Showing posts with label GlassFish. Show all posts
Showing posts with label GlassFish. Show all posts

Friday, May 2, 2014

Book Review: Java EE 7 with GlassFish 4 Application Server

David R. Heffelfinger's Java EE 7 with GlassFish 4 Application Server has been published by Packt Publishing. The subtitle of this book is "A practical guide to install and configure the GlassFish 4 application server and develop Java EE 7 applications to be deployed to this server."

The Preface of Java EE 7 with GlassFish 4 Application Server states that JDK 7 (or newer), GlassFish 4.0, and Maven are needed to build and run the examples in this book. The Preface also expects that readers are expected to have "familiarity with the Java language" and that the book is intended for Java developers wanting to learn Java EE or current Java EE developers wanting to learn about the newest specification.

Chapter 1: Getting Started with GlassFish

The first chapter of Java EE 7 with GlassFish 4 Application Server begins by briefly describing GlassFish and by providing a high-level overview of the new features of Java EE 7. The new Java EE 7 specifications covered at this high level are JavaServer Faces (JSF) 2.2, Java Persistence API (JPA) 2.1, Java API for RESTful Web Services (JAX-RS) 2.0, Java Message Service (JMS) 2.0, Java API for JSON Processing (JSON-P) 1.0, and Java API for WebSocket 1.0.

Chapter 1 lists two of the primary advantages of using GlassFish as a Java EE application server: it being the reference implementation and, as such, it providing implementations of the latest and newest Java EE features. There is no mention of what I perceive to be GlassFish 4's biggest disadvantage: Oracle has declined to provide commercial support for GlassFish 4.

The initial chapter demonstrates how to download GlassFish 4 and mentions that it is also available bundled with NetBeans IDE ("Java EE" or "All" bundles) since version 7.4. The chapter shows the basics of installing the downloaded GlassFish and assumes that JDK 1.7 or later (note there have been rumors of GlassFish 4 not working well on JDK 8 yet) has been installed and that the Java application launcher is available from the environment's path.

Starting GlassFish from the command-line using the well-known (to previous users of GlassFish) asadmin start-domain command is demonstrated in Chapter 1. The chapter shows bringing up a web browser with the URL http://localhost:8080 to verify that GlassFish is running and then demonstrates using the web-based administrative console at URL http://localhost:4848 to deploy a WAR (simpleapp.war) provided on the book's Packt Publishing site. This chapter also demonstrates using the web-based Administrative Console to undeploy the web application as well before demonstrating two ways to deploy the WAR from the command line (by copying the WAR into the autodeploy directory and by using the asadmin deploy command).

Chapter 1 introduces GlassFish domains as a concept and then explains how to work with them using appropriate asadmin domain commands create-domain, delete-domain, and stop-domain.

This meaty first chapter concludes with a demonstration of how to configure GlassFish to use a JDBC driver for working with a relational database. The example specifically demonstrates configuration of a MySQL database driver and datasource, but the author points out that the examples in the rest of the book that work with relational databases use the Apache Derby-based JavaDB that comes bundled with GlassFish.

Nothing in this first chapter on downloading, installing, deploying to, and configuring a data source for GlassFish seems different to me from previous versions of GlassFish. I believe that experienced GlassFish users who are reading Java EE 7 with GlassFish 4 Application Server to learn the new Java EE 7 features and new GlassFish 4 features could skip most of the introductory chapter with the exception of the section providing concisely worded high-level overviews of the new Java EE 7 features. For readers entirely new to GlassFish, this chapter provides a nice starting point for everything you need to do to get GlassFish up and running for use with examples later in the book.

Chapter 2: JavaServer Faces

The second chapter of Java EE 7 with GlassFish 4 Application Server focuses on JavaServer Faces (JSF), which it describes as "the standard component framework of the Java EE platform." This chapter's coverage includes discussion of Facelets as now (as of Java EE 6/JSF 2.0) JSF's "preferred view technology." The chapter describes how adhering to JSF's expected conventions can lead to minimal required configuration.

Chapter 2 continues its JSF coverage with an example XHTML-based Facelet that is described in detailed text. Along the way, the author explains how to use JSF 2.0 project stages and explains how to specify a project stage to GlassFish as a JNDI resource.

JSF's "built-in input validation capabilities" are covered next. A table of standard JSF validators is provided and there is minor discussion on using Bean Validation with JSF. The chapter also includes discussion on creation of custom validators. The example illustrating custom validators uses Apache Commons Validator. When the chapter includes an example of implementing custom validation methods on Named Beans, it makes use of Apache Commons StringUtils.

After Chapter 2 covers customization of message styles and text, it moves onto a section called "Ajax-enabling JSF applications." This section points out that "JSF 2.0 standardized Ajax support by introducing the <f:ajax> tag" and then provides an example of using that new tag. There is thorough coverage of the Ajax tag, how it works, and what its other options are.

The parts of JSF 2.2 that interest me most and which I looked forward most to reading about in this book are JSF 2.2's HTML5 support and JSF 2.2's Faces Flows. Both subjects are covered well in this chapter with examples and descriptions of those examples.

Chapter 3: Object Relational Mapping with JPA

Chapter 3 is dedicated to Java Persistence API and most of the chapter covers basics of JPA that have been in place well before Java EE 7. The chapter describes JPA as "the standard Java EE Object Relational Mapping (ORM) tool" and provides examples and discussion on using JPA with one-to-one relationships, one-to-many relationships, many-to-many relationships, and composite primary keys. The chapter also introduces Java Persistence Query Language (JPQL).

The third chapter discusses how the Criteria API limitations of JPQL. It also introduces JPA 2.1 (Java EE 7) enhancements to the Criteria API that allow "for updating database data via the CriteriaUpdate interface" because Criteria API could only be used for reading data previously.

Chapter 4: Enterprise JavaBeans

The fourth chapter's focus is Enterprise JavaBeans (EJB), which are introduced as "server side components that encapsulate business logic of an application" and "simplify application development by automatically managing transaction management and security." Two types of EJBs (session beans and message-driven beans) are discussed. Although not necessary anymore, it was interesting (or a walk down memory lane) to read the historical information about how session and entity beans have changed since the days of J2EE.

The examples and discussions regarding Session Enterprise JavaBeans include invocation of these deployed beans from a standalone client using appclient and from a web client using JSF and CDI. The examples also involve JPA, making them very inclusive of the significant Java EE specifications.

This fourth chapter covers several other EJB topics include security, the Timer Service, transactions, and the EJB lifecycle. None of these concepts are new to Java EE 7, but EJBs are of course a significant part of many Java EE applications.

