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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

Index creation and maintenance


Creating an index is one of the most intensive operations you can do on a database. When populating a database using tools such as pg_restore, the time spent building indexes can be the longest part of the data loading. And you can't necessarily just ignore them afterwards. Index rebuilding can be an expected part of regular database maintenance, particularly in the case where many rows (but not all of them) are being deleted from a section of an index. There's more information about that topic back in Chapter 7, Routine Maintenance.

Unique indexes

A unique indexes enforces that you won't have more than one row containing a particular key value. These are quite common in proper database design, both for improving performance—an indexed unique lookup is normally fast as well as data integrity, preventing erroneous duplications of data. Only B-tree indexes can currently be used as unique ones.

There are three ways you can create a unique index, only two of which...

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