The Good, the Bad, and the Ugly of REST APIs. Adrian Cole of jclouds and I have written a lot of code against a variety of SOAP and REST cloud computing APIs. We've seen a lot of the good, the bad, and the ugly in API design and we tend to complain to each other about the things we dislike. This article sums up my thinking on the subject (not necessarily Adrian's, though Adrian reviewed the document and gave me additional ideas). The Good Supporting both JSON and XML I know you love {JSON,XML} and you think everyone should be using {JSON,XML} and that the people who use {XML,JSON} are simply stupid. REST is good, SOAP is bad Did I just get finished telling you not to make technology decisions for your end-users? Meaningful error messages help a lot When building an API, it's too easy to think about the right way for things to work and you often fail to think about all the mistakes people can make when learning to use your API.
Providing solid API documentation reduces my need for your help Supported operations Default values Error codes. RESTful API Server – Doing it the right way (Part 1) In 2007, Steve Jobs announced the iPhone that revolutionized the technology industry and changed the way we work and do business.
It is 2012 now and increasingly, more and more websites are offering native iOS and Android clients as front ends to their service. Not all startups have the funding to develop apps in addition to their core product. To increase the adoption rate of their product, these companies, release a public API that developers can use to build apps on top. Twitter was probably the first company to be “API first” and now increasingly more number of companies are following this strategy as it is really a great way to build an ecosystem around your product. Startup life is full of pivots. Building Consistent RESTful APIs in a high-performance environment. Jersey 1.17 User Guide. Java - When would you use the Builder Pattern. Standalone web application with executable Tomcat. Do you know the feeling when you discover a bug in a functionality that was working couple of weeks (or versions) ago?
Too bad we didn’t have any automated tests and what used to be fine, now is broken. Let’s take this simple repository as an example: Write test first We noticed that some particular functionality was OK in version 1.0 but is broken in 1.1. What is the first thing we do? Interactive rebasing Maybe instead of committing the test after version 1.1 (where we know it's broken) we should make a patch or stash this test? $ git checkout -b tmp Switched to a new branch 'tmp' $ git rebase -i 1.0 tmp Successfully rebased and updated refs/heads/tmp.
Interactive rebase will ask us to rearrange commits before proceeding, just move commit with test case from last to first position: Now our repository should look somewhat like this: git bisect Most importantly, our test case is now injected right after version 1.0 (known to be good). RESTful Web Services API using Java and MySQL. Are you working with multiple devices like iPhone, Android and Web, then take a look at this post that explains you how to develop a RESTful API in Java.
Representational state transfer (REST) is a software system for distributing the data to different kind of applications. The web service system produce status code response in JSON or XML format. Download War File Download Project Source Database Sample database website table contains four columns id, title, description and url. CREATE TABLE `website` ( `id` int(11) NOT NULL AUTO_INCREMENT, `title` text, `description` text, `url` text,PRIMARY KEY (`id`) ); This tutorial required RESTful service support JAR files jersey-client-1.0.3.jar, jersey-core-1.0.3.jar, jersey-server-1.0.3.jar(Download), jsr311-api-1.0.jar(Download) and asm-3.1.jar(Download).
Download Project Source link contains all these JARs. Previous Tutorials: Java MySQL Insert Record using Jquery. and Java MySQL JSON Display Records using Jquery. package dto; package dao; Final URL.