PostgreSQL 10 High Performance

Leverage the power of PostgreSQL 10 to design, administer and maintain a high-performance database solution About This Book * Obtain optimal PostgreSQL 10 database performance, ranging from initial design to routine maintenance * Fine tune the performance of your queries and avoid the common pitfalls that can slow your system down * Contains tips and tricks on scaling successful database installations, and ensuring a highly available PostgreSQL solution Who This Book Is For This book is designed for database administrators and PostgreSQL architects who already use or plan to exploit the features of PostgreSQL 10 to design and maintain a high-performance PostgreSQL database. A working knowledge of SQL, and some experience with PostgreSQL will be helpful in getting the most out of this book. What You Will Learn * Learn best practices for scaling PostgreSQL 10 installations * Uncover the best hardware for developing high-performance PostgreSQL applications * Benchmark your whole system – from hardware to application * Learn by real examples how the server parameters impact performance * Discover PostgreSQL 10 features on partitioning and parallel query * Monitor your server, both in and outside of the database * Design and implement a good replication system on PostgreSQL 10 In Detail PostgreSQL database servers have a common set of problems they encounter as their usage gets heavier and requirements more demanding. You could spend years discovering solutions to them all, step by step as you encounter them. Or you can just look in here. All successful database applications are destined to eventually run into issues scaling up their performance. 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. Monitor every layer, from hardware to queries, using some tools that are inside PostgreSQL and others that are external. Using monitoring insight, continuously rework the design and configuration. On reaching the limits of a single server, 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 — add this at the end of the section.

Table of Contents

Chapter 1. PostgreSQL Versions
Chapter 2. Database Hardware
Chapter 3. Database Hardware Benchmarking
Chapter 4. Disk Setup
Chapter 5. Memory for Database Caching
Chapter 6. Server Configuration Tuning
Chapter 7. Routine Maintenance
Chapter 8. Database Benchmarking
Chapter 9. Database Indexing
Chapter 10. Query Optimization
Chapter 11. Database Activity and Statistics
Chapter 12. Monitoring and Trending
Chapter 13. Pooling and Caching
Chapter 14. Scaling with Replication
Chapter 15. Partitioning Data
Chapter 16. Avoiding Common Problems
Chapter 17. Other Books You May Enjoy