While pure object-oriented languages produce mainly exceptions to signal an error, PHP started out as procedural and so it has a wide range of errors that can be raised along with exceptions. Errors are Human, But We Must Identify Them There isn’t a programmer alive who hasn’t made errors when coding something at some point in their career. It is simply a part of the process, and it is important to recognize that we will all make these types of mistakes from time to time. That said, it is best to identify the errors as they occur so as to correct them at the moment. The faster that one can react to the errors that they are making, the better they will be able to correct those same errors and actually make a difference in the programming that they are doing. Put another way, it may be necessary to move rapidly to correct errors so that the project itself doesn’t get knocked off kilter at all. It is all up to you as to how you will move forward when you spot errors, but the best thing to do is remind yourself that this is expected and that you can do things to correct it. What is the difference between the two? Exceptions are objects which can be managed and caught with try/catch blocks. You can create your own exception classes, with custom arguments and methods. They really object with special additional functionalities and you should definitely manage your error with them in PHP 5 and higher. Errors are accompanied by a message like exceptions, but they are managed by calling an error handler function (which may be custom) from the point when they occur. PHP and its native functions generate mostly errors and not exceptions. PDO and the SPL are the exceptions (what a pun) since they have an object-oriented Api which also comprehends exception classes. Exceptions always bubble up until they are caught; errors are instead passed to the current error handler, whose job is to decide what to do with them. With non-severe errors, printing them in bold and going on with execution is the default behavior. Understanding exceptions and their usage is a key topic in transitioning to object-oriented PHP, but is out of the scope of this article. Here we will treat errors since you'll always have to deal with PHP native functions even if your code is so good it only throws exceptions to your custom hierarchy: when you omit a {, an error is generated, not an exception. When a file passed to include() is missing, again an error is generated, not an exception. Most of the time unhandled errors are the result of a programming error: if you get an error to be generated, probably something is already gone really wrong and you shouldn't ignore them. Translation into exceptions However, dealing with errors in an object-oriented way is very difficult: you can't catch them. Thus PHPUnit translates errors into exceptions by defining a custom error handler that throws PHPUnit_Frameworks_Error_Notice or PHPUnit_Framework_Error_Warning in case of manageable errors. PHPUnit will also signal you with an E in the test base in case of an error, while the F is reserved for particular exceptions that designate assertion failures. Nothing stops you from doing the same: by defining your error handler, you can translate the errors of missing files in include() into an exception you can catch. The question is: shall you? Often a missing file, when containing for example the source code of a class, will only result in a more serious error like a Fatl one when the script is allowed to continue. Main error types These are the main types of errors, which were present in the language before PHP 4. The majority of the time during development, you'll only see one of these four error types. E_NOTICE: a noncritical error, like accessing an initialized variable. PHP is very forgiving and will allow the script to continue in production environments. E_WARNING: a more serious error, like passing a non-Traversable to foreach(), or including a missing file. E_PARSE: a syntax error, like a missing } or using a reserved keyword for naming a class. The script won't run at all as these errors are raised at compile (to p codes) time. E_ERROR: also known as Fatal Errors, they are unrecoverable even by the error handler. Calling a method on null, or calling an undefined function, or creating an object of a non-existing class would result in a Fatal Error, which will terminate the script abruptly (even if it is a test suite!) There are many other types of errors, but they are rarer to encounter. The full list is in the PHP manual. From the list, some interesting special errors should be mentioned: E_STRICT: infringement of strict standards, which from PHP 5.3 it is in the default. If you call a non-static method statically (by Class::method()), you will get this error. Enabling strict standards can help you improve your code quality. E_RECOVERABLE_ERROR: a catchable version of Fatal Error, such as trying to convert an object without __toString() into a string. It can be managed by error handlers, while Fatal Errors and of course Parse Errors can't (they leave the interpreter in an unstable state and cause an immediate exit()). php.ini directives There are two directives that are very interesting for managing errors. The first is error_reporting, which prescribes reporting some types of errors while masking others. Typically this value varies between production environments (don't show anything to the end user as it won't understand anyway) and development environments (show me everything as I want to eliminate all errors before shipping.) In fact, in development, I always set error_reporting to E_ALL. Anything else is so '90s. display_errors has also to be set to On for the errors to be printed. When you get a blank page instead of the expected result, check this directive. PHP functions error_reporting() allows you to set which errors to report and override the error_reporting in php.ini, again by using E_ALL and other constants. Note that some errors, like E_PARSE, are detected at compile time and so won't be influenced by this function. set_error_handler() allows you to define your own function to manage errors, which can then delegate to PHP default handler or completely override it. Take-home points Errors are a tricky part of PHP, but knowing how to read them will speed up your development. In your code, always define exceptions, which are much more versatile, but be prepared to manage errors thrown by PHP itself. Most of the time, they're just programming errors like a typo in a variable name or a missing semicolon. However, you should know how to define custom error handlers in case you're forced to deal with runtime errors like a problem with a socket or a database connection.

Last year we saw the launch of a new Web programming language Dart - Structured Web Programming from Google. A very interesting approach to support web application development. Not so long after Go, Groovy, Ruby, Scala, << Name your DSL here >>; we see Dart. Is it a good thing to have at least one programming language to solve one problem? The answer is, like we already know, it depends. Stay Away From “Do it Yourself” It is your choice as to if you will try to do things yourself or allow the truly seasoned professionals to help out. Some decide that they are going to try to go it alone when they are programming something new, but this often ends up in a less than desirable place. It may even be more expensive than just hiring an expert who can help you get it programmed for you in the first place. Most people do not go it alone with the vast majority of important services in their life, so why should they ever attempt to do so when they are looking at how to create a website? It is best to avoid making this mistake, and just try to make some progress towards your goals by hiring people who truly know how to help you make the progress that you need to make. Some important backgrounds you should know about the multi-programming language paradigm are the following: 1. You can read Martin Fowler's article about language-oriented programming with language workbenches which enables you to write small programming languages easily. In this article I see everyone writing their small language, everywhere. In this concept, we see DSL (Domain Specific Language) as the future of our programming activities. Source: http://martinfowler.com/articles/languageWorkbench.html 2. Neal Ford talked about Polyglot Programming, combining multiple programming languages in application development. Later Mr. Fowler added this paradigm with Polyglot Persistence, using different types of databases within one application. Source: http://memeagora.blogspot.com/2006/12/polyglot-programming.html and http://martinfowler.com/bliki/PolyglotPersistence.html Since 2006 I already discussed and collected some experiences in multi programming language paradigm: 1. I remember a “hot” discussion in 2006 with Sebastian Meyen, chief editor of JavaMagazin Germany, also the biggest organizor of Java Conference JAX. We agreed to see the future of programming in a multi-language paradigm concept. I also said that all those languages will be based on Java VM. I also told him that one day SAP will move ABAP as a language that can be run within the Java VM, so just another language within the Java environment, with no two different personalities anymore. Today we see the beginning of this in the project called Caffeine ABAP. Source: https://cw.sdn.sap.com/cw/groups/caffeine 2. Also in 2006 I had a project in which we also used different kinds of languages and also created our own DSL: Java for the most implementation stuff UML for the design of the business objects. We generate a lot of things using the concept of MDA (Model Driven Architecture) Groovy for a lot of things, especially for writing unit tests Based on ANTLR we create our own DSL for some aspects of the application It was really exciting and we had some very good programmers in the project. The result was a very nice and flexible product, just as what we expected at the beginning of the project. Please read this article in the German language for more information: http://www.sigs.de/publications/os/2009/02/dewanto_egger_OS_02_09.pdf So after all those nice things about the multi-language paradigm, I told you, why does this suck at the end? Here are some reasons from my point of view: 1. As typical in application development the problem comes first in the maintenance phase after all the capable programmers leave the project. Did you, programming language creators ever try to teach a new programming language to a “normal”, 9 till 5 programmers? I’m not talking about 9 (am) till 9 (pm) programmers who love to learn new languages. It is definitely tough to be proficient in one programming language. This is comparable with the languages we speak every day. I’m not a native English speaker, so I’m quite sure that I made a lot of syntax and grammar errors in this article. It is possible to be able to speak three or four languages perfectly but this is an exception. 2. Did you ever try to maintain a big Struts web application with AJAX? Just try to add functionality and you will end up creating and editing a lot of files: Action and Form files, Struts XML configuration files, JavaScript files with JSON, and also HTML or JSP files. Can you imagine adding Groovy, Scala, and Dart additionally into that web app? The complexity of such a project is very high. 3. Creating a new programming language means that you also have to build the environment for it. Good IDE, good documentation, good community support, a clear roadmap, and backward compatibility are some points to be done. Groovy is a bad example of this. In the early version of this language, the editor for Eclipse was really bad. After a while, they improved the editor but they made a lot of basic changes in the language so your old groovy applications do not work anymore. You are punished if you update to the new version. This never happens to Java. You still can compile Java 1.1 applications with Java 6 compiler. 4. Before you are creating your own DSL with e.g. ANTLR ask those language Gurus first, how hard it is to maintain a programming language for the long term. Before you discuss with them don’t ever create your own DSL. Especially if you are working for SME (Small and Medium-sized Enterprise). With a small team and small budget, you will never ever maintain your own language decently. So in year 2012, six years after my support to Polyglot Programming, I hope to see following things happen: 1. One language for all aspects in one application is the best concept ever. I name this as “One for All Programming Language paradigm”. Just like we don’t use English as a technical language, German as a literate language, and Indonesian as a community language, to be able to communicate internationally with each other we just use English pragmatically for all aspects of our life. In Germany, you need to speak German in all aspects to be able to communicate with others. My best solution so far is Java + XML, that’s it, no more, no less. No mixing with Groovy, Dart, Ruby, Scala, <> in one application. Especially if you are working as a contractor, please don’t try to use all those languages just for a small Java web application. I don’t say that you should not use the other languages at all. The only thing which is important is not to mix those languages in one application. In SME you may also want to use just one programming language for all your applications. 2. Concept like GWT (Java to JavaScript compiler) or XMLC (XML compiler which compiles XML, HTML to Java classes) is great. You can work just in plain Java. Guice with all Java and no XML is also a great solution (I know that SpringFramework is also doing this with Annotations). Android is great because it uses Java as its application programming language. In conclusion, I can only hope to see more such pure and plain Java solutions in 2012!

