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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 disk results


Here's a summary of what was measured for the laptop drive tested in detail previously, as well as a desktop drive both alone and in a RAID array as a second useful data point:

Disks

Seq read

Seq write

Bonnie++ seeks

sysbench seeks

Commits per sec

Seagate 320GB 7200.4 laptop

71

58

232 @ 4GB

194 @ 4GB

105 or 1048

WD160GB 7200RPM

59

54

177 @ 16GB

56 @ 100GB

10212

3X WD160GB RAID 0

125

119

371 @ 16GB

60 @ 100GB

10855

 

Note how all the seek-related information is reported here relative to the size of the area being used to seek over. This is a good habit to adopt. Also note that in the laptop rate, two commit rates are reported. The lower value is without the write cache enabled (just under the rotation rate of 120 rotations/second), while the higher one has it turned on, and is therefore providing an unsafe, volatile write cache.

The other two samples use an Areca ARC-1210 controller with a 256 MB battery-backed write cache, which is why the commit rate is so high, yet still safe. The hard drive...

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