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REST API Documentation Using JAXRS-ANALYZER
Here;s a look at REST API documentation with the JAXRS-Analyzer. API documents are by default technical catalogs, and developers must have instructions fir requesting service from platforms or systems.
February 20, 2016
by Sam Sepassi
· 29,908 Views · 18 Likes
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Insights From Stackoverflow: Most Voted for Spring 4 Questions
Spring 4 is widely used, but as with any technology, there are loads of questions. Here are the most asked and answered questions on Stackoverflow, like differences in component and controller annotations, and what the Spring framework is actually used for.
February 20, 2016
by Alex Theedom
· 12,374 Views · 15 Likes
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Angular JS Tutorial – MVC and MVVM Design Patterns
In the first part of a series on Angular JS tutorials, the author walks through some design patterns.
February 20, 2016
by Andrei Prikaznov
· 67,099 Views · 9 Likes
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Inter-Process Communication in a Microservices Architecture
In part 3 of our building microservices series, let's explore inter-process communication in a microservices architecture!
February 20, 2016
by Chris Richardson
· 130,729 Views · 51 Likes
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Real-time Data Pipelines with Kafka Connect
Information about Kafka Connect sourced from Spark Summit East 2016.
February 19, 2016
by Tim Spann DZone Core CORE
· 16,744 Views · 5 Likes
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Don't be Careless With Groovy (Un)checked Exceptions
Groovy language introduced many interesting features from Java programmer's point of view. One of them is the lack of differentiation between checked and unchecked exceptions - a nice quality for programmers who struggled with checked exceptions requirements. It turns out, however, that using this neat Groovy feature with existing frameworks can sometimes be tricky which I've experienced lately. I worked with relatively straightforward microservice written in Groovy. It was built on top of Spring Boot 1.3. Among others, it used @RestController to define REST endpoints and @ControllerAdvice to handle exceptions thrown by the controller or its internals. Very simplified example code looks like this (complete source code can be downloaded from https://github.com/yu55/groovy-undeclared-throwable-demo ): import org.springframework.web.bind.annotation.RequestMapping import org.springframework.web.bind.annotation.RestController @RestController class ExampleRestController { @RequestMapping(value = '/get') String get() { /* Lets imagine this exception is thrown somewhere from deepest layers of our service code and we don't have to be immediately aware of this. */ throw new ExampleRestControllerException() } } Controller advice: import org.springframework.web.bind.annotation.ControllerAdvice import org.springframework.web.bind.annotation.ExceptionHandler import org.springframework.web.bind.annotation.ResponseBody @ControllerAdvice class ExampleRestControllerAdvice { @ExceptionHandler(value = ExampleRestControllerException.class) @ResponseBody String onExampleRestControllerException() { return 'ExampleRestControllerException handled in ControllerAdvice' } @ExceptionHandler(value = Exception.class) @ResponseBody String onException() { return 'Exception handled in ControllerAdvice' } } Simple checked exception: class ExampleRestControllerException extends Exception { } When ExampleRestControllerException was thrown, it was handled by onExampleRestControllerException() method in ExampleRestControllerAdvice class. And this worked perfectly fine. But I had to add a simple aspect after the returning of get() method in ExampleRestController to do some additional stuff. @Aspect @Component class RestControllerAspect { @AfterReturning('execution(* org.yu55.ued.controller.ExampleRestController.get())') public void logServiceAccess(JoinPoint joinPoint) { // empty implementation for clarity reasons } With this simple aspect introduced, the microservice began to behave strangely. ExampleRestControllerAdvice started calling the onException() method instead of onExampleRestControllerException() when ExampleRestControllerException was thrown. I didn't expect that. What happened? When the aspect for ExampleRestController.get() method is defined, the Spring generates a proxy for ExampleRestController. Since ExampleRestController doesn't implement any interface, Spring uses CGLIB library instead of java.lang.reflect.Proxy for a dynamic proxy generation [1]. Generated proxy class name is similar to ExampleRestController$$EnhancerBySpringCGLIB$$8d751c8@4481 and it's an ExampleRestController subclass which intercepts all methods calls. There is also another dynamically generated class created: ExampleRestController$$FastClassBySpringCGLIB$$b01891ea which is a ExampleRestController class wrapper. This wrapper class promises faster methods invocations than the Java reflection API [2]. Spring is invoking get() method (via sun.reflect reflection classes) on enhancer class which then invokes get() method (via CGLIB MethodProxy) on fast class instance. When controllers get() method throws ExampleRestControllerException it's rethrown by fast class to an enhancer class and then the enhancer class get() method throwsjava.lang.reflect.UndeclaredThrowableException (which contains ExampleRestControllerException inside). This results in ExampleRestControllerAdvice matchingUndeclaredThrowableException with Exception class and firing handler method different than expected. But why UndeclaredThrowableException is thrown? Because the get() method written in Groovy in fact didn't declare any checked exceptions that it could potentially throw. The proxy doesn't know anything about that controller is written in Groovy and no throws declared means that checked exception may still occur. This behaviour also corresponds to Proxy documentation [3]. The issue can be fixed easily by adding checked exceptions to get() method definition or defining ExampleRestControllerException as runtime exception. Former solution technically works but isn't 'groovy' though and the latter is an approach that Spring prefers and is currently considered to be best practice for exception handling [4]. At the end, I would not blame Groovy for this situation. Instead, I would rather point that despite the fact that Groovy simply don't care about checked exceptions, it doesn't mean that other libraries also don't care. This is not what most programmers think of first when using Groovy. A similar situation may happen with any other JVM language that 'ignores' checked exceptions. The best thing we can do to protect ourselves from situations like this is to prepare tests carefully. Imagine no controller tests for ExampleRestControllerException case - whole application builds and runs perfectly on production until this special case occurs and controller simply returns a wrong answer to the client. A bug like this may not be so obvious and fast to track or fix.
