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CData Connect Server

Query Amazon S3 Data in MySQL Workbench



Create a virtual MySQL database for Amazon S3 data in CData Connect (or Connect Server) and work with live Amazon S3 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 Amazon S3 data as if it were a MySQL database. This article shows how to create a virtual database for Amazon S3 in Connect and work with live Amazon S3 data in MySQL Workbench.

Create a Virtual MySQL Database for Amazon S3 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 "Amazon S3" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Amazon S3.

    To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

    Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

    For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.

  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 Amazon S3 from MySQL Workbench.

Query Amazon S3 from MySQL Workbench

The steps below outline connecting to the virtual Amazon S3 database in Connect from MySQL Workbench and issuing basic queries to work with live Amazon S3 data.

Connect to Amazon S3 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 Amazon S3 Data

  1. Open the connection you just created (CData Connect).
  2. Click File -> New Query Tab.
  3. Write a SQL query to retrieve Amazon S3 data, like SELECT * FROM amazons3db.ObjectsACL;

With access to live Amazon S3 data from MySQL Workbench, you can easily query and update Amazon S3, just like you would a MySQL database. Request a demo of the CData Connect and start working with Amazon S3 just like a MySQL database today.