Pivotal announced yesterday that Groovy 2.4 And Grails 3.0 will be the last major releases under Pivotal sponsorship. This is big news that has not surprisingly created a lot of buzz in the blogosphere. In this post, I describe some of the questions that others and I are wondering about and speculate on Groovy's future. Groovy’s Future is in Doubt Sadly, it appears at this time that is more likely than not that Groovy does not have a significant future ahead. It would seem that the developers of this program are going to allow it to rot away instead of taking any action steps to potentially stave off such an outcome. It seems from the statements put out by Pivotal that they are likely to nix Groovy due to a general lack of use among its customer base and the inability of the company to keep up with everything that it needs to in order to continue to offer this service to those who are still using it. We are sorry to say that it appears that Groovy is on its way out even though we don’t want it to be. Sometimes, that is just the way that these things go. After reading multiple Reddit references to this announcement, my initial thought was to see what Guillaume Laforge had to say about this. Apparently, a lot of people had the same idea because I encountered a 503 error when trying to access his page. Fortunately, I did not have to wait for Laforge's blog to be available to get more insight from him on this announcement because there were a couple of interviews with him regarding the announcement already online: Voxxed.com's Pivotal’s "Sad and Odd'' Decision to Set Groovy Adrift and InfoQ's Pivotal Pulls Groovy/Grails Funding. Since that time, Laforge's blog is available again and has a post on the subject calledThe Groovy project is looking for a new home. Another person frequently and deservedly associated with Groovy, Graeme Rocher, has also posted on the subject: The Future of Groovy and Grails Sponsorship. Laforge and Rocher were co-founders of G2One, which was acquired by SpringSource in late 2008. VMWare then acquired SpringSource about one year later (and VMWare had been owned by EMC since late 2003). EMC would later announce the spin-off of Pivotal in 2013 and Pivotal today announced the dropping of Groovy support as of 21 March 2015. Questions, Answers, and Speculations The posts referenced here in my post have collectively answered some of my questions about Groovy and at the same time presented additional questions. Why is Pivotal dropping the financial support of Groovy and Grails? Answer: Pivotal's announcement: "The decision to conclude its sponsorship of Groovy and Grails is part of Pivotal’s larger strategy to concentrate resources on accelerating both commercial and open source projects that support its growing traction in Platform-as-a-Service, Data, and Agile development. Pivotal has determined that the time is right to let further development of Groovy and Grails be led by other interested parties in the open source community who can best serve the goals of those projects." Who Might Sponsor Groovy and/or Grails Development? Speculation: Many organizations benefit from Groovy and Gravy, but many probably aren't prepared to invest as fully in their development as G2One, SpringSource, VMWare, and even Pivotal have been. An example of an organization with an obvious vested interest in Groovy's future is GradleWare. Ken Kousen has tweeted and written a blog post on the opportunity of acquiring Groovy and Grails sponsorship. What does this announcement mean for Groovy's future? Answer Mixed with Speculation: Based on Laforge's and Rocher's posts, it seems clear that the core developers plan to continue working on Groovy. However, it is understandable that if this effort is not funded (sponsored), it will have to be at a slower pace than before (I have found through personal experience that home projects take a lot longer to complete than paid projects). I believe that Groovy has strong momentum already that will continue for some time. It is vital to Gradle, is used with other open source projects and tools such as SoapUI, and could have a promising future running on Android. I primarily use Groovy for scripting and simple "glue" tools in Java applications. The language is mature and serves these purposes well and I see no reason to stop using it at this time. What does this mean for the future of the Spring Framework? Speculation: There is some concern that perhaps Spring Framework could be jettisoned next from Pivotal. This seems unlikely to me, but I didn't expect Pivotal to drop Groovy either. As much as I love Groovy and as much effect on Java and JVM development as I acknowledge it has had, I think Spring Framework has been even more pervasive in Java EE development than Groovy and Grails have been in Java SE and Java EE development. That stated, Pivotal has shown that they are willing to, as most successful businesses are, drop a product offering that is perceived as not benefiting their strategy and bottom line. I can certainly understand if this development concerns users of Spring. Is Standards-Based More Important than Being Open Source? Answer: This is a difficult question to answer that often depends on numerous contextual factors including the tools being compared, the expected length of life of the products being built, etc. Fortunately, we often don't have to choose between these as many reference implementations in the Java world are also open source. However, a point can be made that any product that is not standard (including commercial or proprietary) is subject to losing support or not being available any longer. The theory is that if standards-based products are used, one can then shift to another implementation of that standard if necessary. However, a standard is only as good as its implementations and if there is only one realistic implementation of a standard, there's not much of an advantage of transferability there. Conclusion Although I understand Pivotal's motivation for dropping Groovy, I am still sorry to hear that news. I appreciate the effort that key Groovy contributors such as Laforge and Rocher have made and I appreciate the companies that have sponsored that work. Through this sponsorship and work, we have a really nice language to use for scripting and other purposes. I hope that a sponsor can be found for Groovy, but I plan to continue to use it either way.

An in-depth look at what distinguishes some newer JavaScript frameworks like Polymer, Aurelia, Meteor, Webix, and React.

We take a look at how mobile application developers working with Xamarin can secure their apps with this free, and awesome, tool.

The source code The slides for the talk "Mobile First!" is the new cry of web designers worldwide. But how do you do it? Do you have to scrap all of your current web skills? Is it magic created by wizard-like designers which could never be understood by mere mortals? Believe it or not, with the combination of jQuery Mobile and CSS3 Media Queries, you can easily create a site that looks good on a phone, tablet, or desktop. Does Mobile-First Still Matter? Yes! You still need to look to design all features of your programs with a mobile-first mentality. People are spending increasing amounts of time on their phones, and they expect the companies that create products for them to come up with something that will enable them to continue to view those products from their phones. If you are unable to do this for them, they may simply move on to another company that can provide them with that kind of functionality. You have a lot of choices to make when it comes to the specific features that you will use and embrace, but you need to consider how going mobile first can help bolster the chances of your application being used by the masses. General Responsive Web Features The web began as responsive. Now admittedly, the web didn't do very much, so being responsive when the Internet was mainly documents was easy. HTML documents naturally wrapped to the next line and flowed down the page. Along the way, things changed. Developers began designing sites in tools like PhotoShop and wanted perfect pixel renderings of those designs. The problem with pixels is that they are not very flexible. It has always been possible to use percentages instead of pixels, but they were clumsier to work with, so pixels remained the favorite. With HTML5 and CSS3 there is more support for responsive design. Lets Meta Tags Meta tags have been the favorite of the SEO crowd for some time. Meta tags are used to define keywords, descriptions, and even redirects. Here are some rules about meta tags: They always go in the section of the page They are never displayed They consist mostly of key/value pairs: name = key and content = value Viewport The viewport is a special type of meta tag which defines the screen of a mobile device. In the example program the viewport meta tag looks like: The attributes above mean: width=device-width - converts the pixels to CSS pixels initial-scale=1 - sets the scale level user-scalable=no - turns off scaling If the initial scale is some other value than 1, the zoom can be smaller or larger. If user-scalable is set to yes, then the user sets the zoom level by tapping, pinching, or whatever zoom gesture the browser supports. Media Query Media Queries are the workhorse of responsive design. A media query is a media type and at least one expression that limits the style sheets' scope. Here is an example: @media screen and (max-width: 1024px) and (orientation:portrait) { } The above media query means: For a screen media type Define the classes only if The width is less than 1023 AND the orientation is portrait The media query begins with @media then a media type, in this case, screen. Other types are all, braille, embossed, handheld, print, project, speech, tty, and tv. You can compose complex media queries using logical operators like not, and, and only. not - is used to negate an entire media query and - used to combine multiple media features together into a single media query only - used to apply a style only if the entire query matches Finally, there is the comma-separated list which behaves like an operator. If any media queries return true, the style sheets get applied. One pattern for applying the media queries is to define the query for the narrowest device first, then define it for a tablet, and finally a desktop. Now all of these definitions are pretty loose and open to interpretation. You may need to adjust them to fit your needs. If you run the demo on a high pixel phone like a Nexus 4, which has a display of 1280x768 resolution, why doesn't it display like a desktop? The key is the viewport meta tag. This tag, which is read by mobile browsers, redefines the pixels as CSS pixels. The precise number of CSS pixels varies by device, but on the iPhone, it is 320 and on the Nexus 4 it is 384, both of which are less than the minimum of 480 pixels to be defined as a tablet. jQuery Mobile Features So far we haven't looked at jQuery Mobile features. From the get go jQuery Mobile has had responsive features. Some of which are: grid - a simple way to build CSS-based columns that can also be responsive tables - selectively hide or shows table columns based on the display width panels - create a hidden page that slides left or right to reveal itself Grids Grids have been with jQuery Mobile since the beginning. They are essentially self sizing columns that dynamically resize themselves when the size of the page changes. The number of available columns ranges from two to five. To change the number of available columns simply change the class on the root p then add or remove a p from the collection. ui-grid-a = 2 columns ui-grid-b = 3 columns ui-grid-c = 4 columns ui-grid-d = 5 columns Tables Tables were added with the release of jQuery Mobile 1.3.0. They allow for the responsive display of tabular data. There are two basic types of tables: reflow which is the default and column toggle. Reflow tables lay the table data horizontally until it reaches a minimum size, then all of the data for each row is grouped together and it re-flows down the page. In column toggle mode, each column of a table can be given a separate priority, when the data can no longer fit horizontally, the column with the lowest priority number which is still visible is hidden. This continues until a minimum size is reached or there is only one column remaining. Panels A panel is a hidden page that reveals itself by sliding from the left or right onto the page. It can support nearly any jQuery Mobile widget. When the panel is displayed, clicking anywhere else on the page will close it. Best Practices Design styles beginning with "mobile first", then go wider Use "min-width" to constrain styles Prefer percentages and ems to pixels

