Skip to main content

A SQL formatter

Project description


A Python based SQL formatter


How to install

pip install sql-formatter

How to use

Format your SQL files via the command line

sql-formatter sql_file.sql sql_file2.sql

You can also format all your SQL-files via

sql-formatter *.sql in Unix

or via

sql-formatter "*.sql" in Windows

To format all your SQL files recursively use

sql-formatter --recursive "*.sql" in Unix and Windows

Usage with pre-commit

pre-commit is a nice development tool to automatize the binding of pre-commit hooks. After installation and configuration pre-commit will run your hooks before you commit any change.

To add sql-formatter as a hook to your pre-commit configuration to format your SQL files before commit, just add the following lines to your .pre-commit-config.yaml:

  - repo: local
    - id: sql_formatter
      name: SQL formatter
      language: system
      entry: sql-formatter
      files: \.sql$

Usage in Python

To exemplify the formatting let's say you have a SQL query like this

example_sql = """
create or replace table mytable as -- mytable example
seLecT a.asdf, b.qwer, -- some comment here
c.asdf, -- some comment there
b.asdf2 frOm table1 as a leFt join 
table2 as b -- and here a comment
    on a.asdf = b.asdf  -- join this way
    inner join table3 as c
on a.asdf=c.asdf
whEre a.asdf= 1 -- comment this
anD b.qwer =2 and a.asdf<=1 --comment that
or b.qwer>=5
groUp by a.asdf

Then you can use this package to format it so that it is better readable

from sql_formatter.core import format_sql
CREATE OR REPLACE TABLE mytable AS -- mytable example
SELECT a.asdf,
       b.qwer, -- some comment here
       c.asdf, -- some comment there
FROM   table1 as a
    LEFT JOIN table2 as b -- and here a comment
        ON a.asdf = b.asdf -- join this way
    INNER JOIN table3 as c
        ON a.asdf = c.asdf
WHERE  a.asdf = 1 -- comment this
   and b.qwer = 2
   and a.asdf <= 1 --comment that
    or b.qwer >= 5
GROUP BY a.asdf

It can even deal with subqueries and it will correct my favourite simple careless mistake (comma at the end of SELECT statement before of FROM) for you on the flow :-)

select asdf, cast(qwer as numeric), -- some comment
(select asdf, qwer, from table1 where asdf = 1) as a
join (select asdf, qwer2 from table2 where qwer2 = 1) as b
on a.asdf = b.asdf
where qwer1 >= 0
SELECT asdf,
       cast(qwer as numeric), -- some comment
FROM   (SELECT asdf,
        FROM   table1
        WHERE  asdf = 1) as a
               FROM   table2
               WHERE  qwer2 = 1) as b
        ON a.asdf = b.asdf
WHERE  qwer1 >= 0

The formatter is also robust against nested subqueries

select field1, field2 from (select field1, 
field2 from (select field1, field2, 
field3 from table1 where a=1 and b>=100))
SELECT field1,
FROM   (SELECT field1,
        FROM   (SELECT field1,
                FROM   table1
                WHERE  a = 1
                   and b >= 100))

If you do not want to get some query formatted in your SQL file then you can use the marker /*skip-formatter*/ in your query to disable formatting for just the corresponding query

from sql_formatter.format_file import format_sql_commands
use database my_database;

-- My first view --
create or repLace view my_view as
select asdf, qwer from table1
where asdf <= 10;

create oR rePlace tabLe my_table as
select asdf
From my_view;
use database my_database;

-- My first view --
SELECT asdf,
FROM   table1
WHERE  asdf <= 10;

create oR rePlace tabLe my_table as
select asdf
From my_view;

A note of caution

For the SQL-formatter to work properly you should meticulously end each of your SQL statements with semicolon (;)

However, we have equiped the sql-formatter with some basic validations:

  • Forgotten semicolon validation: The validator will check if the CREATE keyword appears more than twice, indicating the user that he / she may have forgotten a semicolon
  • Unbalanced parenthesis: The validator will check if there are unbalanced parenthesis in the query
  • Unbalanced case when ... end: The validator will check if there are case when statements without end or vice versa

What sql_formatter does not do

This package is just a SQL formatter and therefore

  • cannot parse your SQL queries into e.g. dictionaries
  • cannot validate your SQL queries to be valid for the corresponding database system / provider

Up to now it only formats queries of the form

  • SELECT ...

Every other SQL commands will remain unformatted, e.g. INSERT INTO ...

Formatting Logic

The main goal of the sql_formatter is to enhance readability and quick understanding of SQL queries via proper formatting. We use indentation and lowercasing / uppercasing as means to arrange statements / clauses and parameters into context. By programmatically standardizing the way to write SQL queries we help the user understand its queries faster.

