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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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Vacuum

If you surveyed a set of experienced PostgreSQL database administrators and asked what part of database maintenance requires the most work, the word vacuum would pop up quite often in those conversations. A combination of complexity and some unfortunate terminology choices makes this particular area of database management quite prone to problems and misunderstandings, relative to how little trouble most parts of PostgreSQL administration are.

The need for vacuum flows from the visibility approach described before. The root problem is that clients executing UPDATE or DELETE operations don't know everything happening on the server. They can't make the decision about whether the original, now dead, row can truly be deleted, which is only possible when there are in fact no clients left who need to see it. And sometimes the new rows are never actually committed, leaving...

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