Chapter 5: Contexts and Dependency Injection

Contexts and Dependency Injection (CDI), introduced with Java EE 6, is the subject of Chapter 5. The coverage includes named beans, dependency injection, CDI Qualifiers, and CDI named bean scopes (with particular emphasis on conversation scope).

Chapter 6: JSON Processing with JSON-P

Chapter 6 of Java EE 7 with GlassFish 4 Application Server is about Java API for JSON Processing (JSON-P, JSR 353), a specification new to Java EE 7. The chapter begins by introducing JavaScript Object Notation (JSON) as "a human-readable data interchange format ... derived from JavaScript."

The sixth chapter states that "JSON-P includes two APIs for processing JSON - the Model API and the Streaming API" and covers generating JSON and parsing JSON with each of these two APIs. The examples include code and text descriptions as well as brief descriptions of the advantages and disadvantages of JSON Model API versus JSON Streaming API.

Chapter 7: WebSockets

Like Chapter 6, Chapter 7 covers a specification and feature new to Java EE 7 with its coverage of Java API for WebSocket (JSR 356). The chapter covers development of WebSocket endpoints, development of JavaScript-based WebSocket clients, and development of Java-based WebSocket clients. Significant details regarding JSON-P are covered in this chapter and the author refers the read to the Tyrus User Guide for additional details (Tyrus is the "open source JSR 356 reference implementation").

Chapter 8: The Java Message Service

Chapter 8 of Java EE 7 with GlassFish 4 Application Server continues the streak of chapters covering new Java EE 7 specifications by covering Java Message Service (JMS) 2.0.

This is one of the chapters of Java EE 7 with GlassFish 4 Application Server that includes GlassFish-specific coverage within the topic of a general Java EE 7 specification. In this case, the chapter indicates how to configure GlassFish to use JMS by setting up "a JMS Connection Factory, a message queue, and a message topic." Like Chapter 4 on EJBs, this chapter on JMS also demonstrates using the GlassFish-specific applclient.

Chapter 8 coverage of JMS includes sending and receiving messages to/from queues and topics. It also includes an examples of browsing message queues and creating durable subscribers.

Chapter 9: Securing Java EE Applications

The ninth chapter of Java EE 7 with GlassFish 4 Application Server is on securing Java EE applications with Java Authentication and Authorization Service (JAAS) API and GlassFish. The chapter describes using security realms and covers both preconfigured realms (file, admin-realm, and certificate) and "defining additional realms" (with examples including an LDAP realm, a JDBC realm, and custom realms).

Chapter 10: Web Services with JAX-WS

The final two chapters of Java EE 7 with GlassFish 4 Application Server are on using web services with Java EE and Chapter 10 specifically covers working with SOAP-based web services using Java API for XML Web Services (JAX-WS). Chapter 10 defines web services as "application programming interfaces that can be invoked remotely" and that "can be invoked from clients written in any programming language."

Chapter 10 describes using JAX-WS to develop web services, to develop clients of web services, to add attachments to web services calls, to expose EJBs as web services, and to secure web services. The chapter looks at WSDLs and generating Java from WSDLs using GlassFish's wsimport.

Chapter 11: Developing RESTful Web Services with JAX-RS

The final chapter of Java EE 7 with GlassFish 4 Application Server covers REST-based web services support in Java EE as provided by Java API for RESTful Web Services (JAX-RS). Although this was originally added to enterprise Java with Java EE 6, Java EE 7 introduces JAX-RS 2.0.

Chapter 11 introduces REST and covers basic support for REST-based web services that was added with Java EE 6. This discussion covers basic JAX-RS annotations, using GlassFish logs to analyze working functionality, using curl as a client, and using JAXB for Java/XML binding. The chapter then moves onto discussion of Java EE 7's introduction of "a standard client-side API that we can use to easily develop RESTful web service clients." The chapter concludes with a discussion on query parameters and path parameters (@QueryParam and @PathParam).

Other Observations
  • Java EE 7 with GlassFish 4 Application Server liberally uses full color (in the PDF version I reviewed) screen snapshots that have sufficient resolution to be easy on the eyes and to nicely illustrate the concepts. This was particularly the case in the first chapter on installing and configuring GlassFish 4 and in other chapters dealing with the GlassFish web admin console.
  • I like that Java EE 7 with GlassFish 4 Application Server includes code examples that not only illustrate the points being made, but also include common and useful third-party libraries.
  • Heffelfinger has written other Packt Publishing books on J2EE/Java EE topics and portions of those books are the same across the books. For example, portions of Java EE 7 with GlassFish 4 Application Server are also available in Enterprise JavaBeans, Java EE 5 Development using GlassFish Application Server, and Java EE 6 with GlassFish 3 Application Server. Indeed, Java EE 7 with GlassFish 4 Application Server can be viewed as the third edition of the latter two of those books (it says as much by stating that it was "first published" in October 2007, had a "Second Edition" in July 2010, and the "Third Edition" in March 2014). Much of the Java EE and GlassFish content is the same with this edition adding in Java EE 7 new features and GlassFish 4 coverage. As a third edition, this book is as polished as one expects third editions to be.
  • Although Java EE 7 with GlassFish 4 Application Server explicitly covers GlassFish 4, there is not much that I can see in Java EE 7 with GlassFish 4 Application Server that is unique to GlassFish 4 other than its support for the newly added Java EE 7 specifications. The book is really more focused on Java EE in general and Java EE 7 in particular with GlassFish as the Java EE implementation used to demonstrate the examples. This is a great book for someone wanting to learn new Java EE 7 features and for someone wanting to learn how to use basic GlassFish features in Java EE development. The majority of GlassFish 4's new features are implementations of the new Java EE 7 specifications, so it's not surprising that the differences in this edition are more about Java EE 7 than about GlassFish 4.
  • Java EE 7 with GlassFish 4 Application Server's coverage of Java EE 7 covers it cumulatively rather than covering only features new to Java EE with Java EE 7.
Conclusion

Java EE 7 with GlassFish 4 Application Server provides a polished presentation of Java EE as it stands today with its recently included Java EE 7 specifications. GlassFish 4 is the application server used to demonstrate these Java EE concepts.

Tuesday, December 31, 2013

Significant Software Development Developments of 2013

At the end of each calendar year, I like to summarize some of the most significant developments in the software development industry that happened during the year that is ending. The choice of these is entirely subjective and obviously colored by my own experience, background, perceptions, and preferences. Not worrying about the opinionated content of such a post, I now present the developments in software development that I consider most significant in 2013.

