feat(deploy): production deployment setup and fixes

- Debian-based api image (bookworm-slim), docker/debian mirrors, prisma
  binaryTargets for openssl 3.0
- nginx: admin SPA under /admin, TLS via acme.sh (ZeroSSL) + auto-renewal
  cron, http->https redirect
- prisma: add origin_goods.delisted migration, sync missing schema
  (good_image/tag_font_color/good_tags), fix users.createdAt Timestamptz
- api: CORS wildcard reflection, helmet CORP cross-origin, price
  backfill in persistProductDetail, categoryIcon ancestor fallback,
  mediaByColor per-color gallery in public goods detail
- admin: /admin base path (vite + router)
- import-data.mjs: udt_name casting, serial sequence advance fix
This commit is contained in:
yeuimu
2026-08-26 14:23:09 +08:00
parent be0b90e68f
commit 6c61a4e871
982 changed files with 74156 additions and 179393 deletions
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---
title: Use tsvector for Full-Text Search
impact: MEDIUM
impactDescription: 100x faster than LIKE, with ranking support
tags: 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):**
```sql
-- 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):**
```sql
-- 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:
```sql
-- AND: both terms required
to_tsquery('postgresql & performance')
-- OR: either term
to_tsquery('postgresql | mysql')
-- Prefix matching
to_tsquery('post:*')
```
Reference: [Full Text Search](https://supabase.com/docs/guides/database/full-text-search)