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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

Joins


If all the query planner had to do was decide between index scan types and how to combine them using its wide array of derived nodes, its life would be pretty easy. All the serious complexity in the planner and optimizer relates to joining tables together. Each time another table is added to a list that needs to be joined, the number of possible ways goes up dramatically. If there's, say, three tables to join, you can expect the query plan to consider every possible plan and select the optimal one. But if there are 20 tables to join, there's no possible way it can exhaustively search each join possibility. As there are a variety of techniques available to join each table pair, that further expands the possibilities. The universe of possible plans has to be pruned somehow.

Fundamentally, each way two tables can be joined together gives the same output. The only difference between them is how efficient the result is to execute. All joins consider an outer and inner table. These alternately...

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