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PostgreSQL Query Optimization
The Ultimate Guide to Building Efficient Queries
Taschenbuch von Henrietta Dombrovskaya (u. a.)
Sprache: Englisch

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Beschreibung

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

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
Inhaltsverzeichnis
1. Why Optimize?2. Theory - Yes, We Need It!3. Even More Theory Algorithms4. Understanding Execution Plans5. Short Queries and Indexes6. Long Queries and Full Scans7. Long Queries: Additional Techniques8. Optimizing Data Modification9. Design Matters10. Application Development and Performance11. Functions12. Dynamic SQL13. Avoiding the Pitfalls of Object-Relational Mapping14. More Complex Filtering and Search15. Ultimate Optimization Algorithm
16. Conclusion
Details
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 319
ISBN-13: 9781484268841
ISBN-10: 1484268849
Sprache: Englisch
Herstellernummer: 978-1-4842-6884-1
Autor: Dombrovskaya, Henrietta
Novikov, Boris
Bailliekova, Anna
Auflage: 1st ed.
Hersteller: Apress
Springer, Berlin
Abbildungen: XXIII, 319 p. 116 illus.
Maße: 18 x 178 x 254 mm
Von/Mit: Henrietta Dombrovskaya (u. a.)
Erscheinungsdatum: 23.04.2021
Gewicht: 0,655 kg
preigu-id: 119491019
Inhaltsverzeichnis
1. Why Optimize?2. Theory - Yes, We Need It!3. Even More Theory Algorithms4. Understanding Execution Plans5. Short Queries and Indexes6. Long Queries and Full Scans7. Long Queries: Additional Techniques8. Optimizing Data Modification9. Design Matters10. Application Development and Performance11. Functions12. Dynamic SQL13. Avoiding the Pitfalls of Object-Relational Mapping14. More Complex Filtering and Search15. Ultimate Optimization Algorithm
16. Conclusion
Details
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 319
ISBN-13: 9781484268841
ISBN-10: 1484268849
Sprache: Englisch
Herstellernummer: 978-1-4842-6884-1
Autor: Dombrovskaya, Henrietta
Novikov, Boris
Bailliekova, Anna
Auflage: 1st ed.
Hersteller: Apress
Springer, Berlin
Abbildungen: XXIII, 319 p. 116 illus.
Maße: 18 x 178 x 254 mm
Von/Mit: Henrietta Dombrovskaya (u. a.)
Erscheinungsdatum: 23.04.2021
Gewicht: 0,655 kg
preigu-id: 119491019
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