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  • OpenGL basics: calling glDrawElements once per object

    - by Bethor
    Hi all, continuing on from my explorations of the basics of OpenGL (see this question), I'm trying to figure out the basic principles of drawing a scene with OpenGL. I am trying to render a simple cube repeated n times in every direction. My method appears to yield terrible performance : 1000 cubes brings performance below 50fps (on a QuadroFX 1800, roughly a GeForce 9600GT). My method for drawing these cubes is as follows: done once: set up a vertex buffer and array buffer containing my cube vertices in model space set up an array buffer indexing the cube for drawing as 12 triangles done for each frame: update uniform values used by the vertex shader to move all cubes at once done for each cube, for each frame: update uniform values used by the vertex shader to move each cube to its position call glDrawElements to draw the positioned cube Is this a sane method ? If not, how does one go about something like this ? I'm guessing I need to minimize calls to glUniform, glDrawElements, or both, but I'm not sure how to do that. Full code for my little test : (depends on gletools and pyglet) I'm aware that my init code (at least) is really ugly; I'm concerned with the rendering code for each frame right now, I'll move to something a little less insane for the creation of the vertex buffers and such later on. import pyglet from pyglet.gl import * from pyglet.window import key from numpy import deg2rad, tan from gletools import ShaderProgram, FragmentShader, VertexShader, GeometryShader vertexData = [-0.5, -0.5, -0.5, 1.0, -0.5, 0.5, -0.5, 1.0, 0.5, -0.5, -0.5, 1.0, 0.5, 0.5, -0.5, 1.0, -0.5, -0.5, 0.5, 1.0, -0.5, 0.5, 0.5, 1.0, 0.5, -0.5, 0.5, 1.0, 0.5, 0.5, 0.5, 1.0] elementArray = [2, 1, 0, 1, 2, 3,## back face 4, 7, 6, 4, 5, 7,## front face 1, 3, 5, 3, 7, 5,## top face 2, 0, 4, 2, 4, 6,## bottom face 1, 5, 4, 0, 1, 4,## left face 6, 7, 3, 6, 3, 2]## right face def toGLArray(input): return (GLfloat*len(input))(*input) def toGLushortArray(input): return (GLushort*len(input))(*input) def initPerspectiveMatrix(aspectRatio = 1.0, fov = 45): frustumScale = 1.0 / tan(deg2rad(fov) / 2.0) fzNear = 0.5 fzFar = 300.0 perspectiveMatrix = [frustumScale*aspectRatio, 0.0 , 0.0 , 0.0 , 0.0 , frustumScale, 0.0 , 0.0 , 0.0 , 0.0 , (fzFar+fzNear)/(fzNear-fzFar) , -1.0, 0.0 , 0.0 , (2*fzFar*fzNear)/(fzNear-fzFar), 0.0 ] return perspectiveMatrix class ModelObject(object): vbo = GLuint() vao = GLuint() eao = GLuint() initDone = False verticesPool = [] indexPool = [] def __init__(self, vertices, indexing): super(ModelObject, self).__init__() if not ModelObject.initDone: glGenVertexArrays(1, ModelObject.vao) glGenBuffers(1, ModelObject.vbo) glGenBuffers(1, ModelObject.eao) glBindVertexArray(ModelObject.vao) initDone = True self.numIndices = len(indexing) self.offsetIntoVerticesPool = len(ModelObject.verticesPool) ModelObject.verticesPool.extend(vertices) self.offsetIntoElementArray = len(ModelObject.indexPool) ModelObject.indexPool.extend(indexing) glBindBuffer(GL_ARRAY_BUFFER, ModelObject.vbo) glEnableVertexAttribArray(0) #position glVertexAttribPointer(0, 4, GL_FLOAT, GL_FALSE, 0, 0) glBindBuffer(GL_ELEMENT_ARRAY_BUFFER, ModelObject.eao) glBufferData(GL_ARRAY_BUFFER, len(ModelObject.verticesPool)*4, toGLArray(ModelObject.verticesPool), GL_STREAM_DRAW) glBufferData(GL_ELEMENT_ARRAY_BUFFER, len(ModelObject.indexPool)*2, toGLushortArray(ModelObject.indexPool), GL_STREAM_DRAW) def draw(self): glDrawElements(GL_TRIANGLES, self.numIndices, GL_UNSIGNED_SHORT, self.offsetIntoElementArray) class PositionedObject(object): def __init__(self, mesh, pos, objOffsetUf): super(PositionedObject, self).__init__() self.mesh = mesh self.pos = pos self.objOffsetUf = objOffsetUf def draw(self): glUniform3f(self.objOffsetUf, self.pos[0], self.pos[1], self.pos[2]) self.mesh.draw() w = 800 h = 600 AR = float(h)/float(w) window = pyglet.window.Window(width=w, height=h, vsync=False) window.set_exclusive_mouse(True) pyglet.clock.set_fps_limit(None) ## input forward = [False] left = [False] back = [False] right = [False] up = [False] down = [False] inputs = {key.Z: forward, key.Q: left, key.S: back, key.D: right, key.UP: forward, key.LEFT: left, key.DOWN: back, key.RIGHT: right, key.PAGEUP: up, key.PAGEDOWN: down} ## camera camX = 0.0 camY = 0.0 camZ = -1.0 def simulate(delta): global camZ, camX, camY scale = 10.0 move = scale*delta if forward[0]: camZ += move if back[0]: camZ += -move if left[0]: camX += move if right[0]: camX += -move if up[0]: camY += move if down[0]: camY += -move pyglet.clock.schedule(simulate) @window.event def on_key_press(symbol, modifiers): global forward, back, left, right, up, down if symbol in inputs.keys(): inputs[symbol][0] = True @window.event def on_key_release(symbol, modifiers): global forward, back, left, right, up, down if symbol in inputs.keys(): inputs[symbol][0] = False ## uniforms for shaders camOffsetUf = GLuint() objOffsetUf = GLuint() perspectiveMatrixUf = GLuint() camRotationUf = GLuint() program = ShaderProgram( VertexShader(''' #version 330 layout(location = 0) in vec4 objCoord; uniform vec3 objOffset; uniform vec3 cameraOffset; uniform mat4 perspMx; void main() { mat4 translateCamera = mat4(1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, cameraOffset.x, cameraOffset.y, cameraOffset.z, 1.0f); mat4 translateObject = mat4(1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, objOffset.x, objOffset.y, objOffset.z, 1.0f); vec4 modelCoord = objCoord; vec4 positionedModel = translateObject*modelCoord; vec4 cameraPos = translateCamera*positionedModel; gl_Position = perspMx * cameraPos; }'''), FragmentShader(''' #version 330 out vec4 outputColor; const vec4 fillColor = vec4(1.0f, 1.0f, 1.0f, 1.0f); void main() { outputColor = fillColor; }''') ) shapes = [] def init(): global camOffsetUf, objOffsetUf with program: camOffsetUf = glGetUniformLocation(program.id, "cameraOffset") objOffsetUf = glGetUniformLocation(program.id, "objOffset") perspectiveMatrixUf = glGetUniformLocation(program.id, "perspMx") glUniformMatrix4fv(perspectiveMatrixUf, 1, GL_FALSE, toGLArray(initPerspectiveMatrix(AR))) obj = ModelObject(vertexData, elementArray) nb = 20 for i in range(nb): for j in range(nb): for k in range(nb): shapes.append(PositionedObject(obj, (float(i*2), float(j*2), float(k*2)), objOffsetUf)) glEnable(GL_CULL_FACE) glCullFace(GL_BACK) glFrontFace(GL_CW) glEnable(GL_DEPTH_TEST) glDepthMask(GL_TRUE) glDepthFunc(GL_LEQUAL) glDepthRange(0.0, 1.0) glClearDepth(1.0) def update(dt): print pyglet.clock.get_fps() pyglet.clock.schedule_interval(update, 1.0) @window.event def on_draw(): with program: pyglet.clock.tick() glClear(GL_COLOR_BUFFER_BIT|GL_DEPTH_BUFFER_BIT) glUniform3f(camOffsetUf, camX, camY, camZ) for shape in shapes: shape.draw() init() pyglet.app.run()

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  • Graphics.MeasureCharacterRanges giving wrong size calculations in C#.Net?

    - by Owen Blacker
    I'm trying to render some text into a specific part of an image in a Web Forms app. The text will be user entered, so I want to vary the font size to make sure it fits within the bounding box. I have code that was doing this fine on my proof-of-concept implementation, but I'm now trying it against the assets from the designer, which are larger, and I'm getting some odd results. I'm running the size calculation as follows: StringFormat fmt = new StringFormat(); fmt.Alignment = StringAlignment.Center; fmt.LineAlignment = StringAlignment.Near; fmt.FormatFlags = StringFormatFlags.NoClip; fmt.Trimming = StringTrimming.None; int size = __startingSize; Font font = __fonts.GetFontBySize(size); while (GetStringBounds(text, font, fmt).IsLargerThan(__textBoundingBox)) { context.Trace.Write("MyHandler.ProcessRequest", "Decrementing font size to " + size + ", as size is " + GetStringBounds(text, font, fmt).Size() + " and limit is " + __textBoundingBox.Size()); size--; if (size < __minimumSize) { break; } font = __fonts.GetFontBySize(size); } context.Trace.Write("MyHandler.ProcessRequest", "Writing " + text + " in " + font.FontFamily.Name + " at " + font.SizeInPoints + "pt, size is " + GetStringBounds(text, font, fmt).Size() + " and limit is " + __textBoundingBox.Size()); I then use the following line to render the text onto an image I'm pulling from the filesystem: g.DrawString(text, font, __brush, __textBoundingBox, fmt); where: __fonts is a PrivateFontCollection, PrivateFontCollection.GetFontBySize is an extension method that returns a FontFamily RectangleF __textBoundingBox = new RectangleF(150, 110, 212, 64); int __minimumSize = 8; int __startingSize = 48; Brush __brush = Brushes.White; int size starts out at 48 and decrements within that loop Graphics g has SmoothingMode.AntiAlias and TextRenderingHint.AntiAlias set context is a System.Web.HttpContext (this is an excerpt from the ProcessRequest method of an IHttpHandler) The other methods are: private static RectangleF GetStringBounds(string text, Font font, StringFormat fmt) { CharacterRange[] range = { new CharacterRange(0, text.Length) }; StringFormat myFormat = fmt.Clone() as StringFormat; myFormat.SetMeasurableCharacterRanges(range); using (Graphics g = Graphics.FromImage(new Bitmap( (int) __textBoundingBox.Width - 1, (int) __textBoundingBox.Height - 1))) { g.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.AntiAlias; g.TextRenderingHint = System.Drawing.Text.TextRenderingHint.AntiAlias; Region[] regions = g.MeasureCharacterRanges(text, font, __textBoundingBox, myFormat); return regions[0].GetBounds(g); } } public static string Size(this RectangleF rect) { return rect.Width + "×" + rect.Height; } public static bool IsLargerThan(this RectangleF a, RectangleF b) { return (a.Width > b.Width) || (a.Height > b.Height); } Now I have two problems. Firstly, the text sometimes insists on wrapping by inserting a line-break within a word, when it should just fail to fit and cause the while loop to decrement again. I can't see why it is that Graphics.MeasureCharacterRanges thinks that this fits within the box when it shouldn't be word-wrapping within a word. This behaviour is exhibited irrespective of the character set used (I get it in Latin alphabet words, as well as other parts of the Unicode range, like Cyrillic, Greek, Georgian and Armenian). Is there some setting I should be using to force Graphics.MeasureCharacterRanges only to be word-wrapping at whitespace characters (or hyphens)? This first problem is the same as post 2499067. Secondly, in scaling up to the new image and font size, Graphics.MeasureCharacterRanges is giving me heights that are wildly off. The RectangleF I am drawing within corresponds to a visually apparent area of the image, so I can easily see when the text is being decremented more than is necessary. Yet when I pass it some text, the GetBounds call is giving me a height that is almost double what it's actually taking. Using trial and error to set the __minimumSize to force an exit from the while loop, I can see that 24pt text fits within the bounding box, yet Graphics.MeasureCharacterRanges is reporting that the height of that text, once rendered to the image, is 122px (when the bounding box is 64px tall and it fits within that box). Indeed, without forcing the matter, the while loop iterates to 18pt, at which point Graphics.MeasureCharacterRanges returns a value that fits. The trace log excerpt is as follows: Decrementing font size to 24, as size is 193×122 and limit is 212×64 Decrementing font size to 23, as size is 191×117 and limit is 212×64 Decrementing font size to 22, as size is 200×75 and limit is 212×64 Decrementing font size to 21, as size is 192×71 and limit is 212×64 Decrementing font size to 20, as size is 198×68 and limit is 212×64 Decrementing font size to 19, as size is 185×65 and limit is 212×64 Writing VENNEGOOR of HESSELINK in DIN-Black at 18pt, size is 178×61 and limit is 212×64 So why is Graphics.MeasureCharacterRanges giving me a wrong result? I could understand it being, say, the line height of the font if the loop stopped around 21pt (which would visually fit, if I screenshot the results and measure it in Paint.Net), but it's going far further than it should be doing because, frankly, it's returning the wrong damn results. Any and all help gratefully received. Thanks!

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  • What does Ruby have that Python doesn't, and vice versa?

    - by Lennart Regebro
    There is a lot of discussions of Python vs Ruby, and I all find them completely unhelpful, because they all turn around why feature X sucks in language Y, or that claim language Y doesn't have X, although in fact it does. I also know exactly why I prefer Python, but that's also subjective, and wouldn't help anybody choosing, as they might not have the same tastes in development as I do. It would therefore be interesting to list the differences, objectively. So no "Python's lambdas sucks". Instead explain what Ruby's lambdas can do that Python's can't. No subjectivity. Example code is good! Don't have several differences in one answer, please. And vote up the ones you know are correct, and down those you know are incorrect (or are subjective). Also, differences in syntax is not interesting. We know Python does with indentation what Ruby does with brackets and ends, and that @ is called self in Python. UPDATE: This is now a community wiki, so we can add the big differences here. Ruby has a class reference in the class body In Ruby you have a reference to the class (self) already in the class body. In Python you don't have a reference to the class until after the class construction is finished. An example: class Kaka puts self end self in this case is the class, and this code would print out "Kaka". There is no way to print out the class name or in other ways access the class from the class definition body in Python. All classes are mutable in Ruby This lets you develop extensions to core classes. Here's an example of a rails extension: class String def starts_with?(other) head = self[0, other.length] head == other end end Ruby has Perl-like scripting features Ruby has first class regexps, $-variables, the awk/perl line by line input loop and other features that make it more suited to writing small shell scripts that munge text files or act as glue code for other programs. Ruby has first class continuations Thanks to the callcc statement. In Python you can create continuations by various techniques, but there is no support built in to the language. Ruby has blocks With the "do" statement you can create a multi-line anonymous function in Ruby, which will be passed in as an argument into the method in front of do, and called from there. In Python you would instead do this either by passing a method or with generators. Ruby: amethod { |here| many=lines+of+code goes(here) } Python: def function(here): many=lines+of+code goes(here) amethod(function) Interestingly, the convenience statement in Ruby for calling a block is called "yield", which in Python will create a generator. Ruby: def themethod yield 5 end themethod do |foo| puts foo end Python: def themethod(): yield 5 for foo in themethod: print foo Although the principles are different, the result is strikingly similar. Python has built-in generators (which are used like Ruby blocks, as noted above) Python has support for generators in the language. In Ruby you could use the generator module that uses continuations to create a generator from a block. Or, you could just use a block/proc/lambda! Moreover, in Ruby 1.9 Fibers are, and can be used as, generators. docs.python.org has this generator example: def reverse(data): for index in range(len(data)-1, -1, -1): yield data[index] Contrast this with the above block examples. Python has flexible name space handling In Ruby, when you import a file with require, all the things defined in that file will end up in your global namespace. This causes namespace pollution. The solution to that is Rubys modules. But if you create a namespace with a module, then you have to use that namespace to access the contained classes. In Python, the file is a module, and you can import its contained names with from themodule import *, thereby polluting the namespace if you want. But you can also import just selected names with from themodule import aname, another or you can simply import themodule and then access the names with themodule.aname. If you want more levels in your namespace you can have packages, which are directories with modules and an __init__.py file. Python has docstrings Docstrings are strings that are attached to modules, functions and methods and can be introspected at runtime. This helps for creating such things as the help command and automatic documentation. def frobnicate(bar): """frobnicate takes a bar and frobnicates it >>> bar = Bar() >>> bar.is_frobnicated() False >>> frobnicate(bar) >>> bar.is_frobnicated() True """ Python has more libraries Python has a vast amount of available modules and bindings for libraries. Python has multiple inheritance Ruby does not ("on purpose" -- see Ruby's website, see here how it's done in Ruby). It does reuse the module concept as a sort of abstract classes. Python has list/dict comprehensions Python: res = [x*x for x in range(1, 10)] Ruby: res = (0..9).map { |x| x * x } Python: >>> (x*x for x in range(10)) <generator object <genexpr> at 0xb7c1ccd4> >>> list(_) [0, 1, 4, 9, 16, 25, 36, 49, 64, 81] Ruby: p = proc { |x| x * x } (0..9).map(&p) Python: >>> {x:str(y*y) for x,y in {1:2, 3:4}.items()} {1: '4', 3: '16'} Ruby: >> Hash[{1=>2, 3=>4}.map{|x,y| [x,(y*y).to_s]}] => {1=>"4", 3=>"16"} Python has decorators Things similar to decorators can be created in Ruby, and it can also be argued that they aren't as necessary as in Python.

