DBeaver Documentation

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Database driver Files MultiSource

Note: This feature is available in Lite, Enterprise, Ultimate and Team editions only.

Overview

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

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 DBeaver.

Before you start, create a connection in DBeaver and select the Multi Source driver. If you haven’t done this, see our Database Connection article.

You can open and work with files stored in your cloud storage directly in DBeaver. For setup instructions, see Cloud Storage.

Multi Source driver connection settings

This section describes how to set up a connection using the Multi Source driver. The connection settings page requires the following fields:

Field Description Options
Connect by (Path/URL) Choose whether to connect using a local host path or a URL.
File paths Specify the location of the Multi Source file(s). Choose an action: When Editing or Adding, choose from:
- Edit: Modify an existing file or folder selection. - File: Select a single file.
- Folder: Choose a directory containing multiple files. For more details, see Folder structure section.
- Add: Add a new file or folder. - Remote: Access a remote folder via Cloud Storage. This feature is available only in Ultimate and Team Editions.
- Remove: Delete a selected file or folder.
Driver name This field will be auto-filled based on your selected driver type.
Driver settings If there are any specific driver settings, configure them here.

Tip: When using the Folder option, DBeaver scans the directory up to two levels deep for supported files. If the folder contains multiple files, DBeaver 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 join data from different files, they must be opened in the same connection.

Folder structure

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

Location Schema in DBeaver
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

DBeaver 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.

By default, this internal database stores data temporarily on the disk during your session and is cleared when DBeaver restarts. To speed up queries on the same files in future sessions, you can specify the internalDbFilePath option in the Driver properties tab (e.g., C:\User\database.db) to reuse the processed data.

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

Additional features

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

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