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  • How can you replicate each row of an R data.frame and specify the number of replications for each ro

    - by wkmor1
    df <- data.frame(var1=c('a', 'b', 'c'), var2=c('d', 'e', 'f'), freq=1:3) What is the simplest way to expand the first two columns of the data.frame above, so that each row appears the number of times specified in the column 'freq'? In other words, go from this: >df var1 var2 freq 1 a d 1 2 b e 2 3 c f 3 To this: >df.expanded var1 var2 1 a d 2 b e 3 b e 4 c f 5 c f 6 c f

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  • Rights Expiry Options in IRM 11g

    - by martin.abrahams
    Among the many enhancements in IRM 11g, we have introduced a couple of new rights expiry options that may be applied to any role. These options were supported in previous versions, but fell into the "advanced configuration" category. In 11g, the options can be applied simply by selecting a check-box in the properties of a role, as shown by the rather extreme example below, where the role allows access for just two minutes after they are sealed. The new options are: To define a role that expires automatically some period after it is assigned To define a role that evaluates expiry relative to the time that each document is sealed These options supplement the familiar options to allow open-ended access (limited by offline access and the ever-present option to revoke rights at any time) and the option to define time windows with specific start dates and end dates. The value of these options is easiest to illustrate with some publishing examples: You might define a role with a one year expiry to be assigned to users who purchase a one year subscription. For each individual user, the year would be calculated from the time that the role was assigned to them. You might define a role that allows documents to be accessed only for 24 hours from the time that they are published - perhaps as a preview mechanism designed to tempt users to sign up for a full subscription. Upon payment of a full fee, users can simply be reassigned a role that gives them greater access to exactly the same documents. In a corporate environment, you might use such roles for fixed term contractors or for workflows that involve information with a short lifespan, or perhaps as part of a compliance process that requires rights to be formally re-approved at intervals. Being role-based, the time constraints apply to any number of documents - including documents that have not yet been created. For example, a user with a one year subscription would have access to all documents published in the relevant classification during the year without any further configuration. Crucially, unlike other solutions, it is not the documents that expire, but the rights of particular users. Whereas some solutions make documents completely inaccessible for all users after expiry, Oracle IRM can allow some users to continue using documents while other users lose access. Equally crucially, a user whose rights have expired can always be granted fresh rights at any time - for example, because they renew their subscription or because a manager confirms that they still need the rights as part of a corporate compliance process. By applying expiry to rights rather than to documents, Oracle IRM avoids the risk of locking an organization out of its own information.

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  • Convert ddply {plyr} to Oracle R Enterprise, or use with Embedded R Execution

