Book Image

Learning PostgreSQL 11 - Third Edition

By : Salahaldin Juba, Andrey Volkov

Book Image

Learning PostgreSQL 11 - Third Edition

By: Salahaldin Juba, Andrey Volkov

Overview of this book

PostgreSQL is one of the most popular open source database management systems in the world, and it supports advanced features included in SQL standards. This book will familiarize you with the latest features in PostgreSQL 11, and get you up and running with building efficient PostgreSQL database solutions from scratch. Learning PostgreSQL, 11 begins by covering the concepts of relational databases and their core principles. You’ll explore the Data Definition Language (DDL) and commonly used DDL commands supported by ANSI SQL. You’ll also learn how to create tables, define integrity constraints, build indexes, and set up views and other schema objects. As you advance, you’ll come to understand Data Manipulation Language (DML) and server-side programming capabilities using PL/pgSQL, giving you a robust background to develop, tune, test, and troubleshoot your database application. The book will guide you in exploring NoSQL capabilities and connecting to your database to manipulate data objects. You’ll get to grips with using data warehousing in analytical solutions and reports, and scaling the database for high availability and performance. By the end of this book, you’ll have gained a thorough understanding of PostgreSQL 11 and developed the necessary skills to build efficient database solutions.

Free Chapter

Relational Databases

Relational Databases

Database management systems

Relational and object-relational databases

Relational algebra

PostgreSQL in Action

PostgreSQL in Action

An overview of PostgreSQL

PostgreSQL capabilities

Installing PostgreSQL

PostgreSQL Basic Building Blocks

PostgreSQL Basic Building Blocks

Database coding

PostgreSQL object hierarchy

PostgreSQL database components

PostgreSQL native data types

The car web portal database

PostgreSQL Advanced Building Blocks

PostgreSQL Advanced Building Blocks

User-defined data types

Trigger and rule systems

SQL Language

SQL fundamentals

Querying data with SELECT statements

Changing the data in a database

Advanced Query Writing

Advanced Query Writing

Common table expressions

Window functions

Advanced SQL techniques

Server-Side Programming with PL/pgSQL

Server-Side Programming with PL/pgSQL

The SQL language and PL/pgSQL – a comparison

Functions and procedures – a comparison

PostgreSQL function parameters

The PostgreSQL PL/pgSQL control statements

Function predefined variables

Exception handling

OLAP and Data Warehousing

OLAP and Data Warehousing

Online analytical processing

Index-only scans

Beyond Conventional Data Types

Beyond Conventional Data Types

The hash store data structure

The JSON data structure

A PostgreSQL full-text search

Transactions and Concurrency Control

Transactions and Concurrency Control

Explicit locking

Transaction in functions and procedures

PostgreSQL Security

PostgreSQL Security

Authentication in PostgreSQL

Authentication best practices

PostgreSQL default access privileges

Role system and proxy authentication

PostgreSQL security levels

Encrypting data

The PostgreSQL Catalog

The PostgreSQL Catalog

The system catalog

System catalog for administrators

Cleaning up the database

Tuning for performance

Optimizing Database Performance

Optimizing Database Performance

PostgreSQL configuration tuning

Tuning performance for write

Tuning performance for read

Detecting problems in query plans

Common mistakes in writing queries

Table partitioning

Query rewriting

Testing

Technical requirements

Database-abstraction interfaces

Using PostgreSQL in Python Applications

Using PostgreSQL in Python Applications

Technical requirements

Python DB-API 2.0

Low-level database access with Psycopg 2

Alternative drivers for PostgreSQL

Object-relational mapping with SQLAlchemy

Scalability

Technical requirements

The problem of scalability and the CAP theorem

Data replication in PostgreSQL

Building a scalable PostgreSQL solution

Further reading

What's Next?

Working with PostgreSQL software

Working with data in PostgreSQL databases

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Summary

In this chapter, we covered some aspects of software testing and how it applies to databases.

Unit-testing techniques can be used when developing code in a database, such as functions or triggers. Test-driven development is a very good approach to software development. Unit testing in databases has its own specificity. Unit tests for databases could be written as SQL scripts or stored functions in the database. There are several frameworks that help to implement unit tests and process the results of testing.

Another aspect of testing the database software is to compare data in the same database or between databases to test the results of refactoring the data model. This can be done via SQL queries, and sometimes requires establishing connections between databases. Connections between databases can be established via foreign data wrapper objects or database links.

Database...