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  • How to Check Authenticity of an AJAX Request

    - by Alex Reisner
    I am designing a web site in which users solve puzzles as quickly as they can. JavaScript is used to time each puzzle, and the number of milliseconds is sent to the server via AJAX when the puzzle is completed. How can I ensure that the time received by the server was not forged by the user? I don't think a session-based authenticity token (the kind used for forms in Rails) is sufficient because I need to authenticate the source of a value, not just the legitimacy of the request. Is there a way to cryptographically sign the request? I can't think of anything that couldn't be duplicated by a hacker. Is any JavaScript, by its exposed, client-side nature, subject to tampering? Am I going to have to use something that gets compiled, like Flash? (Yikes.) Or is there some way to hide a secret key? Or something else I haven't thought of? Update: To clarify, I don't want to penalize people with slow network connections (and network speed should be considered inconsistent), so the timing needs to be 100% client-side (the timer starts only when we know the user can see the puzzle). Also, there is money involved so no amount of "trusting the user" is acceptable.

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  • how to transfer a time which was zero at year of 0000(maybe) to java.util.Date

    - by hguser
    I have a gps time in the database,and when I do some query,I have to use the java.util.Date,however I found that I do not know how to change the gps time to java.util.Date. Here is a example: The readable time === The GPS time 2010-11-15 13:10:00 === 634254192000000000 2010-11-15 14:10:00 === 634254228000000000 The period of the two date is "36000000000",,obviously it stands for one hour,so I think the unit of the gps time in the db must be nanosecond. 1 hour =3600 seconds= 3600*1000 milliseconds == 3600*1000*10000 nanoseconds Then I try to convert the gps time: Take the " 634254228000000000" as example,it stands for("2010-11-15 14:10:00"); SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ssZ"); Date d = new Date(63425422800000L); System.out.println(sdf.format(d)); The result is 3979-11-15 13:00:00+0000. Of course it is wrong,then I try to calculate : 63425422800000/3600000/24/365=2011.xxx So it seems that the gps time here is not calcuated from Epoch(1970-01-01 00:00:00+0000). It maybe something like (0001-01-01 00:00:00+0000). Then I try to use the following method: Date date_0=sdf.parse("0001-01-01 00:00:00+0000"); Date d = new Date(63425422800000L); System.out.println(sdf.format(d.getTime() + date_0.getTime())); The result is: 2010-11-13 13:00:00+0000. :( Now I am confusing about how to calculate this gps time. Any suggestion?

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  • How to speed up drawing of scaled image? Audio playback chokes during window resize.

    - by Paperflyer
    I am writing an audio player for OSX. One view is a custom view that displays a waveform. The waveform is stored as a instance variable of type NSImage with an NSBitmapImageRep. The view also displays a progress indicator (a thick red line). Therefore, it is updated/redrawn every 30 milliseconds. Since it takes a rather long time to recalculate the image, I do that in a background thread after every window resize and update the displayed image once the new image is ready. In the meantime, the original image is scaled to fit the view like this: // The drawing rectangle is slightly smaller than the view, defined by // the two margins. NSRect drawingRect; drawingRect.origin = NSMakePoint(sideEdgeMarginWidth, topEdgeMarginHeight); drawingRect.size = NSMakeSize([self bounds].size.width-2*sideEdgeMarginWidth, [self bounds].size.height-2*topEdgeMarginHeight); [waveform drawInRect:drawingRect fromRect:NSZeroRect operation:NSCompositeSourceOver fraction:1]; The view makes up the biggest part of the window. During live resize, audio starts choking. Selecting the "big" graphic card on my Macbook Pro makes it less bad, but not by much. CPU utilization is somewhere around 20-40% during live resizes. Instruments suggests that rescaling/redrawing of the image is the problem. Once I stop resizing the window, CPU utilization goes down and audio stops glitching. I already tried to disable image interpolation to speed up the drawing like this: [[NSGraphicsContext currentContext] setImageInterpolation:NSImageInterpolationNone]; That helps, but audio still chokes during live resizes. Do you have an idea how to improve this? The main thing is to prevent the audio from choking.

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  • Events fired when you change the contents of a control in Silverlight

    - by nyxtom
    Assuming I change the contents of a control using a XamlReader and add the UIElement to the container of a control, what events are supposed to fire? There are times where the SizeChanged will fire, LayoutUpdated changing.. though there are other times where neither of these occur despite having changing the contents of a control. In my case, I am generating a thumbnail view of what's currently in view on a page. The user can change the content of the page and thus the thumbnail should update accordingly. Though, wiring to the LayoutUpdated, Loaded, SizeChanged aren't always reliable for when the contents have changed. I would just call my InvalidateThumbnail which uses a writeablebitmap, but it's too quick after setting the content and as a result I will get a blank thumbnail. At the moment, my hack (cringes) was to wait a few milliseconds before the UI is done rendering the actual new content and I can reliably create the thumbnail. I'd rather just trigger on an event every time though. Possible? What events should I look at? I've seen CompositeTarget.Rendering but that's not what I want.

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  • [Processing/Java]Visibility/Layering Issue

    - by nnash
    I'm working on a small sketch in processing where I am making a "clock" using the time functions and drawing ellipses across the canvas based on milliseconds, seconds and minutes. I'm using a for loop to draw all of the ellipses and each for loop is inside its own method. I'm calling each of these methods in the draw function. However for some reason only the first method that is called is being drawn, when ideally I would like to have them all being visibly rendered. //setup program void setup() { size(800, 600); frameRate(30); background(#eeeeee); smooth(); } void draw(){ milliParticles(); secParticles(); minParticles(); } //time based particles void milliParticles(){ for(int i = int(millis()); i >= 0; i++) { ellipse(random(800), random(600), 5, 5 ); fill(255); } } void secParticles() { for(int i = int(second()); i >= 0; i++) { fill(0); ellipse(random(800), random(600), 10, 10 ); background(#eeeeee); } } void minParticles(){ for(int i = int(minute()); i >= 0; i++) { fill(50); ellipse(random(800), random(600), 20, 20 ); } }

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  • C++ - Totally suspend windows application

    - by HardCoder1986
    Hello! I am developing a simple WinAPI application and started from writing my own assertion system. I have a macro defined like ASSERT(X) which would make pretty the same thing as assert(X) does, but with more information, more options and etc. At some moment (when that assertion system was already running and working) I realized there is a problem. Suppose I wrote a code that does some action using a timer and (just a simple example) this action is done while handling WM_TIMER message. And now, the situation changes the way that this code starts throwing an assert. This assert message would be shown every TIMER_RESOLUTION milliseconds and would simply flood the screen. Options for solving this situation could be: 1) Totally pause application running (probably also, suspend all threads) when the assertion messagebox is shown and continue running after it is closed 2) Make a static counter for the shown asserts and don't show asserts when one of them is already showing (but this doesn't pause application) 3) Group similiar asserts and show only one for each assert type (but this also doesn't pause application) 4) Modify the application code (for example, Get / Translate / Dispatch message loop) so that it suspends itself when there are any asserts. This is good, but not universal and looks like a hack. To my mind, option number 1 is the best. But I don't know any way how this can be achieved. What I'm seeking for is a way to pause the runtime (something similiar to Pause button in the debugger). Does somebody know how to achieve this? Also, if somebody knows an efficient way to handle this problem - I would appreciate your help. Thank you.