    - by Mark Hornick
    The plyr package contains a set of tools for partitioning a problem into smaller sub-problems that can be more easily processed. One function within {plyr} is ddply, which allows you to specify subsets of a data.frame and then apply a function to each subset. The result is gathered into a single data.frame. Such a capability is very convenient. The function ddply also has a parallel option that if TRUE, will apply the function in parallel, using the backend provided by foreach. This type of functionality is available through Oracle R Enterprise using the ore.groupApply function. In this blog post, we show a few examples from Sean Anderson's "A quick introduction to plyr" to illustrate the correpsonding functionality using ore.groupApply. To get started, we'll create a demo data set and load the plyr package. set.seed(1) d <- data.frame(year = rep(2000:2014, each = 3),         count = round(runif(45, 0, 20))) dim(d) library(plyr) This first example takes the data frame, partitions it by year, and calculates the coefficient of variation of the count, returning a data frame. # Example 1 res <- ddply(d, "year", function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(cv.count = cv)   }) To illustrate the equivalent functionality in Oracle R Enterprise, using embedded R execution, we use the ore.groupApply function on the same data, but pushed to the database, creating an ore.frame. The function ore.push creates a temporary table in the database, returning a proxy object, the ore.frame. D <- ore.push(d) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(year=x$year[1], cv.count = cv)   }, FUN.VALUE=data.frame(year=1, cv.count=1)) You'll notice the similarities in the first three arguments. With ore.groupApply, we augment the function to return the specific data.frame we want. We also specify the argument FUN.VALUE, which describes the resulting data.frame. From our previous blog posts, you may recall that by default, ore.groupApply returns an ore.list containing the results of each function invocation. To get a data.frame, we specify the structure of the result. The results in both cases are the same, however the ore.groupApply result is an ore.frame. In this case the data stays in the database until it's actually required. This can result in significant memory and time savings whe data is large. R> class(res) [1] "ore.frame" attr(,"package") [1] "OREbase" R> head(res)    year cv.count 1 2000 0.3984848 2 2001 0.6062178 3 2002 0.2309401 4 2003 0.5773503 5 2004 0.3069680 6 2005 0.3431743 To make the ore.groupApply execute in parallel, you can specify the argument parallel with either TRUE, to use default database parallelism, or to a specific number, which serves as a hint to the database as to how many parallel R engines should be used. The next ddply example uses the summarise function, which creates a new data.frame. In ore.groupApply, the year column is passed in with the data. Since no automatic creation of columns takes place, we explicitly set the year column in the data.frame result to the value of the first row, since all rows received by the function have the same year. # Example 2 ddply(d, "year", summarise, mean.count = mean(count)) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   data.frame(year=x$year[1], mean.count = mean.count)   }, FUN.VALUE=data.frame(year=1, mean.count=1)) R> head(res)    year mean.count 1 2000 7.666667 2 2001 13.333333 3 2002 15.000000 4 2003 3.000000 5 2004 12.333333 6 2005 14.666667 Example 3 uses the transform function with ddply, which modifies the existing data.frame. With ore.groupApply, we again construct the data.frame explicilty, which is returned as an ore.frame. # Example 3 ddply(d, "year", transform, total.count = sum(count)) res <- ore.groupApply (D, D$year, function(x) {   total.count <- sum(x$count)   data.frame(year=x$year[1], count=x$count, total.count = total.count)   }, FUN.VALUE=data.frame(year=1, count=1, total.count=1)) > head(res)    year count total.count 1 2000 5 23 2 2000 7 23 3 2000 11 23 4 2001 18 40 5 2001 4 40 6 2001 18 40 In Example 4, the mutate function with ddply enables you to define new columns that build on columns just defined. Since the construction of the data.frame using ore.groupApply is explicit, you always have complete control over when and how to use columns. # Example 4 ddply(d, "year", mutate, mu = mean(count), sigma = sd(count),       cv = sigma/mu) res <- ore.groupApply (D, D$year, function(x) {   mu <- mean(x$count)   sigma <- sd(x$count)   cv <- sigma/mu   data.frame(year=x$year[1], count=x$count, mu=mu, sigma=sigma, cv=cv)   }, FUN.VALUE=data.frame(year=1, count=1, mu=1,sigma=1,cv=1)) R> head(res)    year count mu sigma cv 1 2000 5 7.666667 3.055050 0.3984848 2 2000 7 7.666667 3.055050 0.3984848 3 2000 11 7.666667 3.055050 0.3984848 4 2001 18 13.333333 8.082904 0.6062178 5 2001 4 13.333333 8.082904 0.6062178 6 2001 18 13.333333 8.082904 0.6062178 In Example 5, ddply is used to partition data on multiple columns before constructing the result. Realizing this with ore.groupApply involves creating an index column out of the concatenation of the columns used for partitioning. This example also allows us to illustrate using the ORE transparency layer to subset the data. # Example 5 baseball.dat <- subset(baseball, year > 2000) # data from the plyr package x <- ddply(baseball.dat, c("year", "team"), summarize,            homeruns = sum(hr)) We first push the data set to the database to get an ore.frame. We then add the composite column and perform the subset, using the transparency layer. Since the results from database execution are unordered, we will explicitly sort these results and view the first 6 rows. BB.DAT <- ore.push(baseball) BB.DAT$index <- with(BB.DAT, paste(year, team, sep="+")) BB.DAT2 <- subset(BB.DAT, year > 2000) X <- ore.groupApply (BB.DAT2, BB.DAT2$index, function(x) {   data.frame(year=x$year[1], team=x$team[1], homeruns=sum(x$hr))   }, FUN.VALUE=data.frame(year=1, team="A", homeruns=1), parallel=FALSE) res <- ore.sort(X, by=c("year","team")) R> head(res)    year team homeruns 1 2001 ANA 4 2 2001 ARI 155 3 2001 ATL 63 4 2001 BAL 58 5 2001 BOS 77 6 2001 CHA 63 Our next example is derived from the ggplot function documentation. This illustrates the use of ddply within using the ggplot2 package. We first create a data.frame with demo data and use ddply to create some statistics for each group (gp). We then use ggplot to produce the graph. We can take this same code, push the data.frame df to the database and invoke this on the database server. The graph will be returned to the client window, as depicted below. # Example 6 with ggplot2 library(ggplot2) df <- data.frame(gp = factor(rep(letters[1:3], each = 10)),                  y = rnorm(30)) # Compute sample mean and standard deviation in each group library(plyr) ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y)) # Set up a skeleton ggplot object and add layers: ggplot() +   geom_point(data = df, aes(x = gp, y = y)) +   geom_point(data = ds, aes(x = gp, y = mean),              colour = 'red', size = 3) +   geom_errorbar(data = ds, aes(x = gp, y = mean,                                ymin = mean - sd, ymax = mean + sd),              colour = 'red', width = 0.4) DF <- ore.push(df) ore.tableApply(DF, function(df) {   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4) }) But let's take this one step further. Suppose we wanted to produce multiple graphs, partitioned on some index column. We replicate the data three times and add some noise to the y values, just to make the graphs a little different. We also create an index column to form our three partitions. Note that we've also specified that this should be executed in parallel, allowing Oracle Database to control and manage the server-side R engines. The result of ore.groupApply is an ore.list that contains the three graphs. Each graph can be viewed by printing the list element. df2 <- rbind(df,df,df) df2$y <- df2$y + rnorm(nrow(df2)) df2$index <- c(rep(1,300), rep(2,300), rep(3,300)) DF2 <- ore.push(df2) res <- ore.groupApply(DF2, DF2$index, function(df) {   df <- df[,1:2]   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4)   }, parallel=TRUE) res[[1]] res[[2]] res[[3]] To recap, we've illustrated how various uses of ddply from the plyr package can be realized in ore.groupApply, which affords the user explicit control over the contents of the data.frame result in a straightforward manner. We've also highlighted how ddply can be used within an ore.groupApply call.

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  • Precise exposition of an image for set number of frames (Vsync?)

