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Query Elasticsearch Data in MySQL Workbench
Create a virtual MySQL database for Elasticsearch data in CData Connect (or Connect Server) and work with live 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.
About Elasticsearch Data Integration
Accessing and integrating live data from Elasticsearch has never been easier with CData. Customers rely on CData connectivity to:
- Access both the SQL endpoints and REST endpoints, optimizing connectivity and offering more options when it comes to reading and writing Elasticsearch data.
- Connect to virtually every Elasticsearch instance starting with v2.2 and Open Source Elasticsearch subscriptions.
- Always receive a relevance score for the query results without explicitly requiring the SCORE() function, simplifying access from 3rd party tools and easily seeing how the query results rank in text relevance.
- Search through multiple indices, relying on Elasticsearch to manage and process the query and results instead of the client machine.
Users frequently integrate Elasticsearch data with analytics tools such as Crystal Reports, Power BI, and Excel, and leverage our tools to enable a single, federated access layer to all of their data sources, including Elasticsearch.
For more information on CData's Elasticsearch solutions, check out our Knowledge Base article: CData Elasticsearch Driver Features & Differentiators.
Getting Started
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.
- Login to Connect and click Connections.
![]( "Adding a connection")
- Select "Elasticsearch" from Available Data Sources.
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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.
![]( "Configuring a connection (SQL Server is shown).")
- Click Save Changes
- 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
- In MySQL Workbench, click to add a new MySQL connection.
- Name the connection (CData Connect).
- Set the Hostname, Port, and Username parameters to connect to the SQL Gateway.
- Click Store in Vault to set and store the password.
- Click Test Connection to ensure the connection is configured properly and click OK.
Query Elasticsearch Data
- Open the connection you just created (CData Connect).
- Click File -> New Query Tab.
- 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.
