Here are some free HTML WYSIWYG editors based on the Mozilla Gecko Engine.

I wanted to do some date manipulation in Clojure recently and figured that since clj-time is a wrapper around Joda Time it’d probably do the trick. The first thing we need to do is add the dependency to our project file and then run lein reps to pull down the appropriate JARs. The project file should look something like this: project.clj (defproject ranking-algorithms "0.1.0-SNAPSHOT" :license {:name "Eclipse Public License" :url "http://www.eclipse.org/legal/epl-v10.html"} :dependencies [[org.clojure/clojure "1.4.0"] [clj-time "0.6.0"]]) Now let’s load the clj-time.format namespace into the REPL since we know we’ll be parsing dates: > (require '(clj-time [format :as f])) The string that I want to convert into a date looks like this: (def string-date "18 September 2012") The first thing we should do is check whether there is an existing formatter that we can use by evaluating the following function: > (f/show-formatters) ... :hour-minute 06:45 :hour-minute-second 06:45:22 :hour-minute-second-fraction 06:45:22.473 :hour-minute-second-ms 06:45:22.473 :mysql 2013-09-20 06:45:22 :ordinal-date 2013-263 :ordinal-date-time 2013-263T06:45:22.473Z :ordinal-date-time-no-ms 2013-263T06:45:22Z :rfc822 Fri, 20 Sep 2013 06:45:22 +0000 ... There are a lot of different built in formatters but unfortunately I couldn’t find one that exactly matched our date format so we’ll have to write our own one. For that we’ll need to refresh our knowledge of Java date formatting: We end up with the following formatter: > (f/parse (f/formatter "dd MMM YYYY") string-date) # It took me much longer than it should have to remember that ‘MMM’ is the pattern to match a short form of a month but it’s just the same as what we’d have to do in Java but with some neat wrapper functions.

This post comes from Alberto Pose at the MuleSoft blog. Introduction Suppose that you have a Maven project and you want to download Node.js modules previously uploaded to NPM. One way of doing that without running node is by using the npm-maven-plugin. It allows the user to download the required Node modules without running node.js: It is completely implemented on the JVM. Getting Started First of all, you will need to add the Mule Maven repo to your pom.xml file: mulesoft-releases MuleSoft Repository https://repository.mulesoft.org/releases/ After doing that, you will need to add the following to the build->plugin section of your pom.xml file: org.mule.tools.javascript npm-maven-plugin 1.0 generate-sources fetch-modules colors:0.5.1 jshint:0.8.1 Then just execute: mvn generate-sources and that’s it! One more thing… By default, the modules can be found in src/main/resources/META-INF but that path can be changed setting the ‘outputDirectory’ parameter. Also, module transitivity is taken into account. That means that it will download all the required dependencies before downloading the specified module. Show me the code! The source code can be found here. Feel free to fork the project and propose changes to it. Happy (Node.js and Maven) hacking!

One of the problems with memory-mapped files is that you can’t actually map beyond the end of the file. So you can’t use that to extend your file. I had a thought about and set out to check out what happens when I create a sparse file, a file that only take space when you write to it, and at the same time, map it. As it turns out, this actually works pretty well in practice. You can do so without any issues. Here is how it works: using (var f = File.Create(path)) { int bytesReturned = 0; var nativeOverlapped = new NativeOverlapped(); if (!NativeMethod.DeviceIoControl(f.SafeFileHandle, EIoControlCode.FsctlSetSparse, IntPtr.Zero, 0, IntPtr.Zero, 0, ref bytesReturned, ref nativeOverlapped)) { throw new Win32Exception(); } f.SetLength(1024*1024*1024*64L); } This creates a sparse file that is 64 GB in size. Then we can map it normally: using (var mmf = MemoryMappedFile.CreateFromFile(path)) using (var memoryMappedViewAccessor = mmf.CreateViewAccessor(0, 1024*1024*1024*64L)) { for (long i = 0; i < memoryMappedViewAccessor.Capacity; i += buffer.Length) { memoryMappedViewAccessor.WriteArray(i, buffer, 0, buffer.Length); } } And then we can do stuff to it. And that includes writing to yet-unallocated parts of the file. This also means that you don’t have to worry about writing past the end of the file, the OS will take care of all of that for you. Happy happy, joy joy, etc. There is one problem with this method, however. It means that you have a 64 GB file, but you don’t have that much allocated. What that means in turn is that you might not have that much space available for the file. Which brings up an interesting question, what happens when you are trying to commit a new page, and the disk is out of space? Using file I/O you would get an I/O error with the right code. But when using memory mapped files, the error would actually turn up during access, which can happen pretty much anywhere. It also means that it is a Standard Exception Handling error in Windows, which requires special treatment. To test this out, I wrote the following so it would write to a disk that had only about 50 GB free. I wanted to know what would happen when it ran out of space. That is actually something that happens, and we need to be able to address this issue robustly. The kicker is that this might actually happen at any time, so that would really result is some… interesting behavior with regards to robustness. In other words, I don’t think that this is a viable option, it is a really cool trick, but I don’t think it is a very well thought out option. By the way, the result of my experiment was that we had an effectively a frozen process. No errors, nothing, just a hung. Also, I am pretty sure that WriteArray() is really slow, but I’ll check this out at another pointer in time.

