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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 (18 chapters)
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Other interesting replication projects

There is a wide perception that since PostgreSQL hasn't ever shipped with a complete replication solution (even the streaming replication in 9.0 requires some external code support), its replication options are therefore weak. The opposite is true; because the development community isn't focused on a single replication solution. There are actually so many viable options that just describing them all is a chore. The programs listed in this section don't have the general developer mindshare that the ones already covered do. But most of them have a very specific type of replication problem than they solve better than any of the other alternatives:

  • Mammoth Replicator: Rather than derive statement changes from triggers, Mammoth instead modifies the PostgreSQL source code to generate them. The need for a customized PostgreSQL makes...

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