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PostgreSQL 16 Administration Cookbook

PostgreSQL 16 Administration Cookbook

By : GIANNI CIOLLI, Boriss Mejías, Jimmy Angelakos, Vibhor Kumar, Simon Riggs
4.8 (27)
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PostgreSQL 16 Administration Cookbook

PostgreSQL 16 Administration Cookbook

4.8 (27)
By: GIANNI CIOLLI, Boriss Mejías, Jimmy Angelakos, Vibhor Kumar, Simon Riggs

Overview of this book

PostgreSQL has seen a huge increase in its customer base in the past few years and is becoming one of the go-to solutions for anyone who has a database-specific challenge. This PostgreSQL book touches on all the fundamentals of Database Administration in a problem-solution format. It is intended to be the perfect desk reference guide. This new edition focuses on recipes based on the new PostgreSQL 16 release. The additions include handling complex batch loading scenarios with the SQL MERGE statement, security improvements, running Postgres on Kubernetes or with TPA and Ansible, and more. This edition also focuses on certain performance gains, such as query optimization, and the acceleration of specific operations, such as sort. It will help you understand roles, ensuring high availability, concurrency, and replication. It also draws your attention to aspects like validating backups, recovery, monitoring, and scaling aspects. This book will act as a one-stop solution to all your real-world database administration challenges. By the end of this book, you will be able to manage, monitor, and replicate your PostgreSQL 16 database for efficient administration and maintenance with the best practices from experts.
Table of Contents (15 chapters)
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13
Other Books You May Enjoy
14
Index

EDB Postgres Distributed

PGD is a project aiming to provide multi-master replication with PostgreSQL. There is a range of possible architectures. The first use case we support is all-nodes-to-all-nodes. PGD will eventually support a range of complex architectures, which will be discussed later.

With PGD, the nodes in a cluster can be distributed physically, allowing worldwide access to data, as well as DR. Each PGD primary node runs individual transactions; there is no globally distributed transaction manager. PGD includes replication of data changes such as DML, as well as DDL changes. New tables are added automatically to replication, ensuring that managing PGD is a low-maintenance overhead for applications.

PGD also provides global sequences, if you wish to have a sequence that works across a distributed system where each node can generate new IDs. The usual local sequences are not replicated.

One key advantage of PGD is that you can segregate your write workload across...

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