PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient Queries

ISBN-13: 9781484268841 / Angielski / Miękka / 2021 / 319 str.

Henrietta Dombrovskaya; Boris Novikov; Anna Bailliekova

Opis

Intermediate-Advanced user level

Spis treści

1. Why Optimize?

2. Theory - Yes, We Need It!

3. Even More Theory Algorithms

4. Understanding Execution Plans

5. Short Queries and Indexes

6. Long Queries and Full Scans

7. Long Queries: Additional Techniques

8. Optimizing Data Modification

9. Design Matters

10. Application Development and Performance

11. Functions

12. Dynamic SQL

13. Avoiding the Pitfalls of Object-Relational Mapping

14. More Complex Filtering and Search

15. Ultimate Optimization Algorithm

16. Conclusion

O autorze

Henrietta Dombrovskaya is a database researcher and developer with over 35 years of academic and industrial experience. She holds a PhD in computer science from the University of Saint Petersburg, Russia. At present, she is Associate Director of Databases at Braviant Holdings, Chicago, Illinois. She is an active member of the PostgreSQL community, a frequent speaker at the PostgreSQL conference, and a local organizer of the Chicago PostgreSQL User Group. Her research interests are tightly coupled with practice and are focused on developing efficient interactions between applications and databases. She is a winner of the “Technologist of the Year” 2019 award of the Illinois Technology Association.

Boris Novikov is currently a professor in the Department of Informatics at National Research University Higher School of Economics in Saint Petersburg, Russia. He graduated from Leningrad University’s School of Mathematics and Mechanics. He has worked for Saint Petersburg University for a number of years and moved to his current position in January, 2019. His research interests are in a broad area of information management and include several aspects of design, development, and tuning of databases, applications, and database management systems. He also has interests in distributed scalable systems for stream processing and analytics.

Anna Bailliekova is Senior Data Engineer at Zendesk. Previously, she built ETL pipelines, data warehouse resources, and reporting tools as a team lead on the Division Operations team at Epic. She has also held analyst roles on a variety of political campaigns and at Greenberg Quinlan Rosner Research. She received her undergraduate degree cum laude with College Honors in political science and computer science from Knox College in Galesburg, Illinois.

Blurb

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.

You will:

• 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