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  • Book Overview & Buying Mastering PostgreSQL 9.6
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Mastering PostgreSQL 9.6

Mastering PostgreSQL 9.6

By : Hans-Jürgen Schönig
2.7 (3)
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Mastering PostgreSQL 9.6

Mastering PostgreSQL 9.6

2.7 (3)
By: Hans-Jürgen Schönig

Overview of this book

PostgreSQL is an open source database used for handling large datasets (Big Data) and as a JSON document database. It also has applications in the software and web domains. This book will enable you to build better PostgreSQL applications and administer databases more efficiently. We begin by explaining the advanced database design concepts in PostgreSQL 9.6, along with indexing and query optimization. You will also see how to work with event triggers and perform concurrent transactions and table partitioning, along with exploring SQL and server tuning. We will walk you through implementing advanced administrative tasks such as server maintenance and monitoring, replication, recovery and high availability, and much more. You will understand the common and not-so-common troubleshooting problems and how you can overcome them. By the end of this book, you will have an expert-level command of the advanced database functionalities and will be able to implement advanced administrative tasks with PostgreSQL.
Table of Contents (14 chapters)
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1
PostgreSQL Overview

Migrating SQL statements to PostgreSQL

When moving from a database to PostgreSQL it makes sense to take a look and figure out which database engine provides which kind of functionality. Moving the data and the structure itself is usually fairly easy. However, rewriting SQL might not be. Therefore I decided to include a section which explicitly focuses on various advanced features of SQL and their availability in today's database engines.

In this section of this chapter, the most important stuff will be covered. To successfully move a database, it makes sense to understand which features are supported by which database. For the following sections, I have selected the most common database engines and compiled a comparison.

Using lateral joins

In SQL, a lateral...

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