10. Gradle

Gradle appeared to me to enter the mainstream consciousness of software developers in a big way in 2013. I have been watching Gradle's development and playing with it a bit for some time now, but I have noticed that numerous open source projects now mention it prominently, it's referenced in many recently published Java books that aren't even about Gradle specifically, and Google selected Gradle to be delivered with its Android Studio product announced at Google I/O 2013. It took a while for Maven to breakthrough and compete with Ant and I think 2013 is seeing the beginning of Gradle's breakthrough to challenge Maven and Ant for predominance in Java-based build systems. Three books devoted to Gradle (the short Gradle: Beyond the Basics, the more comprehensive Gradle in Action, and the German Gradle: Modernes Build-Management - Grundlagen und Praxiseinsatz) have listed 2013 publication dates.

Gradle's rapidly rising popularity is nearly matched by its torrid rate of new releases. Gradle 1.4 ("faster builds that use less heap space"), Gradle 1.5 ("optimizations to dependency resolution"), Gradle 1.6 (improved Task ordering, "JaCoCo plugin for test coverage," and support for JUnit test categories), Gradle 1.7 ("fastest Gradle ever"), Gradle 1.8 (performance improvements and more native languages support), Gradle 1.9 (bug fixes and HTML dependency report), and Gradle 1.10 ("command-line usability features") were all released in 2013.

Gradle's success does not surprise me. It's Groovy foundation alone offers numerous advantages: Groovy scripts are easier to write procedural build-style code than is XML, Groovy has numerous syntactic shortcuts, Groovy is easily learned and applied by Java developers, Groovy has full JVM access, and Groovy includes built-in Ant support. On top of its inherent advantages from being built on Groovy, Gradle builds many useful and attractive features of its own on top of that Groovy foundation. Gradle adheres to several Ant and Maven conventions and supports Ivy and Maven repositories, making it straightforward to move from Maven or Ant+Ivy to Gradle.

Ruby on Rails helped bring Ruby into mainstream international prominence and, to a lesser degree, Grails helped do the same thing for Groovy. Gradle has the potential to pick up where Grails left off and push Groovy even further into the spotlight.

9. Trend Toward Single Language Development

For several years now, there has been a definite trend toward polyglot programming (polyglot persistence was even on last year's version of this post). Although this trend is likely to continue because some languages are better for scripting than others, some languages are better suited for web development than others, some languages are better suited for desktop development than others, some languages are better suited for realtime and embedded device development than others, some languages are better suited for scientific computing than others, and so on. However, I have seen indications of the pendulum swinging back at least a bit recently.

One of the arguments in favor of Node.js is the ability for JavaScript developers to use the same language on the "front-end" of a web application as on the "back-end." In the post Top Things I learned about development in 2013, Antonin Januska writes, "Working back to front in the same language is awesome." This is, of course, the reason that Java developers have in some cases been resistant to using JavaScript, Flex, or JavaFX Script (now deprecated) for front-ends of their Java applications (and why tools like Google Web Toolkit have been so popular). Java developers who write desktop applications (yes Virginia, desktop applications do exist) often experience the advantages of using the same language front-to-back as well.

One of Ceylon's most promising possibilities is the ability to write code in Ceylon that works on both Java Virtual Machines and JavaScript virtual machines and so could be used front-to-back in a Ceylon-based application. Indeed, the Ceylon page advertises, "[Ceylon] runs on both Java and JavaScript virtual machines, bridging the gap between client and server." Languages commonly associated with the Java Virtual Machine such as Scala and Kotlin also are offering the ability to compile to JavaScript.

A final example of the trend back to a single language in many environments is the use of Python in scientific computing as covered in the post The homogenization of scientific computing, or why Python is steadily eating other languages’ lunch.

I'm not arguing that this trend means that there will only be one main programming language in the future. However, I do believe it is generally human nature to want to use the same language or approach as much as possible because it's what we're familiar with and using the same language helps us to leverage our experience more broadly in the same application. The trend seems to be for each of the major languages (C/C++, Java, JavaScript, Python, .NET languages, etc.) to continue building up their own "stack" to support end-to-end functionality within that language and its ecosystem of frameworks, libraries, and tools. It's no coincidence that once a new language starts to see significant adoption, it quickly begins to see development of a variety of frameworks, libraries, and toolkits that extend the reach of that language.

I also don't want to imply that this is the end of polyglot programming. I don't see any programming language that is the best fit in all cases and there is no doubt that the most valuable developers will be those familiar with more than one programming language.

8. Internet of Things

I first heard about the concept of the Internet of Things at JavaOne 2012 and it got even more attention at JavaOne 2013. Oracle is not the only company touting the Internet of Things. IBM is into the Internet of Things as are many others.

Some believe that 2014 will be the year of the Internet of Things. Tori Wieldt has called "Java and the Internet of Things" one of the "Top Java Stories of 2013." In 2013, two series in Hinkmond Wong's Weblog have focused on the Internet of Things with featured posts on a Thanksgiving Turkey Tweeter and on a Christmas Santa Detector.

Other useful articles with differing opinions on the Internet of Things include The Internet of Things: a tangled web, Here's the Scariest Part of the Internet of Things, The Internet Of Things Will Be Huge—Just Not As Huge As The Hype, Five Challenges For The Internet of Things Ecosystem, The Internet of things will not arrive in 2014, CES 2013: The Break-Out Year For The Internet Of Things, and Here's Why 'The Internet Of Things' Will Be Huge, And Drive Tremendous Value For People And Businesses.

On a lighter (or more dire, depending on your perspective) note related to The Internet of Things, Aaron Pressman writes, "The whole crazy 'Internet of Things' movement to put everything under network control seems tailor made for Hal" (2001: A Space Odyssey).

7. Mobile Development

If someone not familiar with our industry was to start reading our software development social media sites and forums, that person would likely come to the conclusion that the vast majority of software development today is development of mobile applications. I have long argued that blog posts and articles often skew toward more leading-edge topics than established topics for a variety of reasons (perception/reality that established topics are already well-covered, resume building, fun to play with and write about new things, etc.). That being stated, there is no question that mobile development is popular in reality and not just in perception. There is no question that a big part of HTML5's popularity and rapid adoption is the opportunity to write applications in one set of languages (HTML/JavaScript/CSS) that will run on multiple mobile devices. Numerous projects and tools are being released to allow for writing applications in one language and compiling them to native formats for various mobile devices.

