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  • Book Overview & Buying PostgreSQL 10 High Performance
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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

Chapter 13. Pooling and Caching

One of the unfortunate limitations of any database software, one that's particularly apparent in PostgreSQL, is that there is a lot of overhead you're paying for, even when executing really simple queries. If you have a complicated join happening, you should be happy to pay the expense of query optimization. But if you're just reading a simple table, the overheads for opening a database connection and waiting for that query to execute can be higher than you'd like.

There are two common approaches for reducing that overhead, pooling and caching, and both are introduced in this chapter. This sort of software is external to the database, is relatively complicated to set up, and its use is very application dependent. Accordingly, the focus here is on general theory rather than trying to show a working example. It's unlikely any one example would translate into your environment very well anyway.

We will be covering the following topics in this chapter:

  • A connection...

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