You are previewing Programming Google App Engine.

Programming Google App Engine

Cover of Programming Google App Engine by Dan Sanderson Published by O'Reilly Media, Inc.
  1. Programming Google App Engine
    1. SPECIAL OFFER: Upgrade this ebook with O’Reilly
    2. Preface
      1. Using This Book
      2. Conventions Used in This Book
      3. Using Code Samples
      4. Safari® Books Online
      5. How to Contact Us
      6. Acknowledgments
    3. 1. Introducing Google App Engine
      1. The Runtime Environment
      2. The Static File Servers
      3. The Datastore
      4. The Services
      5. Google Accounts
      6. Task Queues and Cron Jobs
      7. Developer Tools
      8. The Administration Console
      9. Things App Engine Doesn’t Do...Yet
      10. Getting Started
    4. 2. Creating an Application
      1. Setting Up the SDK
      2. Developing the Application
      3. Registering the Application
      4. Uploading the Application
      5. Introducing the Administration Console
    5. 3. Handling Web Requests
      1. The App Engine Architecture
      2. Configuring the Frontend
      3. How the App Is Run
      4. Quotas and Limits
    6. 4. Datastore Entities
      1. Entities, Keys, and Properties
      2. Introducing the Python Datastore API
      3. Introducing the Java Datastore API
      4. Property Values
      5. Keys and Key Objects
      6. Using Entities
    7. 5. Datastore Queries
      1. Queries and Kinds
      2. Query Results and Keys
      3. GQL
      4. The Python Query API
      5. The Java Query API
      6. Introducing Indexes
      7. Automatic Indexes and Simple Queries
      8. Custom Indexes and Complex Queries
      9. Not-Equal and IN Filters
      10. Unset and Nonindexed Properties
      11. Sort Orders and Value Types
      12. Queries and Multivalued Properties
      13. Configuring Indexes
    8. 6. Datastore Transactions
      1. Entities and Entity Groups
      2. What Can Happen in a Transaction
      3. Transactions in Python
      4. Transactions in Java
      5. How Entities Are Updated
      6. How Entities Are Read
      7. Batch Updates
      8. How Indexes Are Updated
    9. 7. Data Modeling with Python
      1. Models and Properties
      2. Property Declarations
      3. Modeling Relationships
      4. Model Inheritance
      5. Queries and PolyModels
      6. Creating Your Own Property Classes
    10. 8. The Java Persistence API
      1. Setting Up JPA
      2. Entities and Keys
      3. Entity Properties
      4. Embedded Objects
      5. Saving, Fetching, and Deleting Objects
      6. Transactions in JPA
      7. Queries and JPQL
      8. Relationships
      9. For More Information
    11. 9. The Memory Cache
      1. The Python Memcache API
      2. The Java Memcache API
    12. 10. Fetching URLs and Web Resources
      1. Fetching URLs in Python
      2. Fetching URLs in Java
      3. Asynchronous Requests in Python
    13. 11. Sending and Receiving Mail and Instant Messages
      1. Enabling Inbound Services
      2. Sending Email Messages
      3. Receiving Email Messages
      4. Sending XMPP Messages
      5. Receiving XMPP Messages
    14. 12. Bulk Data Operations and Remote Access
      1. Setting Up the Remote API for Python
      2. Setting Up the Remote API for Java
      3. Using the Bulk Loader Tool
      4. Using the Remote Shell Tool
      5. Using the Remote API from a Script
    15. 13. Task Queues and Scheduled Tasks
      1. Task Queues
      2. Scheduled Tasks
    16. 14. The Django Web Application Framework
      1. Installing Django
      2. Creating a Django Project
      3. The Request Handler Script
      4. The Django App Engine Helper
      5. Creating a Django Application
      6. Using App Engine Models With Django
      7. Using Django Unit Tests and Fixtures
      8. Using Django Forms
    17. 15. Deploying and Managing Applications
      1. Uploading an Application
      2. Using Versions
      3. Managing Service Configuration
      4. Managing Indexes
      5. Browsing and Downloading Logs
      6. Inspecting the Datastore
      7. Application Settings
      8. Managing Developers
      9. Quotas and Billing
      10. Getting Help
    18. Index
    19. About the Author
    20. Colophon
    21. SPECIAL OFFER: Upgrade this ebook with O’Reilly
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Chapter 8. The Java Persistence API

The App Engine Java SDK includes implementations of two data access interface standards: the Java Persistence API (JPA) and Java Data Objects (JDO). These interfaces provide two essential features.

For one, these interfaces define a mechanism for describing the structure of data objects in terms of Java classes. You can use them to define and enforce consistent data schemas on top of App Engine’s schemaless datastore, and take advantage of type safety in the Java language. These interfaces serve as a data modeling layer.

Because each interface is a standard supported by other popular data storage solutions, using a standard interface makes it easier to port an application to and from these other solutions. Different databases have varying degrees of support for these standards. Since the standards were developed with SQL-based relational databases in mind, the App Engine datastore can only be said to support a portion of the standard, and it is often easier to port away from App Engine than to it. But this alone adds value, as you can reserve the right to move your app to your company’s own servers at any time. These interfaces are a portability layer.

The App Engine SDK uses an open source product called DataNucleus Access Platform as the basis for its implementations of JDO and JPA. Access Platform uses an adapter layer that translates both standards to an underlying implementation. The App Engine SDK includes an Access Platform adapter based on ...

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