Название: PostgreSQL 17 QuickStart Pro: Add expertise around WAL processing, JSON table, IO performance, logical replication and index vacuuming Автор: Tessa Vorin
Издательство: GitforGits
Год: 2024
Страниц: 257
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB
PostgreSQL 17 QuickStart Pro is the definitive hands-on, practical book for professionals at every level, from entry-level administrators to seasoned experts. It provides rapid learning and practical implementation of PostgreSQL 17, focusing on the latest features and best practices to effectively manage, configure, and optimize PostgreSQL databases—and it does so effectively.
The book begins by using the Titanic dataset to illustrate practical examples of upgrade strategies, post-upgrade validation, and database configuration. Next, it covers cluster administration, configuration settings, and performance tracking. You will master the management of permissions and roles through intricate role hierarchies, authentication methods, and security settings. Next, we'll optimize server performance, plan queries, and manage resources based on real performance data.
The next section dives deep into complicated data types, bulk data operations, advanced indexing methods, and the creation of triggers and functions, all with an emphasis on effective data management. Next, you will learn about table partitioning strategies, performing physical and logical backups, database restoration, and process automation using BART. We then move on to streaming replication, where we will configure, administer, and monitor replication to ensure optimal uptime. Finally, we will explore point-in-time recovery (PITR), which allows us to restore databases to specific points in time by replaying WAL logs. In short, this book will equip database administrators with the knowledge and skills to confidently handle PostgreSQL 17 databases.
Key Learnings:
Upgrade and configure PostgreSQL 17, including post-upgrade validation and configuration.
Learn PostgreSQL architecture, memory models, and cluster management.
Use hierarchical permissions, authentication, and security for advanced role management.
Tune server performance with query planning, resource management, and configuration tuning.
Effectively use PostgreSQL extensions, JSONB, and arrays.
Optimize queries with GIN, GiST, and BRIN indexing.
Master table partitioning for large dataset performance and scalability.
Automate physical and logical backups and confidently restore databases.
Manage PostgreSQL streaming replication for high availability and automatic failover.
Restore data using WAL logs and Point-in-Time Recovery.
Contents:
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