6. Responsive Design

At the end of 2012, Pete Cashmore predicted that 2013 would be the "Year of Responsive Web Design" because of its "obvious benefits": "You build a website once, and it works seamlessly across thousands of different screens." I like Jordan Larkin's explanation of responsive web design:

The term "responsive web design" (or responsive mobile design) refers to websites that change and adapt their appearance for optimum viewing on all screen sizes, tablets, smartphones, ipods, kindles along with desktop and laptop computer screens. Occasionally, in the digital arts industry, it is called "fluid design", "adaptive website design" or "RWD". Unresponsive websites do not change to fit different screen sizes, which means they can be difficult to navigate and look at on smaller devices.

As a person who is using a smartphone for an increasing percentage of my daily online activities, but still uses the laptop frequently and the desktop occasionally, I am appreciating firsthand the web site authors whose web sites and pages work well on all of these devices. It's often satisfactory to have two different web sites (one for mobile devices and one for everything else) from a consumer point of view, but this obviously means essentially duplicate code for the site developers. Even from a consumer point of view, there are times when I find the mobile version of a site lacking in features and in those cases it'd be preferable to have the regular site on all devices as long as that regular site appeared nicely on all devices.

The highly informative web site A List Apart has a nice set of articles related to responsive web design.

5. Node.js

JavaScript, despite its flaws, has dominated the web browser for years. Although JavaScript on the server has been available for some time (such as with Rhino and more recently Nashorn in Java), Node.js seems to be doing for JavaScript on the server what Ruby on Rails did for Ruby: the framework is popularizing the language (or in this case, popularizing the language specifically on the server).

2013 has been a big year for Node.js. There are numerous blogs and articles written on it on seemingly a daily basis. Some of these articles include What You Need To Know About Node.js and Node.js keeps stealing Rails' thunder.

Several books on Node.js have been published in 2013. These include Node.js in Action, Learning Node.js: A Hands-On Guide to Building Web Applications in JavaScript, Node.js the Right Way: Practical, Server-Side JavaScript That Scales, Pro Node.js for Developers, Node.js Recipes: A Problem-Solution Approach, Mastering Node.js, Using Node.js for UI Testing, JavaScript on the Server Using Node.js and Express, and the final version of The Node Beginner Book.

4. Big Data

Big Data holds the same #4 spot on my list as it did last year. Apache Hadoop and the R Project are just two examples of popular products/languages riding the Big Data wave. Python too, is increasingly being chosen as the programming language of choice for working with big data sets.

Readers of java.net recently answered a survey regarding Big Data in which the closest thing to a consensus seemed to be that "Big Data Is Probably Significant, but not too Surprising."

3. HTML5

HTML5 saw initial hype, disappointed for a while, and seems to be back on its rapid rise in popularity. I don't call out JavaScript individually in this post, but group it with HTML and CSS as part of HTML5 (and its also grouped with Node.js in this post). Given that HTML5, for purposes of this blog post, represents all of these things, it easily makes my top three significant software development developments in 2013. As mentioned previously with regard to mobile development, HTML5 is a popular approach for generating applications once that can theoretically run on any mobile device.

HTML5 features are seeing increasing standardization in terms of implementations in major browser. JavaScript/HTML libraries such as Angular.js and Ember.js are building on the momentum that jQuery has brought to HTML5 development in recent years.

HTML5's success is even evident in languages not considered part of HTML5 themselves. For example, one of the most heavily advertised new features of Java EE 7 is its HTML5 support. Recent versions of NetBeans IDE (considered primarily a Java IDE despite its multiple language support) have also seemed to emphasize HTML5 among their most important new features in 2013.

2. Security

As more information is online and we depend increasingly on availability of our data online, security continues to be an important issue for software developers. The trend of highly visibility security incidents continued in 2013. These incidents affected Ruby on Rails, Java, and other languages. The increasing frequency of security patches led Oracle to change how it labels the versions of Java SE.

An early 2013 article, Safeguard your code: 17 security tips for developers, outlines tips developers can take to improve the security of their applications. An earlier article in 2013 spelled out the increasing security concerns companies face. The book Java Coding Guidelines: 75 Recommendations for Reliable and Secure Programs has also been published in 2013. The 10 Biggest Security Stories Of 2013 outlines some of the biggest security-related stories of 2013.

1. Technical Dysfunction

Sadly, from a software development perspective, 2013 may be most remembered for the high profile technical glitches that occurred. Words like "debacle," "disaster," and "meltdown" have been associated with these issues and, rightly or wrongly, have reflected poorly on our industry. The most high profile dysfunction has been the embarrassing United States healthcare site healthcare.org. However, the issues that affect reputations and customer confidence have not been limited to government. Wal-Mart and Target, two major retailers in the United States, have had notable web site issues in the latter part of 2013 as well. Cloud-impacting technical dysfunction has occurred in 2013 in several notable cases including Amazon Web Services (AWS) and Google (including the search engine).

There seems to be plenty of blame to go around, but it seems difficult to get a good read on exactly what has caused these high profile technical failures. With healthcare.org, for example, I've seen people blame all types of different culprits including not allotting enough time to the effort, not being agile enough, being too agile, failing for despite agile approaches, failing to estimate user load correctly, getting government involved, etc. Although the real reasons are probably multiple and varied in nature and probably interest software developers more than others, the perception of our industry has gotten dinged up in 2013.

Honorable Mention

Although the developments in software development listed below did not make my top ten, they are significant enough to me to make this "Honorable Mention" category (in no particular or implied order).

JSON

One of the benefits of XML many years now has been the ubiquity of XML support across different languages, tools, frameworks, and libraries. For example, I recently wrote about how easy it is to use Groovy to search Subversion logs because Subversion makes its log output available in XML format and Groovy knows XML well.

JSON has been very popular with developers for some time now, but there have been many cases where standard libraries and tools that supported XML did not support JSON, meaning that developers had to write custom writing/reading code for JSON when using those libraries and tools. I'm beginning to see a lot more JSON support with tools and libraries now. Programming languages are also providing nice JSON parsing/writing capabilities. For example, Groovy has had JSON support for some time and Java EE 7 (JAX-RS 2.0) includes JSON support via the Java API for JSON.

JSON has been prominent enough in 2013 to warrant being included in titles of two Packt Publishing books published in 2013: JavaScript and JSON Essentials and Developing RESTful Services with JAX-RS 2.0, WebSockets, and JSON.

Java EE 7 Released

Java EE 7 was officially released in 2013. In a testament to Java EE's current widespread use and expected potential use of Java EE 7, book publishers have already published several books on Java EE 7 including Java EE 7 First Look, Java EE 7 Essentials, Beginning Java EE 7, Java EE 7 Recipes: A Problem-Solution Approach, Introducing Java EE 7: A Look at What's New, and Java EE 7 Developer Handbook.