In this post we are going to learn how we can use NHibernate in ASP.NET MVC application. What is NHibernate: ORMs(Object Relational Mapper) are quite popular this days. ORM is a mechanism to map database entities to Class entity objects without writing a code for fetching data and write some SQL queries. It automatically generates SQL Query for us and fetch data behalf on us. NHibernate is also a kind of Object Relational Mapper which is a port of popular Java ORM Hibernate. It provides a framework for mapping an domain model classes to a traditional relational databases. Its give us freedom of writing repetitive ADO.NET code as this will be act as our database layer. Let’s get started with NHibernate. How to download: There are two ways you can download this ORM. From nuget package and from the source forge site. Nuget - http://www.nuget.org/packages/NHibernate/ Source Forge-http://sourceforge.net/projects/nhibernate/ Creating a table for CRUD: I am going to use SQL Server 2012 express edition as a database. Following is a table with four fields Id, First Name, Last name, Designation. Creating ASP.NET MVC project for NHibernate: Let’s create a ASP.NET MVC project for NHibernate via click on File-> New Project –> ASP.NET MVC 4 web application. Installing NuGet package for NHibernate: I have installed nuget package from Package Manager console via following Command. It will install like following. NHibertnate configuration file: Nhibernate needs one configuration file for setting database connection and other details. You need to create a file with ‘hibernate.cfg.xml’ in model Nhibernate folder of your application with following details. NHibernate.Connection.DriverConnectionProvider NHibernate.Driver.SqlClientDriver Server=(local);database=LocalDatabase;Integrated Security=SSPI; NHibernate.Dialect.MsSql2012Dialect Here you have got different settings for NHibernate. You need to selected driver class, connection provider as per your database. If you are using other databases like Orcle or MySQL you will have different configuration. ThisNHibernate ORM can work with any databases. Creating a model class for NHibernate: Now it’s time to create model class for our CRUD operations. Following is a code for that. Property name is identical to database table columns. namespace NhibernateMVC.Models { public class Employee { public virtual int Id { get; set; } public virtual string FirstName { get; set; } public virtual string LastName { get; set; } public virtual string Designation { get; set; } } } Creating a mapping file between class and table: Now we need a xml mapping file between class and model with name “Employee.hbm.xml” like following in Nhibernate folder. Creating a class to open session for NHibernate I have created a class in models folder called NHIbernateSession and a static function it to open a session for NHibertnate. using System.Web; using NHibernate; using NHibernate.Cfg; namespace NhibernateMVC.Models { public class NHibertnateSession { public static ISession OpenSession() { var configuration = new Configuration(); var configurationPath = HttpContext.Current.Server.MapPath(@"~\Models\Nhibernate\hibernate.cfg.xml"); configuration.Configure(configurationPath); var employeeConfigurationFile = HttpContext.Current.Server.MapPath(@"~\Models\Nhibernate\Employee.hbm.xml"); configuration.AddFile(employeeConfigurationFile); ISessionFactory sessionFactory = configuration.BuildSessionFactory(); return sessionFactory.OpenSession(); } } } Listing: Now we have our open session method ready its time to write controller code to fetch data from the database. Following is a code for that. using System; using System.Web.Mvc; using NHibernate; using NHibernate.Linq; using System.Linq; using NhibernateMVC.Models; namespace NhibernateMVC.Controllers { public class EmployeeController : Controller { public ActionResult Index() { using (ISession session = NHibertnateSession.OpenSession()) { var employees = session.Query().ToList(); return View(employees); } } } } Here you can see I have get a session via OpenSession method and then I have queried database for fetching employee database. Let’s create a new for this you can create this via right lick on view on above method.We are going to create a strongly typed view for this. Our listing screen is ready once you run project it will fetch data as following. Create/Add: Now its time to write add employee code. Following is a code I have written for that. Here I have used session.save method to save new employee. First method is for returning a blank view and another method with HttpPost attribute will save the data into the database. public ActionResult Create() { return View(); } [HttpPost] public ActionResult Create(Employee emplolyee) { try { using (ISession session = NHibertnateSession.OpenSession()) { using (ITransaction transaction = session.BeginTransaction()) { session.Save(emplolyee); transaction.Commit(); } } return RedirectToAction("Index"); } catch(Exception exception) { return View(); } } Now let’s create a create view strongly typed view via right clicking on view and add view. Once you run this application and click on create new it will load following screen. Edit/Update: Now let’s create a edit functionality with NHibernate and ASP.NET MVC. For that I have written two action result method once for loading edit view and another for save data. Following is a code for that. public ActionResult Edit(int id) { using (ISession session = NHibertnateSession.OpenSession()) { var employee = session.Get(id); return View(employee); } } [HttpPost] public ActionResult Edit(int id, Employee employee) { try { using (ISession session = NHibertnateSession.OpenSession()) { var employeetoUpdate = session.Get(id); employeetoUpdate.Designation = employee.Designation; employeetoUpdate.FirstName = employee.FirstName; employeetoUpdate.LastName = employee.LastName; using (ITransaction transaction = session.BeginTransaction()) { session.Save(employeetoUpdate); transaction.Commit(); } } return RedirectToAction("Index"); } catch { return View(); } } Here in first action result I have fetched existing employee via get method of NHibernate session and in second I have fetched and changed the current employee with update details. You can create view for this via right click –>add view like below. I have created a strongly typed view for edit. Once you run code it will look like following. Details: Now it’s time to create a detail view where user can see the employee detail. I have written following logic for details view. public ActionResult Details(int id) { using (ISession session = NHibertnateSession.OpenSession()) { var employee = session.Get(id); return View(employee); } } You can add view like following via right click on actionresult view. now once you run this in browser it will look like following. Delete: Now its time to write delete functionality code. Following code I have written for that. public ActionResult Delete(int id) { using (ISession session = NHibertnateSession.OpenSession()) { var employee = session.Get(id); return View(employee); } } [HttpPost] public ActionResult Delete(int id, Employee employee) { try { using (ISession session = NHibertnateSession.OpenSession()) { using (ITransaction transaction = session.BeginTransaction()) { session.Delete(employee); transaction.Commit(); } } return RedirectToAction("Index"); } catch(Exception exception) { return View(); } } Here in the above first action result will have the delete confirmation view and another will perform actual delete operation with session delete method. When you run into the browser it will look like following. That’s it. It’s very easy to have crud operation with NHibernate. Stay tuned for more.

