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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 (23 chapters)
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Title Page
Dedication
Packt Upsell
Contributors
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Preface
Index

Contributors

About the authors

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 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.

 

 

 

Enrico Pirozzi, EnterpriseDB certified on implementation management and tuning, with a master's in computer science, has been a PostgreSQL DBA since 2003. Based in Italy, he has been providing database advice to clients in industries such as manufacturing and web development for 10 years. He has been training others on PostgreSQL since 2008. Dedicated to open source technology since early in his career, he is a cofounder of the PostgreSQL Italian mailing list, PostgreSQL-it, and of the PostgreSQL Italian community site, PSQL.it.

About the reviewer

Feng Tan is from China. He is a member of the China PostgreSQL User Group Association and a special expert in the PostgreSQL branch of China OSS (Open Source Software) Promotion Union. He is one of the translators of PostgreSQL 9 Administration Cookbook Chinese Edition, as well as a technical reviewer of PostgreSQL High Performance Cookbook English Edition.

He was a PostgreSQL DBA at SkyMobi for more than 6 years, maintaining over 100 PostgreSQL instances. He likes to share PostgreSQL technology a lot and has posted over 500 tech blogs.

 

Srivathsava Rangarajan is a lead software engineer at a publicly traded financial company in downtown Chicago. He was introduced to PostgreSQL after an interesting start in the NoSQL world of CouchDB and Cassandra. Impressed with PostgreSQL's robustness, he is now its avid advocate for the right applications and co-organizes the Chicago PostgreSQL User Group to help in its adoption. He loves data and helps spread the understanding of data structures, domains, and data models to foster healthier interactions with databases.

 

 

 

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