Download Programming Google App Engine (2nd Edition) by Dan Sanderson PDF

By Dan Sanderson

Retail Quality

Google App Engine makes it effortless to create an internet program which may serve hundreds of thousands of individuals as simply as serving countless numbers, with minimum up-front funding. With Programming Google App Engine, Google engineer Dan Sanderson presents sensible suggestions for designing and constructing your program on Google’s mammoth infrastructure, utilizing App Engine’s scalable prone and easy improvement model.

Through transparent and concise directions, you’ll get the main out of App Engine’s approximately limitless computing strength. This moment variation is absolutely up-to-date and accelerated to hide Python 2.7 and Java 6 help, multithreading, asynchronous carrier APIs, and using frameworks similar to Django 1.3 and webapp2.
* know how App Engine handles internet requests and executes program code
* know about new datastore good points for queries and indexes, transactions, and information modeling
* Create, manage, and serve huge facts documents with the Blobstore
* Use activity queues to parallelize and distribute computation around the infrastructure
* hire scalable providers for electronic mail, rapid messaging, and speaking with internet companies
* song source intake, and optimize your program for pace and value effectiveness

Show description

By Dan Sanderson

Retail Quality

Google App Engine makes it effortless to create an internet program which may serve hundreds of thousands of individuals as simply as serving countless numbers, with minimum up-front funding. With Programming Google App Engine, Google engineer Dan Sanderson presents sensible suggestions for designing and constructing your program on Google’s mammoth infrastructure, utilizing App Engine’s scalable prone and easy improvement model.

Through transparent and concise directions, you’ll get the main out of App Engine’s approximately limitless computing strength. This moment variation is absolutely up-to-date and accelerated to hide Python 2.7 and Java 6 help, multithreading, asynchronous carrier APIs, and using frameworks similar to Django 1.3 and webapp2.
* know how App Engine handles internet requests and executes program code
* know about new datastore good points for queries and indexes, transactions, and information modeling
* Create, manage, and serve huge facts documents with the Blobstore
* Use activity queues to parallelize and distribute computation around the infrastructure
* hire scalable providers for electronic mail, rapid messaging, and speaking with internet companies
* song source intake, and optimize your program for pace and value effectiveness

Show description

Read or Download Programming Google App Engine (2nd Edition) PDF

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Additional info for Programming Google App Engine (2nd Edition)

Sample text

The upgrade can’t do this automatically because it needs your permission to create new symlinks. Installing the Java SDK The App Engine SDK for the Java runtime environment runs on any computer that runs the Java SE Development Kit (JDK). The App Engine for Java SDK supports JDK 6, and when running on App Engine, the Java runtime environment uses the Java 6 JVM and JRE. 0. The actual output varies depending on which specific version you have. 22 | Chapter 2: Creating an Application App Engine Java apps use interfaces and features from Java Enterprise Edition (Java EE).

The plug-in includes a template for creating new App Engine Java apps, as well as a debugging profile for running the app and the development web server in the Eclipse debugger. To deploy a project to App Engine, you just click a button on the Eclipse toolbar. Both SDKs also have cross-platform command-line tools that provide these features. You can use these tools from a command prompt, or otherwise integrate them into your development environment as you see fit. The Java SDK also includes an Apache Ant plug-in that makes it easy to integrate these tasks into an Ant-based workflow.

The Python SDK has a few tools not available in the Java SDK, mostly because the tools are written in Python (and so require that Python be installed). Notably, the Python SDK includes tools for uploading and downloading data to and from the datastore. This is useful for making backups, changing the structure of existing data, and for processing data offline. This tool and others work fine with Java applications, and if you’re using Java, you should consider installing Python and the App Engine Python SDK.

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