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Learning PostgreSQL 11

You're reading from   Learning PostgreSQL 11 A beginner's guide to building high-performance PostgreSQL database solutions

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Product type Paperback
Published in Jan 2019
Publisher
ISBN-13 9781789535464
Length 556 pages
Edition 3rd Edition
Languages
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Authors (2):
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Andrey Volkov Andrey Volkov
Author Profile Icon Andrey Volkov
Andrey Volkov
Christopher Travers Christopher Travers
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Christopher Travers
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Toc

Table of Contents (18) Chapters Close

1. Relational Databases FREE CHAPTER 2. PostgreSQL in Action 3. PostgreSQL Basic Building Blocks 4. PostgreSQL Advanced Building Blocks 5. SQL Language 6. Advanced Query Writing 7. Server-Side Programming with PL/pgSQL 8. OLAP and Data Warehousing 9. Beyond Conventional Data Types 10. Transactions and Concurrency Control 11. PostgreSQL Security 12. The PostgreSQL Catalog 13. Optimizing Database Performance 14. Testing 15. Using PostgreSQL in Python Applications 16. Scalability 17. What's Next? 18. Other Books You May Enjoy

Table partitioning

Table partitioning is used to increase performance by physically arranging data in the hard disk based on a certain grouping criteria. There are two techniques for table partitioning:

  • Vertical table partitioning: The table is divided into several tables to decrease the row size. This allows a faster sequential scan on divided tables, as a relation page holds more rows. To explain, let's assume that we want to store pictures for each client in the database by adding a column of the byte or blob type to the client table. Now, since we have a table that might contain a big row, the number of rows per page is reduced. To solve this, you can create another table that references the client table, as follows:
CREATE TABLE client_picture (
id int primary key,
client_id int references client(id),
picture bytea NOT NULL
);
  • Horizontal table partitioning: This is used...
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