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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

Hot Standby


PostgreSQL has shipped with an integrated standby feature since its 8.2 version. This allows creating a master/standby pair of nodes, where the standby regularly receives a log of database updates from the master. With the currently common warm standby configuration, introduced in PostgreSQL 8.2, this allows a high availability setup where, if the master is lost, the slave can be brought up quickly to replace it.

Starting with PostgreSQL 9.0, it's possible to run queries against the standby server or servers as well. This Hot Standby feature lets you scale up read workload by using a pool of multiple read-only servers. You just need to architect your application so that all writes go to the master node.

Terminology

There are several terms that you need to know in order to follow any discussion of warm or Hot Standby setups:

  • Write-ahead log (WAL): PostgreSQL writes information to a series of WAL files, in segments of 16 MB in size, before making corresponding changes to the database...

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