Although I've never embraced JavaServer Faces (JSF), the feature of Java EE 7 that has been most interesting to me is the support for Faces Flows. I first read about this feature when reviewing Java EE 7 First Look and Neil Griffin's post Three Cheers for JSF 2.2 Faces Flows have reinforced my interest in this feature. In the post A Realistic JSF 2.2 Faces Flows Example, Reza Rahman supports my opinion that this is a key feature in Java EE 7 to watch with the quote, "Faces Flows are one of the best hidden gems in Java EE 7." Michael and Faces Flows might persuade me to give JavaServer Faces another look.

A recent blog post shows integration of AngularJS with Java EE 7.

Single Page Applications

The advantage of web applications over desktop applications has always been significant easier deployment of web applications than of desktop applications. The cost, however, has been a less fluid experience and sometimes less performing application than could be provided on the desktop. The concept of single-page applications is to make web (and by extension mobile applications that use traditional web technologies) feel and behave more like a "single-page" desktop application. Newer JavaScript libraries such as Meteor are being designed for the "thicker client" style of single-page applications.

The Wikipedia page on Single Page Application lists some technical approaches to implementing this concept. The Manning book Single Page Web Applications was also released in 2013. It's subtitle is "JavaScript end-to-end" (another piece of evidence of the general movement toward a single language).

See the description of Meteor below for another nice explanation of how web development is moving toward what is essentially this concept of single-page applications.

AngularJS

It seems like one cannot read any software development social media sites without running across mention of AngularJS. Although its Google roots are undoubtedly part of its success, AngularJS enjoys success from cleanly addressing significant needs in HTML/JavaScript development (shifting appropriate dynamic functionality from pure JavaScript to HTML with clever binding). In his post 10 Reasons Why You Should Use AngularJS, Dmitri Lau states that "Angular is the only framework that doesn’t make MVC seem like putting lipstick on a pig." Jesus Rodriguez, in his post Why Does Angular.js Rock?, writes that AngularJS "excels in the creation of single-page-applications or even for adding some 'magic' to our classic web applications." K. Scott Allen writes in his post Why Use AngularJS?, "I like Angular because I have fun writing code on top of the framework, and the framework doesn't get in the way."

Ember.js

Ember.js is another JavaScript library seeing significant online coverage in 2013. Ember 1.0 was released on 31 August 2013 and Ember 1.2.0 was released on 4 December 2013.

Like AngularJS and Knockout, Ember.js's approach is to embrace HTML and CSS rather than trying to abstract them away.

Famo.us

The famo.us web page currently requires one to "sign up for the beta" before being able to "experience famo.us." It's subtitle is "a JavaScript engine and framework that solve HTML5 performance." Another famo.us page states, "famo.us is a front end framework that solves performance for HTML5 apps" and "works for phones, tablets, computers and television."

Famo.us is discussed in two late 2013 InfoWorld posts: Did these guys just reinvent the Web? and Fast and flashy: Famo.us JavaScript framework revealed.

At this point, famo.us is still in beta, but it could be big in 2014 if it is able to deliver on what is advertised in 2013.

Meteor

Meteor is described on its main page as "an open source platform" for writing "an entire app in pure JavaScript" and using the "same APIs ... on the client and the server." In the Paul Krill interview Meteor aims to make JavaScript programming fun again, Matt DeBergalis stated that Meteor was created to address the changing web development paradigm often referred to as single-page application:

There is a shift in the Web application platform, and specifically, people are starting to write a new kind of application, what we call a thick client, where most of the code is actually running inside the Web browser itself rather than in a data center. This is an architectural change from running the software in the data center and sending HTML on the wire to a model where we have data on the wire and the actual rendering, the displaying of the user interface, is happening on the client. ... That's why it feels more interactive. It's not page-based like the old Web. It's much more engaging."
MEAN Stack

Having a witty acronym helped advertise and communicate the LAMP stack (Linux, Apache HTTP Server, MySQL/MariaDB, PHP/Perl/Python) and arguably contributed to the adoption of this combination of technologies. With this in mind, I found Valeri Karpov's post The MEAN Stack: MongoDB, ExpressJS, AngularJS and Node.js interesting. The post's author is another who points out the productivity advantages that can be gained from using a single language throughout an application. There is already a book underway: Getting MEAN with Mongo, Express, Angular, and Node. It will be interesting to watch this newly minted terminology and see if the stack and its name come close to the success that the LAMP stack and its name have enjoyed.

Commercial Support Dropped for GlassFish 4

Although it took longer to happen than most people probably anticipated, Oracle's dropping of commercial support for GlassFish 4 was formally announced in 2013 and is what most of us expected when we heard of Oracle purchasing Sun. The future of GlassFish is certainly cloudier now and expectations for GlassFish's future range from it being essentially dead to it thriving as the reference implementation.

Java IDEs

The major Java IDEs continued to add features to their already impressive feature sets in 2013. NetBeans had two major releases in 2013 with 7.3 released in February and 7.4 released in October. These two NetBeans releases added features such as Java EE 7 support, Project Easel for HTML5 development, Groovy 2.0 integration, JSON support, support for new JavaScript libraries (including Angular.js), native Java application packaging, Cordova integration, and improved support for non-JVM languages C/C++ and PHP.

IntelliJ IDEA 13 was released earlier this month. The release announcement highlights support for Java EE 7, improved Spring Framework integration, improved Android support thanks to IntelliJ IDEA Community Edition being used as the basis for Android Studio, improved database handling, and "refined Gradle support." Eclipse is often the IDE chosen for building a more specialized IDE such as Spring IDE (Spring Tool Suite), Scala IDE, or the new Ceylon IDE, so it's a particularly big deal that Google chose IntelliJ IDEA as the basis of its Android Studio.

Speaking of Eclipse, the seemingly most used Java-based IDE (especially when you consider the IDEs derived from it or based on it) also saw new releases in 2013. Eclipse 4.3 (Kepler) was released in 2013. There were also numerous popular plugins for Eclipse released in 2013.

Visual Studio 2013

Sun Microsystems was not the only company that saw desirable advantages and benefits from a single language that could be used at all layers of an application. Microsoft has implemented various efforts (Silverlight) for years to do the same thing. In 2013, Visual Studio 2013 was released with significant enhancements. These enhancements included improved support for languages not specific to Microsoft's .NET framework. Many of these better supported languages are on my list in this post: JavaScript, HTML, CSS, and Python.

Groovy

Groovy's 2.0 release (including static compilation support) made 2012 a big year for Groovy. Although 2013 did not see as significant of enhancements in the Groovy language, the year did start out with the announcement of Groovy 2.1. Perhaps the biggest part of that 2.1 release was Groovy's full incorporation of Java SE 7's invokedynamic, a major Java SE enhancement intended for non-Java languages like Groovy.