Over the weekend I started working on llamaduck- a simple tool that aims to figure out whether your code will run on the newly released node 0.6.0. Eventually, it might be able to perform other compatibility assessment tasks as well, but I’m focusing on simple stuff first. Or at least I thought it was simple. The list of API changes since 0.4.x doesn’t seem that long and it should be easy enough to digest. But as it turns out, I spent almost all of Sunday just figuring out how to turn javascript into a beautiful analyzable AST. If you don’t know what an AST is – it’s a so-called abstract syntax tree, which means it should look identical regardless of what the actual syntax is. Although it will differ for different languages. So a CoffeeScript AST should look the same as JavaScript, but Python’s will differ. JavaScript Alterations and Changes There are so many JavaScript alterations and changes that one may need to make as they work through the program that it is undoubtedly challenging for some people to keep up with precisely what they are supposed to do to take care of things like this. What is known is that JavaScript alterations and changes can make life a lot more challenging for you in the short term, but it will pay off with a better product in the long run. What I discovered was that there were a lot of changes that needed to be made to get JavaScript to line up just the way that I wanted it to. There are so many small and technical aspects of this kind of coding that need to be adhered to down to the letter, and it is certainly not easy to pull it off until one has a lot of time to sit down and figure out what they need to do. JavaScript remains the dominant language used by computer programmers to put their materials out onto the Internet, so it made a lot of sense to me to start using this as a primary tool to get my own work done as well. I have continued to rely on JavaScript for projects both large and small, and I know that the only way that I get the most possible value out of it is to use it in ways that are effective for my customers. The increased use of JavaScript for all programmers is something that has led me to believe that I must continue working on ways to make the most out of my time with this program and the skills that I know can be applied in the best ways possible to get my desired results. When running JavaScript through the actual JavaScript program, it is common for programmers to run into some common issues. There are lines of exceptions that may appear at times, and there are other situations that arise which make it obvious that a certain piece of code is just not going to work as desired. If you run into that problem, just know that this is what the process is all about. Running the JavaScript through the program first is a great way to make sure those errors and omissions are eliminated from the final product. Look over every piece of this very carefully and make sure you understand what you are looking at. You may just discover that there is a lot more that you could be doing to help out your users after all. My research came up with three options: Take a parser generator and a JavaScript grammar, and hope for the best JSLint has a parser … somewhere around line 2000 Uglify-JS supposedly has a parser too The only viable option was uglify-js. It’s a neatly packaged node.js module that does a bit more than I need, but at least it’s got an easy-to-use parser with an exposed API interface. Score! Here’s an example of a file that outputs its own AST to give you a feel for what I’m talking about: var parser = require('uglify-js').parser; var util = require('util'); (function get_ast (path, callback) { require('fs').readFile(path, 'utf-8', function (err, data) { if (err) throw err; callback(parser.parse(data)); }); })('./example.js', function (data) { console.log(util.inspect(data, true, null)); }); The file parses itself and outputs a tree encoded as a javascript array (scroll past the insanity, there’s a bit more text there): [ 'toplevel', [ [ 'var', [ [ 'parser', [ 'dot', [ 'call', [ 'name', 'require', [length]: 2 ], [ [ 'string', 'uglify-js', [length]: 2 ], [length]: 1 ], [length]: 3 ], 'parser', [length]: 3 ], [length]: 2 ], [length]: 1 ], [length]: 2 ], [ 'var', [ [ 'util', [ 'call', [ 'name', 'require', [length]: 2 ], [ [ 'string', 'util', [length]: 2 ], [length]: 1 ], [length]: 3 ], [length]: 2 ], [length]: 1 ], [length]: 2 ], [ 'stat', [ 'call', [ 'function', 'get_ast', [ 'path', 'callback', [length]: 2 ], [ [ 'stat', [ 'call', [ 'dot', [ 'call', [ 'name', 'require', [length]: 2 ], [ [ 'string', 'fs', [length]: 2 ], [length]: 1 ], [length]: 3 ], 'readFile', [length]: 3 ], [ [ 'name', 'path', [length]: 2 ], [ 'string', 'utf-8', [length]: 2 ], [ 'function', null, [ 'err', 'data', [length]: 2 ], [ [ 'if', [ 'name', 'err', [length]: 2 ], [ 'throw', [ 'name', 'err', [length]: 2 ], [length]: 2 ], undefined, [length]: 4 ], [ 'stat', [ 'call', [ 'name', 'callback', [length]: 2 ], [ [ 'call', [ 'dot', [ 'name', 'parser', [length]: 2 ], 'parse', [length]: 3 ], [ [ 'name', 'data', [length]: 2 ], [length]: 1 ], [length]: 3 ], [length]: 1 ], [length]: 3 ], [length]: 2 ], [length]: 2 ], [length]: 4 ], [length]: 3 ], [length]: 3 ], [length]: 2 ], [length]: 1 ], [length]: 4 ], [ [ 'string', './example.js', [length]: 2 ], [ 'function', null, [ 'data', [length]: 1 ], [ [ 'stat', [ 'call', [ 'dot', [ 'name', 'console', [length]: 2 ], 'log', [length]: 3 ], [ [ 'call', [ 'dot', [ 'name', 'util', [length]: 2 ], 'inspect', [length]: 3 ], [ [ 'name', 'data', [length]: 2 ], [ 'name', 'true', [length]: 2 ], [ 'name', 'null', [length]: 2 ], [length]: 3 ], [length]: 3 ], [length]: 1 ], [length]: 3 ], [length]: 2 ], [length]: 1 ], [length]: 4 ], [length]: 2 ], [length]: 3 ], [length]: 2 ], [length]: 3 ], [length]: 2 ] Conclusion Now we have a simple tree we can recursively analyze and look for incompatibilities. But before anything really practical can be done I need to figure out how to track variable scope. That’s really the hard bit because the code needs to check when variables become a critical section and then confirm that they do in fact eventually get used in a critical way. But once that nut is cracked llamaduck will be a neat little tool useful for many things. If you’ve got some coding inclination, I’d love a helping hand over at the llamaduck github repo. Related articles Lessons From A Review Of JavaScript Code (coding.smashingmagazine.com) ParserPlayground partial internals update (leuksman.com) Google Closure Introduction (googleclosure.wordpress.com) Announcing JesCov – JavaScript code coverage (olabini.com) Polyglot programming – combining functional, dynamic and imperative languages (mindscapehq.com)

Nowadays Quarkus is known as Supersonic Subatomic Java. It provides a lot of features to facilitate build and deployment.

I wrote about cypher’s MERGE function a couple of weeks ago, and over the last few days, I’ve been exploring how it works with schema indexes and unique constraints. An Exciting Time to Be a Developer There is so much that could be said about the merging of Neo4j and Cypher right now, but it is certainly reasonable to point out that this merger will likely result in many exciting developments in the programming world. Programmers virtually always appreciate it when they are given the products and tools they require to get their job done properly, and now is the time for steps like this to be taken. The fact that Neo4J and Cypher have decided to merge means that the upsides of both will soon be apparent. You deserve to use all of the best tools to make informed decisions about your next software project, and a great way to make it happen is to use what has been given to you regarding product functionality. This is to say that you can use both the upsides of Neo4J and Cypher to come up with the exact tools you need to make a difference in your sphere of influence. Could Other Products Soon Merge? There has been some strong demand for other software development products to consider merging. Coders and programmers want to use their favorite projects in exactly how they were meant to be used, and this means getting them to merge in ways that are useful to the programmers. They just want to be able to squeeze as much use out of each program as they possibly can. You want to make sure that you can see what is going on with your codes as you are directly applying them to whichever problem you are working on at this time. To be sure, it is not an easy task, but no one ever said it would be easy. The important thing is that you get the work done so that you can start to become more productive in the coding you are doing now. A common use case with Neo4j is to model users and events where an event could be a tweet, Facebook post, or Pinterest pin. The model might look like this: We’d like to ensure that we don’t get duplicate users or events, and MERGE provides the semantics to do this: MERGE (u:User {id: {userId}) MERGE (e:Event {id: {eventId}) MERGE (u)-[:CREATED_EVENT]->(m) RETURN u, e We’d like to ensure that we don’t get duplicate users or events and MERGE provides the semantics to do this: MERGE ensures that a pattern exists in the graph. Either the pattern already exists, or it needs to be created. import org.neo4j.cypher.javacompat.ExecutionEngine; import org.neo4j.cypher.javacompat.ExecutionResult; import org.neo4j.graphdb.GraphDatabaseService; import org.neo4j.graphdb.factory.GraphDatabaseFactory; import org.neo4j.helpers.collection.MapUtil; import org.neo4j.kernel.impl.util.FileUtils; ... public class MergeTime { public static void main(String[] args) throws Exception { String pathToDb = "/tmp/foo"; FileUtils.deleteRecursively(new File(pathToDb)); GraphDatabaseService db = new GraphDatabaseFactory().newEmbeddedDatabase( pathToDb ); final ExecutionEngine engine = new ExecutionEngine( db ); ExecutorService executor = Executors.newFixedThreadPool( 50 ); final Random random = new Random(); final int numberOfUsers = 10; final int numberOfEvents = 50; int iterations = 100; final List userIds = generateIds( numberOfUsers ); final List eventIds = generateIds( numberOfEvents ); List merges = new ArrayList<>( ); for ( int i = 0; i < iterations; i++ ) { Integer userId = userIds.get(random.nextInt(numberOfUsers)); Integer eventId = eventIds.get(random.nextInt(numberOfEvents)); merges.add(executor.submit(mergeAway( engine, userId, eventId) )); } for ( Future merge : merges ) { merge.get(); } executor.shutdown(); ExecutionResult userResult = engine.execute("MATCH (u:User) RETURN u.id as userId, COUNT(u) AS count ORDER BY userId"); System.out.println(userResult.dumpToString()); } private static Runnable mergeAway(final ExecutionEngine engine, final Integer userId, final Integer eventId) { return new Runnable() { @Override public void run() { try { ExecutionResult result = engine.execute( "MERGE (u:User {id: {userId})\n" + "MERGE (e:Event {id: {eventId})\n" + "MERGE (u)-[:CREATED_EVENT]->(m)\n" + "RETURN u, e", MapUtil.map( "userId", userId, "eventId", eventId) ); // throw away for ( Map row : result ) { } } catch ( Exception e ) { e.printStackTrace(); } } }; } private static List generateIds( int amount ) { List ids = new ArrayList<>(); for ( int i = 1; i <= amount; i++ ) { ids.add( i ); } return ids; } } We create a maximum of 10 users and 50 events and then do 100 iterations of random (user, event) pairs with 50 concurrent threads. Afterward, we execute a query that checks how many users of each id have been created and get the following output: +----------------+ | userId | count | +----------------+ | 1 | 6 | | 2 | 3 | | 3 | 4 | | 4 | 8 | | 5 | 9 | | 6 | 7 | | 7 | 5 | | 8 | 3 | | 9 | 3 | | 10 | 2 | +----------------+ 10 rows Next, I added a schema index on users and events to see if that would make any difference, something Javad Karabi recently asked on the user group. CREATE INDEX ON :User(id) CREATE INDEX ON :Event(id) We wouldn’t expect this to make a difference as schema indexes don’t ensure uniqueness, but I ran it anyway t and got the following output: +----------------+ | userId | count | +----------------+ | 1 | 2 | | 2 | 9 | | 3 | 7 | | 4 | 2 | | 5 | 3 | | 6 | 7 | | 7 | 7 | | 8 | 6 | | 9 | 5 | | 10 | 3 | +----------------+ 10 rows If we want to ensure the uniqueness of users and events, we need to add a unique constraint on the id of both of these labels: CREATE CONSTRAINT ON (user:User) ASSERT user.id IS UNIQUE CREATE CONSTRAINT ON (event:Event) ASSERT event.id IS UNIQUE Now if we run the test, we’ll only end up with one of each user: +----------------+ | userId | count | +----------------+ | 1 | 1 | | 2 | 1 | | 3 | 1 | | 4 | 1 | | 5 | 1 | | 6 | 1 | | 7 | 1 | | 8 | 1 | | 9 | 1 | | 10 | 1 | +----------------+ 10 rows We’d see the same result if we ran a similar query checking for the uniqueness of events. As far as I can tell, this duplication of nodes that we merge on only happens if you try to create the same node twice concurrently. Once the node has been created, we can use MERGE with a non-unique index, and a duplicate node won’t get created. All the code from this post is available as a gist if you want to play around with it.

