Author: The PostgreSQL Global Development Group
Publisher: Fultus Corporation
Release Date: 2009-08
Welcome to the PostgreSQL 8.4 Official Documentation - Volume I. The SQL Language! After many years of development, PostgreSQL has become feature-complete in many areas. This release shows a targeted approach to adding features (e.g., authentication, monitoring, space reuse), and adds capabilities defined in the later SQL standards.
Author: Arie Jones
Publisher: John Wiley & Sons
Release Date: 2005-04-29
Gives programmers two–in–one coverage, with both a "how–to" on SQL functions and a complete SQL functions reference SQL is the standard language for database queries; this book′s advanced coverage helps programmers write their own SQL functions Covers both the internationally standardized SQL 99 functions and the hundreds of additional functions introduced by vendors, including the subtle variations required to successfully migrate or interoperate between vendor products Covers the latest versions of the major relational database management system (RDMS) applications: Microsoft SQL Server, Oracle, IBM DB2, and MySQL
Through example-driven recipes, with plenty of code, focused on the most vital features of the latest PostgreSQL version (9.4), both administrators and developers will follow short, specific guides to understand and leverage useful Postgre functionalities to create better and more efficient databases.
Leverage the power of PostgreSQL 11 to build powerful database and data warehousing applications Key Features Monitor, secure, and fine-tune your PostgreSQL 11 database Learn client-side and server-side programming using SQL and PL/pgSQL Discover tips on implementing efficient database solutions Book Description 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. What you will learn Understand the basics of relational databases, relational algebra, and data modeling Install a PostgreSQL server, create a database, and implement your data model Create tables and views, define indexes and stored procedures, and implement triggers Make use of advanced data types such as Arrays, hstore, and JSONB Connect your Python applications to PostgreSQL and work with data efficiently Identify bottlenecks to enhance reliability and performance of database applications Who this book is for This book is for you if you're interested in learning about PostgreSQL from scratch. Those looking to build solid database or data warehousing applications or wanting to get up to speed with the latest features of PostgreSQL 11 will also find this book useful. No prior knowledge of database programming or administration is required to get started.
This pocket reference provides quick reference information that will help you use SQLPlus, Oracle's interactive query tool. It summarizes all of the SQLPlus syntax, including the syntax for new Oracle8irelease 8.1.6 features. SQLPlus is available at every Oracle site--from the largest data warehouse to the smallest single-user system--and it's a critical tool for virtually every Oracle user. Despite its wide use, few developers and DBAs know how powerful a tool SQLPlus can be. This book boils down the most vital information from Gennick's best-selling book,Oracle SQLPlus: The Definitive Guide, into an accessible summary. It concisely describes interacting with SQLPlus, selecting data, formatting reports with SQLPlus, and tuning SQL queries. It also contains quick references to the SQLPlus commands and format elements. This book is an indispensable companion to O'Reilly bestselling book,Oracle SQLPlus: The Definitive Guide, but it does not replace it; the larger book is truly the definitive guide, suitable for readers at all levels of expertise. The definitive guide describes the many tasks that SQLPlus can perform, and provides a tutorial on many SQLPlus topics. But this quick reference is an excellent, portable resource for readers who want a pocket-sized summary of SQLPlus capabilities and a reminder of how to issue specific commands and formatting options for SQL*Plus. Table of Contents: Interacting with SQLPlus Selecting Data Formatting Reports Tuning SQL SQLPlus Format Elements SQL*Plus Command Reference
Essential SQLAlchemy introduces a high-level open-source code library that makes it easier for Python programmers to access relational databases such as Oracle, DB2, MySQL, PostgreSQL, and SQLite. SQLAlchemy has become increasingly popular since its release, but it still lacks good offline documentation. This practical book fills the gap, and because a developer wrote it, you get an objective look at SQLAlchemy's tools rather than an advocate's description of all the "cool" features. SQLAlchemy includes both a database server-independent SQL expression language and an object-relational mapper (ORM) that lets you map "plain old Python objects" (POPOs) to database tables without substantially changing your existing Python code. Essential SQLAlchemy demonstrates how to use the library to create a simple database application, walks you through simple queries, and explains how to use SQLAlchemy to connect to multiple databases simultaneously with the same Metadata. You also learn how to: Create custom types to be used in your schema, and when it's useful to use custom rather than built-in types Run queries, updates, and deletes with SQLAlchemy's SQL expression language Build an object mapper with SQLAlchemy, and understand the differences between this and active record patterns used in other ORMs Create objects, save them to a session, and flush them to the database Use SQLAlchemy to model object oriented inheritance Provide a declarative, active record pattern for use with SQLAlchemy using the Elixir extension Use the SQLSoup extension to provide an automatic metadata and object model based on database reflection In addition, you'll learn how and when to use other extensions to SQLAlchemy, including AssociationProxy, OrderingList, and more. Essential SQLAlchemy is the much-needed guide for every Python developer using this code library. Instead of a feature-by-feature documentation, this book takes an "essentials" approach that gives you exactly what you need to become productive with SQLAlchemy right away.