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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 (18 chapters)
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Replication queue managers

At the other end of the spectrum, some replication software does statement-based replication. Rather than sending blocks over, the list of transactions made to each table are extracted from the database, typically with triggers. Then those statements can be saved to a queue, shipped to a number of slave nodes, and then executed there. This introduces some non-trivial overhead on the master server because the overhead of the triggers, queue management, and statement shipping is moderate.

However, the resulting copies are then completely independent of the master server and, unlike WAL shipping approaches, you can pick and choose exactly which tables do and don't get shipped to the standby. In addition, since high-level statements are being shipped, the servers don't even need to match perfectly. This form of replication is therefore useful for...

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