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  • Throttling in OSB

    - by Knut Vatsendvik
    Technorati Tags: soa,integration,osb,throttling,overload protection A common problem with integration is the risk of overloading a particular web service. When the capacity of a web service is reached and it continues to accept connections, it will most likely start to deteriorate. Fortunately there are 2 techniques, with Oracle Service Bus, that you can apply for protecting this from happening. You can either limit the concurrent number of requests for a Business Service (outbound requests) or you can limit the number of threads processing the requests for a Proxy Service (inbound requests). Limiting the Concurrent Number of Requests Limiting the concurrent requests for a Business Service cannot be set at design time so you have to use the built-in Oracle Service Bus Administration Console to do it (/sbconsole). Follow these steps to enable it: In Change Center, click Create to start a new Session Select Project Explorer, and navigate to the Business Service you want to limit Select the Operational Settings tab of the View a Business Service page In this tab, under Throttling, select the Enable check box. By enabling throttling you Specify a value for Maximum Concurrency Specify a positive integer value for Throttling Queue to backlog messages that has exceeded the message concurrency limit Specify the maximum time in milliseconds for Message Expiration a message can spend in Throttling Queue Click Update Click Active in Change Center to active the new settings If you re-publish the service, it will not overwrite the settings. Only if the resource is renamed or moved, it will. Please note that a throttling queue is an in-memory queue. Messages that are placed in this queue are not recoverable when a server fails or when you restart a server. Limiting the Number of Threads A better approach, in my opinion, is to limit the number of threads that can work with request. Follow these steps to do it: Open the WebLogic Server Console (/console) In Change Center, click Create to start a new Session In the left pane expand Environment and select Work Managers In the Global Work Managers page, click New    Click the Work Manager radio button, then click Next Enter a Name for the new Work Manager, and click Next In the Available Targets list, select server instances or clusters on which you will deploy applications that reference the Work Manager Click Finish. The new Work Manager now appears in the Global Work Managers page. Select the new Work Manager Right next to the Maximum Threads Constraint drop-down box, click New   Click the Maximum Threads Constraint radio button, then click Next Enter a Name and a thread Count to be the maximum size to allocate for requests. Click Next  In the Available Targets list, select server instances or clusters on which you will deploy applications that reference the Work Manager Click Finish Click Save Click Active in Change Center to active your changes.  A restart may be necessary.   Puh! Almost there. Start a new session. Go to the Service Bus Console (/sbconsole) and find your consuming Proxy Service. Click the Edit button of the Transport Configuration tab. Click Next Set the Dispatch Policy to the new Work Manager Click Last Click Save Click Active in Change Center to active your changes. 

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  • IE9 and the Mystery of the Broken Video Tag

    - by David Wesst
    I was very excited when Microsoft released the Internet Explorer 9 Release Candidate. As far as I was concerned, this was another nail in the coffin for IE6 and step in the right direction for us .NET web developers as our base camp was finally starting to support the latest and greatest future-web standards. Unfortunately, my celebration was short lived as I soon hit a snag while loading up an HTML5 site I was building in Visual Studio 2010. The Mystery After updating Internet Explorer, I ran my HTML5 site that had the oh-so-lovely HTML5 video tag showing a video. Even though this worked in IE9 Beta, it appeared that IE9 RC could not load the same file. I figured that it was the video codec. Maybe IE9 RC no longer supported the video codec I used to encode my video. Here's the code I used: <video width="854" height="480" id="myOtherVideo" autoplay="" controls=""> <source src="/DemoSite1/Media/big_buck_bunny.mp4"/> <div> <p>Your browser does not support HTML5 Video.</p> </div> </video> As you can see from the code, I had the "fail-safe" code inside the video tag. The idea there being that if the video tag, or the video files themselves, are not supported by the browser my video should fail gracefully. What was even more strange was the fact that it worked in all the other HTML5 browsers that supported video. The Investigation Whoa! DJ stop the music. How can any of that make sense? Would the IE team really take such huge strides forward only to forget to include a feature that was already in the beta? I don't think so. I did plenty of searching on the web and asking around on the web, but could not seem to find anyone else having the same problem. Eventually I came across this post talking about declaring the MIME type in the .htaccess file. That got me thinking: does my web server support the video MIME type? I was using VS2010, so how do I know what kind of MIME types are supported by default? Still, my page hosted in Cassini (the web development server in VS2010) works on the other browsers. Why wouldn't it work with IE9 RC? To answer that, it was time to open up the upgraded toolbox known as the Developer's Tools in IE9 and use the new Network Tab. The Conclusion If you take a closer look at the results displayed from the Network tab, you can see that IE9 RC has interpreted the video file as text/html rather than video/mp4. To make this work, I decided to use IIS to debug my HTML5 web application by setting the web project's properties. Then, I added the MIME types that I want to support (i.e. video/mp4, video/ogg, video/webm). Et voila! The Mystery of the Broken Video Tag is solved. After Thoughts After solving the mystery, I still had the question about why my site worked in Chrome, Safari, and Firefox 3.6. After asking around, the best answer that I received was from my colleague Tyler Doerksen. He said that IE9 likely depends on the server telling it what kind of file it is downloading rather than trying to read the metadata about the data it is trying to download before doing anything. I have no facts to back this up, but it makes sense to me. In a browser war where milliseconds can make your browser fall back a few places in the race for supremacy, maybe the IE team opted to depend on the server knowing what kind of content it is serving up. Makes sense to me. In any case, that is just an educated guess. If you have any comments, feel free to post on them below. This post also appears at http://david.wes.st

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  • Clever memory usage through the years

    - by Ben Emmett
    A friend and I were recently talking about the really clever tricks people have used to get the most out of memory. I thought I’d share my favorites, and would love to hear yours too! Interleaving on drum memory Back in the ye olde days before I’d been born (we’re talking the 50s / 60s here), working memory commonly took the form of rotating magnetic drums. These would spin at a constant speed, and a fixed head would read from memory when the correct part of the drum passed it by, a bit like a primitive platter disk. Because each revolution took a few milliseconds, programmers took to manually arranging information non-sequentially on the drum, timing when an instruction or memory address would need to be accessed, then spacing information accordingly around the edge of the drum, thus reducing the access delay. Similar techniques were still used on hard disks and floppy disks into the 90s, but have become irrelevant with modern disk technologies. The Hashlife algorithm Conway’s Game of Life has attracted numerous implementations over the years, but Bill Gosper’s Hashlife algorithm is particularly impressive. Taking advantage of the repetitive nature of many cellular automata, it uses a quadtree structure to store the hashes of pieces of the overall grid. Over time there are fewer and fewer new structures which need to be evaluated, so it starts to run faster with larger grids, drastically outperforming other algorithms both in terms of speed and the size of grid which can be simulated. The actual amount of memory used is huge, but it’s used in a clever way, so makes the list . Elite’s procedural generation Ok, so this isn’t exactly a memory optimization – more a storage optimization – but it gets an honorable mention anyway. When writing Elite, David Braben and Ian Bell wanted to build a rich world which gamers could explore, but their 22K memory was something of a limitation (for comparison that’s about the size of my avatar picture at the top of this page). They procedurally generated all the characteristics of the 2048 planets in their virtual universe, including the names, which were stitched together using a lookup table of parts of names. In fact the original plans were for 2^52 planets, but it was decided that that was probably too many. Oh, and they did that all in assembly language. Other games of the time used similar techniques too – The Sentinel’s landscape generation algorithm being another example. Modern Garbage Collectors Garbage collection in managed languages like Java and .NET ensures that most of the time, developers stop needing to care about how they use and clean up memory as the garbage collector handles it automatically. Achieving this without killing performance is a near-miraculous feet of software engineering. Much like when learning chemistry, you find that every time you think you understand how the garbage collector works, it turns out to be a mere simplification; that there are yet more complexities and heuristics to help it run efficiently. Of course introducing memory problems is still possible (and there are tools like our memory profiler to help if that happens to you) but they’re much, much rarer. A cautionary note In the examples above, there were good and well understood reasons for the optimizations, but cunningly optimized code has usually had to trade away readability and maintainability to achieve its gains. Trying to optimize memory usage without being pretty confident that there’s actually a problem is doing it wrong. So what have I missed? Tell me about the ingenious (or stupid) tricks you’ve seen people use. Ben

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  • SQL Server IO handling mechanism can be severely affected by high CPU usage