    - by Istrebitel
    I need to make a simple enough program in C#, but it seems to be impossible via usual WinForms means. I need to show something (a string of text, an image) on the screen for very small time interval. Since typical monitors are 60Hz, this interval would be 1 or 2 frames (16,6 or 33,3 ms). I tried doing this with usual WinForms, and it is not possible because, apparently, there is no way to know how many frames were output to the monitor since some point in time. I can only draw on the controls, and monitor output is totally independant. So even if I run the timer, say, for 17 ms, between showing and hiding the image, it still sometimes manages not to draw a single frame of my image on the screen (even though theoretically it should, because 17ms 16,6ms). Moreover, even 20ms seems to slow (even though i should be more than enough). I did some game development as a hobby in the past (Delphi X, XNA) and I know that you usually draw the whole screen by yourself, each frame. Also, I know that there is an option called Vsync in most modern games, that allows you to synchronize your framerate to your monitor's frame rate. So, is it possible? I mean, to actually know how many frames were sent to the monitor with w/e I want to show?

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  • BizTalk Server 2009 - Architecture Options

    - by StuartBrierley
    I recently needed to put forward a proposal for a BizTalk 2009 implementation and as a part of this needed to describe some of the basic architecture options available for consideration.  While I already had an idea of the type of environment that I would be looking to recommend, I felt that presenting a range of options while trying to explain some of the strengths and weaknesses of those options was a good place to start.  These outline architecture options should be equally valid for any version of BizTalk Server from 2004, through 2006 and R2, up to 2009.   The following diagram shows a crude representation of the common implementation options to consider when designing a BizTalk environment.         Each of these options provides differing levels of resilience in the case of failure or disaster, with the later options also providing more scope for performance tuning and scalability.   Some of the options presented above make use of clustering. Clustering may best be described as a technology that automatically allows one physical server to take over the tasks and responsibilities of another physical server that has failed. Given that all computer hardware and software will eventually fail, the goal of clustering is to ensure that mission-critical applications will have little or no downtime when such a failure occurs. Clustering can also be configured to provide load balancing, which should generally lead to performance gains and increased capacity and throughput.   (A) Single Servers   This option is the most basic BizTalk implementation that should be considered. It involves the deployment of a single BizTalk server in conjunction with a single SQL server. This configuration does not provide for any resilience in the case of the failure of either server. It is however the cheapest and easiest to implement option of those available.   Using a single BizTalk server does not provide for the level of performance tuning that is otherwise available when using more than one BizTalk server in a cluster.   The common edition of BizTalk used in single server implementations is the standard edition. It should be noted however that if future demand requires increased capacity for a solution, this BizTalk edition is limited to scaling up the implementation and not scaling out the number of servers in use. Any need to scale out the solution would require an upgrade to the enterprise edition of BizTalk.   (B) Single BizTalk Server with Clustered SQL Servers   This option uses a single BizTalk server with a cluster of SQL servers. By utilising clustered SQL servers we can ensure that there is some resilience to the implementation in respect of the databases that BizTalk relies on to operate. The clustering of two SQL servers is possible with the standard edition but to go beyond this would require the enterprise level edition. While this option offers improved resilience over option (A) it does still present a potential single point of failure at the BizTalk server.   Using a single BizTalk server does not provide for the level of performance tuning that is otherwise available when using more than one BizTalk server in a cluster.   The common edition of BizTalk used in single server implementations is the standard edition. It should be noted however that if future demand requires increased capacity for a solution, this BizTalk edition is limited to scaling up the implementation and not scaling out the number of servers in use. You are also unable to take advantage of multiple message boxes, which would allow us to balance the SQL load in the event of any bottlenecks in this area of the implementation. Any need to scale out the solution would require an upgrade to the enterprise edition of BizTalk.   (C) Clustered BizTalk Servers with Clustered SQL Servers   This option makes use of a cluster of BizTalk servers with a cluster of SQL servers to offer high availability and resilience in the case of failure of either of the server types involved. Clustering of BizTalk is only available with the enterprise edition of the product. Clustering of two SQL servers is possible with the standard edition but to go beyond this would require the enterprise level edition.    The use of a BizTalk cluster also provides for the ability to balance load across the servers and gives more scope for performance tuning any implemented solutions. It is also possible to add more BizTalk servers to an existing cluster, giving scope for scaling out the solution as future demand requires.   This might be seen as the middle cost option, providing a good level of protection in the case of failure, a decent level of future proofing, but at a higher cost than the single BizTalk server implementations.   (D) Clustered BizTalk Servers with Clustered SQL Servers – with disaster recovery/service continuity   This option is similar to that offered by (C) and makes use of a cluster of BizTalk servers with a cluster of SQL servers to offer high availability and resilience in case of failure of either of the server types involved. Clustering of BizTalk is only available with the enterprise edition of the product. Clustering of two SQL servers is possible with the standard edition but to go beyond this would require the enterprise level edition.    As with (C) the use of a BizTalk cluster also provides for the ability to balance load across the servers and gives more scope for performance tuning the implemented solution. It is also possible to add more BizTalk servers to an existing cluster, giving scope for scaling the solution out as future demand requires.   In this scenario however, we would be including some form of disaster recovery or service continuity. An example of this would be making use of multiple sites, with the BizTalk server cluster operating across sites to offer resilience in case of the loss of one or more sites. In this scenario there are options available for the SQL implementation depending on the network implementation; making use of either one cluster per site or a single SQL cluster across the network. A multi-site SQL implementation would require some form of data replication across the sites involved.   This is obviously an expensive and complex option, but does provide an extraordinary amount of protection in the case of failure.

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  • Time based movement Vs Frame rate based movement?

    - by sil3nt
    Hello there, I'm new to Game programmming and SDL, and I have been following Lazyfoo's SDL tutorials. My question is related to time based motion and frame rate based motion, basically which is better or appropriate depending on situations?. Could you give me an example where each of these methods are used?. Another question I have is that, in lazyfoo's two Motion tutorials (FPS based and time based) The time based method showed a much smoother animation while the Frame rate based one was a little hiccupy, meaning you could clearly see the gap between the previous location of the dot and its current position when you compare the two programs. As beginner which method should I stick to?(all I want is smooth animations).

