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020 _a9798868800696
_9979-8-8688-0069-6
024 7 _a10.1007/979-8-8688-0069-6
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aCOM021000
_2bisacsh
072 7 _aUN
_2thema
100 1 _aDombrovskaya, Henrietta.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_969368
245 1 0 _aPostgreSQL Query Optimization
_h[electronic resource] :
_bThe Ultimate Guide to Building Efficient Queries /
_cby Henrietta Dombrovskaya, Boris Novikov, Anna Bailliekova.
250 _a2nd ed. 2024.
264 1 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2024.
300 _aXXV, 344 p. 121 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1. 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. What About Configuration Parameters -- 11. Application Development and Performance -- 12. Functions -- 13. Dynamic SQL -- 14. Avoiding the Pitfalls of Object-Relational Mapping -- 15. More Complex Filtering and Search -- 16. Ultimate Optimization Algorithm -- 17. Conclusion.
520 _aWrite 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. This second edition includes new examples using Postgres 15 and the newest version of the PostgresAir database. It includes additional details and clarifications about advanced topics, and covers configuration parameters in greater depth. Finally, it makes use of advancements in NORM, using automatically generated functions. 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.
650 0 _aDatabase management.
_960571
650 0 _aOpen source software.
_99313
650 1 4 _aDatabase Management.
_960571
650 2 4 _aOpen Source.
_966214
700 1 _aNovikov, Boris.
_eauthor.
_0(orcid)0000-0003-4657-0757
_1https://orcid.org/0000-0003-4657-0757
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_969369
700 1 _aBailliekova, Anna.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_969370
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9798868800689
776 0 8 _iPrinted edition:
_z9798868800702
856 4 0 _uhttps://doi.org/10.1007/979-8-8688-0069-6
912 _aZDB-2-CWD
912 _aZDB-2-SXPC
999 _c57136
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