Google App Engine编程（影印版）

　　google appengine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 appengine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dansanderson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？的相关技巧。appengine可以提供几乎无限的计算能力，《google appengine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

　　桑德森（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。

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
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