Query Elasticsearch Data in MySQL Workbench

MySQL Workbench allows users to administer MySQL environments and gain better visibility into databases. When paired with CData Connect (on-premise or Connect Server), you get live access to Elasticsearch data as if it were a MySQL database. This article shows how to create a virtual database for Elasticsearch in Connect and work with live Elasticsearch data in MySQL Workbench.

Create a Virtual MySQL Database for Elasticsearch Data

CData Connect uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

1. Login to Connect and click Connections.
2. Select "Elasticsearch" from Available Data Sources.
3. Enter the necessary authentication properties to connect to Elasticsearch.

   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.

4. Click Save Changes
5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Elasticsearch from MySQL Workbench.

Query Elasticsearch from MySQL Workbench

The steps below outline connecting to the virtual Elasticsearch database in Connect from MySQL Workbench and issuing basic queries to work with live Elasticsearch data.

Connect to Elasticsearch through Connect

1. In MySQL Workbench, click to add a new MySQL connection.
2. Name the connection (CData Connect).
3. Set the Hostname, Port, and Username parameters to connect to the SQL Gateway.
4. Click Store in Vault to set and store the password.
5. Click Test Connection to ensure the connection is configured properly and click OK.

Query Elasticsearch Data

1. Open the connection you just created (CData Connect).
2. Click File -> New Query Tab.
3. Write a SQL query to retrieve Elasticsearch data, like SELECT * FROM elasticsearchdb.Orders;

With access to live Elasticsearch data from MySQL Workbench, you can easily query and update Elasticsearch, just like you would a MySQL database. Request a demo of the CData Connect and start working with Elasticsearch just like a MySQL database today.