Java serialization is convenient to store the state of Java objects. However, there are some drawbacks of serialized data: It is not human-readable. It is Java-specific and is not exchangeable with other programming languages. It is not migratable if fields of the associated Java class have been changed. These drawbacks make Java serialization not a practical approach to storing object states for real-world projects. In a product developed recently, we use XStream to serialize/deserialize Java objects, which solves the first and second problems. The third problem is addressed with XMT, an open source tool developed by us to migrate XStream serialized XMLs. This article introduces this tool with some examples. Computer Languages Need to be Simplified So many of the issues that we all run into when we are working on converting computer languages into something that can be better understood by human beings is the fact that computer languages need to be simplified if possible. These languages are great for the computers that speak back and forth with one another, but they don’t necessarily work out as well when humans try to become involved with them. Many humans end up confused and unable to make much progress at all on getting these systems cleared up. Thus, it is necessary to get them cleaned up and made more usable. There are people who are actively working on this problem right now, but in the meantime, we may simply have to deal with computers that can’t do everything we would like for them to do. XStream deserialization problem when class is evolved Assume a Task class below with a prioritized field indicating whether it is a prioritized task: package example; public class Task { public boolean prioritized; } With XStream, we can serialize objects of this class to XML like below: import com.thoughtworks.xstream.XStream; public class Test { public static void main(String args[]) { Task task = new Task(); task.prioritized = true; String xml = new XStream().toXML(task); saveXMLToFileOrDatabase(xml); } private static void saveXMLToFileOrDatabase(String xml) { // save XML to file or database here } } The resulting XML will be: true And you can deserialize the XML to get back task object: import com.thoughtworks.xstream.XStream; import com.thoughtworks.xstream.io.xml.DomDriver; public class Test { public static void main(String args[]) { String xml = readXMLFromFileOrDatabase(); Task task = (Task) new XStream(new DomDriver()).fromXML(xml); } private static String readXMLFromFileOrDatabase() { // read XML from file or database here } } Everything is fine. Now we find that a prioritized flag is not enough, so we enhance the Task class to be able to distinguish between high priority, medium priority and low priority: package example; public class Task { enum Priority {HIGH, MEDIUM, LOW} public Priority priority; } However, deserialization of previously saved XML is no longer possible since the new Task class is not compatible with the previous version. How does XMT Address the Problem XMT comes to the rescue: it introduces the class VersionedDocument to version serialized XMLs and handles the migration. With XMT, serialization of task object can be written as: package example; import com.pmease.commons.xmt.VersionedDocument; public class Test { public static void main(String args[]) { Task task = new Task(); task.prioritized = true; String xml = VersionedDocument.fromBean(task).toXML(); saveXMLToFileOrDatabase(xml); } private static void saveXMLToFileOrDatabase(String xml) { // save XML to file or database here } } For task class of the old version, the resulting XML will be: true Compared with the XML generated previously with XStream, an additional attribute version is added to the root element indicating the version of the XML. The value is set to "0" unless there are migration methods defined in the class as we will introduce below. When Task class is evolved to use enum based priority field, we add a migrated method like the below: package example; import java.util.Stack; import org.dom4j.Element; import com.pmease.commons.xmt.VersionedDocument; public class Task { enum Priority {HIGH, MEDIUM, LOW} public Priority priority; @SuppressWarnings("unused") private void migrate1(VersionedDocument dom, Stack versions) { Element element = dom.getRootElement().element("prioritized"); element.setName("priority"); if (element.getText().equals("true")) element.setText("HIGH"); else element.setText("LOW"); } } Migration methods need to be declared as a private method with the name in the form of "migrateXXX", where "XXX" is a number indicating the current version of the class. Here method "migrate1" indicates that the current version of the Task class is of "1", and the method migrates the XML from version "0" to "1". The XML to be migrated is passed as a VersionedDocument object which implements the dom4j Document interface and you may use dom4j to migrate it to be compatible with the current version of the class. In this migration method, we read back the "prioritized" element of version "0", rename it as "priority", and set the value as "HIGH" if the task is originally a prioritized task; otherwise, set the value as "LOW". With this migration method defined, you can now safely deserialize the task object from XML: package example; import com.pmease.commons.xmt.VersionedDocument; public class Test { public static void main(String args[]) { String xml = readXMLFromFileOrDatabase(); Task task = (Task) VersionedDocument.fromXML(xml).toBean(); } private static String readXMLFromFileOrDatabase() { // read XML from file or database here } } The deserialization works not only for XML of the old version but also for XML of the new version. At deserialization time, XMT compares the version of the XML (recorded in the version attribute as we mentioned earlier) with the current version of the class (maximum suffix number of various migrate methods), and runs applicable migrate methods one by one. In this case, if an XML of version "0" is read, method migrate1 will be called; if an XML of version "1" is read, no migration methods will be called since it is already up to date. As the class keeps evolving, more migration methods can be added to the class by increasing the suffix number of the latest migration method. For example, let's further enhance our Task class so that the priority field is taking a numeric value ranging from "1" to "10". We add another migrate method to the Task class to embrace the change: @SuppressWarnings("unused") private void migrate2(VersionedDocument dom, Stack versions) { Element element = dom.getRootElement().element("priority"); if (element.getText().equals("HIGH")) element.setText("10"); else if (element.getText().equals("MEDIUM")) element.setText("5"); else element.setText("1"); } This method only handles the migration from version "1" to version "2", and we do not need to care about version "0" anymore, since the XML of version "0" will first be migrated to version "1" by calling the method migrate1 before running this method. With this change, you will be able to deserialize the task object from XML of the current version and any previous versions. This article demonstrates the idea of how to migrate field change of classes. XMT can handle many complicated scenarios, such as migrating data defined in multiple tiers of class hierarchy, addressing class hierarchy change, etc. For more information of XMT, please visit http://wiki.pmease.com/display/xmt/Documentation+Home