Groovy 2.2's release was announced toward the end of 2013. This release improved Groovy's invokedynamic support by adding OSGi manifests to the Groovy's invokedynamic-based JARs.

In The Groovy Conundrum, Andrew Binstock writes that "with the performance issues behind it, Groovy is a language primed for widespread use," but warns that Groovy is a language that is "easy to learn, but hard to master."

As is mentioned more than once in this post, Groovy has had a lot of additional exposure in 2013 thanks to Gradle's rapidly rising popularity. I believe that Gradle will continue to introduce Groovy to developers not familiar with Groovy or will motivate developers who have not looked at Groovy for some time to look at it again.

Scala

It seems to me that Scala continues to gain popularity among Java developers. I continue to see Scala enthusiasts gushing about Scala on various Java and JVM blog comments and forums. One piece of evidence of Scala's continuing and increasing popularity is the number of new books published in 2013 with Scala in their title. These include Scala in Action, Scala Cookbook: Recipes for Object-Oriented and Functional Programming, Functional Programming Patterns in Scala and Clojure: Write Lean Programs for the JVM, Scala Design Patterns: Patterns for Practical Reuse and Design, Play for Scala, Scala Object-Oriented Programming, and Getting Started with SBT for Scala.

For a much better background on what made 2013 a big year for Scala, see Jan Machacek's This Year in Scala (2013).

Ceylon

November 2013 saw "the first production release of the Ceylon language specification, compiler, and IDE." This announcement, available online at Ceylon 1.0.0 is now available, also states, "Ceylon 1.0 is a modern, modular, statically typed programming language for the Java and JavaScript virtual machines." Ceylon offers an Elipse-based IDE and has a formal specification. One of the factors favoring a successful future for Ceylon is its Red Hat sponsorship.

Kotlin

Kotlin is another language that compiles to the Java Virtual Machine or to a JavaScript virtual machine. It also has a strong sponsor in the world of Java in JetBrains, the company behind IntelliJ IDEA. 2013 saw several new releases of Kotlin: Kotlin M5.1, Kotlin M6, Kotlin M6.1, and Kotlin M6.2. I found the blog post Programming Android with Kotlin interesting because it demonstrates use of Kotlin and Gradle to build an Android application.

Go

The Go programming language has had strong backing from Google and continues to receive significant online coverage. Go 1.1 and Go 1.2 (with apparently improved performance) were both released in 2013. Of special interest to me is Go's advertised source code backwards compatibility for all versions 1.x.

Camel

2013 was a big year for Apache Camel, the tool that "empowers you to define routing and mediation rules in a variety of domain-specific languages." Camel-related developments in 2013 included the release of 2.11.0, release of 2.12.0, and release of 2.12.2. These frequent releases and the addition of a new committer and PMC member are among the signs of a healthy open source project.

The release of the Camel Essential Components (DZone Refcardz #170) kicked off 2013 for Camel. Camel got increased attention on software development social media sites in 2013. Zemian Deng's Getting started with Apache Camel using Java was syndicated on Java Code Geeks (as was his Apache Camel using Groovy Introduction) and Niraj Singh's Introduction to Apache Camel was also syndicated on Java Code Geeks. AndrejV's entire blog Just Did Some Code has so far (5 posts in 2013) been devoted to coverage of Camel!

Spring Boot

It's still early to tell because Spring Boot is currently only at version 0.5, but Spring Boot has potential to be be widely adopted and used in the future. It looks like Spring Boot is inspired by and takes advantage of some of the best ideas in Ruby on Rails and Groovy and applies them to easy generation of Spring Framework-based applications.

Python

As stated earlier, Big Data is big and Python is getting a share of that Big Data action. The Continuum Analytics post Python for Big Data states, "Python is a powerful, flexible, open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. ... Python has a unique combination of being both a capable general-purpose programming language as well as being easy to use for analytical and quantitative computing." Tal Yarkoni echoes this statement and observes that his "scientific computing toolbox been steadily homogenizing" on Python.

Python 3.3.1, Python 3.3.2, and Python 3.3.3 were all released in 2013. Cython has joined Pyrex as an alternative for easily writing C extensions with Python syntax and there is even a book on Learning Cython Programming.

The article Python 3.4.0 goes to beta with slew of new modules talks about some of the new features coming with Python 3.4.0 (beta) such as a standard enumeration construct. The article also points out that one of the biggest frustrations with Python remains: the two versions of the language (2.x and 3.x) and no easy route from 2.x to 3.x. From a Java development perspective, I find this interesting because there was a time when arguments like Bruce Eckel's ("People who don't want to deal with these changes don't upgrade, and those people tend not to upgrade anyway") seemed logical and sensible. However, it's not quite as easy as it sounds, particularly when one starts to realize the impact of this on the entire set of products, libraries, and frameworks written for a language that can be heavily impacted and perhaps not usable for some time if ever with the new language.

PHP and HHVM

2013 saw the formal release of the PHP 5.5.x versions: PHP 5.5.0, PHP 5.5.1, PHP 5.5.2, PHP 5.5.3, PHP 5.5.4, PHP 5.5.5, PHP 5.5.6, and PHP 5.5.7.

At the beginning of 2013, Gabriel Manricks outlined reasons Why 2013 is the Year of PHP. Specifically Manricks described tools such as Laravel (including Eloquent ORM), Composer (dependency manager, including Packagist), and PHPUnit (test-driven development in PHP).

The Facebook project HHVM (HipHop Virtual Machine for PHP) was initially released in 2010, but seemed to see a lot more attention in 2013. The original HPHPc compiler compiled PHP into C++ and was another manifestation of the drive to use a single language for authoring an application even if its compiled form was different. The availability of the open source HipHop Virtual Machine (HHVM) for PHP should help address performance issues with PHP; that is seemingly Facebook's primary reason for developing it.

Android Studio

Android Studio was announced at Google I/O 2013 as "a new IDE that’s built with the needs of Android developers in mind" that is "based on the powerful, extensible IntelliJ IDEA Community Edition."

Cloud Computing

Interest in cloud computing remained strong and continued to grow rapidly in 2013. Many of the other items discussed in this post (Big Data, security, technical dysfunctions, etc.) have strong relationships to cloud computing. For more on the biggest cloud stories on 2013, see The 10 Biggest Cloud Stories Of 2013.

