Aaron O. Ellis
Postgres Full Text Search on Django JSON Fields with KT Expressions
The Django developers have worked hard to integrate Postgres full text search into the web framework’s ORM. Unfortunately, there are few quirks with the system, especially when working with JSON model fields. In this post, we’ll discuss those issues and how to work around them.
Fixing the Postgres Query Planner with enable_seqscan = off
If you’re querying a table with a small number of rows in Postgres, your query will most likely use a “sequential scan”, which scans the entirety of the table to find your result. This is true even when tables have an index for the field or fields you’re querying.
Using Postgres Schemas
Schemas are a shockingly underappreciated feature of relational databases. With minimal overhead, they enable segmentation and isolation of tables within a database.
If you are interested in using schemas with Postgres, I recommend starting with the official documentation’s fantastic introduction. Although I will reiterate some of the introduction below, I will mainly focus on the exceptional behavior and issues that arise when using schemas.
Aggregation with django-filter via Proxy Models
We can then use
django-filterpackage adds a quick way to add URL parameter driven filtering to existing Django database models. For example, take the following model:
We can then use
django-filter to quickly create a
FilterSet class that wraps the above database model:
Python datetime.utcnow() Considered Harmful
datetime.utcnow() classmethod is harmful and should be replaced with
utcnow() so dangerous? Although the function gives the correct time in the UTC timezone, the returned
datetime does not include a timezone.