As a by-product of using the sql_formatter, developer teams can focus on the query logic itself and save time by not incurring into styling decisions, this then begin accomplished by the sql_formatter. This is similar to the goal accomplished by the black package for the Python language, which was also an inspiration for the development of this package for SQL.

We can summarize the main steps of the formatter as follows:

  1. Each query is separated from above by two newlines.
  2. Everything but main statements* / clauses is lowercased

* Main statements:

  • CREATE ... TABLE / VIEW table_name AS
  • FROM
  • ON
  • OVER
  1. Indentation is used to put parameters into context. Here an easy example:
SELECT field1,
       case when field2 > 1 and
                 field2 <= 10 and
                 field1 = 'a' then 1
            else 0 end as case_field,
FROM   table1
WHERE  field1 = 1
   and field2 <= 2
    or field3 = 5
ORDER BY field1

This is a very nice, easy example but things can become more complicated if comments come into play

  1. Subqueries are also properly indented, e.g.:```sqlSELECT a.field1, a.field2, b.field3 FROM (SELECT field1, field2 FROM table1 WHERE field1 = 1) as a LEFT JOIN (SELECT field1, field3 FROM table2) as b ON a.field1 = b.field1:

5. Everything not being a query of the form `CREATE ... TABLE / VIEW` or `SELECT ...` is left unchanged

## Versioning

We version our package via [semantic versioning](, i.e., 

* We use three digits separated by points x1.x2.x3, e.g. 0.5.1
* We increase x1 (the major version) if we introduce breaking changes
  * Exception: Versions with 0 at the beginning (e.g. 0.5.1) mean that the package is not stable yet and therefore every new feature could be a breaking change
* We increase x2 (the minor version) if we introduce a new feature
* We increase x3 (the patch version) if we fix a bug

New documentation, refactoring / maintenance of code and admin tasks do not change the versions.

You can follow the changes introduced by each version in our [CHANGELOG](

## How to contribute

You can contribute to this project:

* writing issues
* contributing to the code basis

### Writing issues

If you find some bug or you think some new feature could improve the package, please write an issue going to [New Issue]( and follow the instructions under the corresponding template

### Contributing to the code basis

We follow the [nbdev]( framework for the literate programming development of this project. So if you want to contribute, please familiarize first with this framework. Specially, we write our code, tests and documentation at the same time in jupyter notebooks.

If you have not heard about `nbdev` yet and / or find the idea weird to develop in notebooks as it was the case for me, please watch the following youtube video first: [I like notebooks]( by Jeremy Howard, the creator of this wonderful framework. 

#### Setup the development environment
Prerequisites to setup the development environment:
* conda

To setup the development environment:
1. Fork this project repository, i.e., click on the "Fork" button on the right of the top of the repo page. This creates a copy of the project code on your GitHub user account.
2. Clone your forked project from your GitHub account to your local disk and navigate into it:

git clone
cd sql_formatter
  1. Setup the upstream remote to be the original project repository (this one and not your forked one):
git remote add upstream
  1. Synchronize your master branch with the upstream branch:
git checkout master
git pull upstream master
  1. Create a new branch to hold your development changes:
git checkout -b my_feature_branch
  1. Install our conda development environment running conda env create -f environment.yml
  2. Activate the python environment using conda activate sql-formatter-dev
  3. Run nbdev_install_git_hooks
  4. Run pip install -e . to install the package in editable mode. This way the command line interface (CLI) sql-formatter will incorporate your changes in the python code
  5. When your change is ready commit it, and push it to your fork
git add modified_files
git commit -m "some message"
git push -u origin my_feature_brach
  1. Follow these instructions to create a pull request from your fork.

Development Workflow

For development we follow these steps:

  1. Pick an existing issue and write in the comments you would like to fix it
  • If your idea is not documented in an issue yet, please write first an issue
  1. Create a branch from master and implement your idea
  2. Before pushing your solution run first make prepush to make sure everything is allright to merge, specially our tests
  3. Make a pull request for your solution
  • The pull request title should be meaningful, something like "[PREFIX] Title of the issue you fixed". Please try to use some of the following prefixes:
    • [FIX] for bugfixes
    • [FEA] for new features
    • [DOC] for documentation
    • [MNT] for maintenance

Only pull requests / commits using the aforementioned prefixes will be added to the changelog / release notes


Thank you very much to Jeremy Howard and all the nbdev team for enabling the fast and delightful development of this library via the nbdev framework.

For more details on nbdev, see its official tutorial

Thank you very much for the developers of the black package, which was also an inspiration for the development of this package

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sql_formatter-0.5.1.tar.gz (30.1 kB view hashes)

Uploaded Source

Built Distribution

sql_formatter-0.5.1-py3-none-any.whl (26.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page