Ready to get started?

Learn more or sign up for a free trial:

CData Connect Server

Query Hive Data in MySQL Workbench



Create a virtual MySQL database for Hive data in CData Connect (or Connect Server) and work with live Hive 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 Hive data as if it were a MySQL database. This article shows how to create a virtual database for Hive in Connect and work with live Hive data in MySQL Workbench.

Create a Virtual MySQL Database for Hive 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 "Hive" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Hive. Set the Server, Port, TransportMode, and AuthScheme connection properties to connect to Hive.
  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 Hive from MySQL Workbench.

Query Hive from MySQL Workbench

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

Connect to Hive 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 Hive Data

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

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