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  • New MySQL Cluster 7.3 Previews: Foreign Keys, NoSQL Node.js API and Auto-Tuned Clusters

    - by Mat Keep
    At this weeks MySQL Connect conference, Oracle previewed an exciting new wave of developments for MySQL Cluster, further extending its simplicity and flexibility by expanding the range of use-cases, adding new NoSQL options, and automating configuration. What’s new: Development Release 1: MySQL Cluster 7.3 with Foreign Keys Early Access “Labs” Preview: MySQL Cluster NoSQL API for Node.js Early Access “Labs” Preview: MySQL Cluster GUI-Based Auto-Installer In this blog, I'll introduce you to the features being previewed. Review the blogs listed below for more detail on each of the specific features discussed. Save the date!: A live webinar is scheduled for Thursday 25th October at 0900 Pacific Time / 1600UTC where we will discuss each of these enhancements in more detail. Registration will be open soon and published to the MySQL webinars page MySQL Cluster 7.3: Development Release 1 The first MySQL Cluster 7.3 Development Milestone Release (DMR) previews Foreign Keys, bringing powerful new functionality to MySQL Cluster while eliminating development complexity. Foreign Key support has been one of the most requested enhancements to MySQL Cluster – enabling users to simplify their data models and application logic – while extending the range of use-cases for both custom projects requiring referential integrity and packaged applications, such as eCommerce, CRM, CMS, etc. Implementation The Foreign Key functionality is implemented directly within the MySQL Cluster data nodes, allowing any client API accessing the cluster to benefit from them – whether they are SQL or one of the NoSQL interfaces (Memcached, C++, Java, JPA, HTTP/REST or the new Node.js API - discussed later.) The core referential actions defined in the SQL:2003 standard are implemented: CASCADE RESTRICT NO ACTION SET NULL In addition, the MySQL Cluster implementation supports the online adding and dropping of Foreign Keys, ensuring the Cluster continues to serve both read and write requests during the operation.  This represents a further enhancement to MySQL Cluster's support for on0line schema changes, ie adding and dropping indexes, adding columns, etc.  Read this blog for a demonstration of using Foreign Keys with MySQL Cluster.  Getting Started with MySQL Cluster 7.3 DMR1: Users can download either the source or binary and evaluate the MySQL Cluster 7.3 DMR with Foreign Keys now! (Select the Development Release tab). MySQL Cluster NoSQL API for Node.js Node.js is hot! In a little over 3 years, it has become one of the most popular environments for developing next generation web, cloud, mobile and social applications. Bringing JavaScript from the browser to the server, the design goal of Node.js is to build new real-time applications supporting millions of client connections, serviced by a single CPU core. Making it simple to further extend the flexibility and power of Node.js to the database layer, we are previewing the Node.js Javascript API for MySQL Cluster as an Early Access release, available for download now from http://labs.mysql.com/. Select the following build: MySQL-Cluster-NoSQL-Connector-for-Node-js Alternatively, you can clone the project at the MySQL GitHub page.  Implemented as a module for the V8 engine, the new API provides Node.js with a native, asynchronous JavaScript interface that can be used to both query and receive results sets directly from MySQL Cluster, without transformations to SQL. Figure 1: MySQL Cluster NoSQL API for Node.js enables end-to-end JavaScript development Rather than just presenting a simple interface to the database, the Node.js module integrates the MySQL Cluster native API library directly within the web application itself, enabling developers to seamlessly couple their high performance, distributed applications with a high performance, distributed, persistence layer delivering 99.999% availability. The new Node.js API joins a rich array of NoSQL interfaces available for MySQL Cluster. Whichever API is chosen for an application, SQL and NoSQL can be used concurrently across the same data set, providing the ultimate in developer flexibility.  Get started with MySQL Cluster NoSQL API for Node.js tutorial MySQL Cluster GUI-Based Auto-Installer Compatible with both MySQL Cluster 7.2 and 7.3, the Auto-Installer makes it simple for DevOps teams to quickly configure and provision highly optimized MySQL Cluster deployments – whether on-premise or in the cloud. Implemented with a standard HTML GUI and Python-based web server back-end, the Auto-Installer intelligently configures MySQL Cluster based on application requirements and auto-discovered hardware resources Figure 2: Automated Tuning and Configuration of MySQL Cluster Developed by the same engineering team responsible for the MySQL Cluster database, the installer provides standardized configurations that make it simple, quick and easy to build stable and high performance clustered environments. The auto-installer is previewed as an Early Access release, available for download now from http://labs.mysql.com/, by selecting the MySQL-Cluster-Auto-Installer build. You can read more about getting started with the MySQL Cluster auto-installer here. Watch the YouTube video for a demonstration of using the MySQL Cluster auto-installer Getting Started with MySQL Cluster If you are new to MySQL Cluster, the Getting Started guide will walk you through installing an evaluation cluster on a singe host (these guides reflect MySQL Cluster 7.2, but apply equally well to 7.3 and the Early Access previews). Or use the new MySQL Cluster Auto-Installer! Download the Guide to Scaling Web Databases with MySQL Cluster (to learn more about its architecture, design and ideal use-cases). Post any questions to the MySQL Cluster forum where our Engineering team and the MySQL Cluster community will attempt to assist you. Post any bugs you find to the MySQL bug tracking system (select MySQL Cluster from the Category drop-down menu) And if you have any feedback, please post them to the Comments section here or in the blogs referenced in this article. Summary MySQL Cluster 7.2 is the GA, production-ready release of MySQL Cluster. The first Development Release of MySQL Cluster 7.3 and the Early Access previews give you the opportunity to preview and evaluate future developments in the MySQL Cluster database, and we are very excited to be able to share that with you. Let us know how you get along with MySQL Cluster 7.3, and other features that you want to see in future releases, by using the comments of this blog.

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  • New Product: Oracle Java ME Embedded 3.2 – Small, Smart, Connected

    - by terrencebarr
    The Internet of Things (IoT) is coming. And, with todays launch of the Oracle Java ME Embedded 3.2 product, Java is going to play an even greater role in it. Java in the Internet of Things By all accounts, intelligent embedded devices are penetrating the world around us – driving industrial processes, monitoring environmental conditions, providing better health care, analyzing and processing data, and much more. And these devices are becoming increasingly connected, adding another dimension of utility. Welcome to the Internet of Things. As I blogged yesterday, this is a huge opportunity for the Java technology and ecosystem. To enable and utilize these billions of devices effectively you need a programming model, tools, and protocols which provide a feature-rich, consistent, scalable, manageable, and interoperable platform.  Java technology is ideally suited to address these technical and business problems, enabling you eliminate many of the typical challenges in designing embedded solutions. By using Java you can focus on building smarter, more valuable embedded solutions faster. To wit, Java technology is already powering around 10 billion devices worldwide. Delivering on this vision and accelerating the growth of embedded Java solutions, Oracle is today announcing a brand-new product: Oracle Java Micro Edition (ME) Embedded 3.2, accompanied by an update release of the Java ME Software Development Kit (SDK) to version 3.2. What is Oracle Java ME Embedded 3.2? Oracle Java ME Embedded 3.2 is a complete Java runtime client, optimized for ARM architecture connected microcontrollers and other resource-constrained systems. The product provides dedicated embedded functionality and is targeted for low-power, limited memory devices requiring support for a range of network services and I/O interfaces.  What features and APIs are provided by Oracle Java ME Embedded 3.2? Oracle Java ME Embedded 3.2 is a Java ME runtime based on CLDC 1.1 (JSR-139) and IMP-NG (JSR-228). The runtime and virtual machine (VM) are highly optimized for embedded use. Also included in the product are the following optional JSRs and Oracle APIs: File I/O API’s (JSR-75)  Wireless Messaging API’s (JSR-120) Web Services (JSR-172) Security and Trust Services subset (JSR-177) Location API’s (JSR-179) XML API’s (JSR-280)  Device Access API Application Management System (AMS) API AccessPoint API Logging API Additional embedded features are: Remote application management system Support for continuous 24×7 operation Application monitoring, auto-start, and system recovery Application access to peripheral interfaces such as GPIO, I2C, SPIO, memory mapped I/O Application level logging framework, including option for remote logging Headless on-device debugging – source level Java application debugging over IP Connection Remote configuration of the Java VM What type of platforms are targeted by Oracle Java ME 3.2 Embedded? The product is designed for embedded, always-on, resource-constrained, headless (no graphics/no UI), connected (wired or wireless) devices with a variety of peripheral I/O.  The high-level system requirements are as follows: System based on ARM architecture SOCs Memory footprint (approximate) from 130 KB RAM/350KB ROM (for a minimal, customized configuration) to 700 KB RAM/1500 KB ROM (for the full, standard configuration)  Very simple embedded kernel, or a more capable embedded OS/RTOS At least one type of network connection (wired or wireless) The initial release of the product is delivered as a device emulation environment for x86/Windows desktop computers, integrated with the Java ME SDK 3.2. A standard binary of Oracle Java ME Embedded 3.2 for ARM KEIL development boards based on ARM Cortex M-3/4 (KEIL MCBSTM32F200 using ST Micro SOC STM32F207IG) will soon be available for download from the Oracle Technology Network (OTN).  What types of applications can I develop with Oracle Java ME Embedded 3.2? The Oracle Java ME Embedded 3.2 product is a full-featured embedded Java runtime supporting applications based on the IMP-NG application model, which is derived from the well-known MIDP 2 application model. The runtime supports execution of multiple concurrent applications, remote application management, versatile connectivity, and a rich set of APIs and features relevant for embedded use cases, including the ability to interact with peripheral I/O directly from Java applications. This rich feature set, coupled with familiar and best-in class software development tools, allows developers to quickly build and deploy sophisticated embedded solutions for a wide range of use cases. Target markets well supported by Oracle Java ME Embedded 3.2 include wireless modules for M2M, industrial and building control, smart grid infrastructure, home automation, and environmental sensors and tracking. What tools are available for embedded application development for Oracle Java ME Embedded 3.2? Along with the release of Oracle Java ME Embedded 3.2, Oracle is also making available an updated version of the Java ME Software Development Kit (SDK), together with plug-ins for the NetBeans and Eclipse IDEs, to deliver a complete development environment for embedded application development.  OK – sounds great! Where can I find out more? And how do I get started? There is a complete set of information, data sheet, API documentation, “Getting Started Guide”, FAQ, and download links available: For an overview of Oracle Embeddable Java, see here. For the Oracle Java ME Embedded 3.2 press release, see here. For the Oracle Java ME Embedded 3.2 data sheet, see here. For the Oracle Java ME Embedded 3.2 landing page, see here. For the Oracle Java ME Embedded 3.2 documentation page, including a “Getting Started Guide” and FAQ, see here. For the Oracle Java ME SDK 3.2 landing and download page, see here. Finally, to ask more questions, please see the OTN “Java ME Embedded” forum To get started, grab the “Getting Started Guide” and download the Java ME SDK 3.2, which includes the Oracle Java ME Embedded 3.2 device emulation.  Can I learn more about Oracle Java ME Embedded 3.2 at JavaOne and/or Java Embedded @ JavaOne? Glad you asked Both conferences, JavaOne and Java Embedded @ JavaOne, will feature a host of content and information around the new Oracle Java ME Embedded 3.2 product, from technical and business sessions, to hands-on tutorials, and demos. Stay tuned, I will post details shortly. Cheers, – Terrence Filed under: Mobile & Embedded Tagged: "Oracle Java ME Embedded", Connected, embedded, Embedded Java, Java Embedded @ JavaOne, JavaOne, Smart

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  • Control diamond square algorithm to generate islands/pangea.

    - by Gabriel A. Zorrilla
    I generated a height map with the diamond square algorithm. The thing is i do not manage to create islands, this is, restrict the height other than water level range to a certain value in the center of the map. I manualy seeded a circle in the middle of the map but the rest of the map still receives heights over the water level. I dont fully understand the Perlin noise algorithm so i'd like to work with my current implementation of the diamond square algorithm which took me 3 days to interpret and code in PHP. :P

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  • Microsoft Press Weekend Deal 26/May/2012 - Microsoft® Manual of Style, 4th Edition

    - by TATWORTH
    At http://shop.oreilly.com/product/0790145305770.do?code=MSDEAL, Microsoft Press are offering the Microsoft® Manual of Style, 4th Edition as a PDF for 50% off using the MSDEAL code."Maximize the impact and precision of your message! Now in its fourth edition, the Microsoft Manual of Style provides essential guidance to content creators, journalists, technical writers, editors, and everyone else who writes about computer technology. Direct from the Editorial Style Board at Microsoft—you get a comprehensive glossary of both general technology terms and those specific to Microsoft; clear, concise usage and style guidelines with helpful examples and alternatives; guidance on grammar, tone, and voice; and best practices for writing content for the web, optimizing for accessibility, and communicating to a worldwide audience. Fully updated and optimized for ease of use, the Microsoft Manual of Style is designed to help you communicate clearly, consistently, and accurately about technical topics—across a range of audiences and media." There is a sample chapter for free download at the above link

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  • Connecting to Microsoft Excel using Oracle Data Integrator

    - by julien.testut
    The posts in this series assume that you have some level of familiarity with ODI. The concepts of Topology, Data Server, Physical and Logical Architecture are used here assuming that you understand them in the context of ODI. If you need more details on these elements, please refer to the ODI Tutorial for a quick introduction, or to the complete ODI documentation for more details. In this post I will describe how a Microsoft Excel spreadsheet can be used in Oracle Data Integrator. Microsoft Excel is one of the many different technologies you can leverage in ODI as a source or as a target. Prepare your Excel spreadsheet Prior to using a Microsoft Excel spreadsheet in ODI we need to specify a name for the different cell tables we want to use. You can have multiple names in the same spreadsheet. First open up a Microsoft Excel spreadsheet, we will need to define a named range.

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  • Nerdstock 2012: A photo review of Microsoft TechEd North America 2012

    - by The Un-T Guy
    Not only could I not fathom that I would ever be attending a tech event of the magnitude of TechEd, neither could any of my co-workers.  As the least technical person in the history of Information Technology ever, I felt as though I were walking into the belly of the beast, fearing I’d not be allowed out until I could write SSIS packages, program in Visual Basic, or at least arm wrestle a DBA.  Most of my fears were unrealized.   But I made it.  I was here.  I even got to wear the Mark of the Geek neck package with schedule, eyeglass cleaners, name badge (company name obfuscated so they don’t fire me), and a pen.  The name  badge was seemingly the key element, as every vendor in the place wanted to scan it to capture name, email address, and numbers to show their bosses back home.  It also let me eat the food and drink the coffee so that’s a fair trade.   A recurring theme throughout the presentations and vendor demos was “the Cloud” and BYOD (bring your own device).  The below was a common site throughout the week, as attendees from all over the world brought their own devices and were able to (seemingly) seamlessly connect to the Worldwide Innerwebs.  Apparently proof that Microsoft and the event organizers were practicing what they were preaching.   “Cavernous” is one way to describe the downstairs facility itself.  “Freaking cavernous” might be more accurate.  Work sessions were held in classrooms on the second and third floors but the real action was happening downstairs.  Microsoft bookstore, blogger hub (shoutout to Geekswithblogs.net), The Wall (sans Pink Floyd, sadly), couches, recharging stations…   …a game zone with pool and air hockey tables, pinball machines, foosball…   …vintage video games…           …and a even giant chess board.  Looked like this guy was opening with the Kaspersky parry.   The blend of technology and fantasy even went so far as to bring childhood favorites to life.  Assuming, of course, your childhood was pre-video games (like mine) and you were stuck with electric football and Rock ‘em Sock ‘em robots:   And, lest the “combatants” become unruly or – God forbid – afternoon snacks were late, Orange County’s finest was on the scene to keep the peace.  On a high-tech mode of transport, of course.   She wasn’t the only one to think this was a swell way to transition from one concourse to the next.  Given the level of support provided by the entire Orange County Convention Center staff, I knew they had to have some secret.   Here’s one entrance to the vendor zone/”Technical Learning Center.”  Couldn’t help but think of them as the remora attached to the Whale Shark that is Microsoft…   …or perhaps planets orbiting the sun. Microsoft is just that huge and it seemed like every vendor in the industry looks forward to partnering with the tech behemoth.   Aside from the free stuff from the vendors, probably the most popular place in the house was the dining area.  Amazing spreads every day, multiple times a day.  While no attendance numbers were available at press time, literally thousands of attendees were fed, and fed well, every day.  And lest you think my post from earlier in the week exaggerated about the backpacks…   …or that I’m exaggerating about the lunch crowds.  This represents only about between 25-30% of the lunch crowd – it was all my camera could capture at once.  No one went away hungry.   The only thing missing was a a vat of Red Bull but apparently organizers went old school, with probably 100 urns of the original energy drink – coffee – all around the venue.   Of course, following lunch and afternoon sessions, some preferred the even older school method of re-energizing.  There were rumors that Microsoft was serving graham crackers and milk in this area.  But they were only rumors.   Cannot overstate the wonderful service provided by the Orange County Convention Center staff.  Coffee, soft drinks, juice, and water were available always.  Buffet meals were delicious with a wide range of healthy options available, in addition to hundreds (at least) special meal requests supported every day.  Ever tried to keep up with an estimated 9,000 hungry and thirsty IT-ers?  These folks did.  Kudos to all of the staff and many thanks!   And while I occasionally poke fun at the Whale Shark, if nothing else this experience convinced me of one thing:  Microsoft knows how to put on a professional event.  Hundreds of informative, professionally delivered sessions, covering a wide range of topics set at varying levels of expertise (some that even I was able to follow), social activities, vendor partnerships…they brought everything you could ask for to inform, educate, and inspire an entire IT industry.   So as I depart the belly of the beast, I can both take pride in the fact that I survived the week and marvel at the brilliance surrounding me.  The IT industry – or at least the segment associated with Microsoft – is in good, professional hands.  And what won’t fit in their hands can be toted in the Microsoft provided backpacks.  Win-win.   Until New Orleans…

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  • China’s Better Life Selects Oracle® Retail to Support Hypermarket Growth

    - by user801960
    On Monday, China’s first multi-format retailer, Better Life Commercial Chain Share Co. announced that it has selected a broad selection of Oracle solutions including specific Oracle Retail applications to support the growth of its hypermarket operations. Better Life currently operates 186 hypermarkets, department stores, consumer electronics stores, as well as entertainment and real estate operations across Southern China. The company’s expansion strategy for its hypermarket business is integral to its overall plan for rapid growth in an increasingly competitive market and after evaluating Oracle and SAP, Better Life identified a range of Oracle solutions including components of Oracle Retail Merchandising Operations Management, Oracle Retail Merchandise Planning and Optimization, and Oracle Retail In-Store Operations as key enablers to optimizing its operations. The Oracle Retail offering will help Better Life to create a consolidated view of product, price, inventory and associated back office information that facilitates improved fulfilment of customer demand.  These solutions will also provide a better understanding of inventory from buying through store transactions, delivering actionable insight with which it can make smarter, more profitable decisions around planning, forecasting and replenishment. You can read the full blog post here: http://www.oracle.com/us/corporate/press/1680357

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  • Windows Workflow Foundation in .NET4

    Windows Workflow Foundation (WF4) in .NET 4 is designed to make it easier for new developers to learn, addresses a wider range of customer scenarios, and is more efficient.  WF is a programming model for composing application logic and coordinating execution, allowing developers to abstract complicated code while leveraging a set of runtime services.  Activities are the building blocks that are composed together to build workflows.  The runtime provides the ability to save the state...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Random Between: using random with the instance_create function in GML

    - by CLockeWork
    Hopefully this should be a simple one; I want to restrict the points that instances enter the screen from so they don't come in at the edges. In Game Maker I'm using the following code instance_create(random(room_width), random(-100) - 50, obj_enemy1); to create the instance off screen (create(x, y, ...)) At the moment I'm just using the room_width to define the max width for the random on x, but ideally I want to find a way of defining a max AND min width for the random. I can't figure out how to restrict the range on the x axis to between say 100 and 350. Any help would be appreciated. Cheers

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  • Tom Kyte Webcast on Oracle Maximum Availability Architecture Best Practices - Thursday, April 12 @ 10:00 AM PDT

    - by jgelhaus
    Date: Thursday, April 12, 2012 Time: 10:00 AM PDT Update Your Knowledge with Oracle Expert Tom Kyte Data is one of the most critical assets of any organization with many operations depending on having complete and accurate data available 24/7. By implementing Oracle’s Maximum Availability Architecture (MAA), organizations can minimize the cost and risk associated with downtime. Oracle’s MAA best practices extend beyond Oracle Database to span a broad range of products, including Oracle Exadata and Oracle Database Appliance. Join Oracle expert Tom Kyte for this Live Webcast to learn how to: Protect your systems from planned and unplanned downtime Achieve the highest quality of service at the lowest cost Eliminate idle redundancy in the data center Register today and ask Tom your questions around availability best practices.

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  • What You Said: What’s Powering Your Media Center

    - by Jason Fitzpatrick
    Earlier this week we asked you to share your media center setups, tips, and tricks. Now we’re back to share of the great comments you left. The range of techniques you all use for getting access to your media is impressive. Some readers had setups as simple as tamasksz’s setup: WDTV Live with an external HDD… So simple, but works. Others started with simple setups, like a WDTV Live, and worked their way up, like Dave: How to Own Your Own Website (Even If You Can’t Build One) Pt 1 What’s the Difference Between Sleep and Hibernate in Windows? Screenshot Tour: XBMC 11 Eden Rocks Improved iOS Support, AirPlay, and Even a Custom XBMC OS

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  • SQLAuthority News – Download Whitepaper Using SharePoint List Data in PowerPivot

    - by pinaldave
    One of the many features of Microsoft SQL Server PowerPivot is the range of data sources that can be used to import data. Anything, from Microsoft SQL Server relational databases, Oracle databases, and Microsoft Access databases, to text documents, can be used as data sources in PowerPivot. In this paper, I explain one of the new and upcoming data sources that people are excited about – SharePoint list data in the form of Atom feeds. This white paper goes on to explain the different ways you can import SharePoint list data into PowerPivot, what types of lists are supported, various components that need to be installed to use this feature, and where to get those components. Download and read this whitepaper. Note: Abstract is taken from MSDN Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, SQLAuthority News, T SQL, Technology

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  • Google I/O 2011: 3D Graphics on Android: Lessons learned from Google Body

    Google I/O 2011: 3D Graphics on Android: Lessons learned from Google Body Nico Weber Google originally built Google Body, a 3D application that renders the human body in incredible detail, for WebGL-capable browsers running on high-end bPCs. To bring the app to Android at a high resolution and frame rate, Nico Weber and Won Chun had a close encounter with Android's graphics stack. In this session Nico will present their findings as best practices for high-end 3D graphics using OpenGL ES 2.0 on Android. The covered topics range from getting accelerated pixels on the screen to fast resource loading, performance guidelines, texture compression, mipmapping, recommended vertex attribute formats, and shader handling. The talk also touches on related topics such as SDK vs NDK, picking, and resource loading. From: GoogleDevelopers Views: 6077 29 ratings Time: 56:09 More in Science & Technology

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  • Umbraco Gold Partner and the last 6 months.

    - by Vizioz Limited
    As with a lot of blogs, unfortunately over the last 6 months our blog has been feeling some what neglected, the good news, is this has been due to us going from strength to strength :)In the last 6 months we have developed 5 more Microsites for Microsoft, we have helped a London agency fix a dire Umbraco implementation for a global drinks brand, built a great site for a famous food product range and most recently we are working with DairyMaster in Ireland building them a new website for their global distribution network and over the next couple of months we will be launching their new global marketing websites in 9 different languages.As well as working with these great clients, we also helped ResourceiT launch their new website in time for the Microsoft Global Partners conference.In December, Umbraco HQ launched their Umbraco Gold Partner programme, Vizioz was proud to be one of the first Gold Partners in the UK, showing our clients that we are investing our money in the product we promote, ensuring that Umbraco continues to go from strength to strength.

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  • Welcoming Gavin Payne to Coeo

    - by Christian
    I’m very pleased to announce that Gavin Payne starts with us today as a Senior Consultant! We’ve known Gavin for a while now through his work in the UK SQL Server Community and when a role came up in our consulting practice I took the opportunity to talk to him about it. Gavin brings a broad range of experience from his recent background as a Solution Architect and has a particular interest in virtualization which is very prominent in the work that we do so we’re thrilled to have him on board. He’s also presenting a couple of sessions at the upcoming SQLBits conference in Brighton where Coeo is once again sponsoring and exhibiting so be sure to congratulate him in person if you’re going to be there! Gavin has a prolific online presence so be sure to subscribe to his blog and follow him on twitter! Blog: http://blog.gavinpayneuk.com/ Twitter: http://twitter.com/gavinpayneuk SQLBits: http://sqlbits.com/Speakers/Gavin_Payne   Welcome Gavin! Christian Bolton  - MCA, MCM, MVP Technical Director http://coeo.com - SQL Server Consulting & Managed Services

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  • Which SSL do I need?