    - by sqlworkshops
    Are you using SSD or SAN / NAS based storage solution and sporadically observe SQL Server experiencing high IO wait times or from time to time your DAS / HDD becomes very slow according to SQL Server statistics? Read on… I need your help to up vote my connect item – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage. Instead of taking few seconds, queries could take minutes/hours to complete when CPU is busy.In SQL Server when a query / request needs to read data that is not in data cache or when the request has to write to disk, like transaction log records, the request / task will queue up the IO operation and wait for it to complete (task in suspended state, this wait time is the resource wait time). When the IO operation is complete, the task will be queued to run on the CPU. If the CPU is busy executing other tasks, this task will wait (task in runnable state) until other tasks in the queue either complete or get suspended due to waits or exhaust their quantum of 4ms (this is the signal wait time, which along with resource wait time will increase the overall wait time). When the CPU becomes free, the task will finally be run on the CPU (task in running state).The signal wait time can be up to 4ms per runnable task, this is by design. So if a CPU has 5 runnable tasks in the queue, then this query after the resource becomes available might wait up to a maximum of 5 X 4ms = 20ms in the runnable state (normally less as other tasks might not use the full quantum).In case the CPU usage is high, let’s say many CPU intensive queries are running on the instance, there is a possibility that the IO operations that are completed at the Hardware and Operating System level are not yet processed by SQL Server, keeping the task in the resource wait state for longer than necessary. In case of an SSD, the IO operation might even complete in less than a millisecond, but it might take SQL Server 100s of milliseconds, for instance, to process the completed IO operation. For example, let’s say you have a user inserting 500 rows in individual transactions. When the transaction log is on an SSD or battery backed up controller that has write cache enabled, all of these inserts will complete in 100 to 200ms. With a CPU intensive parallel query executing across all CPU cores, the same inserts might take minutes to complete. WRITELOG wait time will be very high in this case (both under sys.dm_io_virtual_file_stats and sys.dm_os_wait_stats). In addition you will notice a large number of WAITELOG waits since log records are written by LOG WRITER and hence very high signal_wait_time_ms leading to more query delays. However, Performance Monitor Counter, PhysicalDisk, Avg. Disk sec/Write will report very low latency times.Such delayed IO handling also occurs to read operations with artificially very high PAGEIOLATCH_SH wait time (with number of PAGEIOLATCH_SH waits remaining the same). This problem will manifest more and more as customers start using SSD based storage for SQL Server, since they drive the CPU usage to the limits with faster IOs. We have a few workarounds for specific scenarios, but we think Microsoft should resolve this issue at the product level. We have a connect item open – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage - (with example scripts) to reproduce this behavior, please up vote the item so the issue will be addressed by the SQL Server product team soon.Thanks for your help and best regards,Ramesh MeyyappanHome: www.sqlworkshops.comLinkedIn: http://at.linkedin.com/in/rmeyyappan

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  • WebLogic Server Performance and Tuning: Part II - Thread Management

    - by Gokhan Gungor
    WebLogic Server, like any other java application server, provides resources so that your applications use them to provide services. Unfortunately none of these resources are unlimited and they must be managed carefully. One of these resources is threads which are pooled to provide better throughput and performance along with the fast response time and to avoid deadlocks. Threads are execution points that WebLogic Server delivers its power and execute work. Managing threads is very important because it may affect the overall performance of the entire system. In previous releases of WebLogic Server 9.0 we had multiple execute queues and user defined thread pools. There were different queues for different type of work which had fixed number of execute threads.  Tuning of this thread pools and finding the proper number of threads was time consuming which required many trials. WebLogic Server 9.0 and the following releases use a single thread pool and a single priority-based execute queue. All type of work is executed in this single thread pool. Its size (thread count) is automatically decreased or increased (self-tuned). The new “self-tuning” system simplifies getting the proper number of threads and utilizing them.Work manager allows your applications to run concurrently in multiple threads. Work manager is a mechanism that allows you to manage and utilize threads and create rules/guidelines to follow when assigning requests to threads. We can set a scheduling guideline or priority a request with a work manager and then associate this work manager with one or more applications. At run-time, WebLogic Server uses these guidelines to assign pending work/requests to execution threads. The position of a request in the execute queue is determined by its priority. There is a default work manager that is provided. The default work manager should be sufficient for most applications. However there can be cases you want to change this default configuration. Your application(s) may be providing services that need mixture of fast response time and long running processes like batch updates. However wrong configuration of work managers can lead a performance penalty while expecting improvement.We can define/configure work managers at;•    Domain Level: config.xml•    Application Level: weblogic-application.xml •    Component Level: weblogic-ejb-jar.xml or weblogic.xml(For a specific web application use weblogic.xml)We can use the following predefined rules/constraints to manage the work;•    Fair Share Request Class: Specifies the average thread-use time required to process requests. The default is 50.•    Response Time Request Class: Specifies a response time goal in milliseconds.•    Context Request Class: Assigns request classes to requests based on context information.•    Min Threads Constraint: Limits the number of concurrent threads executing requests.•    Max Threads Constraint: Guarantees the number of threads the server will allocate to requests.•    Capacity Constraint: Causes the server to reject requests only when it has reached its capacity. Let’s create a work manager for our application for a long running work.Go to WebLogic console and select Environment | Work Managers from the domain structure tree. Click New button and select Work manager and click next. Enter the name for the work manager and click next. Then select the managed server instances(s) or clusters from available targets (the one that your long running application is deployed) and finish. Click on MyWorkManager, and open the Configuration tab and check Ignore Stuck Threads and save. This will prevent WebLogic to tread long running processes (that is taking more than a specified time) as stuck and enable to finish the process.

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  • RPi and Java Embedded GPIO: Big Data and Java Technology

    - by hinkmond
    Java Embedded and Big Data go hand-in-hand, especially as demonstrated by prototyping on a Raspberry Pi to show how well the Java Embedded platform can perform on a small embedded device which then becomes the proof-of-concept for industrial controllers, medical equipment, networking gear or any type of sensor-connected device generating large amounts of data. The key is a fast and reliable way to access that data using Java technology. In the previous blog posts you've seen the integration of a static electricity sensor and the Raspberry Pi through the GPIO port, then accessing that data through Java Embedded code. It's important to point out how this works and why it works well with Java code. First, the version of Linux (Debian Wheezy/Raspian) that is found on the RPi has a very convenient way to access the GPIO ports through the use of Linux OS managed file handles. This is key in avoiding terrible and complex coding using register manipulation in C code, or having to program in a less elegant and clumsy procedural scripting language such as python. Instead, using Java Embedded, allows a fast way to access those GPIO ports through those same Linux file handles. Java already has a very easy to program way to access file handles with a high degree of performance that matches direct access of those file handles with the Linux OS. Using the Java API java.io.FileWriter lets us open the same file handles that the Linux OS has for accessing the GPIO ports. Then, by first resetting the ports using the unexport and export file handles, we can initialize them for easy use in a Java app. // Open file handles to GPIO port unexport and export controls FileWriter unexportFile = new FileWriter("/sys/class/gpio/unexport"); FileWriter exportFile = new FileWriter("/sys/class/gpio/export"); ... // Reset the port unexportFile.write(gpioChannel); unexportFile.flush(); // Set the port for use exportFile.write(gpioChannel); exportFile.flush(); Then, another set of file handles can be used by the Java app to control the direction of the GPIO port by writing either "in" or "out" to the direction file handle. // Open file handle to input/output direction control of port FileWriter directionFile = new FileWriter("/sys/class/gpio/gpio" + gpioChannel + "/direction"); // Set port for input directionFile.write("in"); // Or, use "out" for output directionFile.flush(); And, finally, a RandomAccessFile handle can be used with a high degree of performance on par with native C code (only milliseconds to read in data and write out data) with low overhead (unlike python) to manipulate the data going in and out on the GPIO port, while the object-oriented nature of Java programming allows for an easy way to construct complex analytic software around that data access functionality to the external world. RandomAccessFile[] raf = new RandomAccessFile[GpioChannels.length]; ... // Reset file seek pointer to read latest value of GPIO port raf[channum].seek(0); raf[channum].read(inBytes); inLine = new String(inBytes); It's Big Data from sensors and industrial/medical/networking equipment meeting complex analytical software on a small constraint device (like a Linux/ARM RPi) where Java Embedded allows you to shine as an Embedded Device Software Designer. Hinkmond

