How to Query CSV Data in MySQL Workbench

You can use the SQL Gateway from the ODBC Driver for CSV to query CSV data through a MySQL interface. Follow the procedure below to start the MySQL remoting service of the SQL Gateway and work with live CSV data in MySQL Workbench.

Connect to CSV 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.

Connecting to Local or Cloud-Stored (Box, Google Drive, Amazon S3, SharePoint) CSV Files

CData Drivers let you work with CSV files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.

Setting connection properties for local files

Set the URI property to local folder path.

Setting connection properties for files stored in Amazon S3

To connect to CSV file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended CSV files exist. In addition, at least set these properties:

• AWSAccessKey: AWS Access Key (username)
• AWSSecretKey: AWS Secret Key

Setting connection properties for files stored in Box

To connect to CSV file(s) within Box, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Box.

Dropbox

To connect to CSV file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.

SharePoint Online (SOAP)

To connect to CSV file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. Set User, Password, and StorageBaseURL.

SharePoint Online REST

To connect to CSV file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.

Google Drive

To connect to CSV file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to CSV 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.

👁 Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)

Query CSV from MySQL Workbench

The steps below outline connecting to the virtual CSV database created in the SQL Gateway from MySQL Workbench and issuing basic queries to work with live CSV data.

Connect to CSV through the SQL Gateway

1. In MySQL Workbench, click to add a new MySQL connection.
2. Name the connection (CData SQL Gateway for CSV).
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.

NOTE: When we refer to Username and Password, we mean the credentials for the user(s) created for the SQL Gateway.

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Query CSV Data

1. Open the connection you just created (CData SQL Gateway for CSV).
2. Click File -> New Query Tab.
3. Write a SQL query to retrieve CSV data, like SELECT * FROM `CData CSV Sys`.Customer;

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With access to live CSV data from MySQL Workbench, you can easily work with CSV, just like you would a MySQL database. Get started now with a free, 30-day trial of the CData ODBC Driver for CSV and the CData SQL Gateway.