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Learning PostgreSQL 10

Learning PostgreSQL 10

By : Juba, Volkov
2.3 (6)
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Learning PostgreSQL 10

Learning PostgreSQL 10

2.3 (6)
By: Juba, Volkov

Overview of this book

PostgreSQL is one of the most popular open source databases in the world, supporting the most advanced features included in SQL standards. This book will familiarize you with the latest features released in PostgreSQL 10. We’ll start with a thorough introduction to PostgreSQL and the new features introduced in PostgreSQL 10. We’ll cover the Data Definition Language (DDL) with an emphasis on PostgreSQL, and the common DDL commands supported by ANSI SQL. You’ll learn to create tables, define integrity constraints, build indexes, and set up views and other schema objects. Moving on, we’ll cover the concepts of Data Manipulation Language (DML) and PostgreSQL server-side programming capabilities using PL/pgSQL. We’ll also explore the NoSQL capabilities of PostgreSQL and connect to your PostgreSQL database to manipulate data objects. By the end of this book, you’ll have a thorough understanding of the basics of PostgreSQL 10 and will have the necessary skills to build efficient database solutions.
Table of Contents (17 chapters)
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Partitioning


Data is constantly or periodically loaded into a data warehouse. The database can grow very big. The bigger it gets, the slower it works. The size of the database is limited by the capacity of the disk storage, so the needs to be deleted from time to time. Deletion from a very big table can also be quite slow.

The data that is newer is usually queried more often. Business users could check the reports of the last day every morning, of the last week every Monday, and of the month at the beginning of the next month. It is common to compare results of a time period with a corresponding previous period. For example, the current month as compared to the previous month, or to the respective month one year ago. It is unlikely that somebody would query data that is ten years old.

It would be nice to keep the newer, more queried data in one table that is relatively small and the old data in a different table or tables, and query only the table that has the data for a report that is required...

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