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  • Investigating on xVelocity (VertiPaq) column size

    - by Marco Russo (SQLBI)
      In January I published an article about how to optimize high cardinality columns in VertiPaq. In the meantime, VertiPaq has been rebranded to xVelocity: the official name is now “xVelocity in-memory analytics engine (VertiPaq)” but using xVelocity and VertiPaq when we talk about Analysis Services has the same meaning. In this post I’ll show how to investigate on columns size of an existing Tabular database so that you can find the most important columns to be optimized. A first approach can be looking in the DataDir of Analysis Services and look for the folder containing the database. Then, look for the biggest files in all subfolders and you will find the name of a file that contains the name of the most expensive column. However, this heuristic process is not very optimized. A better approach is using a DMV that provides the exact information. For example, by using the following query (open SSMS, open an MDX query on the database you are interested to and execute it) you will see all database objects sorted by used size in a descending way. SELECT * FROM $SYSTEM.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS ORDER BY used_size DESC You can look at the first rows in order to understand what are the most expensive columns in your tabular model. The interesting data provided are: TABLE_ID: it is the name of the object – it can be also a dictionary or an index COLUMN_ID: it is the column name the object belongs to – you can also see ID_TO_POS and POS_TO_ID in case they refer to internal indexes RECORDS_COUNT: it is the number of rows in the column USED_SIZE: it is the used memory for the object By looking at the ration between USED_SIZE and RECORDS_COUNT you can understand what you can do in order to optimize your tabular model. Your options are: Remove the column. Yes, if it contains data you will never use in a query, simply remove the column from the tabular model Change granularity. If you are tracking time and you included milliseconds but seconds would be enough, round the data source column to the nearest second. If you have a floating point number but two decimals are good enough (i.e. the temperature), round the number to the nearest decimal is relevant to you. Split the column. Create two or more columns that have to be combined together in order to produce the original value. This technique is described in VertiPaq optimization article. Sort the table by that column. When you read the data source, you might consider sorting data by this column, so that the compression will be more efficient. However, this technique works better on columns that don’t have too many distinct values and you will probably move the problem to another column. Sorting data starting from the lower density columns (those with a few number of distinct values) and going to higher density columns (those with high cardinality) is the technique that provides the best compression ratio. After the optimization you should be able to reduce the used size and improve the count/size ration you measured before. If you are interested in a longer discussion about internal storage in VertiPaq and you want understand why this approach can save you space (and time), you can attend my 24 Hours of PASS session “VertiPaq Under the Hood” on March 21 at 08:00 GMT.

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  • Investigating on xVelocity (VertiPaq) column size

    - by Marco Russo (SQLBI)
      In January I published an article about how to optimize high cardinality columns in VertiPaq. In the meantime, VertiPaq has been rebranded to xVelocity: the official name is now “xVelocity in-memory analytics engine (VertiPaq)” but using xVelocity and VertiPaq when we talk about Analysis Services has the same meaning. In this post I’ll show how to investigate on columns size of an existing Tabular database so that you can find the most important columns to be optimized. A first approach can be looking in the DataDir of Analysis Services and look for the folder containing the database. Then, look for the biggest files in all subfolders and you will find the name of a file that contains the name of the most expensive column. However, this heuristic process is not very optimized. A better approach is using a DMV that provides the exact information. For example, by using the following query (open SSMS, open an MDX query on the database you are interested to and execute it) you will see all database objects sorted by used size in a descending way. SELECT * FROM $SYSTEM.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS ORDER BY used_size DESC You can look at the first rows in order to understand what are the most expensive columns in your tabular model. The interesting data provided are: TABLE_ID: it is the name of the object – it can be also a dictionary or an index COLUMN_ID: it is the column name the object belongs to – you can also see ID_TO_POS and POS_TO_ID in case they refer to internal indexes RECORDS_COUNT: it is the number of rows in the column USED_SIZE: it is the used memory for the object By looking at the ration between USED_SIZE and RECORDS_COUNT you can understand what you can do in order to optimize your tabular model. Your options are: Remove the column. Yes, if it contains data you will never use in a query, simply remove the column from the tabular model Change granularity. If you are tracking time and you included milliseconds but seconds would be enough, round the data source column to the nearest second. If you have a floating point number but two decimals are good enough (i.e. the temperature), round the number to the nearest decimal is relevant to you. Split the column. Create two or more columns that have to be combined together in order to produce the original value. This technique is described in VertiPaq optimization article. Sort the table by that column. When you read the data source, you might consider sorting data by this column, so that the compression will be more efficient. However, this technique works better on columns that don’t have too many distinct values and you will probably move the problem to another column. Sorting data starting from the lower density columns (those with a few number of distinct values) and going to higher density columns (those with high cardinality) is the technique that provides the best compression ratio. After the optimization you should be able to reduce the used size and improve the count/size ration you measured before. If you are interested in a longer discussion about internal storage in VertiPaq and you want understand why this approach can save you space (and time), you can attend my 24 Hours of PASS session “VertiPaq Under the Hood” on March 21 at 08:00 GMT.

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  • Faster Memory Allocation Using vmtasks

    - by Steve Sistare
    You may have noticed a new system process called "vmtasks" on Solaris 11 systems: % pgrep vmtasks 8 % prstat -p 8 PID USERNAME SIZE RSS STATE PRI NICE TIME CPU PROCESS/NLWP 8 root 0K 0K sleep 99 -20 9:10:59 0.0% vmtasks/32 What is vmtasks, and why should you care? In a nutshell, vmtasks accelerates creation, locking, and destruction of pages in shared memory segments. This is particularly helpful for locked memory, as creating a page of physical memory is much more expensive than creating a page of virtual memory. For example, an ISM segment (shmflag & SHM_SHARE_MMU) is locked in memory on the first shmat() call, and a DISM segment (shmflg & SHM_PAGEABLE) is locked using mlock() or memcntl(). Segment operations such as creation and locking are typically single threaded, performed by the thread making the system call. In many applications, the size of a shared memory segment is a large fraction of total physical memory, and the single-threaded initialization is a scalability bottleneck which increases application startup time. To break the bottleneck, we apply parallel processing, harnessing the power of the additional CPUs that are always present on modern platforms. For sufficiently large segments, as many of 16 threads of vmtasks are employed to assist an application thread during creation, locking, and destruction operations. The segment is implicitly divided at page boundaries, and each thread is given a chunk of pages to process. The per-page processing time can vary, so for dynamic load balancing, the number of chunks is greater than the number of threads, and threads grab chunks dynamically as they finish their work. Because the threads modify a single application address space in compressed time interval, contention on locks protecting VM data structures locks was a problem, and we had to re-scale a number of VM locks to get good parallel efficiency. The vmtasks process has 1 thread per CPU and may accelerate multiple segment operations simultaneously, but each operation gets at most 16 helper threads to avoid monopolizing CPU resources. We may reconsider this limit in the future. Acceleration using vmtasks is enabled out of the box, with no tuning required, and works for all Solaris platform architectures (SPARC sun4u, SPARC sun4v, x86). The following tables show the time to create + lock + destroy a large segment, normalized as milliseconds per gigabyte, before and after the introduction of vmtasks: ISM system ncpu before after speedup ------ ---- ------ ----- ------- x4600 32 1386 245 6X X7560 64 1016 153 7X M9000 512 1196 206 6X T5240 128 2506 234 11X T4-2 128 1197 107 11x DISM system ncpu before after speedup ------ ---- ------ ----- ------- x4600 32 1582 265 6X X7560 64 1116 158 7X M9000 512 1165 152 8X T5240 128 2796 198 14X (I am missing the data for T4 DISM, for no good reason; it works fine). The following table separates the creation and destruction times: ISM, T4-2 before after ------ ----- create 702 64 destroy 495 43 To put this in perspective, consider creating a 512 GB ISM segment on T4-2. Creating the segment would take 6 minutes with the old code, and only 33 seconds with the new. If this is your Oracle SGA, you save over 5 minutes when starting the database, and you also save when shutting it down prior to a restart. Those minutes go directly to your bottom line for service availability.

