integresql
sqlfluff
| integresql | sqlfluff | |
|---|---|---|
| 5 | 35 | |
| 710 | 7,219 | |
| 4.9% | 2.4% | |
| 8.9 | 9.6 | |
| 3 months ago | 3 days ago | |
| Go | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
integresql
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Mock unit test an API that uses postgres or integration test API with a "test" database?
For the case of PostgreSQL I've found IntegreSQL and its Javascript client really helpful because it can create a copy of the database per test case, which it helps to write integration tests with real DB calls.
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Mocking database calls without a library?
Mocking has some advantages, but so does using a real database, at work we use https://github.com/allaboutapps/integresql and I quite like the approach that integresql has, since it makes possible to have a fresh database with your dummy data for every test without impacting the execution speed (compared to dropping an re-creating the database).
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Ask HN: How do you test SQL?
Happy to hear that! When it comes to testing services that depend on PostgreSQL, this is still my preferred solution.
https://github.com/allaboutapps/integresql
disclaimer: author
- IntegreSQL – isolated PostgreSQL databases for integration tests
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Pg_tmp – Run tests on an isolated, temporary PostgreSQL database
I haven't had a change to try it yet, but IntegreSQL[0] looks like this on steroids. It allows you to create a template (runs migrations and seed dates), and then uses Postgres's built in cloning functionality to maintain a pool of fresh databases. They claim 500ms to clone a database without the pool, and that the pool pretty much hides the latency entirely.
[0]: https://github.com/allaboutapps/integresql
sqlfluff
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🐍🐍 23 issues to grow yourself as an exceptional open-source Python expert 🧑💻 🥇
Repo : https://github.com/sqlfluff/sqlfluff
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SQL Reserved Words – The Empirical List
I'm surprised sqlfluff hasn't been mentioned yet. Perhaps not a comprehensive list, but it's worked for everything I've thrown at it. There's an ANSI keyword list [0], and then dialect-specific lists for everything from DB2 [1] to Snowflake [2].
[0]: https://github.com/sqlfluff/sqlfluff/blob/main/src/sqlfluff/...
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Show HN: Postgres Language Server
It has tons of annoying quirks, but I couldn't imagine running a DBT project without it: https://github.com/sqlfluff/sqlfluff
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Front page news headline scraping data engineering project
Move SQL queries to sql files and read from files (Use sqlfluff to lint the code https://github.com/sqlfluff/sqlfluff)
- Anything like SQLFluff written in Rust?
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Code autoformatter for SQL in VSCode that plays nicely with dbt
SQLFluff is a good CLI tool for this and includes support for jinja and dbt. I don't think there's a VSCode plugin for it yet.
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Ask HN: How do you test SQL?
This linter can really enforce some best practices https://github.com/sqlfluff/sqlfluff
A list of best practices:
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What is something you would learn at college but not a bootcamp (hard skills)
BigQuery SQL and SQLFluff
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Is the knowledge on how Compilers work applicable to the role of a Data Engineer?
There's a SQL parser/linter called SQLFluff that my team uses for our CI/CD. I've made a few pull requests to fix the parser for the particular SQL dialect we used, and my college compiler classes definitely helped.
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sqlfluff VS ANTLR - a user suggested alternative
2 projects | 12 Dec 2022
What are some alternatives?
flyway-spawn-demo - CI demo using Flyway and Spawn
vscode-sqlfluff - An extension to use the sqlfluff linter in vscode.
otj-pg-embedded - Java embedded PostgreSQL component for testing
sqlparse - A non-validating SQL parser module for Python
testcontainers-go - Testcontainers for Go is a Go package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The clean, easy-to-use API enables developers to programmatically define containers that should be run as part of a test and clean up those resources when the test is done.
dbt-utils - Utility functions for dbt projects.
spawn-demo - Demo application to show how Spawn can be integrated in Development and CI
ale - Check syntax in Vim/Neovim asynchronously and fix files, with Language Server Protocol (LSP) support
entr - Run arbitrary commands when files change
soda-sql - Data profiling, testing, and monitoring for SQL accessible data.
localstripe - A fake but stateful Stripe server that you can run locally, for testing purposes.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum: