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《SQL袖珍参考手册(第3版,涵盖DB2,MySQL,Oracle,PostgreSQL,SQL Server)》(SQL Pocket Guide: A Guide to SQL Usage)英文文字版/更新源代码[PDF]

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  • 摘要:
    图书分类软件
    出版社O'Reilly
    发行时间2010年11月
    语言英文
  • 时间: 2011/06/18 22:33:51 发布 | 2011/06/19 01:05:55 更新
  • 分类: 图书  计算机与网络 

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中文名SQL袖珍参考手册(第3版,涵盖DB2,MySQL,Oracle,PostgreSQL,SQL Server)
原名SQL Pocket Guide: A Guide to SQL Usage
图书分类软件
资源格式PDF
版本英文文字版/更新源代码
出版社O'Reilly
书号978-1-4493-9409-7
发行时间2010年11月
地区美国
语言英文
简介

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内容介绍:

If you're a programmer or database administrator who uses SQL in your day-to-day work, this popular pocket guide is the ideal on-the-job reference. You'll find many examples that address the language's complexity, along with key aspects of SQL used in IBM DB2 Release 9.7, MySQL 5.1, Oracle Database 11g Release 2, PostgreSQL 9.0, and Microsoft SQL Server 2008 Release 2.

All example SQL statements in this book execute against a set of tables, with data that you can quickly download. The third edition covers important database changes, including:

Oracle's support of the recursive WITH syntax, and addition of PIVOT and UNPIVOT operators
Functions new to Oracle, such as LISTAGG, NTH_VALUE, and more
PostgreSQL’s support of recursive WITH and some window functions
DB2 syntax and datatypes, some compatible with Oracle
MySQL features such as the TIMESTAMP type and the TO_SECONDS function

内容截图:

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目录

Introduction
Analytic Functions
CASE Expressions: Simple
CASE Expressions: Searched
CAST Function
CONNECT BY Queries
Data Type Conversion
Data Types: Binary Integer
Data Types: Character String
Data Types: Datetime
Data Types: Decimal
Datetime Conversions: DB2
Datetime Conversions: MySQL
Datetime Conversions: Oracle
Datetime Conversions: PostgreSQL
Datetime Conversions: SQL Server
Datetime Functions: DB2
Datetime Functions: MySQL
Datetime Functions: Oracle
Datetime Functions: PostgreSQL
Datetime Functions: SQL Server
Deleting Data
EXTRACT Function
GREATEST
Grouping and Summarizing
Hierarchical Queries
Indexes, Creating
Indexes, Removing
Inserting Data
Joining Tables
LEAST
Literals
Merging Data
Nulls
Numeric Conversions: DB2
Numeric Conversions: MySQL
Numeric Conversions: Oracle
Numeric Conversions: PostgreSQL
Numeric Conversions: SQL Server
Numeric/Math Functions
OLAP Functions
Pivoting and Unpivoting
Predicates
Recursive Queries
Regular Expressions
Selecting Data
String Functions
Subqueries
Tables, Creating
Tables, Dropping
Tables, Modifying
Transaction Management
Union Queries
Updating Data
Window Functions

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