If you work with large, gridded datasets, you should probably be using NetCDF, the Network Common Data Form from Unidata: NetCDF is a set of software libraries and self-describing, machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. Lots of high-end analysis software can be made to support NetCDF, and it is indispensable for working with gridded datasets that weigh in at tens of gigabytes or more. This brief post describes the easiest way to install the NetCDF libraries and the R ‘ncdf’ package on our favorite systems: CentOS, Ubuntu and Mac OSX. CentOS 6.x CentOS is the operating system of choice if you want a free, robust, open-source server to host your scientific analysis. It is basically an unbranded clone of Red Hat Enterprise Linux. The following instructions worked on CentOS 6.2. Installing System Libraries First, go to http://fedoraproject.org/wiki/EPEL and check for the latest version of the Extended Packages for Enterprise Linux (which contains NetCDF, HDF and many other useful packages). The latest version should be specified on this page. To download a local copy of EPEL and install NetCDF from it, just execute the following commands: sudo wget http://mirror.metrocast.net/fedora/epel/6/i386/epel-release-6-8.noarch.rpm sudo rpm -Uvh epel-release-6-8.noarch.rpm sudo yum --assumeyes install netcdf sudo yum --assumeyes install netcdf-devel Note that adding EPEL as a package archive in the second line does not automatically install all the packages in EPEL. We had to manually install netcdf and netcdf-dev. A list of other available packages is given at the EPEL wiki given above. Installing R Package ‘ncdf’ With the libraries in place, we can now install the ncdf package for our favorite statistical package — R. sudo wget http://cran.r-project.org/src/contrib/ncdf_1.6.6.tar.gz sudo R CMD INSTALL --configure-args="--with-netcdf-include=/usr/include --with-netcdf-lib=/usr/lib" ncdf_1.6.6.tar.gz Ubuntu 12.04 Ubuntu is easy to install and has a great user interface for linux systems. Ubuntu 12.0.4 is the most recent Long-Term-Stable release. Installing System Libraries The following instructions worked on Ubuntu 12.04 LTS. To install NetCDF libraries that allow reading, writing and manipulation, use apt-get, rather than downloading the source files and installing them yourself. To install, open a terminal and type: sudo apt-get install netcdf Installing R package ‘ncdf’ The base version of R on Ubuntu 12.04 slt is 2.14.1. Unfortunately, clicking the install button in RStudio and typing 'ncdf' will only work at the user level. The package will not be installed for all users or even show up in all of your RStudio projects. To install ncdf tools in the global library you must start up R as root and use the following command: install.packages(repos=c('http://cran.fhcrc.org/'),pkgs=c('ncdf'),lib="/usr/lib/R/site-library/") ‘http://cran.fhcrc.org/’ should be replaced by whichever CRAN mirror is closest to you. OSX 10.8.4 Macs run OSX, which is Unix based. The following instructions worked on OSX 10.8.4 — Mountain Lion. Installing System Libraries The absolute easiest way to install NetCDF on a mac requires Macports. Macports is a software package designed to make installing and compiling software easy. Macports .pkg and installation instructions are available here. Once Macports is installed, building and installing NetCDF libraries is a one-step job. sudo port install netcdf More details and instructions for installing Fortran and Python APIs are available here. Installing R Package ‘ncdf’ Having NetCDF command line tools is not required to use the ncdf R package. Simply download the package from CRAN (link), or by clicking on the “install packages” button in RStudio. This package allows reading, writing and manipulation of existing .nc files. However, the package’s ability to view the content of nc files before loading them into the R workspace is limited. For this reason, installing the NetCDF tools outlined in the first section of this post is extremely important. Command line tools such as “ncdump” are crucial to effectively working with NetCDF files.

ElasticSearch provides Java API, thus it executes all operations asynchronously by using client object.

So, I’ve been wanting to get back to playing with C# for a while, and finally have had the opportunity. I’ve also been wanting to play with the Task library in .NET and see if I could get it to do something interesting, well below is the result. The code below, running in a .NET 4 project, will run two SQL SELECT statements against the AdventureWorks2012 database. There are three tasks in here, ParallelTask 1 and 2, and a timing task. The Parallel task takes a Connection String and a query as inputs, and passes out a Status Message. One of the important points with a task is that the task has to be self contained. This is why the connection is instantiated within the task. I also added in a Timing task (ParallelTiming) so I could pass out a ping message. The whole thing is controlled by the code in the main section, which is used to start the three tasks, with their appropriate parameters. After this it awaits the tasks completing, then passes out the resulting return messages. Try it out; it’s good fun and all you need is SQL Server, AdventureWorks and something to build C# projects. You can download the code here Have fun! /// Parallel_SQL demonstration code /// From Nick Haslam /// http://blog.nhaslam.com /// 16/9/2013 using System; using System.Collections.Generic; using System.Data.SqlClient; using System.Linq; using System.Text; using System.Threading.Tasks; namespace Parallel_SQL { class Program { /// /// First Parallel task /// ///Connection string details ///Query to execute ///Status message to pass back /// static Task ParallelTask1(string sConnString, string sQuery, Action StatusMessage) { return Task.Factory.StartNew(() => { SqlConnection conn = new SqlConnection(sConnString); conn.Open(); StatusMessage(“Running Query”); SqlDataReader reader = null; SqlCommand sqlCommand = new SqlCommand(sQuery, conn); reader = sqlCommand.ExecuteReader(); while (reader.Read()) { StatusMessage(reader[0].ToString()); } return “Task 1 Complete”; }); } /// /// Second Parallel task /// ///Connection string details ///Query to execute ///Status message to pass back /// static Task ParallelTask2(string sConnString, string sQuery, Action StatusMessage) { return Task.Factory.StartNew(() => { SqlConnection conn = new SqlConnection(sConnString); conn.Open(); StatusMessage(“Running Query”); SqlDataReader reader = null; SqlCommand sqlCommand = new SqlCommand(sQuery, conn); reader = sqlCommand.ExecuteReader(); while (reader.Read()) { StatusMessage(reader[0].ToString()); } return “Task 2 Complete”; }); } /// /// Timing Task /// ///Milliseconds between ping ///Status message to pass back /// static Task ParallelTiming(int iMSPause, Action StatusMessage) { return Task.Factory.StartNew(() => { for (int i = 0; i < 10; i++) { System.Threading.Thread.Sleep(iMSPause); StatusMessage(“******************** PING ********************”); } return “Timing task done”; }); } static void Main(string[] args) { string sConnString = “server=.; Trusted_Connection=yes; database=AdventureWorks2012;”; try { var Task1Control = ParallelTask1(sConnString, “SELECT top 500 TransactionID FROM Production.TransactionHistory”, (update) => { Console.WriteLine(String.Format(“{0} – {1}”, DateTime.Now, update)); }); var Task2Control = ParallelTask2(sConnString, “SELECT top 500 SalesOrderDetailID FROM sales.SalesOrderDetail”, (update) => { Console.WriteLine(String.Format(“{0} – \t\t{1}”, DateTime.Now, update)); }); var TimingTaskControl = ParallelTiming(250, (update) => { Console.WriteLine(String.Format(“{0} – \t\t\t{1}”, DateTime.Now, update)); }); // Await Completion of the tasks Console.WriteLine(“Task 1 Status – {0}”, Task1Control.Result); Console.WriteLine(“Task 2 Status – {0}”, Task2Control.Result); Console.WriteLine(“Timing Task Status – {0}”, TimingTaskControl.Result); } catch (Exception e) { Console.WriteLine(e.ToString()); } Console.ReadKey(); } } }

