SQL Rename

Rename table and column names in your SQL queries based on a CSV mapping file. Useful when working across databases with different naming conventions (e.g. Bronze/Silver tables in a lakehouse architecture).

Installation & Source

Install Python 3 on your machine.
Install the sqlglot library:
```
pip install sqlglot
```
Open VS Code Settings (extension icon → ⚙️ Settings) and configure:
- SQL Rename: DB Dialect — SQL dialect of your database (e.g. oracle, postgres)
- SQL Rename: Mapping CSV Path — path to your mapping file (leave empty for bundled)
- SQL Rename: Target Schema — target schema name (leave empty for default)

Source code: GitHub Repository

Usage

Open a file with the sql code in VS Code.
Select the SQL code to rename (or leave empty to rename the entire file).
Press Cmd+R (macOS) / Ctrl+R (Windows/Linux).
The extension replaces names inline and logs any unmapped tables/columns as warnings in the Output.

CSV Mapping Format

Semicolon-delimited:

source_table;source_column;target_table;target_column
SAMOCHODY;NUMER_VIN;CAR;VIN

Empty target_table or target_column means that field is unmapped (logged as a warning).
Source schema is not required — set the target schema in extension settings.

Extension Settings

Setting	Default	Description
`sqlrename.pythonPath`	`python3`	Path to your Python executable
`sqlrename.mappingCsvPath`	(empty)	Absolute or workspace-relative path to the CSV mapping file
`sqlrename.dbDialect`	`oracle`	SQL dialect for parsing (e.g. `oracle`, `mysql`, `postgres`)
`sqlrename.targetSchema`	(empty)	Target schema name; defaults to `dbo` when empty

SQL Rename

Jan Syrovatka

SQL Rename

Installation & Source

Usage

CSV Mapping Format

Extension Settings