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How to Extract Microsoft Access Query SQL Definitions with Python or VBA

Huda Qurayshi Sep 25, 2026 870 views

Question details

The user needs to extract SQL statements from hundreds of Microsoft Access databases to convert them into Databricks views.

How to Extract Microsoft Access Query SQL Definitions with Python or VBA

Product: Microsoft Access
Device & OS: not provided
Scenario: Automating the extraction of saved SQL queries from multiple Access databases for a large-scale database migration project.
Observed behavior: Standard Python libraries like pyodbc and MDB Tools can access table data but fail to reliably retrieve saved Access query definitions, requiring a DAO VBA or COM automation approach.

Before you start

Ensure you have the necessary read permissions for all the Microsoft Access databases and make backup copies of your files before running any batch extraction scripts.

Solution 1Recommended

Extract SQL Definitions Using a DAO VBA Procedure

Run a VBA script directly inside Microsoft Access to iterate through the QueryDefs collection and extract the SQL text. This is highly reliable for one-time migrations.

Data Access Objects (DAO) is the native library for Microsoft Access. Using a VBA loop, you can easily read the SQL definitions of every saved query in your database.

Open the VBA Editor

Open your Microsoft Access database and press ALT + F11 to launch the Visual Basic for Applications (VBA) editor.

Insert a New Module

Click 'Insert' in the top menu and select 'Module' to create a blank script window.

Add the DAO Extraction Code

Paste the extraction script into the module. Use a 'For Each qdf In db.QueryDefs' loop, and write 'Debug.Print qdf.SQL' to output the definitions to the Immediate Window.

Run the Script

Press F5 or click the Run button. To save the output for migration, you can modify the script to write the 'qdf.SQL' values directly to a text file using standard VBA file I/O operations.

Extract SQL Definitions Using a DAO VBA Procedure

Automating for Multiple Files: If you have hundreds of databases, you can wrap this VBA procedure in an outer loop that iterates through a folder of .accdb or .mdb files.

Solution 2

Automate DAO Extraction Using Python and COM Integration

If Python automation is strictly required, use the pywin32 library to control the Microsoft Access DAO engine externally.

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Frequently Asked Questions

Can I use pyodbc to read Access query definitions directly?

Pyodbc is highly effective for querying table data and executing SQL commands, but it does not natively expose the Access QueryDefs collection. To extract the actual saved SQL text, DAO (via VBA or Python COM) is the recommended approach.

Are Microsoft Access SQL queries fully compatible with Databricks?

No, Microsoft Access uses its own SQL dialect (Jet/ACE SQL), which contains specific functions and syntax that differ from Databricks SQL (which is based on Apache Spark SQL). You will need to review and likely rewrite portions of the extracted statements during your migration.

How do I export the extracted SQL definitions to a text file using VBA?

You can modify your DAO VBA script by using the 'Open' statement to create a text file. Inside your QueryDefs loop, use 'Print #1, qdf.Name & ": " & qdf.SQL' to write each definition to the file, and then 'Close #1' when finished.

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