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  • Disabling depth write trashes the frame buffer on some GPUs

    - by EboMike
    I sometimes disable depth buffer writing via glDepthMask(GL_FALSE) during the alpha rendering of a frame. That works perfectly fine on some GPUs (like the Motorola Droid's PowerVR), but on the HTC EVO with the Adreno GPU for example, I end up with the frame buffer being complete garbage (I see traces of the meshes I rendered somewhere, but the entire screen is mostly trashed). If I force glDepthMask to be true the entire time, everything works fine. I need glDepthMask to be off during parts of the alpha rendering. What can cause the framebuffer to get destroyed by turning the depth writing off? I do clear the depth buffer initially, and the majority of the screen has pixels rendered with depth writing turned on first before I do additional drawing with it turned off.

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  • Correct order of tasks in each frame for a Physics simulation

    - by Johny
    I'm playing a bit around with 2D physics. I created now some physic blocks which should collide with each other. This works fine "mostly" but sometimes one of the blocks does not react to a collision and i think that's because of my order of tasks done in each frame. At the moment it looks something like this: function GameFrame(){ foreach physicObject do AddVelocityToPosition(); DoCollisionStuff(); // Only for this object not to forget! AddGravitationToVelocity(); end RedrawScene(); } Is this the correct order of tasks in each frame?

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  • Why is the framerate (fps) capped at 60?

    - by dennmat
    ISSUE I recently moved a project from my laptop to my desktop(machine info below). On my laptop the exact same code displays the fps(and ms/f) correctly. On my desktop it does not. What I mean by this is on the laptop it will display 300 fps(for example) where on my desktop it will show only up to 60. If I add 100 objects to the game on the laptop I'll see my frame rate drop accordingly; the same test on the desktop results in no change and the frames stay at 60. It takes a lot(~300) entities before I'll see a frame drop on the desktop, then it will descend. It seems as though its "theoretical" frames would be 400 or 500 but will never actually get to that and only do 60 until there's too much to handle at 60. This 60 frame cap is coming from no where. I'm not doing any frame limiting myself. It seems like something external is limiting my loop iterations on the desktop, but for the last couple days I've been scratching my head trying to figure out how to debug this. SETUPS Desktop: Visual Studio Express 2012 Windows 7 Ultimate 64-bit Laptop: Visual Studio Express 2010 Windows 7 Ultimate 64-bit The libraries(allegro, box2d) are the same versions on both setups. CODE Main Loop: while(!abort) { frameTime = al_get_time(); if (frameTime - lastTime >= 1.0) { lastFps = fps/(frameTime - lastTime); lastTime = frameTime; avgMspf = cumMspf/fps; cumMspf = 0.0; fps = 0; } /** DRAWING/UPDATE CODE **/ fps++; cumMspf += al_get_time() - frameTime; } Note: There is no blocking code in the loop at any point. Where I'm at My understanding of al_get_time() is that it can return different resolutions depending on the system. However the resolution is never worse than seconds, and the double is represented as [seconds].[finer-resolution] and seeing as I'm only checking for a whole second al_get_time() shouldn't be responsible. My project settings and compiler options are the same. And I promise its the same code on both machines. My googling really didn't help me much, and although technically it's not that big of a deal. I'd really like to figure this out or perhaps have it explained, whichever comes first. Even just an idea of how to go about figuring out possible causes, because I'm out of ideas. Any help at all is greatly appreciated. EDIT: Thanks All. For any others that find this to disable vSync(windows only) in opengl: First get "wglext.h". It's all over the web. Then you can use a tool like GLee or just write your own quick extensions manager like: bool WGLExtensionSupported(const char *extension_name) { PFNWGLGETEXTENSIONSSTRINGEXTPROC _wglGetExtensionsStringEXT = NULL; _wglGetExtensionsStringEXT = (PFNWGLGETEXTENSIONSSTRINGEXTPROC) wglGetProcAddress("wglGetExtensionsStringEXT"); if (strstr(_wglGetExtensionsStringEXT(), extension_name) == NULL) { return false; } return true; } and then create and setup your function pointers: PFNWGLSWAPINTERVALEXTPROC wglSwapIntervalEXT = NULL; PFNWGLGETSWAPINTERVALEXTPROC wglGetSwapIntervalEXT = NULL; if (WGLExtensionSupported("WGL_EXT_swap_control")) { // Extension is supported, init pointers. wglSwapIntervalEXT = (PFNWGLSWAPINTERVALEXTPROC) wglGetProcAddress("wglSwapIntervalEXT"); // this is another function from WGL_EXT_swap_control extension wglGetSwapIntervalEXT = (PFNWGLGETSWAPINTERVALEXTPROC) wglGetProcAddress("wglGetSwapIntervalEXT"); } Then just call wglSwapIntervalEXT(0) to disable vSync and 1 to enable vSync. I found the reason this is windows only is that openGl actually doesn't deal with anything other than rendering it leaves the rest up to the OS and Hardware. Thanks everyone saved me a lot of time!

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  • How to play 24 fps video smoothly on a 60Hz display? (or which player supports frame interpolation?)

    - by netvope
    I use mpc-hc to play videos on Win7 x64. With the default settings (#1), video playback is great most of the time. But for panning shots, playback is not smooth. I stepped through the video frame by frame and found that the panning movement is smooth (e.g. each frame shifts horizontally by 10 pixels), so the problem is how the 23.976 fps video is interpolated to 60Hz. The judder looks like what would be caused by a "2:3 pulldown", where the frames are played unevenly like: frame 1, 1, 2, 2, 2, 3, 3, 4, 4, 4, etc (#2) Using "optimal renderer settings" (#3) instead of the default disables the Aero theme and causes tearing. Setting my LCD display to 50Hz may have improved the judder slightly (but I can't really tell). My display does not support 24Hz or 48Hz, and forcing them in the Nvidia control panel gives blurry screen. I've tried other video players (VLC and KMPlayer), the ReClock Directshow Filter, video files from different sources (#4), turning on/off DXVA, and a computer with a different GPU, but the judder in the playback is similar. None of them solved the problem. So, how can I play 23.976 or 24 fps video smoothly on a 60Hz display? I think a video player could make the video smoother by doing linear interpolation, such as: 1. 100% frame 1 2. 60% frame 1 + 40% frame 2 3. 20% frame 1 + 80% frame 2 4. 80% frame 2 + 20% frame 3 5. 40% frame 2 + 60% frame 3 6. 100% frame 3 7. 60% frame 3 + 40% frame 4 .. etc Can any existing video player do this? Footnotes: (#1) Video renderer: EVR Custom Pres. (#2) This example converts a 24 fps video into 30 fps (#3) View Renderer settings Reset Reset to optimal renderer settings (#4) The files I have are all H.264 mkv files, but I don't think the file format/encoding matters.

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  • OpenGL 3.0+ framebuffer to texture/images

    - by user827992
    I need a way to capture what is rendered on screen, i have read about glReadPixels but it looks really slow. Can you suggest a more efficient or just an alternative way for just copying what is rendered by OpenGL 3.0+ to the local RAM and in general to output this in a image or in a data stream? How i can achieve the same goal with OpenGL ES 2.0 ? EDIT: i just forgot: with this OpenGL functions how i can be sure that I'm actually reading a complete frame, meaning that there is no overlapping between 2 frames or any nasty side effect I'm actually reading the frame that comes right next to the previous one so i do not lose frames

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  • Google Fonts API JSON Data in WordPress Options-Framework-Theme

    - by Rob
    I'm developing a child-theme off of the new Twenty Twelve theme using Wordpress 3.4.2 and the development version of the Options Theme Framework by Devin Price. In Devin's tutorial, it shows of a way to implement 15 Google Web Fonts into the Theme Options page, but not all of them (roughly 560). I know I can create a "manual list", like in the tutorial that states each one with fallbacks, but this is time consuming and unproductive as Google may or may not add to, update, change or remove some of these fonts from their list. The list I've created above will ultimately store unavailable fonts the user thinks is there because of what they can see in the drop-down menu and it won't have any new ones - making the list and some selections obsolete. On the Google Developer API Web Fonts page, it talks briefly on retrieving a "dynamic list" using JSON/JavaScript. I was wondering how would I be able to pull the Google Web Fonts API into my Wordpress Theme Options page so I'm not creating my own list or have to constantly release an update to solve this issue. Could someone please walk me through what I would need to paste into my options.php, functions.php, /inc/options-framework.php file etc. or even in a new one to implement this? I've also had a look into some screencasts, plugins and tutorials on how it works, but none of them are specific enough for people just starting out. Please keep in mind I'm not the best coder... Thank you.

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  • An XEvent a Day (26 of 31) – Configuring Session Options

    - by Jonathan Kehayias
    There are 7 Session level options that can be configured in Extended Events that affect the way an Event Session operates.  These options can impact performance and should be considered when configuring an Event Session.  I have made use of a few of these periodically throughout this months blog posts, and in today’s blog post I’ll cover each of the options separately, and provide further information about their usage.  Mike Wachal from the Extended Events team at Microsoft, talked...(read more)

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  • New DataCenter Options for Windows Azure

    - by ScottKlein
    Effective immediately, new compute and storage resource options are now available when selecting data center options in the Windows Azure Portal. "West US" and "East US" options are now available, for Compute and Storage. SQL Azure options for these two data centers will be available in the next few months. The official announcement can be found here.In terms of geo-replication:US East and West are paired together for Windows Azure Storage geo-replicationUS North and South are paired together for Windows Azure Storage geo-replicationThese two new data centers are now visible in the Windows Azure Management Portal effective immediately. Compute and Storage pricing remains the same across all data centers. Get started with Windows Azure through the free 90 day trial.

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  • How to get IIS6 to respond to the OPTIONS verb?

    - by puffpio
    I have a WCF webservice hosted in IIS6 that another site will POST to in a cross domain manner using jquery. Because it is a cross domain POST, the browser first sends an OPTIONS verb with Access-Control-Request-Method: POST However, IIS6 does not respond back with anything. Is this something that I need to handle at a web service level or something at the IIS level?