When I was implementing the Elo Rating algorithm a few weeks ago one thing I needed to do was come up with a base ranking for each team. I started out with a set of teams that looked like this: (def teams #{ "Man Utd" "Man City" "Arsenal" "Chelsea"}) and I wanted to transform that into a map from the team to their ranking e.g. Man Utd -> {:points 1200} Man City -> {:points 1200} Arsenal -> {:points 1200} Chelsea -> {:points 1200} I had read the documentation of array-map, a function which can be used to transform a collection of pairs into a map, and it seemed like it might do the trick. I started out by building an array of pairs using mapcat: > (mapcat (fn [x] [x {:points 1200}]) teams) ("Chelsea" {:points 1200} "Man City" {:points 1200} "Arsenal" {:points 1200} "Man Utd" {:points 1200}) array-map constructs a map from pairs of values e.g. > (array-map "Chelsea" {:points 1200} "Man City" {:points 1200} "Arsenal" {:points 1200} "Man Utd" {:points 1200}) ("Chelsea" {:points 1200} "Man City" {:points 1200} "Arsenal" {:points 1200} "Man Utd" {:points 1200}) Since we have a collection of pairs rather than individual pairs we need to use the apply function as well: > (apply array-map ["Chelsea" {:points 1200} "Man City" {:points 1200} "Arsenal" {:points 1200} "Man Utd" {:points 1200}]) {"Chelsea" {:points 1200}, "Man City" {:points 1200}, "Arsenal" {:points 1200}, "Man Utd" {:points 1200} And if we put it all together we end up with the following: > (apply array-map (mapcat (fn [x] [x {:points 1200}]) teams)) {"Man Utd" {:points 1200}, "Man City" {:points 1200}, "Arsenal" {:points 1200}, "Chelsea" {:points 1200} It works but the function we pass to mapcat feels a bit clunky. Since we just need to create a collection of team/ranking pairs we can use the vector and repeat functions to build that up instead: > (mapcat vector teams (repeat {:points 1200})) ("Chelsea" {:points 1200} "Man City" {:points 1200} "Arsenal" {:points 1200} "Man Utd" {:points 1200}) And if we put the apply array-map code back in we still get the desired result: > (apply array-map (mapcat vector teams (repeat {:points 1200}))) {"Chelsea" {:points 1200}, "Man City" {:points 1200}, "Arsenal" {:points 1200}, "Man Utd" {:points 1200} Alternatively we could use assoc like this: > (apply assoc {} (mapcat vector teams (repeat {:points 1200}))) {"Man Utd" {:points 1200}, "Arsenal" {:points 1200}, "Man City" {:points 1200}, "Chelsea" {:points 1200} I also came across the into function which seemed useful but took in a collection of vectors: > (into {} [["Chelsea" {:points 1200}] ["Man City" {:points 1200}] ["Arsenal" {:points 1200}] ["Man Utd" {:points 1200}] ]) We therefore need to change the code to use map instead of mapcat: > (into {} (map vector teams (repeat {:points 1200}))) {"Chelsea" {:points 1200}, "Man City" {:points 1200}, "Arsenal" {:points 1200}, "Man Utd" {:points 1200} However, my favourite version so far uses the zipmap function like so: > (zipmap teams (repeat {:points 1200})) {"Man Utd" {:points 1200}, "Arsenal" {:points 1200}, "Man City" {:points 1200}, "Chelsea" {:points 1200} I’m sure there are other ways to do this as well so if you know any let me know in the comments.

