The document discusses various ways to optimize MySQL performance, including improving query optimization by using indexes and limiting queries, normalizing the database model, configuring MySQL settings like the query cache size and slow query log, and addressing hardware issues such as sufficient RAM, multiple drives, CPU speed, and replication or partitioning for large databases.

1. MySQL Optimization
Marko Novaković

2. MySQL Optimization
Query Optimization
Database Model
MySQL Configuration
Hardware Issues

3. Query Optimization
Queries that don't use indexes.
Queries that use SELECT *.
Queries that search full-text fields.
Queries that are not properly limited.
Queries that use ORDER BY unnecessarily.
Insert, update and delete optimization.

4. Database Model
All tables should have primary keys.
Database should be properly normalized.
Using simpler permissions.
Using char and md5 instead blob.
Do not split columns in more tables.
Specify column if not null and add defaults.

5. MySQL Configuration
skip-name-resolve
query_cache_size = 16M
log-slow-queries=/var/log/slowqueries.log
MySQL Tuner

6. Hardware Issues
Number of hard drives / RAID.
RAM memory makes bigger cache.
CPU
Replication
Partitioning

7. Thank You!
Questions?
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