In just over six years, Apache Maven has become one of the most coveted tools for project build and reporting management. It’s been five years since the release of Maven 2, and now the Maven committers have released the next landmark version of the software. Incredible Improvements in Little Time It didn’t take long for Maven to become one of the most respected and desired tools in computer engineering. However, the product only continues to improve as Maven 3 is now available for those needing this extra computing power. The whole system just gets more and more interesting as time goes on, and that is exactly what people are most interested in when they look through different software options that are open to them. They just want something that they know will add to the amount of work that they can get done. We took some time to speak with the visionary founder of the Maven series of products, and we got some answers directly from him about how these products work and what kind of updates we might expect in the future. Believe it or not, just sitting down with him and getting some of these answers was a big help getting us to a place where we better understand the product. There is so much buzz and excitement about Maven 3 right now, and there should be. However, we wanted to hear directly from the creator of it to see which features we should be most excited about. We are so happy that he took the time to speak with us and review his innovative product. Hear what we learned today directly from the creator. The first beta release of Maven 3, which is now complete after seven public alphas, was released this week. Maven founder and Sonatype CTO Jason van Zyl answered some questions for DZone about Maven 3 earlier this month. Below are the main new feature categories of Maven 3. Drop-in Replacement Users of Maven 1.x may remember the bumpy transition to Maven 2 because of several fundamental changes. The Maven committers remember too, and they’ve put a lot of extra work into providing backward compatibility and making Maven 3 a simple drop-in replacement for Maven 2.x in most cases. van Zyl says this was “very difficult given how much of the internals we’ve changed.” Apart from fixing problems with duplicate dependency and plugin declarations, no changes are needed for your POMs. They’ve made the command line fully compatible between 2 and 3. Polyglot Maven Polyglot Maven is not a part of Maven 3 per se, but it is a tool from van Zyl’s company, Sonatype, that can be integrated with Maven 3 via an extension point. The extension points are a new feature in Maven 3 that support tools such as Tycho, Polyglot Maven, and Maven Shell. As you’ve probably guessed from the name, Polyglot Maven supports dynamic languages and is trying to provide first-class POM-mapped DSL (Domain Specific Language) support for Groovy, Scala, Clojure, Ruby, Xtext, and YAML. Polyglot Maven currently supports YAML. This is a welcome feature for developers who find the original XML format annoying. If you don’t, no big deal. Van Zyl also says it’s important for these DSLs to have repository interoperability and tooling to leverage M2Eclipse. M2Eclipse Maven 3 has changes related to embedding that make it work a lot better inside of M2Eclipse (the first Maven integration plugin for Eclipse). Maven 3 is now capable of a 200 to 300% performance boost while running in this plugin environment built specifically for Maven and the Eclipse IDE. M2Eclipse will provide some extra XML metadata in the Maven POM, which M2Eclipse only recognizes. This is one feature that enables high build performance. M2Eclipse also downloads all sources automatically and has a single-click new project creation feature for any of your dependencies. Maven Shell The Maven Shell is another extension point. It is Maven embedded in a long-lived shell process that caches parsed POMs, avoids start-up costs when invoking Maven repeatedly, supports Maven Archetype integration, provides Nexus integration, includes a built-in help system, and on Mac OS X, provides Growl support. Van Zyl says typical cases will see a 50% reduction in build times. Version 1.0 of the Maven Shell integrates the make-like reactor mode that builds only the modified modules. Support for project workflow, Hudson, Tycho, and Polyglot Maven are also present. Other improvements Developers working in multi-module or multi-pom projects won’t have to specify the parent version in every sub-module in Maven 3. Instead, you can add version-less parent elements. Maven 3 will also be able to see which POMs supplied which artifacts. In M2Eclipse, you can then deselect a certain contribution and select others. This is made possible through Maven 3’s decoupling of execution plans and execution. Maven 3 also includes extension points (mentioned above), which allow developers to hook up to different extension points instead of subclassing a plugin to alter the plugin’s behavior. You might, for example, have an extension point to alter how web.xml is processed through the WAR plugin. The source code in Maven 3 uses Google Guice for dependency injection and Peaberry to add OSGi capabilities to Guice. The whole dependency resolution is refactored into a standalone product by Sonatype called Mercury, for which Maven 3 is a client. Believe it or not, the Maven 3 codebase ended up being 1/3rd smaller than Maven 2. Maven 3.1 Looking toward the next release, Maven 3.1 will include a security manager with the settings.xml implementation as the default. Sonatype is planning an implementation that interacts with Nexus. Maven 3.1 will also introduce POM mixins, which make the configuration more maintainable and portable. Mixins will help solve the problem in Maven 2.0, where sharing configuration could only be done via inheritance. POM mixins are a type of POM composition that allows parameterized POM fragments to be injected into the current POM with a simple reference. References: "What's New in Maven 3" - Eingestellt von Reikje, DZone interview with Jason van Zyl, and "EclipseMagazine Interview with Jason van Zyl on the Maven Ecosystem"

It’s official! We’re getting a new function syntax! The TC39 group (the panel charged with delivering ES 6) has reached a consensus on an abbreviated syntax for JavaScript function expressions. It's popularly known as the fat arrow syntax, and is based on a similar construct found in CoffeeScript. Make no mistake, I’m delighted that we will finally have an alternative to the unnecessary clunkiness and verbosity of the present grammar, but I can’t shake a nagging feeling that this proposal (in its current form) is flawed to the extent that it might actually make new developers more confused than they already were. I’ll run through the key features of this new construct, then explain my concerns and how they might be mitigated. There are Finally Fat Arrows in Java Java continues to add new features and make itself more useful to the public in due course. That said, there are many who have complained that the service never allowed them to put in the fat arrows that they wanted to. It was a glaring hole in the program, and it has now been clamped down on. People are finally able to get the fat arrow designs that they have been looking for without having to use another program to make it happen. Make sure you take a look at the full scope of what Java has to offer you as you explore the promise that it will be something even grander than anything else out on the marketplace at this time. You will want to take advantage of these new arrow designs if you can, and you will want to check up on all of the latest offerings from Java whenever possible. BS Alert Before starting out I should let you know that I’m going to make a lot of assertions about how fat arrows work. I’m reasonably confident that most of them are consistent with the latest proposal, but since research material is scant (I’m relying on the ES Wiki and the ES discuss list) and the examples are not testable (the traceur compiler does not yet support fat arrows) there are going to be some mistakes, for which I apologize upfront. I welcome corrections and will update the content as I get them. Thanks! How does it Work? The Syntax The fat arrow grammar has the following characteristics: 1. The arrow (=>) takes the place of the function keyword 2. Parameters are specified before the arrow, parentheses are required when there are zero, two or more parameters. 3. Block syntax (i.e. enclosing the function body in curly braces) is optional when the body comprises a single expression, otherwise it is required. 4. The return keyword is implied when the function body comprises a single expression. In all other cases returns must be used explicitly. Here are some simple examples. I’ve paired each fat arrow use case with the corresponding long-form syntax, although as we’ll see later the paired functions do not necessarily represent identical behavior. I’m defining variables with the var keyword for the sake of familiarity, but by the time ES6 is implemented you’re more likely to use let which allows variables to be defined with block scoping: //empty function var fat1 = () => {}; var long1 = function() {}; //return the square var fat2 = x => x * x; var long2 = function(x) {return x * x}; //add two numbers var fat3 = (a, b) => a + b; var long3 = function(a, b) {return a + b}; //return square root if x is a number, otherwise return x var fat4 = x => (typeof x == "number") ? Math.sqrt(x) : x; var long4 = function(x) { return (typeof x == "number") ? Math.sqrt(x) : x; }; Fat arrows bring a terse elegance to functional JavaScript… //return a new array containing the squares of the original... [1, 2, 3, 4, 5].map(x => x * x); //[1, 4, 9, 16, 25] //capitalize... ['caption', 'select', 'cite', 'article'].map(word => word.toUpperCase()); //['CAPTION', 'SELECT', 'CITE', 'ARTICLE'] //rewrite all instances of Fahrenheit as Celsius... function f2c(x) { var test = /(\d+(\.\d*)?)F\b/g; return x.replace(test, (str, val) => (val-32)*5/9 + "C"); } f2c("Store between 50F and 77F"); //"Store between 10C and 25C" (The last example is a rewrite of this traditional implementation). No Extras For You, Fat Arrow Not only do fat arrows use lightweight syntax – they also generate lightweight functions… No Constructors Functions created using fat arrow syntax have no prototype property, which means they can’t be used as constructors. If you try to use a fat arrow function as a constructor it throws a TypeError. No Arguments The argument’s object is not available within the execution context of a fat arrow function. This is not a huge loss; by the time ES 6 is in full swing, we can expect arguments to have been deprecated in favor of the rest (...) syntax. No Names There are Function Expressions, and then there are Named Function Expressions. Fat arrow functions have no place for a name, so they will always just be plain anonymous Function Expressions. The Value of This Functions defined with the fat arrow syntax have their context lexically bound; i.e. this value is set to the value of the enclosing scope (the outer function where present, otherwise the global object). //with long-form inner function var myObj = { longOuter: function() { console.log(this); //this is myObj var longInner = function() { console.log(this); //this is global object }; longInner(); } } myObj.longOuter(); //with fat arrow inner function var myObj = { longOuter: function() { console.log(this); //this is myObj var fatInner = () => console.log(this); //this is myObj fatInner(); } } myObj.longOuter(); It's a hard binding, which means if a fat arrow is used to define a method in an object literal it will continue to be bound to that object even when invoked from a borrowing object: var myObj = { myMethod: function() {return () => this;}, toString: () => "myObj" } var yourThievingObject = { hoard: myObj.myMethod, toString: () => "yourThievingObject" }; yourThievingObject.hoard(); //"myObj" Similarly the this value of a fat arrow function cannot be modified by means of call or apply: //traditional long inner function var myObj = { longOuter: function() { console.log(this); //this is myObj var longInner = function() { console.log(this); //this is now myOtherObj } longInner.call(myOtherObj); } } myOtherObj = {}; myObj.longOuter(); //new fat inner function var myObj = { longOuter: function() { console.log(this); //this is myObj var fatInner = () => console.log(this); //this is still myObj fatInner.call(myOtherObj); } } myOtherObj = {}; myObj.longOuter(); So What’s the Problem? If you trawl the JavaScript section of Stack Overflow, you’ll find dozens of questions from puzzled developers trying to get their heads around JavaScript’s somewhat byzantine process of this assignment. So…remember how there are five ways to define the value of this in a function?… Syntax of function call Value of this 1. Method call: myObject.foo(); myObject 2. Baseless function call: foo(); global object (e.g. window) (undefined in strict mode) 3. Using call: foo.call(context, myArg); context 4. Using apply: foo.apply(context, [myArgs]); context 5. Constructor with new: var newFoo = new Foo(); the new instance (e.g. newFoo) …well now there’s a sixth… Syntax of function call Value of this 6. Fat Arrow: (x => x*x)(); this of lexical parent (A seventh rule was also proposed – naming the first argument of a fat arrow as ‘this’ would have bound the context to the base reference of a method call – but thankfully that option has been deferred). I appreciate the rationale behind lexical this binding. It’s intuitive, and if JavaScript was starting over, this would not be a bad way to do it. But at this point I’ve fallen in love with dynamic this values; they make functions gloriously flexible and are a great compliment to functional patterns, wherein functions form the bedrock of data, and other objects are mere fungibles. Moreover, if new developers are already discouraged by JavaScript’s perceived arbitrary assignment of context, yet another rule might be enough to finish them off for good. Bear in mind that fat arrow is sugar, and a very tasty sugar at that; it will be eagerly devoured by many developers long before the consequences of the sixth law of this has time to sink in. There’s another, related issue with the current proposal. Legacy functions (third party or otherwise) generally assume that their function arguments have dynamic this values. This enables them to invoke function arguments in any given context, which, amongst other things, is a useful way to add mixins. It’s true that Function.prototype.bind already offers a form of hard binding, but it does so explicitly; on the other hand, fat arrow’s hard binding is a side effect and it’s not at all obvious that it would break code like this: function mixin(obj, fn) { fn.call(obj); } //long form function mixin is dynamically bound var withCircleUtilsLong = function() { this.area = function() {return this.radius * this.radius * Math.PI}; this.diameter = function() {return this.radius + this.radius}; } //fat arrow function mixin is lexically bound (to global object in this case) var withCircleUtilsFat = () => { this.area = function() {return this.radius * this.radius * Math.PI}; this.diameter = function() {return this.radius + this.radius}; } var CircularThing = function(r) {this.radius = r}; //utils get added to CircularThing.prototype mixin(CircularThing.prototype, withCircleUtilsLong); (new CircularThing(1)).area(); //3.14 //utils get added to global object mixin(CircularThing.prototype, withCircleUtilsFat); (new CircularThing(1)).area(); //area is undefined How to Fix It OK, enough whining; time to make some proposals. Here are three ideas to remove, or at least mitigate, any negative effects of the new fat arrow context behavior. 1) (This one’s easy). Have fat arrow functions define this the same way as any regular Function Expression does – i.e. according to the five rules in the table above. It’s worth noting that CoffeeScript defined fat arrow as an alternative to their thin arrow (->) syntax. Thin arrow in CoffeeScript behaves, by and large, the same way as regular JavaScript Function Expressions. In contrast, ES6′s fat arrow is attempting to do at least two things at once – be the sole abbreviator of the syntax and redefine context assignment. To do one, or the other, would be less confusing. 2) (You probably saw this one coming too). Introduce thin arrow syntax at the same time. That way developers are drawn to the safer, less radical sugar which simply abbreviates their Function Expressions without throwing in secret surprises that mess with their contexts. Fat arrow expressions become the special case, not the default. This mail suggested the difference between fat and thin arrow would confuse folks, but by removing thin arrow we remove the stepping stone between dynamically bound long form functions and hardbound short form functions and the necessary conceptual leap becomes more radical. 3) (This one was proposed by @fb55 on the es discuss list). Only employ lexical scoping as a fallback when no other this binding is suggested. In other words, this would take the value of the base reference in a method call, or the context passed with a call or apply, but would defer to lexical scoping when invoked as a standalone function. (Standalone functions might just be the only part of JavaScript this assignment that actually needs fixing anyway). Wrap Up Is the primary goal of arrow functions brevity? or a hard-lexical binding? If it’s the former (and even if it isn't, a lot of developers will perceive that it is) then we should be careful not to overload it with new or surprising behavior. Oh and follow @fat.

