Book Description
PostgreSQL is one of the most popular open source databases in the world, and supports the most advanced features included in SQL standards and beyond. This book will familiarize you with the latest new features released in PostgreSQL 10, and get you up and running with building efficient PostgreSQL database solutions from scratch.
We’ll start with the concepts of relational databases and their core principles. Then you’ll get 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, you’ll get to know the concepts of Data Manipulation Language (DML) and PostgreSQL server-side programming capabilities using PL/pgSQL. This will give you a very robust background to develop, tune, test, and troubleshoot your database application. 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.
What You Will Learn
- Understand the fundamentals of relational databases, relational algebra, and data modeling
- Install a PostgreSQL cluster, create a database, and implement your data model
- Create tables and views, define indexes, and implement triggers, stored procedures, and other schema objects
- Use the Structured Query Language (SQL) to manipulate data in the database
- Implement business logic on the server side with triggers and stored procedures using PL/pgSQL
- Make use of advanced data types supported by PostgreSQL 10: Arrays, hstore, JSONB, and others
- Develop OLAP database solutions using the most recent features of PostgreSQL 10
- Connect your Python applications to a PostgreSQL database and work with the data efficiently
- Test your database code, find bottlenecks, improve performance, and enhance the reliability of the database applications
Table of Contents
1: Relational Databases
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
