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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

Sample pgbench test results


The sample test results all come from the sample server and configuration described previously, and are the sort of graph that you get from pgbench-tools each time it is run. These results were all created using PostgreSQL 9.0 and later, allowing up to four pgbench worker threads (one per core).

Select-only test

When running the simple read-only test, results will be very good while the database fits in RAM, then drop off fast after that. Note that the straight line you'll see on all these graphs is always the database size value, which is in units shown by the right axis scale:

This curve has a similar shape no matter what hardware you have. The only thing that changes is where the two big break points are at, depending on how much RAM is in the server. You're limited by the speed of well cached system RAM on the left side, by disk seek rate on the right, and some mix of the two in between.

TPC-B-like test

The scaling diagram has the same basic curve on the write...

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