One of the advantages of an open source community like the one surrounding PostgreSQL is that it's easy to see what other people struggle with. Watch enough of that, and some trouble spots that aren't too difficult to avoid become obvious. Some of the biggest problems people run into are quite fundamental to PostgreSQL: getting VACUUM to work properly, making sure your application acquires locks properly—there's a long list of major things you need to get right. But sometimes the little details can trip you up, instead. The tips covered in this chapter, from bulk loading to profiling might provide the right background information to make your use of the database simpler when dealing with smaller problems, too. And sometimes the answer to your problem is solved simply by using a newer version of PostgreSQL, where it's been engineered out of the...
PostgreSQL 10 High Performance - Third Edition
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PostgreSQL 10 High Performance - Third Edition
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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)
Preface
Free Chapter
PostgreSQL Versions
Database Hardware
Database Hardware Benchmarking
Disk Setup
Memory for Database Caching
Server Configuration Tuning
Routine Maintenance
Database Benchmarking
Database Indexing
Query Optimization
Database Activity and Statistics
Monitoring and Trending
Pooling and Caching
Scaling with Replication
Partitioning Data
Avoiding Common Problems
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