TestNG method that is annotated with @BeforeClass annotation will be run before the first test method in the current class is invoked.

one of the goals of our development with our javafx application is to try to keep as much of the ui design as possible within the scene builder ui design tool , and the business logic for the application in java. one of the things that is not entirely clear is how to create a new component in scene builder and then reuse that component within other components created in scene builder. in the example below, i illustrate how to create a custom table and ‘add plan’ components, and then add them to a new scene using fxml. the first step is to create a simple component which acts as an “add plan” widget on the ui. the widget contains an anchorpane, imageview and label. for the next step, open up the fxml file and change the first “anchorpane” declaration to “ create a class which will act as both the root of the component as well as its controller. the class must extend the type that was previously defined in the fxml file. use the fxml loader to set the root and controller of the component to “this” class, and then load the component’s fxml file. /* * to change this template, choose tools | templates * and open the template in the editor. */ package com.lynden.fx.test; import com.lynden.ui.util.uiutilities; import java.io.ioexception; import javafx.event.eventhandler; import javafx.fxml.fxml; import javafx.fxml.fxmlloader; import javafx.scene.input.dragevent; import javafx.scene.input.dragboard; import javafx.scene.input.transfermode; import javafx.scene.layout.anchorpane;/** * * @author robt */ public class testbutton extends anchorpane { @fxml private anchorpane mytestbutton; public testbutton() { fxmlloader fxmlloader = new fxmlloader( getclass().getresource("/com/lynden/planning/ui/testbutton.fxml")); fxmlloader.setroot(this); fxmlloader.setcontroller(this); try { fxmlloader.load(); } catch (ioexception exception) { throw new runtimeexception(exception); } } } next, the 2nd component is a tableview which contains a collection of beans, and displays their corresponding data. as with the last component, the first declaration is changed to next, the corresponding root and controller class is created for the table component. /* * to change this template, choose tools | templates * and open the template in the editor. */ package com.lynden.fx.test; import com.lynden.fx.inboundbean; import java.io.ioexception; import javafx.event.eventhandler; import javafx.event.eventtype; import javafx.fxml.fxml; import javafx.fxml.fxmlloader; import javafx.scene.control.tableview; import javafx.scene.input.clipboardcontent; import javafx.scene.input.dragboard; import javafx.scene.input.mouseevent; import javafx.scene.input.transfermode; import javafx.scene.layout.anchorpane; /** * * @author robt */ public class testtable extends anchorpane { @fxml private tableview mytableview; public testtable() { fxmlloader fxmlloader = new fxmlloader( getclass().getresource("/com/lynden/planning/ui/testtable.fxml")); fxmlloader.setroot(this); fxmlloader.setcontroller(this); try { fxmlloader.load(); } catch (ioexception exception) { throw new runtimeexception(exception); } } } finally, a new scene can be created which includes both the testtable and testbutton components that were constructed above. unfortunately, custom components can’t be added to the scene builder palette, so they must be inserted manually into the fxml file. you just need to ensure that you have the proper import statements defined, and the testtable and testbutton components can be inserted into the fxml code just as any native javafx component. when scene builder opens the fxml file you will see that both components are displayed on the new scene that’s it, hopefully this will help others who have been looking at adding custom components to their uis that are designed with scene builder. twitter: @robterp

Intro If you want to manage your SQL Databases in Azure using tools that you’re a little more familiar and comfortable with – for example – SQL Management Studio, how do you go about connecting? You could read the help article from Microsoft, or you can follow my intuitive screen-based instructions, below: Assumptions 1. I’m assuming you have a version of SQL Management Studio already installed. I believe you’ll need at least SQL Server 2008 R2’s version or newer 2. I’m further assuming you’ve already created a SQL Database in Azure Steps to Connect SSMS to SQL Azure 1. Authenticate to the Azure Portal 2. Click on SQL Databases 3. Click on Servers 4. Click on the name of the Server you wish to connect to… 5. Click on Configure… If not already in place, click on ‘Add to the allowed IP addresses’ to add your current IP address (or specify an address you wish to connect from) and click ‘Save’ 6. Open SQL Management Studio and connect to Database services (usually comes up by default) Enter the fully qualified server name (.database.windows.net) Change to SQL Server Authentication Enter the login preferred (if a new database, the username you specified when yuo created the DB server) Enter the correct password 7. Hit the Connect button Troubleshooting Ensure you have the appropriate ports open outbound from your local network or connection (typically port 1433) Ensure you have allowed the correct public IP address you’re trying to connect from via the Azure Portal (steps 1-5 above) Ensure you are using the correct server name and user name For SSMS, this is the server name (in step 4) followed by .database.windows.net Ensure you are using SQL Server Authentication For SSMS the username format is If you forgot the password of your username, you can reset the password in the Azure Portal, in step 4, click on Dashboard: Lastly… You can click on the Database (in step 2) to see your connection options:

Advantages coming from dependency injection can be addictive. It's a lot easier to configure application structure using injections than doing all resolutions manually. It's hard to resign from it when we have some non-managed classes that are instantiated outside of the container - for example being part of other frameworks like Vaadin UI components or JPA entities. The latter are especially important when we're using Domain Driven Design. During DDD training ran by Slawek Sobotka we were talking about options to remove "bad coupling" from aggregate factories. I'm sure you'll admit, that it's better to have generic mechanism able to "energize" objects by dependencies defined by e.g. @Inject annotation than inject all necessary dependencies into particular factory and then pass them into object by constructor, builder or simple setters. Spring framework brings us two different solutions to achieve such requirement. I'll now describe them both of them. Let's start with with simpler one. It's especially powerful when we've case such as generic repository, mentioned earlier aggregate factory, or even any other factory just ensuring that we have only few places in our code where will instantiate objects outside of the container. In this case we can make use of AutowireCapableBeanFactory class. In particular we will be interested in two methods: void autowireBean(Object existingBean) Object initializeBean(Object existingBean, String beanName) The first one just populates our bean without applying specific post processors (e.g. @PostConstruct, etc). The second one additionally applies factory callbacks like setBeanName and setBeanFactory, as well as any other post processors with @PostConstruct of course. In our code it'll look like this: public abstract class GenericFactory { @Autowired private AutowireCapableBeanFactory autowireBeanFactory; public T createBean() { // creation logic autowireBeanFactory.autowireBean(createdBean); return createdBean; } } Simple and powerful - my favorite composition :) But what can we do when we have plenty places in our code where objects get born? That's for example case of building Vaadin layouts in Spring web application. Injecting custom bean configurer objects invoking autowireBean method won't be the peak of productivity. Happily Spring developers brought us @Configurable annotation. This annotation connected with aspects will configure each annotated object even if we will create it outside of the container using new operator. Like with any other aspects we can choose between load-time-waving (LTW) compile-time-waving (CTW). The first one is easier to configure but we become (due to instrumentation) dependent from application server, which can be undesirable in some cases. To use it we need to annotate our @Configuration class by @EnableLoadTimeWeaving (or add tag if you like Flintstones and XML configuration ;)) After completing configuration just annotate class by @Configurable: @Configurable public class MyCustomButton extends Button { @Autowired private MyAwesomeService myAwesomeService; // handlers making use of injected service } The second option is a little bit more complex to setup but after this it will be a lot lighter in runtime. Because now we want to load aspects till compilation we have to integrate aspectj compiler into our build. In Maven you need to add few dependencies: org.aspectj aspectjrt 1.7.3 org.springframework spring-aspects 3.2.4.RELEASE org.springframework spring-tx 3.2.4.RELEASE javax.persistence persistence-api 1.0 provided I hope you are curious why above you can see persistence-api. That was also strange for me, when I saw "can't determine annotations of missing type javax.persistence.Entity" error during aspectj compilation. The answer can be found in SpringFramework JIRA in issue SPR-6819. This happens when you configure spring-aspects as a aspectLibrary in aspectj-maven-plugin. Issue is unresolved for over three year so better get used to it :) The last thing we need to do is to include above-mentioned plugin into our plugins section. org.codehaus.mojo aspectj-maven-plugin 1.5 1.7 1.7 1.7 true org.springframework spring-aspects compile And that's all folks :)

