Book Image

PostgreSQL 10 High Performance - Third Edition

By : Enrico Pirozzi
Book Image

PostgreSQL 10 High Performance - Third Edition

By: Enrico Pirozzi

Overview of this book

PostgreSQL database servers have a common set of problems that they encounter as their usage gets heavier and requirements get more demanding. Peek into the future of your PostgreSQL 10 database's problems today. Know the warning signs to look for and how to avoid the most common issues before they even happen. Surprisingly, most PostgreSQL database applications evolve in the same way—choose the right hardware, tune the operating system and server memory use, optimize queries against the database and CPUs with the right indexes, and monitor every layer, from hardware to queries, using tools from inside and outside PostgreSQL. Also, using monitoring insight, PostgreSQL database applications continuously rework the design and configuration. On reaching the limits of a single server, they break things up; connection pooling, caching, partitioning, replication, and parallel queries can all help handle increasing database workloads. By the end of this book, you will have all the knowledge you need to design, run, and manage your PostgreSQL solution while ensuring high performance and high availability
Table of Contents (18 chapters)

Improving queries

Once you understand what a query is doing, getting it to do something better can be a difficult road to walk down. There are some common techniques that mesh with the areas PostgreSQL is known to be good and bad at.

Note that your first steps to improve queries should be to check whether the statistics the optimizer is working with seem reasonable. If it's bad, you may fix the problem by rewriting the query you have today to improve things. But, you can expect that future queries will run into the same class of issue, so fixing that from a statistics standpoint is the preferred way, the one that's more likely to continue reflecting future trends in the data. But improving the statistics about your data only goes so far some days.

Optimizing for fully cached...