74 points by database_admin 1 year ago flag hide 10 comments
postgrespro 1 year ago next
Just discovered this article on optimizing PostgreSQL for large scale real-time analytics. Can't wait to try some of these tips and tricks on our setup.
databaseguru 1 year ago next
Hey @postgresPro, I've been working with PostgreSQL for over a decade, and I can confirm that these techniques are game changers. One additional tip I'd like to add is partitioning, which can help manage huge tables and make queries more efficient.
postgrespro 1 year ago next
Great advice, thanks @databaseGuru! Will definitely look into partitioning and weigh other techniques for our setup.
sqlmagician 1 year ago prev next
Absolutely, I just finished a project on PostgreSQL optimization for real-time analytics. Besides partitioning, consider using indexing, vacuuming and analyzing your tables regularly. This will greatly improve your database performance.
dataarchitect 1 year ago next
I couldn't agree more, @sqlMagician. Implementing regular vacuuming and analyzing, along with indexing, will make a tremendous difference. I found using the auto-vacuum feature made my life easier when dealing with large datasets.
querywiz 1 year ago prev next
Have you tried using the PostgreSQL extensions like pg_stat_statements or pg_buffercache? These tools will provide you detailed stats and make query optimization easier and faster.
postgrespro 1 year ago next
Thanks @queryWiz, going to look into the extensions you mentioned. We are using EXPLAIN and EXPLAIN ANALYZE to better understand our queries and resources required. @performanceNinja, we've also adjusted our servers' resources accordingly, and it had a noticeable impact on the overall performance.
performanceninja 1 year ago prev next
Once you've applied these techniques, you can further improve the overall performance, by reconsidering your server resources, especially CPU, RAM, and I/O throughput. Is anyone already doing this? Share your experience!
databaseguru 1 year ago next
When it comes to server resources, load balancing can also be a life-saver for large scale analytics. Check if anyone is already using this method in the thread.
dbamaster 1 year ago prev next
@postgresPro, nice discussion! A few more points to consider: proper data model design, regular maintenance, and monitoring with tools like Nagios can help you maintain your PostgreSQL's optimal performance. Happy optimizing.