you have a MySQL Service configured for the CData ODBC Driver for Elasticsearch, you are ready to connect to the data in HeidiSQL. Start by creating a new connection Session in HeidiSQL, then choose the MySQL library type.

Configure the data set using the values for the MySQL service for Elasticsearch you configured in SQL Gateway (be sure to use the DSN for the database name). Validate your connection and click Open.

Query Elasticsearch from HeidiSQL

1. In the database listing on the left, find your connection to Elasticsearch configured earlier.
2. In the database listing on the left, expand the appropriate connection and to view individual tables or data objects present within Elasticsearch.
3. Write custom SQL queries targeting these tables, treating the data source like any SQL Server database, or visually explore each tabular data set by selecting the relevant tables

With the CData ODBC Driver for Elasticsearch and SQL Gateway, you are able to easily query data from Elasticsearch data in HeidiSQL. If you have any questions, such as needing to access your on-premises data from HeidiSQL, let our Support Team know.