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  • Writing a method to 'transform' an immutable object: how should I approach this?

    - by Prog
    (While this question has to do with a concrete coding dilemma, it's mostly about what's the best way to design a function.) I'm writing a method that should take two Color objects, and gradually transform the first Color into the second one, creating an animation. The method will be in a utility class. My problem is that Color is an immutable object. That means that I can't do color.setRGB or color.setBlue inside a loop in the method. What I can do, is instantiate a new Color and return it from the method. But then I won't be able to gradually change the color. So I thought of three possible solutions: 1- The client code includes the method call inside a loop. For example: int duration = 1500; // duration of the animation in milliseconds int steps = 20; // how many 'cycles' the animation will take for(int i=0; i<steps; i++) color = transformColor(color, targetColor, duration, steps); And the method would look like this: Color transformColor(Color original, Color target, int duration, int steps){ int redDiff = target.getRed() - original.getRed(); int redAddition = redDiff / steps; int newRed = original.getRed() + redAddition; // same for green and blue .. Thread.sleep(duration / STEPS); // exception handling omitted return new Color(newRed, newGreen, newBlue); } The disadvantage of this approach is that the client code has to "do part of the method's job" and include a for loop. The method doesn't do it's work entirely on it's own, which I don't like. 2- Make a mutable Color subclass with methods such as setRed, and pass objects of this class into transformColor. Then it could look something like this: void transformColor(MutableColor original, Color target, int duration){ final int STEPS = 20; int redDiff = target.getRed() - original.getRed(); int redAddition = redDiff / steps; int newRed = original.getRed() + redAddition; // same for green and blue .. for(int i=0; i<STEPS; i++){ original.setRed(original.getRed() + redAddition); // same for green and blue .. Thread.sleep(duration / STEPS); // exception handling omitted } } Then the calling code would usually look something like this: // The method will usually transform colors of JComponents JComponent someComponent = ... ; // setting the Color in JComponent to be a MutableColor Color mutableColor = new MutableColor(someComponent.getForeground()); someComponent.setForeground(mutableColor); // later, transforming the Color in the JComponent transformColor((MutableColor)someComponent.getForeground(), new Color(200,100,150), 2000); The disadvantage is - the need to create a new class MutableColor, and also the need to do casting. 3- Pass into the method the actual mutable object that holds the color. Then the method could do object.setColor or similar every iteration of the loop. Two disadvantages: A- Not so elegant. Passing in the object that holds the color just to transform the color feels unnatural. B- While most of the time this method will be used to transform colors inside JComponent objects, other kinds of objects may have colors too. So the method would need to be overloaded to receive other types, or receive Objects and have instanceof checks inside.. Not optimal. Right now I think I like solution #2 the most, than solution #1 and solution #3 the least. However I'd like to hear your opinions and suggestions regarding this.

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  • Frequently getting booted from Securemote VPN-1 Connection

    - by Nick L.
    I connect to my office's network remotely through the Checkpoint SecuRemote E75 (R75) VPN application, but recently it's been causing me a lot of issues when connecting from home. I connect through a WRT54GL router running DD-WRT v24 firmware, so I have no clue if that affects anything. I took a dump of the logs for Checkpoint and here are the messages that populate when I get booted but I have no clue how to decipher them and my IT department is completely clueless in terms of resolving the situation. I'm thinking the router is blocking the keep alive connection or something along those lines, but I have no idea how to fix the problem. [ 2388 2932][30 Aug 22:47:49][TR_OFFICE_MODE] TR_OFFICE_MODE::TrOfficeMode::OmSendIpFrameCB: Not sending packet because it's not to the enc domain [ 2388 2932][30 Aug 22:47:50][TR_EVENTS] TR_EVENTS::Raise: Running registered cb... [ 2388 2932][30 Aug 22:47:50][TrComInf] TrComInf::TrComInfSendAsynchronic: __start__ 22:47:50.606 [ 2388 2932][30 Aug 22:47:50][TrComInf] TrComInf::TrComInf::TrComInfSendAsynchronic: Acquiring mutex [ 2388 2932][30 Aug 22:47:50][messaging] messaging::send_all: Sending Message {{ 2 }} , len 185 [ 2388 2932][30 Aug 22:47:50][tcpserver] TcpMultiPipe::pipe_if_send: Message (193 bytes) written successfully to socket 0x224 [ 2388 2932][30 Aug 22:47:50][TrComInf] TrComInf::TrComInf::TrComInfSendAsynchronic: Released mutex [ 2388 2932][30 Aug 22:47:50][TrComInf] TrComInf::TrComInfSendAsynchronic: __end__ 22:47:50.606. Total time - 0 milliseconds [ 2388 2932][30 Aug 22:47:50][TR_SRV2CL] TR_SRV2CL::SendNotification: Successfully sent notification of type TR_NOTIFICATION_TRAFFIC_IDLE [ 2388 2932][30 Aug 22:47:50][vna] vna_trap: received VNA_TRAP_FORWARD_PACKET [ 2388 2932][30 Aug 22:47:50][vna] vna_traffic_fwd_do : forwarding packet with 98 bytes [ 2388 2932][30 Aug 22:47:50][TR_OFFICE_MODE] TrOfficeMode::OmSendIpFrameCB: Packet to destination 192.168.162.15 of protocol 17 [ 2388 2932][30 Aug 22:47:50][TR_OFFICE_MODE] TR_OFFICE_MODE::TrOfficeMode::OmSendIpFrameCB: Not sending packet because it's not to the enc domain [ 2388 2932][30 Aug 22:47:51][vna] vna_trap: received VNA_TRAP_FORWARD_PACKET [ 2388 2932][30 Aug 22:47:51][vna] vna_traffic_fwd_do : forwarding packet with 98 bytes [ 2388 2932][30 Aug 22:47:51][TR_OFFICE_MODE] TrOfficeMode::OmSendIpFrameCB: Packet to destination 192.168.162.15 of protocol 17 [ 2388 2932][30 Aug 22:47:51][TR_OFFICE_MODE] TR_OFFICE_MODE::TrOfficeMode::OmSendIpFrameCB: Not sending packet because it's not to the enc domain [ 2388 2392][30 Aug 22:47:52][TracService] service_ctrl_ex: Called with ctrl_code 14 [ 2388 2392][30 Aug 22:47:52][TracService] service_ctrl_ex: System got SERVICE_CONTROL_SESSIONCHANGE message event type 4 session 2 [ 2388 2392][30 Aug 22:47:52][TracService] service_ctrl_ex: Console/remote disconnect has occured in session 2 [ 2388 2932][30 Aug 22:47:52][vna] vna_trap: received VNA_TRAP_FORWARD_PACKET [ 2388 2932][30 Aug 22:47:52][vna] vna_traffic_fwd_do : forwarding packet with 98 bytes [ 2388 2932][30 Aug 22:47:52][TR_OFFICE_MODE] TrOfficeMode::OmSendIpFrameCB: Packet to destination 192.168.162.15 of protocol 17 [ 2388 2932][30 Aug 22:47:52][TR_OFFICE_MODE] TR_OFFICE_MODE::TrOfficeMode::OmSendIpFrameCB: Not sending packet because it's not to the enc domain [ 2388 2932][30 Aug 22:47:52][TR_CONN_MANAGER] TR_CONN_MANAGER::ConnEnum: Returning connection at position 1 [ 2388 2932][30 Aug 22:47:52][TR_EVENTS] TR_EVENTS::Raise: Running registered cb... [ 2388 2932][30 Aug 22:47:52][TR_CONN_MANAGER] TR_CONN_MANAGER::ConnEventMainHandler: no gw handle [ 2388 2932][30 Aug 22:47:52][TR_CONN_MANAGER] TR_CONN_MANAGER::ConnEventMainHandler: Current connection state is TR_CONN_STATE_CONNECTED. Receiving event of type CONN_EVENT_SYSTEM_SESSION_LOGOFF. Connection handle = 1. System state: TR_SYSTEM_STATE_RUNNING [ 2388 2932][30 Aug 22:47:52][CONFIG_MANAGER] suspend_tunnel_while_locked return value false, because it is Default variable. Scope: site 12.43.159.10, gw NULL ,user USER [ 2388 2932][30 Aug 22:47:52][TR_CONN_MANAGER] TR_CONN_MANAGER::ConnEventConnectedHandler: no gw handle [ 2388 2932][30 Aug 22:47:52][TR_CONN_MANAGER] TR_CONN_MANAGER::ConnEventConnectedHandler: receive session logoff event while connected. cancelling connection Thanks all. :)

