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)

Summary

Properly maintaining every aspect of a database is time-consuming work, but the downside of not doing it can be even worse. This is particularly true when it comes to good vacuuming practice, where routine mistakes can build up over time into extremely expensive operations requiring downtime to fully recover. Similarly, monitoring your query logs to be proactive about finding ones that execute slowly takes regular review, but the downside there can also be downtime if your server falls apart under a heavy load.

MVCC will keep routine read and write conflicts from happening, but you still need to code applications to lock resources when only one session should have access to a row at once.

Any time you UPDATE, DELETE, or ROLLBACK a transaction, it will leave a dead row behind (and potentially a dead index entry) that needs to be cleaned up later by some form of vacuum.

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