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  • Book Overview & Buying PostgreSQL 11 Administration Cookbook
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PostgreSQL 11 Administration Cookbook

PostgreSQL 11 Administration Cookbook

By : Simon Riggs, Gianni Ciolli, Meesala
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PostgreSQL 11 Administration Cookbook

PostgreSQL 11 Administration Cookbook

5 (1)
By: Simon Riggs, Gianni Ciolli, Meesala

Overview of this book

PostgreSQL is a powerful, open source database management system with an enviable reputation for high performance and stability. With many new features in its arsenal, PostgreSQL 11 allows you to scale up your PostgreSQL infrastructure. This book takes a step-by-step, recipe-based approach to effective PostgreSQL administration. The book will introduce you to new features such as logical replication, native table partitioning, additional query parallelism, and much more to help you to understand and control, crash recovery and plan backups. You will learn how to tackle a variety of problems and pain points for any database administrator such as creating tables, managing views, improving performance, and securing your database. As you make steady progress, the book will draw attention to important topics such as monitoring roles, backup, and recovery of your PostgreSQL 11 database to help you understand roles and produce a summary of log files, ensuring high availability, concurrency, and replication. By the end of this book, you will have the necessary knowledge to manage your PostgreSQL 11 database efficiently.
Table of Contents (14 chapters)
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Finding slow SQL statements

There are two main kinds of slowness that can manifest themselves in a database.

The first kind is a single query that can be too slow to be really usable, such as a customer information query in a CRM running for minutes, a password check query running in tens of seconds, or a daily data aggregation query running for more than a day. These can be found by logging queries that take over a certain amount of time, either at the client end or in the database.

The second kind is a query that is run frequently (say a few thousand times a second) and used to run in single-digit milliseconds, but is now running in several tens or even hundreds of milliseconds, hence slowing the system down. This kind of slowness is much harder to find.

Here, we will show you several ways to find the statements that are either slow or cause the database...

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PostgreSQL 11 Administration Cookbook
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