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)

Database Indexing

An index is simply an organized list of values that appear in one or more columns in a table. The idea is that if you only want a subset of the rows of that table, a query can use the index to determine which rows match, instead of examining every row. Because an index has an order to it, they can also be used to speed up situations where a section of a table has to be sorted in order to return its values.

Indexes help the database cut down on the amount of data it needs to look at in order to execute a query. It's hard to write about indexes without knowing how queries are executed, and it's hard to discuss query execution without knowing what indexes do. This chapter tries to break that explanation deadlock by using simple index examples, where the associated query plans should make some sense even without the query tuning background covered in the...