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  • Tomcat can't talk to MySql after outage

    - by gav
    I missed a payment for my server and hey suspended my account for a day or so. When they brought the server back up all my data was in tact but for some reason Tomcat can't make a JDBC connection to my MySql server. They both run on the same machine and hence I have a bind address of 127.0.0.1. It's strange because I have reset the machine of my own accord before without issue but clearly something has been reset in the downtime. I followed this guide (Just the bits which don't concern S3, I am not on Amazon infrastructure) originally and everything worked as expected. I'm very new to being a SysAdmin and I'm not sure what to try, how would you go about diagnosing this issue? The stack trace I get is as follows; INFO: Deploying web application archive myapp-1.1.war 2010-05-26 22:07:22,221 [main] ERROR context.ContextLoader - Context initialization failed org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'messageSource': Initialization of bean failed; nested exception is org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'transactionManager': Cannot resolve reference to bean 'sessionFactory' while setting bean property 'sessionFactory'; nested exception is org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'sessionFactory': Cannot resolve reference to bean 'hibernateProperties' while setting bean property 'hibernateProperties'; nested exception is org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'hibernateProperties': Cannot resolve reference to bean 'dialectDetector' while setting bean property 'properties' with key [hibernate.dialect]; nested exception is org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'dialectDetector': Invocation of init method failed; nested exception is org.springframework.jdbc.support.MetaDataAccessException: Could not get Connection for extracting meta data; nested exception is org.springframework.jdbc.CannotGetJdbcConnectionException: Could not get JDBC Connection; nested exception is org.apache.commons.dbcp.SQLNestedException: Cannot create PoolableConnectionFactory (Communications link failure The last packet sent successfully to the server was 0 milliseconds ago. The driver has not received any packets from the server.) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:519) at org.codehaus.groovy.grails.commons.spring.ReloadAwareAutowireCapableBeanFactory.doCreateBean(ReloadAwareAutowireCapableBeanFactory.java:129) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:450) at org.springframework.beans.factory.support.AbstractBeanFactory$1.getObject(AbstractBeanFactory.java:290) at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:222) at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:287) at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:193) at org.springframework.context.support.AbstractApplicationContext.initMessageSource(AbstractApplicationContext.java:714) at org.springframework.context.support.AbstractApplicationContext.refresh(AbstractApplicationContext.java:404) at org.codehaus.groovy.grails.commons.spring.GrailsWebApplicationContext.refresh(GrailsWebApplicationContext.java:153) ... I get this error for a number of 'beans'. If I type mysql at my command prompt then I can easily login with the same credentials as my grails app which uses GORM and Hibernate to persist objects to the DB. I might not have given enough info to start with but I'm really interested to learn and will certainly provide it if asked, I just really don't know where to start on this one. Thanks, Gav

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  • Win7 x64 unresponsive for a minute or so. HD failing?

    - by Gaia
    On a fully updated Win7 x64, every so often the system stalls for a minute or so. This has been going on for a couple months now. By stalling I mean the mouse responds and I can move windows around, but any window, any program, that is open becomes whiteish when I select it AND any new programs will not open. It doesn't matter what kind of program it is. When the stall stops all clicks I made (open new programs for example) take effect. Nothing shows up consistently (as in every time this happens) in the event log. Today though I was able to find something, but it doesn't reveal much other than the "system was unresponsive". It's a 7009 for "A timeout was reached (30000 milliseconds) while waiting for the Windows Error Reporting Service service to connect." It doesn't matter if I have any USB devices plug-in or not. I've ran Microsoft Security Essentials and Malwarebytes. While the machine is unresponsive, I've noticed that Drive D (the other partition on the single internal HD in this laptop) is displayed like this in explorer. This never occurs with Drive C or any other drive on the machine. . SMART report for the physical drive: Read benchmark by HD Tune 5 Pro, probably the most telling piece of the puzzle. Isn't this alone enough to see there is a problem with the drive, regardless of whether the unresponsiveness is caused by such purported problem? Here is a short hardware report: Computer: LENOVO ThinkPad T520 CPU: Intel Core i5-2520M (Sandy Bridge-MB SV, J1) 2500 MHz (25.00x100.0) @ 797 MHz (8.00x99.7) Motherboard: LENOVO 423946U Chipset: Intel QM67 (Cougar Point) [B3] Memory: 8192 MBytes @ 664 MHz, 9.0-9-9-24 - 4096 MB PC10600 DDR3 SDRAM - Samsung M471B5273CH0-CH9 - 4096 MB PC10600 DDR3 SDRAM - Patriot Memory (PDP Systems) PSD34G13332S Graphics: Intel Sandy Bridge-MB GT2+ - Integrated Graphics Controller [D2/J1/Q0] [Lenovo] Intel HD Graphics 3000 (Sandy Bridge GT2+), 3937912 KB Drive: ST320LT007, 312.6 GB, Serial ATA 3Gb/s Sound: Intel Cougar Point PCH - High Definition Audio Controller [B2] Network: Intel 82579LM (Lewisville) Gigabit Ethernet Controller Network: Intel Centrino Advanced-N 6205 AGN 2x2 HMC OS: Microsoft Windows 7 Professional (x64) Build 7601 The drive less than 1 year old. Do I have a defective drive? Seagate Tools diag says there is nothing wrong with the drive... UPDATE: I noticed that the windows error reporting service entered the running state then the stopped state and the space between the two events was exactly 2 minutes. Which error it was trying to report I don't know. I check the "Reliability Monitor" and it shows no errors to be reported. I've disabled the windows error reporting service to see if the problem stops.

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  • What Are All the Variables Necessary to Create Blackbox Logs for Nginx?

    - by Alan Gutierrez
    There's an article out there, Profiling LAMP Applications with Apache's Blackbox Logs, that describes how to create a log that records a lot of detailed information missing in the common and combined log formats. This information is supposed to help you resolve performance issues. As the author notes "While the common log-file format (and the combined format) are great for hit tracking, they aren't suitable for getting hardcore performance data." The article describes a "blackbox" log format, like a blackbox flight recorder on an aircraft, that gathers information used to profile server performance, missing from the hit tracking log formats: Keep alive status, remote port, child processes, bytes sent, etc. LogFormat "%a/%S %X %t \"%r\" %s/%>s %{pid}P/%{tid}P %T/%D %I/%O/%B" blackbox I'm trying to recreate as much of the format for Nginx, and would like help filling in the blanks. Here's what Nginx blackbox format would look like, the unmapped Apache directives have question marks after their names. access_log blackbox '$remote_addr/$remote_port X? [$time_local] "$request"' 's?/$status $pid/0 T?/D? I?/O?/B?' Here's a table of the variables I've been able to map from the Nginx documentation. %a = $remote_addr - The IP address of the remote client. %S = $remote_port - The port of the remote client. %X = ? - Keep alive status. %t = $time_local - The start time of the request. %r = $request - The first line of request containing method verb, path and protocol. %s = ? - Status before any redirections. %>s = $status - Status after any redirections. %{pid}P = $pid - The process id. %{tid}P = N/A - The thread id, which is non-applicable to Nignx. %T = ? - The time in seconds to handle the request. %D = ? - The time in milliseconds to handle the request. %I = ? - The count of bytes received including headers. %O = ? - The count of bytes sent including headers. %B = ? - The count of bytes sent excluding headers, but with a 0 for none instead of '-'. Looking for help filling in the missing variables, or confirmation that the missing variables are in fact, unavailable in Nginx.

