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)

Summary

Benchmarking databases is a very extensive topic, and this chapter just introduces the major concepts. Having the pgbench tool bundled with the database is handy for doing smaller tests, but you need to be careful of its limitations before you rely too much on its results for your tuning efforts.

The basis for the built-in pgbench tests is outdated, and it's unlikely to match real-world performance. It can still be useful as a synthetic performance test.

You can write your own custom tests, either against the standard pgbench tables or new ones, and use the pgbench scripting capability to run those tests against multiple clients at once. Only a small number of the general database settings will impact pgbench results since its queries are so simple. Using a benchmarking tool chain that graphs transaction rate and latency, such as pgbench-tools, is vital to monitor...