"this is my rifle. there are many like it, but this one is mine." - rifleman’s creed there are a thousand ways to grep over files. most developers i have observed keep a separate command line open just for searching. a few use an ide that has file search built in. personally, i use a couple of vim macros. in vim, you can execute a cross-file search with something like :vimgrep /dostuff()/j ../**/*.c . i don’t know about you, but the first time i saw that syntax my brain simply refused. instead, i have the following in my .vimrc file: " opens search results in a window w/ links and highlight the matches command! -nargs=+ grep execute 'silent grep! -i -r -n --exclude *.{json,pyc} . -e ' | copen | execute 'silent /' " shift-control-* greps for the word under the cursor :nmap g :grep =expand("") the first command is just a simple alias for the above mentioned native grep. like all custom commands, it must start with a capital letter (to differentiate it from native commands). you simply type :grep foobar and it will search in your current directory through all file extensions (except .json and .pyc -- you can add more to the blacklist). it also displays the results in a nice little buffer window, which you can navigate through with normal hjkl keys, and open matches in the main editor window. the second line is a key mapping that will grep for the word currently under the cursor. you can just navigate to a word and hit leader-g to issue the grep command.

I’ve been playing with Clojure over the last few weeks and as a result I’ve been using a lot of maps to represent the data. For example if we have the following map of teams to Glicko ratings and ratings deviations: (def teams { "Man. United" {:points 1500 :rd 350} "Man. City" {:points 1450 :rd 300} }) We might want to increase Man. United’s points score by one for which we could use the update-in function: > (update-in teams ["Man. United" :points] inc) {"Man. United" {:points 1501, :rd 350}, "Man. City" {:points 1450, :rd 300} The 2nd argument to update-in is a nested associative structure i.e. a sequence of keys into the map in this instance. If we wanted to reset Man. United’s points score we could use assoc-in: > (assoc-in teams ["Man. United" :points] 1) {"Man. United" {:points 1, :rd 350}, "Man. City" {:points 1450, :rd 300} If we want to update multiple keys at once then we can chain them using the -> (thread first) macro: (-> teams (assoc-in ["Man. United" :points] 1600) (assoc-in ["Man. United" :rd] 200)) {"Man. United" {:points 1600, :rd 200}, "Man. City" {:points 1450, :rd 300} If instead of replacing just one part of the value we want to replace the whole entry we could use associnstead: > (assoc teams "Man. United" {:points 1600 :rd 300}) {"Man. United" {:points 1600, :rd 300}, "Man. City" {:points 1450, :rd 300} assoc can also be used to add a new key/value to the map. e.g. > (assoc teams "Arsenal" {:points 1500 :rd 330}) {"Man. United" {:points 1500, :rd 350}, "Arsenal" {:points 1500, :rd 330}, "Man. City" {:points 1450, :rd 300} dissoc plays the opposite role and returns a new map without the specified keys: > (dissoc teams "Man. United" "Man. City") {} And those are all the map based functions I’ve played around with so far…

