๐—œ ๐—”๐—ฑ๐—ฑ๐—ฒ๐—ฑ ๐Ÿฎ๐Ÿฌ ๐—œ๐—ป๐—ฑ๐—ฒ๐˜…๐—ฒ๐˜€ ๐˜๐—ผ ๐—™๐—ถ๐˜… ๐—ฆ๐—น๐—ผ๐˜„ ๐—ค๐˜‚๐—ฒ๐—ฟ๐—ถ๐—ฒ๐˜€ ๐— ๐˜† ๐——๐—ฎ๐˜๐—ฎ๐—ฏ๐—ฎ๐˜€๐—ฒ ๐—š๐—ผ๐˜ ๐Ÿฏ๐˜… ๐—ฆ๐—น๐—ผ๐˜„๐—ฒ๐—ฟ

I took over a PostgreSQL database. API response times hit 8 seconds. Users timed out.

I added 20 indexes across 12 tables. I thought this would fix it.

The database slowed down. Writes crawled. Disk usage spiked.

Many think more indexes mean faster queries. This is a mistake.

PostgreSQL updates every index on every write. Your INSERT and UPDATE tasks get heavier.

I indexed a status column with 4 values. PostgreSQL ignored the index. It used a full table scan. The index was dead weight.

I had redundant indexes. A composite index covers a single column index. I wasted resources.

I used a partial index for pending orders. This small index worked 5x faster than full indexes.

I found 14 unused indexes. I dropped them.

I used pg_stat_statements to find queries burning CPU.

I ran EXPLAIN ANALYZE for every slow query. This shows real timing data.

Results:

Use EXPLAIN ANALYZE before adding any index. Every index needs a specific purpose. Point to the query it helps.

Indexes are not for emergencies. They are surgical tools. Use them like one.

Source: https://dev.to/kollittle/i-added-20-indexes-to-fix-slow-queries-my-database-got-3x-slower-3ac2