Multi Source

Overview

This guide explains how to set up and use the Multi Source driver in Team Edition. This driver allows you to work with multiple files of different formats within a single connection, including:

• CSV
• JSON
• Parquet
• XML
• XLSX

You can query data from different sources simultaneously, apply filters and sorting, and even join data across files.

Important

When using the Multi Source driver, all connected files are read-only. To make changes, update the original files outside Team Edition.

Multi Source driver connection

This section describes two ways to set up a connection: opening a file from Cloud Storage or creating a connection using the wizard.

Note

The connection from Cloud Storage is temporary and will be removed when the session ends.

Open a file from Cloud Storage

You can open files directly from your Cloud Storage. Open Cloud Storage, find the file you need, and double-click it to create a connection. The connection will appear in the File databases folder in Database Navigator.

| Description | (Optional) Add details about this connection. | | | Keep alive (in seconds) | Set how long the connection stays active. | Default: 0 (no timeout). | | Auto commit | Enable automatic transaction commits. See more details on Auto and Manual commit modes. | Enabled by default. | | Read-only connection | Restrict the connection to read-only mode. | Optional checkbox. |

Tip

When using the folder path in the Database field, Team Edition scans the directory up to two levels deep for supported files. If the folder contains multiple files, Team Edition organizes them into schemas based on their directory structure. For more information, see folder structure.

Features and capabilities

Advanced SQL query capabilities

The Multi Source driver supports the full range of SQL queries:

• Simple queries (e.g., SELECT * FROM table): Data is read directly from the files.
• Complex queries (e.g., using WHERE, JOIN, ORDER BY, GROUP BY): When a complex query is executed for the first time, the driver imports the data from all selected files into an internal database to enable advanced SQL functions. Subsequent queries run faster because the data is already imported into an internal database.

Note

If you want to join data from different files, they must be opened in the same connection. To do this, use a folder path instead of a single file when creating the connection.

Folder structure

When working with multiple files and folders, Team Edition organizes them as follows:

Location	Schema in Team Edition
Root files	Default schema
Subfolder files	Schema named after the subfolder
Files in deeper folders	Ignored

If your folder structure looks like this:

Data/
├── employees.csv
├── sales.json
└── Reports/
    ├── monthly.xml
    ├── yearly.parquet
    └── summary.xlsx

Team Edition will create:

• Default schema: employees, sales
• Reports schema: monthly, yearly, summary

Tip

To focus on specific files, consider selecting individual files or folders when configuring the connection.

Internal database

When you execute a complex query (such as WHERE, JOIN, GROUP BY, or ORDER BY.) on multiple files for the first time, the Multi Source driver processes the data by importing it into a temporary internal SQLite database.

This internal database stores data temporarily on the server during your session and is cleared when session ends.

Additional features

Team Edition provides additional features compatible with Multi Source driver, but not exclusive to it:

Category	Feature
Data Export	Data Export
Data Visualization	Visual Query Builder
	Charts

Info

For more details on driver properties, see File-based driver properties.