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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

Reliable controller and disk setup


PostgreSQL uses a write-ahead log (WAL) to write data in a way that survives a database or hardware crash. This is similar to the log buffer or redo log found in other databases. The database documentation covers the motivation and implementation of the WAL at https://www.postgresql.org/docs/current/static/wal-intro.html.

To quote from that introduction:

"WAL's central concept is that changes to data files (where tables and indexes reside) must be written only after those changes have been logged, that is, after log records describing the changes have been flushed to permanent storage."

This procedure ensures that if your application has received commit for a transaction that transaction is on permanent storage, and will not be lost even if there is a crash. This satisfies the durability portion of the atomicity, consistency, isolation, durability (ACID) expectations that databases aim to satisfy.

The tricky part of the WAL implementation is the flushed to...

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