PostgreSQL Query Optimization

PostgreSQL Query Optimization
PDF, ePUB

Book Description
Write optimized queries. This book helps you write queries that perform fast and deliver results on time. You will learn that query optimization is not a dark art practiced by a small, secretive cabal of sorcerers. Any motivated professional can learn to write efficient queries from the get-go and capably optimize existing queries. You will learn to look at the process of writing a query from the database engine’s point of view, and know how to think like the database optimizer.
The book begins with a discussion of what a performant system is and progresses to measuring performance and setting performance goals. It introduces different classes of queries and optimization techniques suitable to each, such as the use of indexes and specific join algorithms. You will learn to read and understand query execution plans along with techniques for influencing those plans for better performance. The book also covers advanced topics such as the use of functions and procedures, dynamic SQL, and generated queries. All of these techniques are then used together to produce performant applications, avoiding the pitfalls of object-relational mappers.

What You Will Learn
  • Identify optimization goals in OLTP and OLAP systems
  • Read and understand PostgreSQL execution plans
  • Distinguish between short queries and long queries
  • Choose the right optimization technique for each query type
  • Identify indexes that will improve query performance
  • Optimize full table scans
  • Avoid the pitfalls of object-relational mapping systems
  • Optimize the entire application rather than just database queries

Who This Book Is For
IT professionals working in PostgreSQL who want to develop performant and scalable applications, anyone whose job title contains the words “database developer” or “database administrator" or who is a backend developer charged with programming database calls, and system architects involved in the overall design of application systems running against a PostgreSQL database

Content

Chapter 1: Why Optimize?
Chapter 2: Theory: Yes, We Need It!
Chapter 3: Even More Theory: Algorithms
Chapter 4: Understanding Execution Plans
Chapter 5: Short Queries and Indexes
Chapter 6: Long Queries and Full Scans
Chapter 7: Long Queries: Additional Techniques
Chapter 8: Optimizing Data Modification
Chapter 9: Design Matters
Chapter 10: Application Development and Performance
Chapter 11: Functions
Chapter 12: Dynamic SQL
Chapter 13: Avoiding the Pitfalls of Object-Relational Mapping
Chapter 14: More Complex Filtering and Search
Chapter 15: Ultimate Optimization Algorithm
Chapter 16: Conclusion

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