A PHP template engine is a way of outputting PHP in your HTML without using PHP syntax or PHP tags. It's supposed to be used by having a PHP class that will send your HTML the variables you want to display, and the HTML simply displays this data. This means that you are forced to separate your PHP logic from the HTML output, which is great; separation in your code is what you should be aiming for. The best way to understand what a template engine does it to see the code. Below is a basic page where you might want to display a title and a list of products. getAllProducts(); ?> title; ?> description; ?> The idea of using a template engine is that you would remove the $title variable and the $products variable and put this in a class, and then call a template file to display the HTML. getAllProducts(); $this->renderHtml('all-products.html', $vars); } } ?> The renderHtml() method will pass in the variables you want to display to the template file, which will look similar to this. {{ title } {% for product in products %} {{ product.title } {{ product.description } {% else %} No products exist. {% endfor %} As you can see, there is a separation of the PHP logic and display of code. Another reason why you might use a template engine is because now you have an HTML view file, which you can give to your front-end developer to style, and a template engine is arguably easier to read than using PHP syntax. What Frameworks Currently Use Template Engines? There are a few large frameworks that currently use a template engine. Some that I've used are Laravel, Drupal 8 and Expression Engine. All of these use different template engines but the understanding of how they work is similar. Laravel - Blade Templating Laravel uses a template engine called Blade. Here is an example of how you will use blade in your HTML views. @section('sidebar') This is the master sidebar. @show @yield('content') Output a Variable {{ $val } Foreach Loop @foreach ($users as $user) {{ $user->name } @endforeach If/else Statement @if ($user->name == 'Dave') Welcome Dave! @else Welcome Guest! @endif Blade Templating Drupal - Twig The Drupal CMS uses a template engine called Twig. This was developed to make templating quicker and more secure. It works in a similar way as blade but the syntax is slightly different. Output a Variable {{ var } For Loop {% for user in users %} * {{ user.name } {% else %} No user have been found. {% endfor %} Inherit Templates {% extends "layout.html" %} {% block content %} Content of the page... {% endblock %} Twig Smarty Another populate template engine is called Smarty. Again, Smarty was developed for code and HTML separation, and to make your templates easier to read. Output a Variable {$name} Foreach Loop {foreach $users as $user} {strip} {$user.name}{$user.phone} {/strip} {/foreach} If Statement {if $name == 'Fred'} Welcome Sir. {elseif $name == 'Wilma'} Welcome Ma'am. {else} Welcome, whatever you are. {/if} Smarty Using a Template Engine The three examples of template engines I gave above are not the only template engines available. There are many, and not just for PHP. Lots of other languages can use a template engine. Even though they are different engines, they are all similar in a way; they were all developed to make front-end templating quicker and easier to read. They all mention that this forces separation of your code and makes HTML easier to read, because you don't have any PHP tags in your HTML. But when I work with these different engines, I never enjoy developing with them. I actually find that they drastically slow down my development because I now have to look up the Smarty syntax or the Twig syntax for the thing I want to do. What they mention about code separation is exactly right; you shouldn't have logic in your HTML. However, you don't need a templating system to do this. In a previous tutorial I demonstrated how you can separate your HTML from your code with a simple method using output buffering. Separate HTML From Code So, while dealing with logic separation is up to the developer to do properly, the benefit of a template language is that it enforces it. If you're worried about separation you can use an MVC framework, or just create a method, and use the ob_buffer to get the HTML contents. If a developer is going to add log-in to an HTML file, they can't complain about separation and not being able to debug easily. I also don't agree with what's mentioned about the template engines being easier to read. Take a foreach in blade for an example of the difference: name; ?> @foreach ($users as $user) {{ $user->name } @endforeach There's not much difference between these code samples, except in Blade you use: {{ $user->name } In PHP, on the other hand, you use: name; ?> I even made the PHP do more than I have to. I could have simply used the printf() function to output the div, so it would look like this: %s', $user->name); } ?> Is it really so difficult to read that we have to learn a whole new template language to output variables in your HTML? I don't think so. Benefit of Using a Template Engine In my experience, there isn't a benefit to using a template engine over native PHP templating, but there must be some benefit, or there would be no reason to use it. So, I asked this question on Google+: what is the benefit or using a template engine? One of the answers I had directed me to this post on stackoverflow explaining some of the benefits of using a template engine. Some of the benefits mentioned are: New syntax Automatic escaping Template inheritance Ease of reading for non-developers Now, I would argue that learning a new syntax is not a benefit. Having to look up the correct syntax every time I need to do a foreach loop or an if statement is going to take up so much more time than simply using PHP. Automatic escaping is a real benefit. So many developers forget to escape when outputting content on the page, and this takes care of that for you. But it's really not that difficult to create a function that will escape the content of a variable. If you want some good examples, there's a formatting file (/wp-includes/formatting.php) in WordPress with loads of escaping functions you can use in different situations. Then you make sure you escape your content before sending it to the view. Template inheritance is another good benefit for some pages, and could be used for skinning different areas of the site. The ease of reading for non-developers is the one I disagree with most. PHP is not a hard language to read. It's not even a hard language to learn. If you have a front-end developer that is changing your HTML and can't understand what you're doing with the PHP, then I would recommend that they go and learn the basics of PHP. I'm not saying they need to learn how everything works and OOP principles, but just the basics so they can identify what an if statement is, what a for loop is, and so on. The native PHP syntax is not that different from the template engine syntax, so if they can learn that, then they most certainly can learn PHP syntax. For me, the only real benefit to using a template engine is security and autoescaping the output of the HTML. I'm not here to discourage people from using template engines; I can see they have their place, but like anything, you have to use them on the right projects. It depends on your team for the project, the size of the application, who's coding the HTML and whether the content author will want to change the HTML. In some cases, template engines might be perfect for your project. Here is a good article for reasons why you should be using template engines: Template Engines In PHP. In conclusion, I'm not really a fan of these template engines. For me, they just add another layer, another language you need to learn with little benefit. So, am I going to use these in my future projects? I'm still undecided. I can see they have a place and a reason for being used, but I think things take longer when developing with them, and they're not easy to debug.

Program Statement How to generate Hailstone Sequence in Java? Solution The Hailstone sequence of numbers can be generated from a starting positive integer, n by: If n is 1 then the sequence ends. If n is even then the next n of the sequence = n/2 If n is odd then the next n of the sequence = (3 * n) + 1 Code ? package com.skilledmonster.examples.operations; import java.util.Scanner; /** * Program to generate Hailstone Sequence. * This program reads a number from the user then displays the Hailstone sequence * for that number followed by a line that shows the number of steps taken to reach 1. * * @author Jagadeesh Motamarri * @version 1.0 */ public class HailstoneSequenceGenerator { public static void main(String[] args) { Scanner inputScanner = new Scanner(System.in); System.out.printf("Enter a Number: "); try { int number = inputScanner.nextInt(); int steps = 0; while (number != 1) { if (number % 2 == 0) { System.out.println(number + " is even, so I take half: " + number / 2); number /= 2; } else { System.out.println(number + " is odd, so I make 3n + 1: " + (number * 3 + 1)); number = number * 3 + 1; } steps++; } System.out.println("The process took " + steps + (steps < 2 ? " step" : " steps") + " to reach 1"); } catch (Exception e) { System.out.println("Not a Number!! Run your Program again "); } } } Output As shown in the console output, for interger 17, it took 12 steps to reach 1 using Hailstone Sequence. References http://en.wikipedia.org/wiki/Collatz_conjecture

