29b45dd234
- Adds `skills/postgres-best-practices/`: A new skill containing comprehensive Postgres performance optimization rules and guidelines from Supabase. - The skill includes rules for query performance, connection management, security (RLS), and schema design. - Updates `README.md` to include the new skill in the directory.
1.4 KiB
1.4 KiB
title, impact, impactDescription, tags
| title | impact | impactDescription | tags |
|---|---|---|---|
| Use tsvector for Full-Text Search | MEDIUM | 100x faster than LIKE, with ranking support | full-text-search, tsvector, gin, search |
Use tsvector for Full-Text Search
LIKE with wildcards can't use indexes. Full-text search with tsvector is orders of magnitude faster.
Incorrect (LIKE pattern matching):
-- Cannot use index, scans all rows
select * from articles where content like '%postgresql%';
-- Case-insensitive makes it worse
select * from articles where lower(content) like '%postgresql%';
Correct (full-text search with tsvector):
-- Add tsvector column and index
alter table articles add column search_vector tsvector
generated always as (to_tsvector('english', coalesce(title,'') || ' ' || coalesce(content,''))) stored;
create index articles_search_idx on articles using gin (search_vector);
-- Fast full-text search
select * from articles
where search_vector @@ to_tsquery('english', 'postgresql & performance');
-- With ranking
select *, ts_rank(search_vector, query) as rank
from articles, to_tsquery('english', 'postgresql') query
where search_vector @@ query
order by rank desc;
Search multiple terms:
-- AND: both terms required
to_tsquery('postgresql & performance')
-- OR: either term
to_tsquery('postgresql | mysql')
-- Prefix matching
to_tsquery('post:*')
Reference: Full Text Search