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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

Replication solution comparison


Replication is very much an area where there is no one-size fits all solution. You need to match the solution chosen to what your specific problems and prioritization are. The main replication options break down based on what method they use to replicate and whether that replication is synchronous or not:

Program

Replication method

Synchronization

WAL shipping

Master/slave

Asynchronous

Logical replication

Master/slave

Asynchronous

Slony

Master/slave

Asynchronous

Londiste

Master/slave

Asynchronous

Mammoth

Master/slave

Asynchronous

Bucardo

Master/slave or Master/master

Asynchronous

Rubyrep

Master/slave or Master/master

Asynchronous

PgCluster

Master/master

Synchronous

Postgres-XC

Master/master

Synchronous

pgpool-II

Statement-based middleware

Synchronous

 

The main difference between the various master/slave solutions is how the database changes are derived.

Hot Standby starting from PostgreSQL 9.0 allows running queries against the type of standby databases used in early versions, only for high...

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