sql-athame
django-silk
sql-athame | django-silk | |
---|---|---|
2 | 16 | |
11 | 4,245 | |
- | 0.5% | |
0.0 | 7.2 | |
about 1 year ago | 24 days ago | |
Python | Python | |
MIT License | MIT License |
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sql-athame
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Show HN: Sqlbind a Python library to compose raw SQL
I had my own take on this concept[1], though with considerably less language magic involved. I imagine there's a lot of these kind of things running around. My criteria were:
a) let me write actual SQL, not a python DSL that generates SQL
b) be placeholder-safe
c) be composable
[1] https://github.com/bdowning/sql-athame
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Write an SQL query builder in 150 lines of Python
This is my middle-ground solution for Python: https://github.com/bdowning/sql-athame
Still fundamentally manipulating SQL text (which is a feature as I don't want to learn a full DSL), but it handles wrangling embedded placeholders while you're composing stuff and some other common compositional tasks. It's worked well for me anyway but I'm under no illusions it'd be right for everyone.
Not an original concept regardless; my original version of this was in Node: https://github.com/bdowning/sql-assassin, but a few years after I wrote that (and mostly didn't use it) I found https://github.com/gajus/slonik which was very similar and much more fleshed-out; I rolled _some_ of its concepts and patterns into sql-athame.
django-silk
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Show HN: Sqlbind a Python library to compose raw SQL
But that's still not backend-specific SQL?
There should be an interface method for this. Why does psycopg call it mogrify?
https://django-debug-toolbar.readthedocs.io/en/latest/panels... :
> debug_toolbar.panels.sql.SQLPanel: SQL queries including time to execute and links to EXPLAIN each query
But debug toolbars mostly don't work with APIs.
https://github.com/django-query-profiler/django-query-profil... :
> Django query profiler - one profiler to rule them all. Shows queries, detects N+1 and gives recommendations on how to resolve them
https://github.com/jazzband/django-silk :
> Silk is a live profiling and inspection tool for the Django framework. Silk intercepts and stores HTTP requests and database queries before presenting them in a user interface for further inspection
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Understanding TTFB Latency in DJango - Seems absurdly slow after DB optimizations even locally
you're using DRF, which DDT doesn't work well with. DDT is more for template rendered pages, not API responses. Have you brought in Django silk for monitoring this?
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The Django ecosystem is not so good
https://github.com/jazzband/django-silk/issues?q=is%3Aopen+is%3Aissue+label%3Abug
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view fields depend on Enum value in Django admin
Are you using Django-silk? Googling for the error shows https://github.com/jazzband/django-silk/issues/374
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How to view the number of queries executed in DRF.
Those docs are wrong. They still reference syncdb. Use the README at https://github.com/jazzband/django-silk.
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Tracking Endpoint Access
Perhaps https://github.com/jazzband/django-silk?
- How can gather info about API Response status per user ?
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I just updated my deep dive on how to optimize SQL queries with the Django ORM
If you're using Django as an API, without templates, django debug toolbar is useless because it requires templates. It won't work with DRF endpoints which means you miss out on profiling and SQL tracing. That's where django-silk shines.
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Is there a notable performance difference between getting instance by get.(id=wanted_id) or using foreign key to get instance?
You can also install django-silk to profile your app, and play around with different implementations.
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3% of 666 Python codebases we checked had a silently failing unit test
https://github.com/ansible-community/ara/pull/358 https://github.com/b12io/orchestra/pull/830 https://github.com/batiste/django-page-cms/pull/210 https://github.com/carpentries/amy/pull/2130 https://github.com/celery/django-celery/pull/612 https://github.com/django-cms/django-cms/pull/7241 https://github.com/django-oscar/django-oscar/pull/3867 https://github.com/esrg-knights/Squire/pull/253https://github.com/Frojd/django-react-templatetags/pull/64 https://github.com/groveco/django-sql-explorer/pull/474 https://github.com/jazzband/django-silk/pull/550 https://github.com/keras-team/keras/pull/16073 https://github.com/ministryofjustice/cla_backend/pull/773 https://github.com/nitely/Spirit/pull/306 https://github.com/python/pythondotorg/pull/1987 https://github.com/rapidpro/rapidpro/pull/1610 https://github.com/ray-project/ray/pull/22396 https://github.com/saltstack/salt/pull/61647 https://github.com/Swiss-Polar-Institute/project-application/pull/483 https://github.com/UEWBot/dipvis/pull/216
What are some alternatives?
PyPika - PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
django-debug-toolbar - A configurable set of panels that display various debug information about the current request/response.
pgcli - Postgres CLI with autocompletion and syntax highlighting
django-celery - Old Celery integration project for Django
sqlc - Generate type-safe code from SQL
django-cms - The easy-to-use and developer-friendly enterprise CMS powered by Django
postgres-typed
django-oscar - Domain-driven e-commerce for Django
xql - SQL builder and utilities library for node.js (runs in browser as well).
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Spirit - Spirit is a modern Python based forum built on top of Django framework
pythondotorg - Source code for python.org