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  • Loss of wireless network connectivity when playing video via HDMI cable

    - by Jeff Fohl
    Hi Folks - New to Super User, so I hope this question fits in with the guidelines. Very strange problem I am having, and I am at a loss as to how to continue troubleshooting this one. The basic problem is that when I attempt to watch streamed video on a particular display device (an Optoma HD180 projector), my network connectivity drops like a stone to barely measurable levels. This is my setup: I have a Dell H2C 730x running Windows 7 64bit. This particular computer has two ATI Radeon HD 4800 video cards. I have two Samsung 22" monitors connected to one card, and an Optoma HD180 digital projector connected to the other card via an HDMI cable. My internet connection is normally a reliable 6Mbps. The problem I am having occurs when I stream video (or even just browse the web) on the Optoma Projector. When I do this, my internet connection drops to practically zero (just a few kilobits per second). When I move the browser away from the projector, and over to one of my Samsung monitors, the internet connection comes right back. Note that the Optoma projector is on and enabled as a third monitor all this time. I can move the mouse around on the projector without triggering the problem. I tried pinging my router when I was playing a movie on one of the monitors, and I get a 1 millisecond response. However, when I have the movie playing on the Optoma projecter, pinging the router gives me response times in the hundreds of milliseconds, or times out completely. So, it clearly is something local to my machine - and not some sort of throttling occurring down the line. I would think that it is possibly something to do with the HDMI driver conflicting somehow with my network driver (which is a USB-based wireless connection). This one has me really stumped. Anyone have any ideas? EDIT: I am now leaning towards the possibility that the HDMI cable is somehow interfering with the wireless network, when large amounts of data are being pushed through the cable. Is this possible?

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  • How Can We Create Blackbox Logs for Nginx?

    - by Alan Gutierrez
    There's an article out there, Profiling LAMP Applications with Apache's Blackbox Logs, that describes how to create a log that records a lot of detailed information missing in the common and combined log formats. This information is supposed to help you resolve performance issues. As the author notes "While the common log-file format (and the combined format) are great for hit tracking, they aren't suitable for getting hardcore performance data." The article describes a "blackbox" log format, like a blackbox flight recorder on an aircraft, that gathers information used to profile server performance, missing from the hit tracking log formats: Keep alive status, remote port, child processes, bytes sent, etc. LogFormat "%a/%S %X %t \"%r\" %s/%>s %{pid}P/%{tid}P %T/%D %I/%O/%B" blackbox I'm trying to recreate as much of the format for Nginx, and would like help filling in the blanks. Here's what Nginx blackbox format would look like, the unmapped Apache directives have question marks after their names. access_log blackbox '$remote_addr/$remote_port X? [$time_local] "$request"' 's?/$status $pid/0 T?/D? I?/$bytes_sent/$body_bytes_sent' Here's a table of the variables I've been able to map from the Nginx documentation. %a = $remote_addr - The IP address of the remote client. %S = $remote_port - The port of the remote client. %X = ? - Keep alive status. %t = $time_local - The start time of the request. %r = $request - The first line of request containing method verb, path and protocol. %s = ? - Status before any redirections. %>s = $status - Status after any redirections. %{pid}P = $pid - The process id. %{tid}P = N/A - The thread id, which is non-applicable to Nignx. %T = ? - The time in seconds to handle the request. %D = $request_time - The time in milliseconds to handle the request. %I = ? - The count of bytes received including headers. %O = $bytes_sent - The count of bytes sent including headers. %B = $body_bytes_sent - The count of bytes sent excluding headers, but with a 0 for none instead of '-'. Looking for help filling in the missing variables, or confirmation that the missing variables are in fact, unavailable in Nginx.

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  • Troubleshooting Application Timeouts in SQL Server

    - by Tara Kizer
    I recently received the following email from a blog reader: "We are having an OLTP database instance, using SQL Server 2005 with little to moderate traffic (10-20 requests/min). There are also bulk imports that occur at regular intervals in this DB and the import duration ranges between 10secs to 1 min, depending on the data size. Intermittently (2-3 times in a week), we face an issue, where queries get timed out (default of 30 secs set in application). On analyzing, we found two stored procedures, having queries with multiple table joins inside them of taking a long time (5-10 mins) in getting executed, when ideally the execution duration ranges between 5-10 secs. Execution plan of the same displayed Clustered Index Scan happening instead of Clustered Index Seek. All required Indexes are found to be present and Index fragmentation is also minimal as we Rebuild Indexes regularly alongwith Updating Statistics. With no other alternate options occuring to us, we restarted SQL server and thereafter the performance was back on track. But sometimes it was still giving timeout errors for some hits and so we also restarted IIS and that stopped the problem as of now." Rather than respond directly to the blog reader, I thought it would be more interesting to share my thoughts on this issue in a blog. There are a few things that I can think of that could cause abnormal timeouts: Blocking Bad plan in cache Outdated statistics Hardware bottleneck To determine if blocking is the issue, we can easily run sp_who/sp_who2 or a query directly on sysprocesses (select * from master..sysprocesses where blocking <> 0).  If blocking is present and consistent, then you'll need to determine whether or not to kill the parent blocking process.  Killing a process will cause the transaction to rollback, so you need to proceed with caution.  Killing the parent blocking process is only a temporary solution, so you'll need to do more thorough analysis to figure out why the blocking was present.  You should look into missing indexes and perhaps consider changing the database's isolation level to READ_COMMITTED_SNAPSHOT. The blog reader mentions that the execution plan shows a clustered index scan when a clustered index seek is normal for the stored procedure.  A clustered index scan might have been chosen either because that is what is in cache already or because of out of date statistics.  The blog reader mentions that bulk imports occur at regular intervals, so outdated statistics is definitely something that could cause this issue.  The blog reader may need to update statistics after imports are done if the imports are changing a lot of data (greater than 10%).  If the statistics are good, then the query optimizer might have chosen to scan rather than seek in a previous execution because the scan was determined to be less costly due to the value of an input parameter.  If this parameter value is rare, then its execution plan in cache is what we call a bad plan.  You want the best plan in cache for the most frequent parameter values.  If a bad plan is a recurring problem on your system, then you should consider rewriting the stored procedure.  You might want to break up the code into multiple stored procedures so that each can have a different execution plan in cache. To remove a bad plan from cache, you can recompile the stored procedure.  An alternative method is to run DBCC FREEPROCACHE which drops the procedure cache.  It is better to recompile stored procedures rather than dropping the procedure cache as dropping the procedure cache affects all plans in cache rather than just the ones that were bad, so there will be a temporary performance penalty until the plans are loaded into cache again. To determine if there is a hardware bottleneck occurring such as slow I/O or high CPU utilization, you will need to run Performance Monitor on the database server.  Hopefully you already have a baseline of the server so you know what is normal and what is not.  Be on the lookout for I/O requests taking longer than 12 milliseconds and CPU utilization over 90%.  The servers that I support typically are under 30% CPU utilization, but your baseline could be higher and be within a normal range. If restarting the SQL Server service fixes the problem, then the problem was most likely due to blocking or a bad plan in the procedure cache.  Rather than restarting the SQL Server service, which causes downtime, the blog reader should instead analyze the above mentioned things.  Proceed with caution when restarting the SQL Server service as all transactions that have not completed will be rolled back at startup.  This crash recovery process could take longer than normal if there was a long-running transaction running when the service was stopped.  Until the crash recovery process is completed on the database, it is unavailable to your applications. If restarting IIS fixes the problem, then the problem might not have been inside SQL Server.  Prior to taking this step, you should do analysis of the above mentioned things. If you can think of other reasons why the blog reader is facing this issue a few times a week, I'd love to hear your thoughts via a blog comment.