A few days back, I blogged on using SignalR and Angular JS together and on Implementing SignalR stock ticker sample using Angular JS(Part 1 and Part 2). In those posts, I have used the traditional call-back model to call the functions defined in controller to modify data whenever an update is received from the server. One of the readers sent me feedback saying that we have a better way to use SignalR and Angular JS together. The way to go is using event methods defined on $rootscope object. This approach is based on publishing and subscribing events. As events can be published from anywhere and subscribed from anywhere, the source and destination will remain completely unaware of each other. Both of them have to depend on just one object, $rootScope. Official documentation on scope contains details on each method defined on $rootScope. We will be using the following methods for publishing and subscribing the events: $emit(name, args): Publishes an event with specified name with given arguments $on(name, listener): Subscribes to an event with specified name. Listener is a function containing logic to be executed once the event has occurred To manage SignalR’s client functionality, it is better to create a service, as services are singletons. There will be only one instance of the service in entire application. This behaviour of services makes it possible to have multiple SignalR client pages in the applications and they can be kept in sync without putting any extra amount of effort. Let’s modify the example discussed in the post titled Hooking up ASP.NET SignalR with Angular JS to use event model. Server hub, references and structure of the HTML page remains the same as past. The only components to be modified are Controller and Service. Service carries the responsibility to initialize a connection to the hub and call the SignalR’s server methods. Once a response is received from the server, we will broadcast an event from the service with data received. app.service('signalRSvc', function ($, $rootScope) { var proxy = null; var initialize = function () { //Getting the connection object connection = $.hubConnection(); //Creating proxy this.proxy = connection.createHubProxy('helloWorldHub'); //Starting connection connection.start(); //Publishing an event when server pushes a greeting message this.proxy.on('acceptGreet', function (message) { $rootScope.$emit("acceptGreet",message); }); }; var sendRequest = function () { //Invoking greetAll method defined in hub this.proxy.invoke('greetAll'); }; return { initialize: initialize, sendRequest: sendRequest }; }); To keep the things simple, I kept names of the server hub event and event rose using $emit the same. The names can be different. Let’s modify the controller to have a listener to the event raised by the service. Following is the implementation of the controller: function SignalRAngularCtrl($scope, signalRSvc, $rootScope) { $scope.text = ""; $scope.greetAll = function () { signalRSvc.sendRequest(); } updateGreetingMessage = function (text) { $scope.text = text; } signalRSvc.initialize(); //Updating greeting message after receiving a message through the event $scope.$parent.$on("acceptGreet", function (e,message) { $scope.$apply(function () { updateGreetingMessage(message) }); }); } Now open the modified page on multiple browsers and click the Greeting button randomly from all browsers. Messages printed on all browsers should be updated whenever the button is clicked. This behaviour is same as it was earlier. We just adopted a better approach to make it work. Happy coding!

The following are top 10 methods for Java Array. They are the most voted questions from stackoverflow. 0. Decalre an array String[] aArray = new String[5]; String[] bArray = {"a","b","c", "d", "e"}; String[] cArray = new String[]{"a","b","c","d","e"}; 1. Print an array in Java int[] intArray = { 1, 2, 3, 4, 5 }; String intArrayString = Arrays.toString(intArray); // print directly will print reference value System.out.println(intArray); // [I@7150bd4d System.out.println(intArrayString); // [1, 2, 3, 4, 5] 2. Create ArrayList from array String[] stringArray = { "a", "b", "c", "d", "e" }; ArrayList arrayList = new ArrayList(Arrays.asList(stringArray)); System.out.println(arrayList); // [a, b, c, d, e] 3. Check if an array contains a certain value String[] stringArray = { "a", "b", "c", "d", "e" }; boolean b = Arrays.asList(stringArray).contains("a"); System.out.println(b); // true 4. Concatenate two arrays int[] intArray = { 1, 2, 3, 4, 5 }; int[] intArray2 = { 6, 7, 8, 9, 10 }; // Apache Commons Lang library int[] combinedIntArray = ArrayUtils.addAll(intArray, intArray2); 5. Declare array inline method(new String[]{"a", "b", "c", "d", "e"}); 6. Joins the elements of the provided array into a single String // containing the provided list of elements // Apache common lang String j = StringUtils.join(new String[] { "a", "b", "c" }, ", "); System.out.println(j); // a, b, c 7. Covnert ArrayList to Array String[] stringArray = { "a", "b", "c", "d", "e" }; ArrayList arrayList = new ArrayList(Arrays.asList(stringArray)); String[] stringArr = new String[arrayList.size()]; arrayList.toArray(stringArr); for (String s : stringArr) System.out.println(s); 8. Convert Array to Set Set set = new HashSet(Arrays.asList(stringArray)); System.out.println(set); //[d, e, b, c, a] 9. Reverse an array int[] intArray = { 1, 2, 3, 4, 5 }; ArrayUtils.reverse(intArray); System.out.println(Arrays.toString(intArray)); //[5, 4, 3, 2, 1] 10. Remove element of an array int[] intArray = { 1, 2, 3, 4, 5 }; int[] removed = ArrayUtils.removeElement(intArray, 3);//create a new array System.out.println(Arrays.toString(removed)); One more – convert int to byte array byte[] bytes = ByteBuffer.allocate(4).putInt(8).array(); for (byte t : bytes) { System.out.format("0x%x ", t); } In addition, do you know what arrays look like in memory ?

Learn about deploying and debugging Visual Studio packages.