    - by Maik Klein
    I need to buy a ssl certificate. Now there are so many different alternatives with a huge price range. I know the very basic differences of browser compatibility and security level. But I need a "cheap" ssl certificate. My homepage looks like this http://www.test.com Now if I go to the loginpage i should switch to https like this https:/www.test.com/login I am also considering to secure the whole site if the user has singed in. Now there are sites which are offering SSl for 7$/year. Would this do the job? Or would you recommend me to get something more expensive like this one? I want to add paypal support in a later version of my website and I don't want to save money on the wrong end. What would you recommend me?

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  • Understanding G1 GC Logs

    - by poonam
    The purpose of this post is to explain the meaning of GC logs generated with some tracing and diagnostic options for G1 GC. We will take a look at the output generated with PrintGCDetails which is a product flag and provides the most detailed level of information. Along with that, we will also look at the output of two diagnostic flags that get enabled with -XX:+UnlockDiagnosticVMOptions option - G1PrintRegionLivenessInfo that prints the occupancy and the amount of space used by live objects in each region at the end of the marking cycle and G1PrintHeapRegions that provides detailed information on the heap regions being allocated and reclaimed. We will be looking at the logs generated with JDK 1.7.0_04 using these options. Option -XX:+PrintGCDetails Here's a sample log of G1 collection generated with PrintGCDetails. 0.522: [GC pause (young), 0.15877971 secs] [Parallel Time: 157.1 ms] [GC Worker Start (ms): 522.1 522.2 522.2 522.2 Avg: 522.2, Min: 522.1, Max: 522.2, Diff: 0.1] [Ext Root Scanning (ms): 1.6 1.5 1.6 1.9 Avg: 1.7, Min: 1.5, Max: 1.9, Diff: 0.4] [Update RS (ms): 38.7 38.8 50.6 37.3 Avg: 41.3, Min: 37.3, Max: 50.6, Diff: 13.3] [Processed Buffers : 2 2 3 2 Sum: 9, Avg: 2, Min: 2, Max: 3, Diff: 1] [Scan RS (ms): 9.9 9.7 0.0 9.7 Avg: 7.3, Min: 0.0, Max: 9.9, Diff: 9.9] [Object Copy (ms): 106.7 106.8 104.6 107.9 Avg: 106.5, Min: 104.6, Max: 107.9, Diff: 3.3] [Termination (ms): 0.0 0.0 0.0 0.0 Avg: 0.0, Min: 0.0, Max: 0.0, Diff: 0.0] [Termination Attempts : 1 4 4 6 Sum: 15, Avg: 3, Min: 1, Max: 6, Diff: 5] [GC Worker End (ms): 679.1 679.1 679.1 679.1 Avg: 679.1, Min: 679.1, Max: 679.1, Diff: 0.1] [GC Worker (ms): 156.9 157.0 156.9 156.9 Avg: 156.9, Min: 156.9, Max: 157.0, Diff: 0.1] [GC Worker Other (ms): 0.3 0.3 0.3 0.3 Avg: 0.3, Min: 0.3, Max: 0.3, Diff: 0.0] [Clear CT: 0.1 ms] [Other: 1.5 ms] [Choose CSet: 0.0 ms] [Ref Proc: 0.3 ms] [Ref Enq: 0.0 ms] [Free CSet: 0.3 ms] [Eden: 12M(12M)->0B(10M) Survivors: 0B->2048K Heap: 13M(64M)->9739K(64M)] [Times: user=0.59 sys=0.02, real=0.16 secs] This is the typical log of an Evacuation Pause (G1 collection) in which live objects are copied from one set of regions (young OR young+old) to another set. It is a stop-the-world activity and all the application threads are stopped at a safepoint during this time. This pause is made up of several sub-tasks indicated by the indentation in the log entries. Here's is the top most line that gets printed for the Evacuation Pause. 0.522: [GC pause (young), 0.15877971 secs] This is the highest level information telling us that it is an Evacuation Pause that started at 0.522 secs from the start of the process, in which all the regions being evacuated are Young i.e. Eden and Survivor regions. This collection took 0.15877971 secs to finish. Evacuation Pauses can be mixed as well. In which case the set of regions selected include all of the young regions as well as some old regions. 1.730: [GC pause (mixed), 0.32714353 secs] Let's take a look at all the sub-tasks performed in this Evacuation Pause. [Parallel Time: 157.1 ms] Parallel Time is the total elapsed time spent by all the parallel GC worker threads. The following lines correspond to the parallel tasks performed by these worker threads in this total parallel time, which in this case is 157.1 ms. [GC Worker Start (ms): 522.1 522.2 522.2 522.2Avg: 522.2, Min: 522.1, Max: 522.2, Diff: 0.1] The first line tells us the start time of each of the worker thread in milliseconds. The start times are ordered with respect to the worker thread ids – thread 0 started at 522.1ms and thread 1 started at 522.2ms from the start of the process. The second line tells the Avg, Min, Max and Diff of the start times of all of the worker threads. [Ext Root Scanning (ms): 1.6 1.5 1.6 1.9 Avg: 1.7, Min: 1.5, Max: 1.9, Diff: 0.4] This gives us the time spent by each worker thread scanning the roots (globals, registers, thread stacks and VM data structures). Here, thread 0 took 1.6ms to perform the root scanning task and thread 1 took 1.5 ms. The second line clearly shows the Avg, Min, Max and Diff of the times spent by all the worker threads. [Update RS (ms): 38.7 38.8 50.6 37.3 Avg: 41.3, Min: 37.3, Max: 50.6, Diff: 13.3] Update RS gives us the time each thread spent in updating the Remembered Sets. Remembered Sets are the data structures that keep track of the references that point into a heap region. Mutator threads keep changing the object graph and thus the references that point into a particular region. We keep track of these changes in buffers called Update Buffers. The Update RS sub-task processes the update buffers that were not able to be processed concurrently, and updates the corresponding remembered sets of all regions. [Processed Buffers : 2 2 3 2Sum: 9, Avg: 2, Min: 2, Max: 3, Diff: 1] This tells us the number of Update Buffers (mentioned above) processed by each worker thread. [Scan RS (ms): 9.9 9.7 0.0 9.7 Avg: 7.3, Min: 0.0, Max: 9.9, Diff: 9.9] These are the times each worker thread had spent in scanning the Remembered Sets. Remembered Set of a region contains cards that correspond to the references pointing into that region. This phase scans those cards looking for the references pointing into all the regions of the collection set. [Object Copy (ms): 106.7 106.8 104.6 107.9 Avg: 106.5, Min: 104.6, Max: 107.9, Diff: 3.3] These are the times spent by each worker thread copying live objects from the regions in the Collection Set to the other regions. [Termination (ms): 0.0 0.0 0.0 0.0 Avg: 0.0, Min: 0.0, Max: 0.0, Diff: 0.0] Termination time is the time spent by the worker thread offering to terminate. But before terminating, it checks the work queues of other threads and if there are still object references in other work queues, it tries to steal object references, and if it succeeds in stealing a reference, it processes that and offers to terminate again. [Termination Attempts : 1 4 4 6 Sum: 15, Avg: 3, Min: 1, Max: 6, Diff: 5] This gives the number of times each thread has offered to terminate. [GC Worker End (ms): 679.1 679.1 679.1 679.1 Avg: 679.1, Min: 679.1, Max: 679.1, Diff: 0.1] These are the times in milliseconds at which each worker thread stopped. [GC Worker (ms): 156.9 157.0 156.9 156.9 Avg: 156.9, Min: 156.9, Max: 157.0, Diff: 0.1] These are the total lifetimes of each worker thread. [GC Worker Other (ms): 0.3 0.3 0.3 0.3Avg: 0.3, Min: 0.3, Max: 0.3, Diff: 0.0] These are the times that each worker thread spent in performing some other tasks that we have not accounted above for the total Parallel Time. [Clear CT: 0.1 ms] This is the time spent in clearing the Card Table. This task is performed in serial mode. [Other: 1.5 ms] Time spent in the some other tasks listed below. The following sub-tasks (which individually may be parallelized) are performed serially. [Choose CSet: 0.0 ms] Time spent in selecting the regions for the Collection Set. [Ref Proc: 0.3 ms] Total time spent in processing Reference objects. [Ref Enq: 0.0 ms] Time spent in enqueuing references to the ReferenceQueues. [Free CSet: 0.3 ms] Time spent in freeing the collection set data structure. [Eden: 12M(12M)->0B(13M) Survivors: 0B->2048K Heap: 14M(64M)->9739K(64M)] This line gives the details on the heap size changes with the Evacuation Pause. This shows that Eden had the occupancy of 12M and its capacity was also 12M before the collection. After the collection, its occupancy got reduced to 0 since everything is evacuated/promoted from Eden during a collection, and its target size grew to 13M. The new Eden capacity of 13M is not reserved at this point. This value is the target size of the Eden. Regions are added to Eden as the demand is made and when the added regions reach to the target size, we start the next collection. Similarly, Survivors had the occupancy of 0 bytes and it grew to 2048K after the collection. The total heap occupancy and capacity was 14M and 64M receptively before the collection and it became 9739K and 64M after the collection. Apart from the evacuation pauses, G1 also performs concurrent-marking to build the live data information of regions. 1.416: [GC pause (young) (initial-mark), 0.62417980 secs] ….... 2.042: [GC concurrent-root-region-scan-start] 2.067: [GC concurrent-root-region-scan-end, 0.0251507] 2.068: [GC concurrent-mark-start] 3.198: [GC concurrent-mark-reset-for-overflow] 4.053: [GC concurrent-mark-end, 1.9849672 sec] 4.055: [GC remark 4.055: [GC ref-proc, 0.0000254 secs], 0.0030184 secs] [Times: user=0.00 sys=0.00, real=0.00 secs] 4.088: [GC cleanup 117M->106M(138M), 0.0015198 secs] [Times: user=0.00 sys=0.00, real=0.00 secs] 4.090: [GC concurrent-cleanup-start] 4.091: [GC concurrent-cleanup-end, 0.0002721] The first phase of a marking cycle is Initial Marking where all the objects directly reachable from the roots are marked and this phase is piggy-backed on a fully young Evacuation Pause. 2.042: [GC concurrent-root-region-scan-start] This marks the start of a concurrent phase that scans the set of root-regions which are directly reachable from the survivors of the initial marking phase. 2.067: [GC concurrent-root-region-scan-end, 0.0251507] End of the concurrent root region scan phase and it lasted for 0.0251507 seconds. 2.068: [GC concurrent-mark-start] Start of the concurrent marking at 2.068 secs from the start of the process. 3.198: [GC concurrent-mark-reset-for-overflow] This indicates that the global marking stack had became full and there was an overflow of the stack. Concurrent marking detected this overflow and had to reset the data structures to start the marking again. 