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  • How to Increase the VMWare Boot Screen Delay

    - by Trevor Bekolay
    If you’ve wanted to try out a bootable CD or USB flash drive in a virtual machine environment, you’ve probably noticed that VMWare’s offerings make it difficult to change the boot device. We’ll show you how to change these options. You can do this either for one boot, or permanently for a particular virtual machine. Even experienced users of VMWare Player or Workstation may not recognize the screen above – it’s the virtual machine’s BIOS, which in most cases flashes by in the blink of an eye. If you want to boot up the virtual machine with a CD or USB key instead of the hard drive, then you’ll need more than an eye’s-blink to press Escape and bring up the Boot Menu. Fortunately, there is a way to introduce a boot delay that isn’t exposed in VMWare’s graphical interface – you have to edit the virtual machine’s settings file (a .vmx file) manually. Editing the Virtual Machine’s .vmx Find the .vmx file that contains the settings for your virtual machine. You chose a location for this when you created the virtual machine – in Windows, the default location is a folder called My Virtual Machines in your My Documents folder. In VMWare Workstation, the location of the .vmx file is listed on the virtual machine’s tab. If in doubt, search your hard drive for .vmx files. If you don’t want to use Windows default search, an awesome utility that locates files instantly is Everything. Open the .vmx file with any text editor. Somewhere in this file, enter in the following line… save the file, then close out of the text editor: bios.bootdelay = 20000 This will introduce a 20 second delay when the virtual machine loads up, giving you plenty of time to press the Escape button and access the boot menu. The number in this line is just a value in milliseconds, so for a five second boot delay, enter 5000, and so on. Change Boot Options Temporarily Now, when you boot up your virtual machine, you’ll have plenty of time to enter one of the keystrokes listed at the bottom of the BIOS screen on boot-up. Press Escape to bring up the Boot Menu. This allows you to select a different device to boot from – like a CD drive. Your selection will be forgotten the next time you boot up this virtual machine. Change Boot Options Permanently When the BIOS screen comes up, press F2 to enter the BIOS Setup menu. Switch to the Boot tab, and change the ordering of the items by pressing the “+” key to move items up on the list, and the “-” key to move items down the list. We’ve switched the order so that the CD-ROM Drive boots first. Once you make this change permanent, you may want to re-edit the .vmx file to remove the boot delay. Boot from a USB Flash Drive One thing that is noticeably missing from the list of boot options is a USB device. VMWare’s BIOS just does not allow this, but we can get around that limitation using the PLoP Boot Manager that we’ve previously written about. And as a bonus, since everything is virtual anyway, there’s no need to actually burn PLoP to a CD. Open the settings for the virtual machine you want to boot with a USB drive. Click on Add… at the bottom of the settings screen, and select CD/DVD Drive. Click Next. Click the Use ISO Image radio button, and click Next. Browse to find plpbt.iso or plpbtnoemul.iso from the PLoP zip file. Ensure that Connect at power on is checked, and then click Finish. Click OK on the main Virtual Machine Settings page. Now, if you use the steps above to boot using that CD/DVD drive, PLoP will load, allowing you to boot from a USB drive! Conclusion We’re big fans of VMWare Player and Workstation, as they let us try out a ton of geeky things without worrying about harming our systems. By introducing a boot delay, we can add bootable CDs and USB drives to the list of geeky things we can try out. Download PLoP Boot Manager Similar Articles Productive Geek Tips How To Switch to Console Mode for Ubuntu VMware GuestHack: Turn Off Debug Mode in VMWare Workstation 6 BetaStart Your Computer More Quickly by Delaying the Startup of a Service in VistaEnable Hidden BootScreen in Windows VistaEnable Copy and Paste from Ubuntu VMware Guest TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 OutlookStatView Scans and Displays General Usage Statistics How to Add Exceptions to the Windows Firewall Office 2010 reviewed in depth by Ed Bott FoxClocks adds World Times in your Statusbar (Firefox) Have Fun Editing Photo Editing with Citrify Outlook Connector Upgrade Error

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  • How big can my SharePoint 2010 installation be?

    - by Sahil Malik
    Ad:: SharePoint 2007 Training in .NET 3.5 technologies (more information). 3 years ago, I had published “How big can my SharePoint 2007 installation be?” Well, SharePoint 2010 has significant under the covers improvements. So, how big can your SharePoint 2010 installation be? There are three kinds of limits you should know about Hard limits that cannot be exceeded by design. Configurable that are, well configurable – but the default values are set for a pretty good reason, so if you need to tweak, plan and understand before you tweak. Soft limits, you can exceed them, but it is not recommended that you do. Before you read any of the limits, read these two important disclaimers - 1. The limit depends on what you’re doing. So, don’t take the below as gospel, the reality depends on your situation. 2. There are many additional considerations in planning your SharePoint solution scalability and performance, besides just the below. So with those in mind, here goes.   Hard Limits - Zones per web app 5 RBS NAS performance Time to first byte of any response from NAS must be less than 20 milliseconds List row size 8000 bytes driven by how SP stores list items internally Max file size 2GB (default is 50MB, configurable). RBS does not increase this limit. Search metadata properties 10,000 per item crawled (pretty damn high, you’ll never need to worry about it). Max # of concurrent in-memory enterprise content types 5000 per web server, per tenant Max # of external system connections 500 per web server PerformancePoint services using Excel services as a datasource No single query can fetch more than 1 million excel cells Office Web Apps Renders One doc per second, per CPU core, per Application server, limited to a maximum of 8 cores.   Configurable Limits - Row Size Limit 6, configurable via SPWebApplication.MaxListItemRowStorage property List view lookup 8 join operations per query Max number of list items that a single operation can process at one time in normal hours 5000 Configurable via SPWebApplication.MaxItemsPerThrottledOperation   Also you get a warning at 3000, which is configurable via SPWebApplication.MaxItemsPerThrottledOperationWarningLevel   In addition, throttle overrides can be requested, throttle overrides can be disabled, and time windows can be set when throttle is disabled. Max number of list items for administrators that a single operation can process at one time in normal hours 20000 Configurable via SPWebApplication.MaxItemsPerThrottledOperationOverride Enumerating subsites 2000 Word and Powerpoint co-authoring simultaneous editors 10 (Hard limit is 99). # of webparts on a page 25 Search Crawl DBs per search service app 10 Items per crawl db 25 million Search Keywords 200 per site collection. There is a max limit of 5000, which can then be modified by editing the web.config/client.config. Concurrent # of workflows on a content db 15. Workflows running in the timer service are not counted in this limit. Further workflows are queued. Can be configured via the Set-SPFarmConfig powershell commandlet. Number of events picked by the workflow timer job and delivered to workflows 100. You can increase this limit by running additional instances of the workflow timer service. Visio services file size 50MB Visio web drawing recalculation timeout 120 seconds Configurable via – Powershell commandlet Set-SPVisioPerformance Visio services minimum and maximum cache age for data connected diagrams 0 to 24 hours. Default is 60 minutes. Configurable via – Powershell commandlet Set-SPVisioPerformance   Soft Limits - Content Databases 300 per web app Application Pools 10 per web server Managed Paths 20 per web app Content Database Size 200GB per Content DB Size of 1 site collection 100GB # of sites in a site collection 250,000 Documents in a library 30 Million, with nesting. Depends heavily on type and usage and size of documents. Items 30 million. Depends heavily on usage of items. SPGroups one SPUser can be in 5000 Users in a site collection 2 million, depends on UI, nesting, containers and underlying user store AD Principals in a SPGroup 5000 SPGroups in a site collection 10000 Search Service Instances 20 Indexed Items in Search 100 million Crawl Log entries 100 million Search Alerts 1 million per search application Search Crawled Properties 1/2 million URL removals in search 100 removals per operation User Profiles 2 million per service application Social Tags 500 million per social database Comment on the article ....

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