12/25/2023 0 Comments Sql prettify online![]() ![]() Join (select asdf, qwer2 from table2 where qwer2 = 1) as b (select asdf, qwer, from table1 where asdf = 1) as a Select asdf, cast(qwer as numeric), - some comment 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 :-) print(format_sql(""" LEFT JOIN table2 as b - and here a comment Then you can use this package to format it so that it is better readable from sql_re import format_sqlĬREATE OR REPLACE TABLE mytable AS - mytable example SeLecT a.asdf, b.qwer, - some comment here To exemplify the formatting let's say you have a SQL query like this example_sql = """Ĭreate or replace table mytable as - mytable example Or repos : - repo : local hooks : - id : sql_formatter name : SQL formatter language : system entry : sql-formatter -max-line-length=50 files : \.sql$įor a custom maximum line length truncation of e.g. pre-commit-config.yaml file: repos : - repo : local hooks : - id : sql_formatter name : SQL formatter language : system entry : sql-formatter files : \.sql$ If you want to install sql-formatter locally and use that instead of using pre-commit's default environment, set repo: local in your. pre-commit-config.yaml: repos : - repo : rev : master hooks : - id : sql_formatter 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. After installation and configuration pre-commit will run your hooks before you commit any change. Pre-commit is a nice development tool to automatize the binding of pre-commit hooks. Sql-formatter sql_file.sql -max-line-length=50 Usage with pre-commit You can control the maximum length line using e.g. The default maximum line length is 82 after line stripping. The sql_formatter will try to truncate too long lines in the SELECT clause for either ![]() Sql-formatter -r "*.sql" Controlling maximum length line via truncation ![]() To format all your SQL files recursively use You can also format all your SQL-files via If you sign in using your Google account, you can download random data programmatically by saving your schemas and using curl to download data in a shell script via a RESTful url.Conda install -c pablormira sql_formatter How to useįormat your SQL files via the command line Mockaroo allows you to quickly and easily to download large amounts of randomly generated test data based on your own specs which you can then load directly into your test environment using SQL or CSV formats. But not everyone is a programmer or has time to learn a new framework. There are plenty of great data mocking libraries available for almost every language and platform. Testing with realistic data will make your app more robust because you'll catch errors that are likely to occur in production before release day. Real data is varied and will contain characters that may not play nice with your code, such as apostrophes, or unicode characters from other languages. When you demonstrate new features to others, they'll understand them faster. When your test database is filled with realistic looking data, you'll be more engaged as a tester. Worse, the data you enter will be biased towards your own usage patterns and won't match real-world usage, leaving important bugs undiscovered. If you're hand-entering data into a test environment one record at a time using the UI, you're never going to build up the volume and variety of data that your app will accumulate in a few days in production. In production, you'll have an army of users banging away at your app and filling your database with data, which puts stress on your code. If you're developing an application, you'll want to make sure you're testing it under conditions that closely simulate a production environment. Paralellize UI and API development and start delivering better applications faster today! Why is test data important? With Mockaroo, you can design your own mock APIs, You control the URLs, responses, and error conditions. By making real requests, you'll uncover problems with application flow, timing, and API design early, improving the quality of both the user experience and API. It's hard to put together a meaningful UI prototype without making real requests to an API. Mock your back-end API and start coding your UI today. ![]()
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