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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

Summary


Every form of partitioning in PostgreSQL currently requires a moderate amount of manual setup. Accordingly, it's not something you want to do by default. There needs to be sufficient justification in terms of expected improvement in scalability before partitioning your tables will make sense. When it is effective, partitioning can dramatically speed up some types of queries against the database, improving overall system efficiency.

Partitioning large tables normally makes sense when they or the active portion of a database as a whole exceeds the total amount of memory in the server. Choosing what key field to partition over needs to carefully review all queries made against the table, to make sure they are selective against that field. Individual partitions need to be created manually, along with having any constraints, indexes, or permissions against the parent applied to them as well.

TRIGGER functions are the easiest way to redirect INSERT, UPDATE, or DELETE statements to move the...

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