The author conducts two tests with differing service delay times to measure any difference in performance between reactive and synchronous programming.

This deep dive of using Logback with Spring Boot includes how to use property files to alter the default Spring Boot settings and how to create custom configurations.

Build a Wordpress deployment as a cdk8s construct.

I have always worked with core PHP and was always reluctant to use any CMS (Joomla, Drupal, etc). Coincidentally I never got a chance to work on any of the frameworks in PHP. But in the current project at work, we have decided to use CodeIgniter. CodeIgniter is a lightweight open source web application framework. In short, it gives you a directory structure of a proper MVC pattern along with a lightweight built-in templating engine of its own. MVC pattern helps developers to separate business logic and the presentation layer. It requires a very minimal setup, unlike the famous PHP framework, Zend. Zend is mostly used in developing enterprise applications and is a vast framework, hence making the learning curve more difficult. On the other hand, CodeIgniter is easy to set up and easier to learn. Using Proper Frameworks It is so very important to apply the proper frameworks to any project that you are working on. When you use the best coding frameworks, you can accomplish a lot more than you might have ever dreamed was possible. Eliminating some of the noise and distractions that can take you away from truly accomplishing all that you need to is a big step in the right direction, and you will find that getting started with the right frameworks is probably what you need to do as a first step towards that goal. Otherwise, you will find yourself floundering for the right answers, and your projects just won’t turn out the way that you might have hoped that they would. Let’s Get started with CodeIgniter Of course, the first step is to download the codeigniter framework. You can download the latest stable version of Codeigniter from the following URL http://codeigniter.com/downloads/ . It will be a compressed file (zip file) that will be downloaded, just unzip it and keep it in a folder, say Codeigniter. Make sure you keep it inside the htdocs or webserver’s directory. Now it's time to configure the Codeigniter which initial settings to start working on. To do so, open the file config.php in your favorite editor. The file resides inside system/application/config directory. You will see an array called $config which stores all the configuration information, we will change only the following values and leave the rest as it is. /* |-------------------------------------------------------------------------- | Base Site URL |-------------------------------------------------------------------------- | */ //don't forget the TRAILING slash (/) $config['base_url'] = "http://localhost/codeigniter/"; Trust me, that shall be all to get you started. Some blogs/sites have shown many changes in this file, but you can play around with them when needed. You can change a lot about your application from this single file. Like you can store the session information inside a database, by simply setting up the config var $config['sess_use_database'] as TRUE, which is FALSE by default. You can also change the name of the session table from default “ci_sessions” to anything you like. Since none of the web applications runs without database, let me show you how to configure a database in this setup. I decided to pick this up in the next tutorial, but since it's pretty straightforward, let’s do it. To configure the database, open database.php which is located in the same directory as config.php i.e. system/application/config . Now change the values of the following array keys with the actual values of your MySQL server. $active_group = "default"; $active_record = TRUE; $db['default']['hostname'] = "localhost"; $db['default']['username'] = ""; //database username $db['default']['password'] = ""; //database password $db['default']['database'] = ""; //name of the database $db['default']['dbdriver'] = "mysql"; $db['default']['dbprefix'] = ""; //any table prefix, if you want to keep one $db['default']['pconnect'] = TRUE; $db['default']['db_debug'] = TRUE; $db['default']['cache_on'] = FALSE; $db['default']['cachedir'] = ""; $db['default']['char_set'] = "utf8"; $db['default']['dbcollat'] = "utf8_general_ci"; As you see the database configuration was also simple. Now it's time to develop a simple application using the CI framework. At the very beginning of this post I mentioned that CodeIgniter gives you an MVC pattern structure, so every part has a separate folder. Let us create a simple controller class to start with. To do this, let's create a class called Hello which will be written in the file called hello.php, stored inside system/application/controllers/ folder. The content of the file can be : (you can have a different class, after all, it's just a PHP class). class hello extends Controller { function __construct() { //call parent constructor parent::__construct(); } function index() { $output['header'] = "My page's header"; $output['content'] = "Here is the content of the webpage"; //load from from the system/application/views/hello.php $this->load->view('hello',$output); } } Dissect the code Now let us understand the code line by line. It's a controller class called hello which extends the default parent class called Controller. Extending the Controller class facilitates the execution of this controller. The constructor of this call simply loads the constructor of the parent class, which apparently is Controller. Next is the index(); function which has a special meaning in the CI framework. If it's present in a controller, it is executed automatically when the controller is loaded/executed. Now we output the data using the view part of the MVC pattern. if you notice the above code loads a view called hello which is a file kept inside the system/application/views/ folder. The file name should be the same as the name of the controller. And the data is provided in the form of an array, where header,content are the template variables, as shown below in the hello.php The above view renders the data which is passed on by the calling controller. Now let's try and test if everything works as we expected, phew! Open your browser and hit http://localhost/codeigniter/index.php/hello/ If everything is well, you should see a webpage, with a header and body content as specified in the controller. Wonder, how did that get rendered? CodeIgniter provides a very nice routing mechanism based on REST. The URL is so that you can call a specific controller and a method from inside the controller. But if you notice, in the above URL we have mentioned only the controller name i.e. hello, and not the function name index(). As mentioned previously, This is due to the fact that index(); function gets called automatically if it exists. Might it have been another function called render then the above URL would have been changed to http://localhost/codeigniter/index.php/hello/render/ The above URL which now call the render(); function from the hello controller. CodeIgniter was easy, no? If you think that was tough, just go through the steps again and I am sure you will understand. Since CI is the easiest framework and it lets you get started very quickly with the development. Happy Development!