February 19, 2016
by Marcin Pilaczynski
· 20,158 Views · 10 Likes
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Fully Dynamic Classes With ASM
ASM is a Java bytecode manipulation library. Mocking frameworks and runtime code generators use it to dynamically generate Java classes. Here is an introduction to how it works.
February 19, 2016
by Alan Hohn
· 41,199 Views · 16 Likes
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6 Easy Steps to Testing Your Chrome Extension With Selenium
How to use Selenium to test your custom Chrome extensions rather than just your web apps.
February 19, 2016
by Eliran Shani
· 21,028 Views · 2 Likes
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Four Easy Steps to Set Up Multi-Store in OpenCart
OpenCart is one of the most popular eCommerce platforms available on the market today. In this article, we will walk through the simple steps involved in setting up the multi-store feature using a single OpenCart installation.
February 19, 2016
by Saumil Shah
· 10,124 Views · 2 Likes
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Concern Around Mapping and Discussing Shadow Mobile APIs Shows Signs of an Imbalance
It's easy to see what web service calls your mobile app is making, so is it better to be transparent about your API?
February 18, 2016
by Kin Lane
· 3,531 Views · 1 Like
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Loading Data Into Azure SQL Data Warehouse
I’m not an ETL expert. In fact, I haven’t done any professional ETL work for several years. My skills are, at best, rusty. With this in mind, I knew I’d have a hard time extracting data from a local database in order to move it up to Azure SQL Data Warehouse. Read on to hear about my journey.
February 18, 2016
by Grant Fritchey
· 14,290 Views · 6 Likes
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The Most Important Elements of Cloud-Based Applications
Scalability, security, cost savings, integration/connectivity, and stability/availability are all important elements of cloud-based applications.
February 18, 2016
by Tom Smith DZone Core CORE
· 9,135 Views · 3 Likes
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Gradle Goodness: Running Groovy Scripts Using Groovy Command Line
In a previous post, we showed how to execute a Groovy script in our source directories. But, what if we want to use the Groovy command line to execute a Groovy script? Read on and see how it's done.
February 18, 2016
by Hubert Klein Ikkink
· 16,507 Views · 1 Like
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The Rising Popularity of Rapid Mobile App Development
Building mobile apps that fulfil a simple task in record time is becoming more and more popular. Two experts provide their opinion on this trend.
February 18, 2016
by Amy Groden-Morrison
· 6,431 Views · 8 Likes
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How to Build Angular 2 Apps Using Observable Data Services — Pitfalls to Avoid
In this post, we are going to see how an Angular 2 application can be built around the concept of observable data services. Read on to learn more.
February 18, 2016
by Vasco Cavalheiro
· 81,619 Views · 5 Likes
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Docker Daemon for 32-bit Architecture
This post provides the steps required to build a Docker daemon for 32-bit Linux platforms. Read on to see how it's done.
February 17, 2016
by Jim Bugwadia
· 18,037 Views · 5 Likes
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Expecting Failures in Microservices and Working Around Them
Learn more about microservice failures, and ways to circumvent failures in this excerpt from "Microservices in .NET."
February 17, 2016
by Christian Horsdal
· 28,818 Views · 7 Likes
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Making the Impossible Possible with Tachyon: Accelerate Spark Jobs from Hours to Seconds
Barclays Data Scientist Gianmario Spacagna and Harry Powell, Head of Advanced Analytics, describe how they iteratively process raw data directly from the central data warehouse into Spark and how Tachyon is their key enabling technology.
February 16, 2016
by Henry Powell
· 38,141 Views · 8 Likes
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Serialization Must Die
Security issues and problems with serialization of random objects.
February 16, 2016
by Arshan Dabirsiaghi
· 27,016 Views · 18 Likes
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Write JUnit Tests in Spring With Mocked and Real Objects
How to use mocked and non-mocked data to write unit tests using the free and open source JUnit framework.
February 16, 2016
by Saravanan Kandasamy
· 17,392 Views · 7 Likes
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