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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

Linux filesystems


Linux is a particularly good example to start with for discussing filesystem implementation trade-offs, because it provides all of the common options among its many available filesystems.

ext2

The oldest Linux filesystem still viable for use now, ext2, does not have any journaling available. Therefore, any system that uses it is vulnerable to long recovery times after a crash, which makes it unsuitable for many purposes. You should not put a database volume on ext2. While that might work theoretically, there are many known situations, such as any user error made during the quite complicated fsck  process, which can break the write ordering guarantees expected by the database.

Rather than presuming that you need to start with ext2, a sensible approach is to start with standard ext3, switch to write back ext3 if the WAL disk is not keeping up with its load, and only if that, too, continues to lag behind consider dropping to ext2. Since the WAL writes are sequential, while ones...

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