Spring Roo is an rapid application development tool that helps you in rapidly building spring-based enterprise applications in the java programming language. Google app engine is a cloud computing technology that lets you run your application on Google's infrastructure. Using Spring Roo, you can develop applications that can be deployed on the Google app engine. In this tutorial, we will develop a simple application that can run on the Google app engine. Roo configures and manages your application using the Roo shell. Roo shell can be launched as a stand-alone, command-line tool, or as a view pane in the Springsource tool suite ide. Create it Fast and Effectively Most who create applications want to make them fast, and they want to make them effectively. What this means is that if they can figure out a way to create something that will both work for their users and also provide them with the speed of transaction that they need, then it is entirely possible that this will be precisely what they need to do in order to get the best results. Most are looking to Google search as a great way to get their apps out into the world, and it seems like this is as good of a place as any to start. Pushing out apps that can help the general population get the help they need with various projects means working with the most popular search engines in the world to make it happen. Thus, you should look to develop apps that work on Google in order to get the kind of results that you require. Prerequisite Before we can start using the Roo shell, we need to download and install all prerequisites. Download and install SpringSource Tool Suite 2.3.3. m2. Spring Roo 1.1.0.m2 comes bundled with STS. While installing STS, the installer asks for the location where STS should be installed. in that directory, it will create a folder with the name "roo-%release_number%" which will contain roo stuff. add %spring_roo%/roo-1.1.0.m2/bin in your path so that when you can fire roo commands from the command line. Start STS and go to the dashboard (help->dashboard) Click on the extensions tab Install the "google plugin for eclipse" and the "datanucleus plugin". Restart STS when prompted. After installing all the above we can start building the application. Conferenceregistration.roo Application Conference registration is a simple application where speakers can register themselves and create a session they want to talk about. So, we will be having two entities: speaker and presentation. Follow the instructions to create the application: Open your operating system command-line shell Create a directory named conference-registration Go to the conference-registration directory in your command-line shell Fire Roo command. You will see a roo shell as shown below. Hint command gives you the next actions you can take to manage your application. Type the hint command and press enter. Roo will tell you that first you need to create a project and for creating a project you should type 'project' and then hit tab. Hint command is very useful as you don't have to cram all the commands; it will always give you the next logical steps that you can take at that point. Roo hint command told us that we have to create the project so type the project command as shown below project --toplevelpackage com.shekhar.conference.registration --java 6 This command created a new maven project with the top-level package name as com. Shekhar.conference.registration and created directories for storing source code and other resource files. In this command, we also specified that we are using Java version 6. Once you have created the project, type in the hint command again, Roo will tell you that now you have to set up the persistence. Type the following command persistence setup --provider datanucleus --database google_app_engine --applicationid roo-gae This command set up all the things required for persistence. It creates persistence.xml and adds all the dependencies required for persistence in pom.xml. We have chosen the provider as DataNucleus and the database as google_app_engine because we are developing our application for google app engine and it uses its own data store. Applicationid is also required when we deploy our application to the Google app engine. Now our persistence setup is completed. 8. Type the hint command again, Roo will tell you that you have to create entities now. so, we need to create our entities' speaker and presentation. To create a speaker entity, we will type the following commands entity --class ~.domain.speaker --testautomatically field string --fieldname fullname --notnull field string --fieldname email --notnull --regexp ^([0-9a-za-z]([-.\w]*[0-9a-za-z])*@([0-9a-za-z][-\w]*[0-9a-za-z]\.)+[a-za-z]{2,9})$ field string --fieldname city field date --fieldname birthdate --type java.util.date --notnull field string --fieldname bio The above six lines created an entity named session with different fields. In this, we have used notnull constraint, email regex validation, date field. Spring Roo on the app engine does not support enum and references yet which means that you can't define one-one or one-to-many relationships between entities yet. These capabilities are supported on spring MVC applications but spring MVC applications can't be deployed on app engines as of now. Spring Roo Jira has these issues. They will be fixed in future releases(hope so :) ). 9. Next create the second entity of our application presentation. To create a presentation entity type the following commands on Roo shell entity --class ~.domain.presentation --testautomatically field string --fieldname title --notnull field string --fieldname description --notnull field string --fieldname speaker --notnull The above four lines created a jpa entity called presentation, located in the domain sub-package, and added three fields -- title,description and speaker. As you can see, the speaker is added as a string (just enter the full name). Spring Roo on google app engine still does not support references. 10. Now that we have created our entities, we have to create the face of our application i.e. user interface. currently, only GWT-created UI runs on the app engine. so, we will create GWT user interface. To do that type gwt setup this command will add the GWT controller as well as all the UI required stuff. This command may take a couple of minutes if you don't have those dependencies in your maven repository. 11. Next you can configure the log4j to debug level using the following command logging setup --level debug 12. Quit the Roo shell 13. You can easily run your application locally if you have maven installed on your system, simply type "mvn gwt:run" at your command line shell while you are in the same directory in which you created the project. This will launch the GWT development mode and you can test your application. Please note that applications do not run in the Google chrome browser when you run from your development environment. So, better run it in firefox. 14. To deploy your application to the Google app engine just type mvn gwt:compile gae:deploy it will ask you for app engine credentials (email id and password).

CoffeeScript is a language building an abstraction over JavaScript (as the similar name suggests.) It is an abstraction over the syntax of JavaScript, not over its concepts: the language is still based on functions as objects which may bind to other objects, and prototypical inheritance. CoffeeScript favors the best practices of JavaScript by transforming abstractions you would have written anyway, or borrowed from a framework, into language concepts for maximum conciseness. It has a compilation step - as every language must compile to a lower-level one, like C or Java. Since cowboy coding is not my preferred way to work, I prepared a Test-Driven Development example by using jsTestDriver. In this article, you get two things: a CoffeeScript introduction, and the tools for unit testing it (and consequently, how to TDD with CoffeeScript). Building on Top of JavaScript There is something to be said for those who go out of their way to try to improve the infrastructure of existing programs. Many have taken a stab at it by creating tools that are a compliment to JavaScript, and it appears to have worked quite well in this case. The reason? Because JavaScript is in need of some improvements. One of the programs that people have come up with is CoffeeScript. It is literally a bit of computer code that overlays the existing JavaScript codes to make it read even more fluidly. The benefit that one gets from this is that they can start to use JavaScript in a more efficient way with fewer bumps in the road. As it stands right now, JavaScript has numerous challenging issues that we must recognize. However, that can all be amended by using JavaScript as it was intended and just working towards perfecting it. CoffeeScript is certainly not the end all be all of the programs for improving JavaScript, but it is a great step in the right direction. People should at least try out the CoffeeScript code to see if it may be useful to them in terms of improving the quality of codes that they receive from JavaScript. If so, then it will have been worth the trouble. The infrastructure The basic structure consists of two folders: src/ and lib/; remember the compilation step. We'll put .coffee files into src/ and compile them to .js equivalents in a symmetrical tree in lib/. We add also a jsTestDriver.conf file to tell the unit testing framework all the files to load, which are only the "binary" .js scripts: server: http://localhost:4224 load: - lib/*.js Compiling This is the first version of the test I've managed to write, fizzbuzztest.coffee. It is a tautology that should always pass: mytest = () -> assertEquals(1, 1) tests = { "test1is1": mytest } TestCase("tests for fizzbuzz kata", tests) You see here that functions are still first-class objects, but only anonymous functions are supported. CoffeeScript is a Python/Ruby-like language without semicolons, and there are some affinities and common backgrounds with the latter language. I still use the old syntax for calling functions for now, although parentheses can be omitted in many cases. CoffeeScript is conservative, and even accepts semicolons if you want to write them. I compiled this script with coffee -o lib/ -c src/. fizzbuzztest.js is the result: (function(){ var mytest, tests; mytest = function() { return assertEquals(1, 1); }; tests = { "test1is1": mytest }; TestCase("tests for fizzbuzz kata", tests); })(); The global namespace is not touched by default, and var keywords are automatically introduced to preserve it. When I later needed the global namespace, I wrote: this.fizzbuzz = /* ... function definition ... */ This in this case is the window object or the other global object where you execute the code. Running To run the test, we must initialize the test driver (only once): jsTestDriver java -jar JsTestDriver-1.3.2.jar --port 4224 jsTestDriver will now listen at localhost:4224. Load this URL in your browser and capture it by clicking on the link. Tests will be executed inside the browser when requested: for more details see the related article. Every time you want to run the tests, execute them from the command line: java -jar JsTestDriver-1.3.2.jar --tests all This is the complete history of my kata. Here is the final version of the code (spoiler alert!), with support for addition of other factors than 3 or 5. The code is probably uglier than average, but it compiles: tests = { "test ordinary numbers are unchanged": -> assertEquals(1, fizzbuzz(1)) assertEquals(2, fizzbuzz(2)) assertEquals(4, fizzbuzz(4)) assertEquals(142, fizzbuzz(142)) "test multiples of 3 become fizz": -> assertEquals("Fizz", fizzbuzz(3)) assertEquals("Fizz", fizzbuzz(6)) assertEquals("Fizz", fizzbuzz(9)) "test multiples of 5 become buzz": -> assertEquals("Buzz", fizzbuzz(5)) assertEquals("Buzz", fizzbuzz(10)) "test multiples of 3 and 5 become fizzbuzz": -> assertEquals("FizzBuzz", fizzbuzz(15)) assertEquals("FizzBuzz", fizzbuzz(45)) } TestCase("tests for fizzbuzz kata", tests) newRule = (word, divisor) -> (number) -> return word if number % divisor == 0 "" newFizzBuzz = (rules) -> (number) -> result = "" concatenation = (rule) -> result = result + rule(number) concatenation rule for rule in rules return result if result number fizzRule = newRule("Fizz", 3) buzzRule = newRule("Buzz", 5) this.fizzbuzz = newFizzBuzz([fizzRule, buzzRule]) Comments On The Experience CoffeeScript offers a shorter syntax, which presents a bit of a learning curve but not a steep one. I went through the whole example in 1 hour (I already knew how to use jsTestDriver, however.) Syntax shapes how you write code by making some things easier: I found myself using higher-order functions which create other ones more often, since creating a function now is just a matter of putting -> before some lines of code. Variable naming is also simpler as you just have to think of the name, not about var or polluting the scope. More time to dedicate to design, and less to language issues. Some one-liners like the instruction if the expression is handy but not essential, and are there due to Ruby's inspiration. There's, even more, to discover in CoffeeScript, such as the options for the binding of functions which helps not to lose the reference to this. However, the question is if all this convenience has more value than the time spent to learn a new language and add infrastructure to make it work - the compiler, the build hooks, and the parallel tree to ignore in your version control system.

