I tried using a gin index to speed up LIKE '%term%'
queries against a column.
PostgreSQL: More performance for LIKE and ILIKE statements provided useful background. The raw-SQL way to do this is to install the extension like so:
CREATE EXTENSION pg_trgm;
And then create an index like this:
CREATE INDEX idx_gin ON mytable USING gin (mycolumn gin_trgm_ops);
This translates to two migrations in Django. The first, to enable the extension, looks like this:
from django.contrib.postgres.operations import TrigramExtension
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("blog", "0014_entry_custom_template"),
]
operations = [TrigramExtension()]
Then to configure the index for a model you can add this to the model's Meta
class:
class Entry(models.Model):
title = models.CharField(max_length=255)
body = models.TextField()
class Meta:
indexes = [
GinIndex(
name="idx_blog_entry_body_gin",
fields=["body"],
opclasses=["gin_trgm_ops"],
),
]
The opclasses=["gin_trgm_ops"]
line is necessary to have the same efect as the CREATE INDEX
statement shown above. The name=
option is required if you specify opclasses
.
Run ./manage.py makemigrations
and Django will automatically create the correct migration to add the new index.
I ended up not shipping this for my blog because with less than 10,000 rows in the table it made no difference at all to my query performance.
Created 2021-05-16T17:59:05-07:00 · Edit