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PostgreSQL 10 High Performance

PostgreSQL 10 High Performance

By : Enrico Pirozzi
2.5 (2)
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PostgreSQL 10 High Performance

PostgreSQL 10 High Performance

2.5 (2)
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 (23 chapters)
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Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Sources of bad results and variation


There are many ways to get bad results from pgbench, ones that don't mean anything valid. And there are even more ways to get results that vary so much from one pgbench run to another that they don't mean what you would imagine them to. Normally you should run any pgbench test at least three times and observe the average and variation before presuming that test is valid. Taking the middle of three results is a common median technique for filtering those results into a single one for comparison.

You must let the test run for a while to get useful results. As a general rule of thumb, if you haven't executed a minute's worth of runtime, you're unlikely to have gotten useful results at all. The main exception is the SELECT only test, which can give useful results in a small number of seconds. Generally, if you've seen more than 100,000 transactions, that's enough that you can start to believe the results, and fast hardware can execute that may SELECT statements...

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