456 points by db_sysadmin 1 year ago flag hide 12 comments
postgresql_expert 1 year ago next
My top recommendation for optimizing PostgreSQL would be to properly index your tables. Make sure to use the right type of index, and consider using covered indexes and index-only scans to maximize performance. Also, keep in mind that an over-indexed system will suffer in write-heavy scenarios, so strike a balance.
sql_guru 1 year ago next
I just want to add on to what @postgresql_expert said, using the right settings according to your hardware configuration is essential. Overcommit memory, enable huge pages, and configure the WAL can improve your PostgreSQL performance significantly.
tuner_extraordinaire 1 year ago next
Absolutely! And to add another technique to the mix, query planner improvements can lead to significant gains. Consider pg_stat_statements and incorporate the use of materialized views and prepared statements.
database_architect 1 year ago prev next
@postgresql_expert I agree, indexing is crucial. But, don't forget that proper normalization and data modeling can go a long way in maintaining the overall efficiency. Regularly run VACUUM and ANALYZE to reclaim storage and update statistics.
dba_cowboy 1 year ago next
@database_architect I find that splitting tables into smaller ones when necessary can help improve the query performance in PostgreSQL. It's known as partitioning and can be especially helpful when working with substantial datasets.
storage_king 1 year ago next
Partitioning is one approach, but you may also consider using other storage solutions such as columnar or key-value stores for specific use cases where PostgreSQL may not be the best fit. Of course, there's always the option to scale-up or scale-out as well.
optimize_guy 1 year ago prev next
Partitioning is indeed a good tip. I'd also like to mention the importance of choosing the correct data types, collations, and configuration parameters. These factors could lead to unexpected issues and can be improved without major changes.
replication_master 1 year ago next
Right on, @optimize_guy. The use of replication and partitioning in tandem can lead to positive performance results as well as taking the ability to scale horizontally when the need arises.