PostgreSQL 10 High Performance

PostgreSQL 10 High Performance Book Cover
PostgreSQL 10 High Performance Expert techniques for query optimization, high availability, and
efficient database maintenance
By 作者: Enrico Pirozzi - Ibrar Ahmed - Gregory Smith
ISBN-10 书号: 1788474481
ISBN-13 书号: 9781788474481
Release Finelybook 出版日期: 2018-04-30
Pages 页数: 508

The Book Description robot was collected from Amazon and arranged by Finelybook

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

Contents


1: POSTGRESQL VERSIONS
2: DATABASE HARDWARE
3: DATABASE HARDWARE BENCHMARKING
4: DISK SETUP
5: MEMORY FOR DATABASE CACHING
6: SERVER CONFIGURATION TUNING
7: ROUTINE MAINTENANCE
8: DATABASE BENCHMARKING
9: DATABASE INDEXING
10: QUERY OPTIMIZATION
11: DATABASE ACTIVITY AND STATISTICS
12: MONITORING AND TRENDING
13: POOLING AND CACHING
14: SCALING WITH REPLICATION
15: PARTITIONING DATA
16: AVOIDING COMMON PROBLEMS
What You Will Learn
Learn best practices for scaling PostgreSQL 10 installations
Discover the best hardware for developing high-performance PostgreSQL applications
Benchmark your whole system – from hardware to application
Learn by real examples how server parameters impact performance
Discover PostgreSQL 10 features for partitioning and parallel query
Monitor your server, both inside and outside the database
Design and implement a good replication system on PostgreSQL 10
Authors
Ibrar Ahmed
Ibrar Ahmed is a senior database architect in an Enterprise PostgreSQL company. He started his development career in 1999. He has contributed to the PostgreSQL community, the company's PostgreSQL fork, and other open source communities such as Google Chrome. He also has experience in MySQL, Oracle, MongoDB and Hadoop (Hive, Hbase, Spark). He is a major contributor in integrating other databases with PostgreSQL. He also authored PostgreSQL Developer's Guide. He has a master's in computer science (1999) and MS in computer engineering (2015), and is finalizing his PhD.
Gregory Smith
Gregory Smith is a chief PostgreSQL evangelist in Charleston, South Carolina, for Crunchy Data Solutions. He's been providing database advice to clients in industries such as manufacturing, finance, and web development for 20 years. He has contributed feature additions to every PostgreSQL version since 8.3. He's also the creator of a growing set of add-on tools for the database, currently including PgTune, pgbench-tools, peg, and 2warm.
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