In The Joy of Clojure (TJoC) destructuring is described as a mini-language within Clojure. It's not essential to learn this mini-language; however, as the authors of TJoC point out, destructuring facilitates concise, elegant code. Making Code More Understandable One of the scariest things for those who are just now learning how to do some coding is the fact that they have to try to figure out what a seemingly impossible set of rules and structures means for the work that they are trying to do. It is not easy at all, and many people struggle with it in big ways. Fortunately, there are some people who are going about the process of destructuring code so that it may be broken into smaller and more manageable chunks. If this is to happen, then one can easily see how they can potentially get a lot more value from the process of coding, and even how they can contribute to it for themselves in the future. We need to be as encouraging of the next generation of coders as we possibly can because there is no question that they will ultimately have an outsized impact on how the future of coding is decided. If they are best set up to understand coding and to make sense of its many intricacies, then they will be able to handle it without problems. However, we need to support and encourage them along the way, and that all begins by making coding easier to understand in general. What is destructuring? Clojure supports abstract structural binding, often called destructuring, in let binding lists, fn parameter lists, and any macro that expands into a let or fn. -- http://clojure.org/special_forms The simplest example of destructuring is assigning the values of a vector. user=> (def point [5 7]) #'user/point user=> (let [[x y] point] (println "x:" x "y:" y)) x: 5 y: 7 note: I'm using let for my examples of destructuring; however, in practice, I tend to use destructuring in function parameter lists at least as often, if not more often. I'll admit that I can't remember ever using destructuring like the first example, but it's a good starting point. A more realistic example is splitting a vector into a head and a tail. When defining a function with an arglist** you use an ampersand. The same is true in destructuring. user=> (def indexes [1 2 3]) #'user/indexes user=> (let [[x & more] indexes] (println "x:" x "more:" more)) x: 1 more: (2 3) It's also worth noting that you can bind the entire vector to a local using the :as directive. user=> (def indexes [1 2 3]) #'user/indexes user=> (let [[x & more :as full-list] indexes] (println "x:" x "more:" more "full list:" full-list)) x: 1 more: (2 3) full list: [1 2 3] Vector examples are the easiest; however, in practice I find myself using destructuring with maps far more often. Simple destructuring on a map is as easy as choosing a local name and providing the key. user=> (def point {:x 5 :y 7}) #'user/point user=> (let [{the-x :x the-y :y} point] (println "x:" the-x "y:" the-y)) x: 5 y: 7 As the example shows, the values of :x and :y are bound to locals with the names the-x and the-y. In practice we would never prepend "the-" to our local names; however, using different names provides a bit of clarity for our first example. In production code you would be much more likely to want locals with the same name as the key. This works perfectly well, as the next example shows. user=> (def point {:x 5 :y 7}) #'user/point user=> (let [{x :x y :y} point] (println "x:" x "y:" y)) x: 5 y: 7 While this works perfectly well, creating locals with the same name as the keys become tedious and annoying (especially when your keys are longer than one letter). Clojure anticipates this frustration and provides :keys directive that allows you to specify keys that you would like as locals with the same name. user=> (def point {:x 5 :y 7}) #'user/point user=> (let [{:keys [x y]} point] (println "x:" x "y:" y)) x: 5 y: 7 There are a few directives that work while destructuring maps. The above example shows the use of :keys. In practice I end up using :keys the most; however, I've also used the :as directive while working with maps. The following example illustrates the use of an :as directive to bind a local with the entire map. user=> (def point {:x 5 :y 7}) #'user/point user=> (let [{:keys [x y] :as the-point} point] (println "x:" x "y:" y "point:" the-point)) x: 5 y: 7 point: {:x 5, :y 7} We've now seen the :as directive used for both vectors and maps. In both cases, the locale is always assigned to the entire expression that is being destructured. For completeness I'll document the :or directive; however, I must admit that I've never used it in practice. The :or directive is used to assign default values when the map being destructured doesn't contain a specified key. user=> (def point {:y 7}) #'user/point user=> (let [{:keys [x y] :or {x 0 y 0} point] (println "x:" x "y:" y)) x: 0 y: 7 Lastly, it's also worth noting that you can destructure nested maps, vectors and a combination of both. The following example destructures a nested map user=> (def book {:name "SICP" :details {:pages 657 :isbn-10 "0262011530"}) #'user/book user=> (let [{name :name {pages :pages isbn-10 :isbn-10} :details} book] (println "name:" name "pages:" pages "isbn-10:" isbn-10)) name: SICP pages: 657 isbn-10: 0262011530 As you would expect, you can also use directives while destructuring nested maps. user=> (def book {:name "SICP" :details {:pages 657 :isbn-10 "0262011530"}) #'user/book user=> user=> (let [{name :name {:keys [pages isbn-10]} :details} book] (println "name:" name "pages:" pages "isbn-10:" isbn-10)) name: SICP pages: 657 isbn-10: 0262011530 Destructuring nested vectors is also very straight-forward, as the following example illustrates user=> (def numbers [[1 2][3 4]]) #'user/numbers user=> (let [[[a b][c d]] numbers] (println "a:" a "b:" b "c:" c "d:" d)) a: 1 b: 2 c: 3 d: 4 Since binding forms can be nested within one another arbitrarily, you can pull apart just about anything -- http://clojure.org/special_forms The following example destructures a map and a vector at the same time. user=> (def golfer {:name "Jim" :scores [3 5 4 5]}) #'user/golfer user=> (let [{name :name [hole1 hole2] :scores} golfer] (println "name:" name "hole1:" hole1 "hole2:" hole2)) name: Jim hole1: 3 hole2: 5 The same example can be rewritten using a function definition to show the simplicity of using destructuring in parameter lists. user=> (defn print-status [{name :name [hole1 hole2] :scores}] (println "name:" name "hole1:" hole1 "hole2:" hole2)) #'user/print-status user=> (print-status {:name "Jim" :scores [3 5 4 5]}) name: Jim hole1: 3 hole2: 5 There are other (less used) directives and deeper explanations available on http://clojure.org/special_forms and in The Joy of Clojure. I recommend both. **(defn do-something [x y & more] ... )

In Jonathan Giles's post An FX Experience Retrospective, he starts by looking at the history of JavaFX and focuses on "what has happened in the world of JavaFX" in 2011. I was highly skeptical of JavaFX prior to JavaOne 2010 (see here and here for examples), but started to think more positively about it after the JavaOne 2010 and JavaOne 2011 announcements related to JavaFX. One thing that has been a little tricky about learning JavaFX since JavaOne 2011's big announcements have been knowing for certain whether a particular resource on JavaFX applies to JavaFX 1.x or JavaFX 2.x. Reading the An FX Experience Retrospective post provided a different perspective on the risks and challenges Oracle and the JavaFX team has faced in making this major overhaul. A JavaFX Reboot is Going to be a Challenge It is absolutely the case that a JavaFx Reboot will be an extreme challenge in that most people haven’t given the idea of rebooting this system much thought at all. They assume that the JavaFx system will work just as well for them today as it has in the past, but they may be making a big mistake in making such a sweeping judgment. There are many who feel that JavaFx is in need of an update/upgrade, but it is not clear how that is going to be possible. So many of the elements of JavaFX were built with a specific purpose in mind, and it is far from easy to change course on that idea at this stage of the game. Thus, it seems likely that JavaFx will largely continue to exist as it has for all of these years and not receive the upgrade that it needs at this time. However, there are at least some people who are working around the edges to see what they can do about putting the JavaFx train back on the tracks that were designed for it. Giles writes in his post, "Another vivid recollection I have from JavaOne 2010 is the various reactions that people had of this news. It varied from those in shock at losing their favorite language, to those who said it was long overdue and was the right way to proceed with JavaFX." I was in the latter group, welcoming this change and I would have liked to see it happen even sooner. The ability to use JavaFX with standard Java language and APIs was a huge benefit in my opinion and finally gave credence to the pro-JavaFX argument to Java developers that "JavaFX is Java." The JavaOne 2011 announcements of making JavaFX open source and making it part of standard Java SE were likely less controversial for Java developers (who wouldn't want these characteristics?) and are also important to me in my renewed interest in JavaFX. For developers just learning JavaFX, it can be a bit tricky to know if an online resource is for JavaFX 1.x or 2.x without delving into the article. The changes in JavaFX from 1.x to 2.x are significant enough that I generally don't want to risk confusion by reading JavaFX 1.x resources (though some have found value in reading JavaFX 1.x resources in preparation for using JavaFX 2.0). However, there are some clues that can help make it quicker and easier to identify which version of JavaFX is applicable. It is most obvious that an article is about JavaFX 2.0 when it explicitly states so. I try to do this with my blog posts on JavaFX 2.0, though I'm sure I occasionally forget to do so. When an article or blog post does not state the version of JavaFX specifically, another good clue is the date of the resource. In general, it is usually safe to assume that anything written about JavaFX before late 2010 is about JavaFX 1.x and it is similarly safe to assume that most things written about JavaFX in 2011 or later are about JavaFX 2.x. Another clue to watch for is discussion in a resource that includes JavaFX Script or FXML references. The former (JavaFX Script) was exclusive to JavaFX 1.x and the latter (FXML) is exclusive to JavaFX 2.x. Some really good documentation on JavaFX 2.x has been made available recently. The JavaFX 2.0 documentation states the following about JavaFX 2.0 versus JavaFX 1.3: JavaFX 2.0 is the latest major update release for JavaFX. Many of the new features introduced in JavaFX 2.0 are incompatible with JavaFX 1.3. If you are developing a new application in JavaFX, it is recommended that you start with JavaFX 2.0. The JavaFX 2.0 documentation contains many newly written or updated articles and posts on JavaFX 2.0. This set of documentation includes What is JavaFX?, Getting Started with JavaFX, Working with the JavaFX Scene Graph, Introduction to FXML, Getting Started with FXML, and Using JavaFX Charts. Books on JavaFX provide another perspective on the challenges associated with the major shift in JavaFX's vision. Most JavaFX books that are currently available were written for JavaFX 1.x. berry120 (who has also blogged on JavaFX 2) recently asked, Any decent books on JavaFX 2? As far as I can tell, the only JavaFX 2.x book currently available is Carl Dea's JavaFX 2.0: Introduction by Example (I hope to write a review of this short, recipe-oriented book in the near future). This book has a publication date (2011) and JavaFX 2.0 in its title, making it clear that it's on JavaFX 2.0. With books, which typically have a longer time between writing and publishing, even early 2011 publication dates might still mean a book on JavaFX 1.x. Another good clue with books is the price of used books on the Amazon Marketplace. Books on old and/or deprecated language versions tend to be very cheap. Other books on JavaFX 2.0 are likely to come. Pro JavaFXTM 2 Platform A Definitive Guide to Script, Desktop and Mobile RIA with JavaTM Technology has an advertised publication date of 12 February 2012. Carefully wading through online resources and selecting books to purchase is tricky for developers because of the major shift in JavaFX's long-term vision. Giles's post provides some insight into the even greater effort required within Oracle and the JavaFX team to make this major shift. As painful as the shift is, I believe this shift in vision coming at the cost of short-term pain provides JavaFX a fighting chance for a prosperous long-term future.