Internet Explorer 11

I have not used Internet Explorer except when forced to for a number of years. For a long time, I used Firefox almost exclusively and in recent years I've used Google Chrome almost exclusively on PCs and Firefox on Linux. When I have been forced by a particular web site to use Internet Explorer, I have done reluctantly and am reminded of the much slower performance of the browser than I'm used to in terms of startup and even navigation. I have noticed over this Christmas break, however, when I had to install Internet Explorer 11 manually because the automatic process kept failing, that it's a lot faster than even Internet Explorer 10 was. I still won't make it my primary browser, but it's nice that it performs much better when I do need to use it (such as to play Atari Arcade games without advertisements).

Internet Explorer 11 offers advantages for developers as well as users of the browser. Advertised benefits for developers (and by extension for users of these developers' applications) are improved standards compatibility, new F12 developer tools,

It's not all positive for Internet Explorer 11. Some people seem to want to downgrade to Explorer 10 and reportedly Internet Explorer 11 is presenting some problems for users of Microsoft's own CRM application (after earlier reportedly breaking Google and Outlook access).

It surprises me a bit that the main Microsoft IE URL (http://windows.microsoft.com/en-us/internet-explorer/download-ie) referenced by the Internet Explorer 11 Guide for Developers still advertises downloading of Internet Explorer 9, a version of that browser that Google has already stated they will no longer support.

Windows 8 Not As Successful

Windows 8 seems to be experiencing similar disappointment after Windows 7 that Windows Vista experienced after Windows XP. In fact, The 10 Biggest Software Stories Of 2013 states, "So it looks like Windows 7 will become the new Windows XP -- better get those downgrade rights ready."

Raspberry Pi

The Raspberry Pi continues to catch a lot of interest (2 million had been sold as of October of this year). There were seemingly endless posts on how to do a wide variety of things with the Raspberry Pi. Some of these that stood out most to me are Premium Mathematica software free on budget Raspberry Pi, GertDuino: An Arduino for Your Raspberry Pi, How an open-source computer kit for kids based on Raspberry Pi is taking over Kickstarter, Running OpenJFX on Raspberry Pi, and Simon Ritter: Do You Like Coffee with Your dessert? Java and the Raspberry Pi.

DevOps

The 10 Biggest Software Stories Of 2013 points out that "Cisco, Google and VMware last year invested in Puppet Labs" and that "another DevOps player, Opscode, raised $32 million and changed its name to Chef, the name of its flagship product."

Twitter Bootstrap

Bootstrap (alternatively known as Twitter Bootstrap and Twitter Blueprint) has become so popular and prevalent that there is now a popular (one of DZone's top posts in 2013)

post stating Please stop using Twitter Bootstrap. In August 2013, two years after the public release of Bootstrap, Bootstrap 3 was released (with 3.0.3 released in December). Everybody Should Code

The conversation of whether everybody should or code write code and develop software continued in 2013. Jessica Gross's writes about 10 places where anyone can learn to code and Megan O'Neil's article A Start-Up Aims to Teach Anyone to Write Computer Code features one of these places (Codecademy). Kevin Lindquist writes that software development isn’t just for coders anymore. Katie Elizabeth lists the reasons why everyone should learn to code while Chase Felker wonders if maybe not everybody should learn to code.

In 2013, President Obama (United States) asked America to learn computer science and it may be one of the few things Republicans and Democrats agree on, but Philip Bump argues, No, Mr. President, Not Everyone Needs to Learn How to Code.

SQL Strikes Back

NoSQL implementations have been all the rage for years, but 2013 seemed to present some resurgence in interest in SQL. Some NoSQL implementations added SQL or SQL-like syntax. SQLstream announces Return of the King: The Structured Query Language Is Back! and Jason Levitt and Sean Gallagher write "The hot new technology in Big Data is decades old: SQL."

The truth is that SQL never really went away and is heavily entrenched in software systems, but what is really interesting 2013 is the new thought and effort put into SQL development. word of Google's F1 SQL database ("a hybrid database that combines high availability, the scalability of NoSQL systems like Bigtable, and the consistency and usability of traditional SQL databases") is an example of this. Seth Proctor asks Do All Roads Lead Back to SQL? and writes of "NewSQL." In Software Development Trends for 2014, Werner Schuster states that "Many NoSQL DBs come with SQL or SQL-like languages" and asks, "Are SQL skills back in fashion?"

Conclusion

2013 may be remembered in popular culture as the year of selfies, but the developments in the software development world were far more substantive. In particular, it is interesting to see how developers in general are beginning to (or are remembering to) appreciate the ability to write an application front-to-back in a single language and to write responsive designs so that an application need be written only once for multiple platforms. The advantages of these approaches are not new to JVM (Java/Java EE) or CLR (.NET) developers, but seem to now be better appreciated by the more general developer community.

Previous Years' Significant Software Development Developments

The following are my posts similar to this one on items that I thought were of special import to software development in those respective years. I could definitely go back and add to some of these with things I've learned about since then for each of these years.

Saturday, March 23, 2013

Monitoring Key JVM Characteristics with Groovy, JMX, and RuntimeMXBean

Since J2SE 5, Platform MBeans have been available that allow some key characteristics regarding the JVM to be monitored and (even managed in some cases) via JMX. In addition, many JVM-based applications add their own JMX-enabled features for monitoring and management. In the blog post Groovy, JMX, and the Attach API, I looked at how to display many of the platform-provided MBeans using Groovy, JMX, and the Attach API. In this post, I look at more specific scripts that access a narrowly focused subset of these platform-exposed values available in the RuntimeMXBean.

My previous post demonstrated ability to view a wide spectrum of JVM details with Groovy and JMX. In most cases, I don't need all of these details all at once, but simply need one or two of the items. Although I could use a tool such as JConsole, VisualVM, or even a modern Java IDE to see these details, I sometimes wish to run a simple script to provide the exact results I'm looking for rather than using a general JMX client that I need to start up and navigate to that information. This is where simple scripts such as shown in this post are particularly handy.

All of my examples in this post assume the person running the Java process to be monitored/managed is the same person (same username) running the scripts and that they are being used to monitor Java processes running on the same local machine. This assumption allows the Attach API to be used. If a different user was running the script than ran the Java processes or if the scripts were to be run on remote Java processes, techniques for remote JMX would be used instead. Because the Attach API will be used in these examples, I have placed the code that each example uses in a Groovy script file that each example invokes. That file to be used by all of my scripts is called JmxServer.groovy and is shown next.

