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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 10. Query Optimization

For some database administrators and application developers, query optimization is the most important part of database performance tuning. Earlier chapters have wandered some distance from there, because if your fundamental server setup isn't good, no amount of query tuning will help you. But things like selecting good hardware for a database server are rare. Figuring out why a query is slow and how to improve it is something you can expect to happen all the time. This is particularly true because query plans drift over time, and some aspects of your database will become less efficient. Maintenance to improve the latter problem is covered in the next few chapters. How queries execute and improving that execution is this chapter's topic.

The chapter will cover the following topics:

  • Explanation of the EXPLAIN command
  • Query plan node structure
  • Cost computation
  • Processing nodes
  • Scans
  • Subquery scan and subplan
  • CTE scan
  • Joins
  • Statistics

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