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PostgreSQL 10 High Performance

You're reading from   PostgreSQL 10 High Performance Expert techniques for query optimization, high availability, and efficient database maintenance

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788474481
Length 508 pages
Edition 3rd Edition
Languages
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Author (1):
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Enrico Pirozzi Enrico Pirozzi
Author Profile Icon Enrico Pirozzi
Enrico Pirozzi
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Table of Contents (18) Chapters Close

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

Database Indexing

An index is simply an organized list of values that appear in one or more columns in a table. The idea is that if you only want a subset of the rows of that table, a query can use the index to determine which rows match, instead of examining every row. Because an index has an order to it, they can also be used to speed up situations where a section of a table has to be sorted in order to return its values.

Indexes help the database cut down on the amount of data it needs to look at in order to execute a query. It's hard to write about indexes without knowing how queries are executed, and it's hard to discuss query execution without knowing what indexes do. This chapter tries to break that explanation deadlock by using simple index examples, where the associated query plans should make some sense even without the query tuning background covered in the...

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