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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

Summary

Every form of partitioning in PostgreSQL currently requires a moderate amount of manual setup. Accordingly, it's not something you want to do by default. There needs to be sufficient justification in terms of expected improvement in scalability before partitioning your tables will make sense. When it is effective, partitioning can dramatically speed up some types of queries against the database, improving overall system efficiency.

Partitioning large tables normally makes sense when they or the active portion of a database as a whole exceeds the total amount of memory in the server. Choosing what key field to partition over needs to carefully review all queries made against the table, to make sure they are selective against that field. Individual partitions need to be created manually, along with having any constraints, indexes, or permissions against the parent applied...

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