4.053: [GC concurrent-mark-end, 1.9849672 sec] End of the concurrent marking phase and it lasted for 1.9849672 seconds. 4.055: [GC remark 4.055: [GC ref-proc, 0.0000254 secs], 0.0030184 secs] This corresponds to the remark phase which is a stop-the-world phase. It completes the left over marking work (SATB buffers processing) from the previous phase. In this case, this phase took 0.0030184 secs and out of which 0.0000254 secs were spent on Reference processing. 4.088: [GC cleanup 117M->106M(138M), 0.0015198 secs] Cleanup phase which is again a stop-the-world phase. It goes through the marking information of all the regions, computes the live data information of each region, resets the marking data structures and sorts the regions according to their gc-efficiency. In this example, the total heap size is 138M and after the live data counting it was found that the total live data size dropped down from 117M to 106M. 4.090: [GC concurrent-cleanup-start] This concurrent cleanup phase frees up the regions that were found to be empty (didn't contain any live data) during the previous stop-the-world phase. 4.091: [GC concurrent-cleanup-end, 0.0002721] Concurrent cleanup phase took 0.0002721 secs to free up the empty regions. Option -XX:G1PrintRegionLivenessInfo Now, let's look at the output generated with the flag G1PrintRegionLivenessInfo. This is a diagnostic option and gets enabled with -XX:+UnlockDiagnosticVMOptions. G1PrintRegionLivenessInfo prints the live data information of each region during the Cleanup phase of the concurrent-marking cycle. 26.896: [GC cleanup ### PHASE Post-Marking @ 26.896### HEAP committed: 0x02e00000-0x0fe00000 reserved: 0x02e00000-0x12e00000 region-size: 1048576 Cleanup phase of the concurrent-marking cycle started at 26.896 secs from the start of the process and this live data information is being printed after the marking phase. Committed G1 heap ranges from 0x02e00000 to 0x0fe00000 and the total G1 heap reserved by JVM is from 0x02e00000 to 0x12e00000. Each region in the G1 heap is of size 1048576 bytes. ### type address-range used prev-live next-live gc-eff### (bytes) (bytes) (bytes) (bytes/ms) This is the header of the output that tells us about the type of the region, address-range of the region, used space in the region, live bytes in the region with respect to the previous marking cycle, live bytes in the region with respect to the current marking cycle and the GC efficiency of that region. ### FREE 0x02e00000-0x02f00000 0 0 0 0.0 This is a Free region. ### OLD 0x02f00000-0x03000000 1048576 1038592 1038592 0.0 Old region with address-range from 0x02f00000 to 0x03000000. Total used space in the region is 1048576 bytes, live bytes as per the previous marking cycle are 1038592 and live bytes with respect to the current marking cycle are also 1038592. The GC efficiency has been computed as 0. ### EDEN 0x03400000-0x03500000 20992 20992 20992 0.0 This is an Eden region. ### HUMS 0x0ae00000-0x0af00000 1048576 1048576 1048576 0.0### HUMC 0x0af00000-0x0b000000 1048576 1048576 1048576 0.0### HUMC 0x0b000000-0x0b100000 1048576 1048576 1048576 0.0### HUMC 0x0b100000-0x0b200000 1048576 1048576 1048576 0.0### HUMC 0x0b200000-0x0b300000 1048576 1048576 1048576 0.0### HUMC 0x0b300000-0x0b400000 1048576 1048576 1048576 0.0### HUMC 0x0b400000-0x0b500000 1001480 1001480 1001480 0.0 These are the continuous set of regions called Humongous regions for storing a large object. HUMS (Humongous starts) marks the start of the set of humongous regions and HUMC (Humongous continues) tags the subsequent regions of the humongous regions set. ### SURV 0x09300000-0x09400000 16384 16384 16384 0.0 This is a Survivor region. ### SUMMARY capacity: 208.00 MB used: 150.16 MB / 72.19 % prev-live: 149.78 MB / 72.01 % next-live: 142.82 MB / 68.66 % At the end, a summary is printed listing the capacity, the used space and the change in the liveness after the completion of concurrent marking. In this case, G1 heap capacity is 208MB, total used space is 150.16MB which is 72.19% of the total heap size, live data in the previous marking was 149.78MB which was 72.01% of the total heap size and the live data as per the current marking is 142.82MB which is 68.66% of the total heap size. Option -XX:+G1PrintHeapRegions G1PrintHeapRegions option logs the regions related events when regions are committed, allocated into or are reclaimed. COMMIT/UNCOMMIT events G1HR COMMIT [0x6e900000,0x6ea00000]G1HR COMMIT [0x6ea00000,0x6eb00000] Here, the heap is being initialized or expanded and the region (with bottom: 0x6eb00000 and end: 0x6ec00000) is being freshly committed. COMMIT events are always generated in order i.e. the next COMMIT event will always be for the uncommitted region with the lowest address. G1HR UNCOMMIT [0x72700000,0x72800000]G1HR UNCOMMIT [0x72600000,0x72700000] Opposite to COMMIT. The heap got shrunk at the end of a Full GC and the regions are being uncommitted. Like COMMIT, UNCOMMIT events are also generated in order i.e. the next UNCOMMIT event will always be for the committed region with the highest address. GC Cycle events G1HR #StartGC 7G1HR CSET 0x6e900000G1HR REUSE 0x70500000G1HR ALLOC(Old) 0x6f800000G1HR RETIRE 0x6f800000 0x6f821b20G1HR #EndGC 7 This shows start and end of an Evacuation pause. This event is followed by a GC counter tracking both evacuation pauses and Full GCs. Here, this is the 7th GC since the start of the process. G1HR #StartFullGC 17G1HR UNCOMMIT [0x6ed00000,0x6ee00000]G1HR POST-COMPACTION(Old) 0x6e800000 0x6e854f58G1HR #EndFullGC 17 Shows start and end of a Full GC. This event is also followed by the same GC counter as above. This is the 17th GC since the start of the process. ALLOC events G1HR ALLOC(Eden) 0x6e800000 The region with bottom 0x6e800000 just started being used for allocation. In this case it is an Eden region and allocated into by a mutator thread. G1HR ALLOC(StartsH) 0x6ec00000 0x6ed00000G1HR ALLOC(ContinuesH) 0x6ed00000 0x6e000000 Regions being used for the allocation of Humongous object. The object spans over two regions. G1HR ALLOC(SingleH) 0x6f900000 0x6f9eb010 Single region being used for the allocation of Humongous object. G1HR COMMIT [0x6ee00000,0x6ef00000]G1HR COMMIT [0x6ef00000,0x6f000000]G1HR COMMIT [0x6f000000,0x6f100000]G1HR COMMIT [0x6f100000,0x6f200000]G1HR ALLOC(StartsH) 0x6ee00000 0x6ef00000G1HR ALLOC(ContinuesH) 0x6ef00000 0x6f000000G1HR ALLOC(ContinuesH) 0x6f000000 0x6f100000G1HR ALLOC(ContinuesH) 0x6f100000 0x6f102010 Here, Humongous object allocation request could not be satisfied by the free committed regions that existed in the heap, so the heap needed to be expanded. Thus new regions are committed and then allocated into for the Humongous object. G1HR ALLOC(Old) 0x6f800000 Old region started being used for allocation during GC. G1HR ALLOC(Survivor) 0x6fa00000 Region being used for copying old objects into during a GC. Note that Eden and Humongous ALLOC events are generated outside the GC boundaries and Old and Survivor ALLOC events are generated inside the GC boundaries. Other Events G1HR RETIRE 0x6e800000 0x6e87bd98 Retire and stop using the region having bottom 0x6e800000 and top 0x6e87bd98 for allocation. Note that most regions are full when they are retired and we omit those events to reduce the output volume. A region is retired when another region of the same type is allocated or we reach the start or end of a GC(depending on the region). So for Eden regions: For example: 1. ALLOC(Eden) Foo2. ALLOC(Eden) Bar3. StartGC At point 2, Foo has just been retired and it was full. At point 3, Bar was retired and it was full. If they were not full when they were retired, we will have a RETIRE event: 1. ALLOC(Eden) Foo2. RETIRE Foo top3. ALLOC(Eden) Bar4. StartGC G1HR CSET 0x6e900000 Region (bottom: 0x6e900000) is selected for the Collection Set. The region might have been selected for the collection set earlier (i.e. when it was allocated). However, we generate the CSET events for all regions in the CSet at the start of a GC to make sure there's no confusion about which regions are part of the CSet. G1HR POST-COMPACTION(Old) 0x6e800000 0x6e839858 POST-COMPACTION event is generated for each non-empty region in the heap after a full compaction. A full compaction moves objects around, so we don't know what the resulting shape of the heap is (which regions were written to, which were emptied, etc.). To deal with this, we generate a POST-COMPACTION event for each non-empty region with its type (old/humongous) and the heap boundaries. At this point we should only have Old and Humongous regions, as we have collapsed the young generation, so we should not have eden and survivors. POST-COMPACTION events are generated within the Full GC boundary. G1HR CLEANUP 0x6f400000G1HR CLEANUP 0x6f300000G1HR CLEANUP 0x6f200000 These regions were found empty after remark phase of Concurrent Marking and are reclaimed shortly afterwards. G1HR #StartGC 5G1HR CSET 0x6f400000G1HR CSET 0x6e900000G1HR REUSE 0x6f800000 At the end of a GC we retire the old region we are allocating into. Given that its not full, we will carry on allocating into it during the next GC. This is what REUSE means. In the above case 0x6f800000 should have been the last region with an ALLOC(Old) event during the previous GC and should have been retired before the end of the previous GC. G1HR ALLOC-FORCE(Eden) 0x6f800000 A specialization of ALLOC which indicates that we have reached the max desired number of the particular region type (in this case: Eden), but we decided to allocate one more. Currently it's only used for Eden regions when we extend the young generation because we cannot do a GC as the GC-Locker is active. G1HR EVAC-FAILURE 0x6f800000 During a GC, we have failed to evacuate an object from the given region as the heap is full and there is no space left to copy the object. This event is generated within GC boundaries and exactly once for each region from which we failed to evacuate objects. When Heap Regions are reclaimed ? It is also worth mentioning when the heap regions in the G1 heap are reclaimed. All regions that are in the CSet (the ones that appear in CSET events) are reclaimed at the end of a GC. The exception to that are regions with EVAC-FAILURE events. All regions with CLEANUP events are reclaimed. After a Full GC some regions get reclaimed (the ones from which we moved the objects out). But that is not shown explicitly, instead the non-empty regions that are left in the heap are printed out with the POST-COMPACTION events.