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  • Animation API vs frame animation

    - by Max
    I'm pretty far down the road in my game right now, closing in on the end. And I'm adding little tweaks here and there. I used custom frame animation of a single image with many versions of my sprite on it, and controlled which part of the image to show using rectangles. But I'm starting to think that maybe I should've used the Animation API that comes with android instead. Will this effect my performance in a negative way? Can I still use rectangles to draw my bitmap? Could I add effects from the Animation API to my current frame-controlled animation? like the fadeout-effect etc? this would mean I wont have to change my current code. I want some of my animations to fade out, and just noticed that using the Animation API makes things alot easier. But needless to say, I would prefer not having to change all my animation-code. I'm bad at explaining, so Ill show a bit of how I do my animation: private static final int BMP_ROWS = 1; //I use top-view so only need my sprite to have 1 direction private static final int BMP_COLUMNS = 3; public void update(GameControls controls) { if (sprite.isMoving) { currentFrame = ++currentFrame % BMP_COLUMNS; } else { this.setFrame(1); } } public void draw(Canvas canvas, int x, int y, float angle) { this.x=x; this.y=y; canvas.save(); canvas.rotate(angle , x + width / 2, y + height / 2); int srcX = currentFrame * width; int srcY = 0 * height; Rect src = new Rect(srcX, srcY, srcX + width, srcY + height); Rect dst = new Rect(x, y, x + width, y + height); canvas.drawBitmap(bitmap, src, dst, null); canvas.restore(); }

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  • IPhone sdk, more accurate collision detection and set the frame/bounds of UIImageView...

    - by Harry
    Hey, Im having a big problem with my app at the moment, its all too inaccurate. I have a image of a ballooon, https://dl.dropbox.com/u/2578642/Balloonedit.png And i have a dart which if it collides into the balloon the game ends. At the moment i am populating the image of the balloon with 8 UIImageViews. and i am detecting if the dart hits them, this was suppose to make it really accurate but its not, the dart pretty much passes through the balloon when its meant to collide, so i have a plan, is there any way to detect when the dart hits the actual image of the balloon not the UIImageView, or is there any way to draw a border around the balloon and detect if it hits that? currently i am using this code to detect the collision: if (CGRectIntersectsRect(pinend.frame, balloonbit1.frame)){ [maintimer invalidate]; accelManeger.delegate = nil; [ball setImage:img]; [UIImageView beginAnimations:nil context:NULL]; [UIImageView setAnimationDuration:0.3]; ball.transform = CGAffineTransformMakeScale(2, 2); [UIImageView commitAnimations]; } So in one method there are 40 of these bits of code and as you can imagine it is not very accurate/fast to respond. So like i said is there a way to draw a border or something around the balloon and detect the collision between the border and dart? Because then i would imagine it would run a lot smother because it would only have to process 5 bits of code. Thanks for any help. This is a big Question so if you can answer it i will buy your app :) Cheers, Harry :/

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  • How to display and change an icon inside a python Tk Frame

    - by codingJoe
    I have a python Tkinter Frame that displays several fields. I want to also add an red/yellow/green icon that will display the status of an external device. The icon is loaded from a file called ICON_LED_RED.ico. How do I display the icon in my frame? How do I change the icon at runtime? for example replace BitmapImage('RED.ico') with BitmapImage('GREEN.ico') class Application(Frame): def init(self, master=None): Frame.__init__(self, master) self.pack() self.createWidgets() def createWidgets(self): # ...other frame code.. works just fine. self.OKBTN = Button(self) self.OKBTN["text"] = "OK" self.OKBTN["fg"] = "red" self.OKBTN["command"] = self.ok_btn_func self.OKBTN.pack({"side": "left"}) # when I add the following the frame window is not visible # The process is locked up such that I have to do a kill -9 self.statusFrame = Frame(self, bd=2, relief=RIDGE) Label(self.statusFrame, text='Status:').pack(side=LEFT, padx=5) self.statIcon = BitmapImage('data/ICON_LED_RED.ico') Label (self.statusFrame, image=self.statIcon ).grid() self.statusFrame.pack(expand=1, fill=X, pady=10, padx=5)

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  • TCP RST right after FIN/ACK