JmxServer.groovy
/*
 * JmxServer.groovy
 *
 * Functions meant to be called by other scripts or tools that need to use
 * the Attach API to access an MBeanServerConnection to use to manage and
 * monitor a particular JVM (and possibly the application hosted in that JVM)
 * identified by the provided Process ID (pid)
 */

import javax.management.MBeanServerConnection
import javax.management.ObjectName
import javax.management.remote.JMXConnector
import javax.management.remote.JMXConnectorFactory
import javax.management.remote.JMXServiceURL

import com.sun.tools.attach.VirtualMachine

/**
 * Provide an MBeanServerConnection based on the provided process ID (pid).
 *
 * @param pid Process ID of Java process for which MBeanServerConnection is
 *    desired.
 * @return MBeanServerConnection connecting to Java process identified by pid.
 */
def static MBeanServerConnection retrieveServerConnection(String pid)
{
   def connectorAddressStr = "com.sun.management.jmxremote.localConnectorAddress"
   def jmxUrl = retrieveUrlForPid(pid, connectorAddressStr)
   def jmxConnector = JMXConnectorFactory.connect(jmxUrl)
   return jmxConnector.getMBeanServerConnection()
}

/**
 * Provide JMX URL for attaching to the provided process ID (pid).
 *
 * @param @pid Process ID for which JMX URL is needed to connect.
 * @param @connectorAddressStr String for connecting.
 * @return JMX URL to communicating with Java process identified by pid.
 */
def static JMXServiceURL retrieveUrlForPid(String pid, String connectorAddressStr)
{
   // Attach to the target application's virtual machine
   def vm = VirtualMachine.attach(pid)

   // Obtain Connector Address
   def connectorAddress =
      vm.getAgentProperties().getProperty(connectorAddressStr)

   // Load Agent if no connector address is available
   if (connectorAddress == null)
   {
      def agent = vm.getSystemProperties().getProperty("java.home") +
          File.separator + "lib" + File.separator + "management-agent.jar"
      vm.loadAgent(agent)

      // agent is started, get the connector address
      connectorAddress =
         vm.getAgentProperties().getProperty(connectorAddressStr)
   }

   return new JMXServiceURL(connectorAddress);
}

The most important method defined in JmxServer.groovy, from a script client perspective, is the retrieveServerConnection(String) method. That methods excepts a pid as a process identifier and uses that and a call to the other method, retrieveUrlForPid(String,String) to attach to the Java process identified by that pid and provide an associated MBeanServerConnection instance. The easiest approaches for finding the appropriate Java pid are use of jps (pre-Java 7 and Java 7) or jcmd (Java 7+ only) as I briefly described in my recent post Booting AMX in GlassFish 3 with Groovy.

Having encapsulated the logic for acquiring a particular JVM (Java process's) MBeanServerConnection instance based on a provided pid, it is easy to start constructing simple Groovy scripts that use this provided MBeanServerConnection to provide specific desirable details about the JVM (Java process) in question. Note that all of these example scripts are in the same directory as the JmxServer.groovy file and so do not need to explicitly specify package or scoping details.

It is common to want to know what is on the classpath of a particular JVM for various reasons including detection of causes of ClassNotFoundException and NoClassDefFoundError. The classpath of a particular JVM is exposed by one of its platform MBean ("ClassPath" attribute of RuntimeMXBean) and can be easily discovered with the next Groovy script:

displayClasspath.groovy
#!/usr/bin/env groovy
def pid = args[0]
def javaRuntime = new javax.management.ObjectName("java.lang:type=Runtime")
def classpath = JmxServer.retrieveServerConnection(pid).getAttribute(javaRuntime, "ClassPath")
println "\nClasspath for Java pid (${pid}):\n${classpath}\n"

That same RuntimeMXBean also provides the boot classpath and the Java library path. The next two code listings show Groovy scripts for accessing both of those.

displayBootClasspath.groovy
#!/usr/bin/env groovy
def pid = args[0]
def javaRuntime = new javax.management.ObjectName("java.lang:type=Runtime")
def bootClasspath = JmxServer.retrieveServerConnection(pid).getAttribute(javaRuntime, "BootClassPath")
println "\nBoot Classpath for Java pid (${pid}):\n${bootClasspath}\n"
displayLibraryPath.groovy
#!/usr/bin/env groovy
def pid = args[0]
def javaRuntime = new javax.management.ObjectName("java.lang:type=Runtime")
def libraryPath = JmxServer.retrieveServerConnection(pid).getAttribute(javaRuntime, "LibraryPath")
println "\nLibrary Path for Java pid (${pid}):\n${libraryPath}\n"

The Groovy scripts shown so far for displaying details related finding classes (the classpath, boot classpath, and library path) are all essentially the same script, but with a different attribute looked up on the RuntimeMXBean in each case. All three scripts are executed against a running instance of GlassFish in the following screen snapshot. The snapshot includes commands to jps and jcmd to determine the pid (5352) for the GlassFish instance.

The RuntimeMXBean has more to offer than just information on where classes were loaded from. It also includes attributes related to the JVM vendor such as name and version, but the other three methods that I like to have scripts to use are input arguments, system properties, and JVM uptime (and start time). The next three Groovy code listings show three scripts for displaying these details and each code snippet is followed by a screen snapshot demonstrating that script in action against the same GlassFish instance used in the last examples.

displayInputArguments.groovy
#!/usr/bin/env groovy
def pid = args[0]
def javaRuntime = new javax.management.ObjectName("java.lang:type=Runtime")
def inputArguments = JmxServer.retrieveServerConnection(pid).getAttribute(javaRuntime, "InputArguments")
println "\nInput Arguments for Java pid (${pid}):\n${inputArguments}\n"
displaySystemProperties.groovy
#!/usr/bin/env groovy
def pid = args[0]
def javaRuntime = new javax.management.ObjectName("java.lang:type=Runtime")
def systemProperties = JmxServer.retrieveServerConnection(pid).getAttribute(javaRuntime, "SystemProperties")
println "\nSystem Properties for Java pid (${pid}):\n${systemProperties}\n"
displayJvmUptime.groovy
#!/usr/bin/env groovy
def pid = args[0]
def javaRuntime = new javax.management.ObjectName("java.lang:type=Runtime")
def server = JmxServer.retrieveServerConnection(pid)
def startTime = server.getAttribute(javaRuntime, "StartTime")
def uptime = server.getAttribute(javaRuntime, "Uptime")
println "\nJava process pid (${pid}) was started at ${new Date(startTime)} and has been up for ${uptime} ms.\n"

I have used this post to demonstrate simple Groovy scripts that acquire information from a JVM's Platform RuntimeMXBean such as the JVM's start time and uptime, the system properties and input arguments for the JVM process, and path information such as classpath, boot classpath, and library path. Although this information is available via tools such as JConsole, VisualVM, and Java IDEs (they all get it from the same source as these scripts!), the scripts can be advantageous at times (quicker to run and can be included within other scripts, for example).