Google App Engine编程

出版时间：2011-1  出版社：东南大学出版社  作者：Dan Sanderson 丹·桑德森  页数：367  
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内容概要

　　google app
engine是一种与众不同的云计算服务：它为构建自动扩展的百万用户级应用提供了简单的模型。在《google app
engine编程》中，你将获得来自专家的实用指南，帮助你用奸这个强大的平台。google工程师dan
sanderson将向你展示如何设计可扩展的应用，以及如何使用app engine的api和可扩展服务完成一般的开发任务。
　　你将学习appengine的应用服务器架构、运行时环境和可扩展的数据存储，还有优化应用的相关技巧。app
engine可以提供几乎无限的计算能力，《google app
engine编程:英文版》给出了简明扼要的指导，以便最大化利用其资源——信息来自app engine开发团队。
　　 ·发现传统web开发和app engine开发之间的差异
　　 ·学习app engine python和java运行时环境的细节
　　 ·理解app engine如何处理web请求并执行应用代码
　　 ·学习如何使用app engine的可扩展数据存储，包括查询和索引、事务以及数据建模
　　 ·使用任务队列在基础设施中并行化和分布工作
　　 ·轻松部署和管理应用

作者简介

　　Dan
Sanderson是一位技术作家、Google公司的软件工程师。他作为Google、Amazon．com和Walt
Disney互联网集团的软件工程师和技术作家在Web行业工作超过十年。

书籍目录

preface xiii
1. introducing google app engine
 the runtime environment
 the static file servers
 the datastore
 entities and properties
 queries and indexes
 transactions
 the services
 google accounts
 task queues and cron jobs
 developer tools
 the administration console
 things app engine doesn’t do...yet
 getting started
2. creating an application
 setting up the sdk
 installing the python sdk
 installing the java sdk
 developing the application
 the user preferences pattern
 developing a python app
 developing a java app
 the development console
 registering the application
 the application id and title
 setting up a domain name
 google apps and authentication
 uploading the application
 introducing the administration console
3. handling web requests
 the app engine architecture
 configuring the frontend
 configuring a python app
 configuring a java app
 domain names
 app ids and versions
 request handlers
 static files and resource files
 secure connections
 authorization with google accounts
 how the app is run
 the python runtime environment
 the java runtime environment
 the sandbox
 app caching
 logging
 quotas and limits
 request limits
 cpu limits
 service limits
 deployment limits
 billable quotas
 resource usage headers
4. datastore entities
 entities, keys, and properties
 introducing the python datastore api
 introducing the java datastore api
 property values
 strings, text, and blobs
 unset versus the null value
 multivalued properties
 keys and key objects
 using entities
 getting entities using keys
 inspecting entity objects
 saving entities
 deleting entities
5. datastore queries
6. datastore transactions
7. data modeling with python
8. the java persistence api
9. the memory cache 227
10. fetching urls and web resources
11. sending and receiving mail and instant messages
12. bulk data operations and remote access
13. task queues and scheduled tasks
14. the django web application framework
15. deploying and managing applications
index

章节摘录

版权页：插图：The Java environment runs applications built for the Java 6 Virtual Machine 0VM）.An app can be developed using the Java programming language, or most other lan-guages that compile to or otherwise run in the JVM, such as PHP （using Quercus）,Ruby （using JRuby）, JavaScript （using the Rhino interpreter）, Scala, and Groovy. Theapp accesses the environment and services using interfaces based on web industrystandards, including Java servlets and the Java Persistence API （JPA）. Any Java tech-nology that functions within the sandbox restrictions can run on App Engine, makingit suitable for many existing frameworks and libraries. Notably, App Engine fully sup-ports Google Web Toolkit （GWT）, a framework for rich web applications that lets youwrite all of the app's code——including the user interface——in the Java language, andhave your rich graphical app work with all major browsers without plug-ins.The Python environment runs apps written in the Python 2.5 programming language,using a custom version of CPython, the official Python interpreter. App Engine invokesa Python app using CGI, a widely supported application interface standard. An appli-cation can use most of Python's large and excellent standard library, as well as rich APIsand libraries for accessing services and modeling data. Many open source Python webapplication frameworks work with App Engine, such as Django, web2py, and Pylons,and App Engine even includes a simple framework of its own.The Java and Python environments use the same application server model: a request isrouted to an app server, the application is started on the app server （if necessary） andinvoked to handle the request to produce a response, and the response is returned tothe client. Each environment runs its interpreter （the JVM or the Python interpreter）with sandbox restrictions, such that any attempt to use a feature of the language or alibrary that would require access outside of the sandbox fails with an exception.

媒体关注与评论

“毋庸置疑，这是最全面、易读以及内容最新的App Engine图书。我想这么说是恰如其分的，如果你从头到尾一页不漏地读完这本书，那么现在肯定是App Engine专家了。”　　——Kevin Gibbs技术领导者兼经理，Google App Engine团队

编辑推荐

《Google App Engine编程(影印版)》：·发现传统web开发和app engine开发之间的差异·学习app engine python和java运行时环境的细节·理解app engine如何处理web请求并执行应用代码·学习如何使用app engine的可扩展数据存储，包括查询和索引、事务以及数据建模·使用任务队列在基础设施中并行化和分布工作·轻松部署和管理应用