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  • July 17th Live Webcast with Oracle's Tom Kyte

    - by jgelhaus
    Webcast: Oracle Maximum Availability Architecture Best Practices Date: Tuesday, July 17, 2012 Time: 10 a.m. PT/1 p.m. ET Update Your Knowledge with Oracle Expert Tom Kyte With Oracle’s Maximum Availability Architecture (MAA), organizations can minimize the cost and risk associated with downtime. Oracle’s MAA best practices extend beyond Oracle Database to span a broad range of products, including Oracle Exadata and Oracle Database Appliance. Join Oracle expert Tom Kyte for this interactive Webcast to learn how to: Protect your systems from planned and unplanned downtime Achieve the highest quality of service at the lowest cost Eliminate idle redundancy in the data center Register today and ask Tom your questions around availability best practices.

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  • 24 DIY Softbox Designs for Cheap and Flexible Photography Lighting [DIY]

    - by Jason Fitzpatrick
    If you’re looking for just the right softbox for your budget and photography needs this collection of 24 great softbox designs is bound to have the perfect fit. At DIY Photography they hosted a DIY softbox contest. Out of the 70 entries they culled it down to the top 24 designs and rounded up the photo tours and build guides for you to browse. You can build the foamcore and CFL model seen in the photo above by following the build guide here. Hit up the link below to check out all the other designs that range from full body softboxes to on-camera softboxes. How To Build 24 DIY Softboxes [DIY Photography via Make] HTG Explains: Photography with Film-Based CamerasHow to Clean Your Dirty Smartphone (Without Breaking Something)What is a Histogram, and How Can I Use it to Improve My Photos?

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  • exclamation mark for sitemaps in webmastertools when resubmited

    - by Jayapal Chandran
    Hi, I have three sitemaps submitted to webmastertools. In that one has very few links and was accepted. It showed a green tick. The other two had around 150 links. They had been accepted in think yet webmastertools displays the exclamation mark. I think i saw this already but what confused was my hosting was blocking frequent bots recently by using a firewall and just now they added googles ip range in their witelist. and then my robots and sitemaps were read by webmastertools. But two sitemaps shows exclamation. I hope it is nothing to do with the above problem. What are all the reasons and where can i see the reason for that exclamation mark.? Here is the screen shot.

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  • How to set selinux?

    - by Enrique Videni
    I installed selinux first, I set SELINUX=enforcing instead of its original value, SELINUX=permissive in /etc/selinux/config, then I reboot my computer. I waited for some time, but it stopped, I rebooted again and it can not go into the system anymore so I restored the setting. I tried to run seinfo command in a terminal, but it output some errors below: ERROR: policydb version 26 does not match my version range 15-24 ERROR: Unable to open policy /etc/selinux/ubuntu/policy/policy.26. ERROR: Input/output error It seems that there is a little difference on how to start up selinux between CentOS and Ubuntu, can you help me configure selinux in Ubuntu?

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  • Local Events | Azure Bootcamp

    - by Jeff Julian
    Coming to Kansas City April 8th and 9th is the Microsoft Azure Bootcamp. This event looks very promising for those developers who are looking into Azure for themselves or their companies. It covers the wide range of topics required to understand what Azure really is and is not. Space is limited so if you are considering Azure, register for this event today.Agenda:Module 1: Introduction to cloud computer and AzureHow it worksKey ScenariosThe development environment and SDKModule 2: Using Web RolesBasic ASP.NETBasic configurationModule 3: Blobs: File Storage in the cloudModule 4: Tables: Scalable hierarchical storageModule 5: Queues: Decoupling your systemsModule 6: Basic Worker RolesExecuting backend processesConsuming a queueLeveraging local storageModule 7: Advanced Worker RolesExternal EndpointsInter-role communicationModule 8: Building a business with AzureUsing Azure as an ISV or a partnerAdvantages to delivering valueBPOSPricingModule 9: SQL AzureSetting it upSQL Azure firewallRemote managementMigrating dataModule 10: AppFabricService BusAccess Control SystemIdentity in the cloudModule 11: Cloud ScenariosApp migration strategiesDisposable computingDynamic scaleShuntingPrototypingMultitenant applications (This is my second attempt at this post after MacJournal decided to crash and not save my work. Authoring tools all need auto-save features by now, that is a requirement set in stone by Microsoft Word 97) Related Tags: Azure, Microsoft, Kansas City

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