    - by Nitzan Shaked
    I am having the weirdest issue: I have a web server which sometimes, only on very specific requests, will send a RST to the client after having sent the FIN datagram. First, a description of the setup: The server runs on an Ubuntu 12.04.1 LTS, which itself is a VM guest inside a Win7 x64 host, in bridged mode. ufw is disabled on the host The client runs on a iOS simulator, which runs on OS X Mountain Lion, which is a VM guest (hackintosh) inside a Win7 x64 host, in bridged mode. Both client and server are on the same LAN, one is connected to the home router via an Ethernet cable, and then other thru WiFi. I happened to glimpse over the server's http logs and found that the client sometimes issuing multiple subsequent identical requests. Further investigation led me to discover that this happens when the server sends a RST, and that the client is simply re-trying. I am attaching several tcpdump's: Good1 is the server-side tcpdump of a good session ("good" meaning no RST was generated). Good3 is another sever-side tcpdump of a good session. (The difference between Good1 and Good3 is the order in which ACK's were sent from the server to the client, ACK'ing the client's request. The client's request arives in 2 segements (specifically: one for the http headers, and another for a body containing an empty json object, "{}"). In Good1, the server ACK's both request segments, using 2 ACK segments, after the second request has arrived. In Good3, the server ACK's each request segment with an ACK segment as soon as the request segment arrives. Not that it should make a difference.) Bad1 is a dump, both client- and server-side, of a bad session. Bad2 is another bad session, this time server-side only. Note that in all "bad" sessions, the server ACK's each request segments immediately after having received it. I've looked at a few other bad sessions, and the situation is the same in all of them. But this is also the behavior in "Good3", so I don't see how that observation helps me, of for that matter why it should matter. I can't find any difference between good and bad sessions, or at least one that I think should matter. My question is: why are those RST's being generated? Or at least: how do I go about debugging this, or providing more info here that'll help? Edit 2 new facts that I have learned: Section 4.2.2.13 of the RFC (1122) (and Wikipedia, in the article "TCP", under "Connection Termination") says that a TCP application on one host may close the connection before it has read all of the data in its socket buffer, and in such a case the TCP on the host will sent a RST to the other side, to let it know that not all the data it has sent has been read. I'm not sure I completely understand this, since closing my side of the connection still allows me to read, no? It also means that I can't write any more. I am not sure this is relevant, though, since I see a RST after FIN. There are multiple complaints of this happening with wsgiref (Python's dev-mode HTTP server), which is exactly what I'm using. I'll keep updating as I find out more. Thanks! ~~~~~~~~~~~~~~~~~~~~ Good1 -- Server Side ~~~~~~~~~~~~~~~~~~~~ 13:28:02.308319 IP 192.168.1.51.51479 > 192.168.1.132.5000: Flags [S], seq 94268074, win 65535, options [mss 1460,nop,wscale 4,nop,nop,TS val 943308864 ecr 0,sackOK,eol], length 0 13:28:02.308336 IP 192.168.1.132.5000 > 192.168.1.51.51479: Flags [S.], seq 1726304574, ack 94268075, win 14480, options [mss 1460,sackOK,TS val 326480982 ecr 943308864,nop,wscale 3], length 0 13:28:02.309750 IP 192.168.1.51.51479 > 192.168.1.132.5000: Flags [.], ack 1, win 8235, options [nop,nop,TS val 943308865 ecr 326480982], length 0 13:28:02.310744 IP 192.168.1.51.51479 > 192.168.1.132.5000: Flags [P.], seq 1:351, ack 1, win 8235, options [nop,nop,TS val 943308865 ecr 326480982], length 350 13:28:02.310766 IP 192.168.1.51.51479 > 192.168.1.132.5000: Flags [P.], seq 351:353, ack 1, win 8235, options [nop,nop,TS val 943308865 ecr 326480982], length 2 13:28:02.310841 IP 192.168.1.132.5000 > 192.168.1.51.51479: Flags [.], ack 351, win 1944, options [nop,nop,TS val 326480983 ecr 943308865], length 0 13:28:02.310918 IP 192.168.1.132.5000 > 192.168.1.51.51479: Flags [.], ack 353, win 1944, options [nop,nop,TS val 326480983 ecr 943308865], length 0 13:28:02.315931 IP 192.168.1.132.5000 > 192.168.1.51.51479: Flags [P.], seq 1:18, ack 353, win 1944, options [nop,nop,TS val 326480984 ecr 943308865], length 17 13:28:02.316107 IP 192.168.1.132.5000 > 192.168.1.51.51479: Flags [FP.], seq 18:684, ack 353, win 1944, options [nop,nop,TS val 326480984 ecr 943308865], length 666 13:28:02.317651 IP 192.168.1.51.51479 > 192.168.1.132.5000: Flags [.], ack 18, win 8234, options [nop,nop,TS val 943308872 ecr 326480984], length 0 13:28:02.318288 IP 192.168.1.51.51479 > 192.168.1.132.5000: Flags [.], ack 685, win 8192, options [nop,nop,TS val 943308872 ecr 326480984], length 0 13:28:02.318640 IP 192.168.1.51.51479 > 192.168.1.132.5000: Flags [F.], seq 353, ack 685, win 8192, options [nop,nop,TS val 943308872 ecr 326480984], length 0 13:28:02.318651 IP 192.168.1.132.5000 > 192.168.1.51.51479: Flags [.], ack 354, win 1944, options [nop,nop,TS val 326480985 ecr 943308872], length 0 ~~~~~~~~~~~~~~~~~~~~ Good3 -- Server Side ~~~~~~~~~~~~~~~~~~~~ 13:28:03.311143 IP 192.168.1.51.51486 > 192.168.1.132.5000: Flags [S], seq 1982901126, win 65535, options [mss 1460,nop,wscale 4,nop,nop,TS val 943309853 ecr 0,sackOK,eol], length 0 13:28:03.311155 IP 192.168.1.132.5000 > 192.168.1.51.51486: Flags [S.], seq 2245063571, ack 1982901127, win 14480, options [mss 1460,sackOK,TS val 326481233 ecr 943309853,nop,wscale 3], length 0 13:28:03.312671 IP 192.168.1.51.51486 > 192.168.1.132.5000: Flags [.], ack 1, win 8235, options [nop,nop,TS val 943309854 ecr 326481233], length 0 13:28:03.313330 IP 192.168.1.51.51486 > 192.168.1.132.5000: Flags [P.], seq 1:351, ack 1, win 8235, options [nop,nop,TS val 943309855 ecr 326481233], length 350 13:28:03.313337 IP 192.168.1.132.5000 > 192.168.1.51.51486: Flags [.], ack 351, win 1944, options [nop,nop,TS val 326481234 ecr 943309855], length 0 13:28:03.313342 IP 192.168.1.51.51486 > 192.168.1.132.5000: Flags [P.], seq 351:353, ack 1, win 8235, options [nop,nop,TS val 943309855 ecr 326481233], length 2 13:28:03.313346 IP 192.168.1.132.5000 > 192.168.1.51.51486: Flags [.], ack 353, win 1944, options [nop,nop,TS val 326481234 ecr 943309855], length 0 13:28:03.327942 IP 192.168.1.132.5000 > 192.168.1.51.51486: Flags [P.], seq 1:18, ack 353, win 1944, options [nop,nop,TS val 326481237 ecr 943309855], length 17 13:28:03.328253 IP 192.168.1.132.5000 > 192.168.1.51.51486: Flags [FP.], seq 18:684, ack 353, win 1944, options [nop,nop,TS val 326481237 ecr 943309855], length 666 13:28:03.329076 IP 192.168.1.51.51486 > 192.168.1.132.5000: Flags [.], ack 18, win 8234, options [nop,nop,TS val 943309868 ecr 326481237], length 0 13:28:03.329688 IP 192.168.1.51.51486 > 192.168.1.132.5000: Flags [.], ack 685, win 8192, options [nop,nop,TS val 943309868 ecr 326481237], length 0 13:28:03.330361 IP 192.168.1.51.51486 > 192.168.1.132.5000: Flags [F.], seq 353, ack 685, win 8192, options [nop,nop,TS val 943309869 ecr 326481237], length 0 13:28:03.330370 IP 192.168.1.132.5000 > 192.168.1.51.51486: Flags [.], ack 354, win 1944, options [nop,nop,TS val 326481238 ecr 943309869], length 0 ~~~~~~~~~~~~~~~~~~~~ Bad1 -- Server Side ~~~~~~~~~~~~~~~~~~~~ 13:28:01.311876 IP 192.168.1.51.51472 > 192.168.1.132.5000: Flags [S], seq 920400580, win 65535, options [mss 1460,nop,wscale 4,nop,nop,TS val 943307883 ecr 0,sackOK,eol], length 0 13:28:01.311896 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [S.], seq 3103085782, ack 920400581, win 14480, options [mss 1460,sackOK,TS val 326480733 ecr 943307883,nop,wscale 3], length 0 13:28:01.313509 IP 192.168.1.51.51472 > 192.168.1.132.5000: Flags [.], ack 1, win 8235, options [nop,nop,TS val 943307884 ecr 326480733], length 0 13:28:01.315614 IP 192.168.1.51.51472 > 192.168.1.132.5000: Flags [P.], seq 1:351, ack 1, win 8235, options [nop,nop,TS val 943307886 ecr 326480733], length 350 13:28:01.315727 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [.], ack 351, win 1944, options [nop,nop,TS val 326480734 ecr 943307886], length 0 13:28:01.316229 IP 192.168.1.51.51472 > 192.168.1.132.5000: Flags [P.], seq 351:353, ack 1, win 8235, options [nop,nop,TS val 943307886 ecr 326480733], length 2 13:28:01.316242 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [.], ack 353, win 1944, options [nop,nop,TS val 326480734 ecr 943307886], length 0 13:28:01.321019 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [P.], seq 1:18, ack 353, win 1944, options [nop,nop,TS val 326480735 ecr 943307886], length 17 13:28:01.321294 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [FP.], seq 18:684, ack 353, win 1944, options [nop,nop,TS val 326480736 ecr 943307886], length 666 13:28:01.321386 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [R.], seq 685, ack 353, win 1944, options [nop,nop,TS val 326480736 ecr 943307886], length 0 13:28:01.322727 IP 192.168.1.51.51472 > 192.168.1.132.5000: Flags [.], ack 18, win 8234, options [nop,nop,TS val 943307891 ecr 326480735], length 0 13:28:01.322733 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [R], seq 3103085800, win 0, length 0 13:28:01.323221 IP 192.168.1.51.51472 > 192.168.1.132.5000: Flags [.], ack 685, win 8192, options [nop,nop,TS val 943307892 ecr 326480736], length 0 13:28:01.323231 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [R], seq 3103086467, win 0, length 0 ~~~~~~~~~~~~~~~~~~~~ Bad1 -- Client Side ~~~~~~~~~~~~~~~~~~~~ 13:28:11.374654 IP 192.168.1.51.51472 > 192.168.1.132.5000: Flags [S], seq 920400580, win 65535, options [mss 1460,nop,wscale 4,nop,nop,TS val 943307883 ecr 0,sackOK,eol], length 0 13:28:11.375764 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [S.], seq 3103085782, ack 920400581, win 14480, options [mss 1460,sackOK,TS val 326480733 ecr 943307883,nop,wscale 3], length 0 13:28:11.376352 IP 192.168.1.51.51472 > 192.168.1.132.5000: Flags [.], ack 1, win 8235, options [nop,nop,TS val 943307884 ecr 326480733], length 0 13:28:11.378252 IP 192.168.1.51.51472 > 192.168.1.132.5000: Flags [P.], seq 1:351, ack 1, win 8235, options [nop,nop,TS val 943307886 ecr 326480733], length 350 13:28:11.379027 IP 192.168.1.51.51472 > 192.168.1.132.5000: Flags [P.], seq 351:353, ack 1, win 8235, options [nop,nop,TS val 943307886 ecr 326480733], length 2 13:28:11.379732 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [.], ack 351, win 1944, options [nop,nop,TS val 326480734 ecr 943307886], length 0 13:28:11.380592 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [.], ack 353, win 1944, options [nop,nop,TS val 326480734 ecr 943307886], length 0 13:28:11.384968 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [P.], seq 1:18, ack 353, win 1944, options [nop,nop,TS val 326480735 ecr 943307886], length 17 13:28:11.385044 IP 192.168.1.51.51472 > 192.168.1.132.5000: Flags [.], ack 18, win 8234, options [nop,nop,TS val 943307891 ecr 326480735], length 0 13:28:11.385586 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [FP.], seq 18:684, ack 353, win 1944, options [nop,nop,TS val 326480736 ecr 943307886], length 666 13:28:11.385743 IP 192.168.1.51.51472 > 192.168.1.132.5000: Flags [.], ack 685, win 8192, options [nop,nop,TS val 943307892 ecr 326480736], length 0 13:28:11.385966 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [R.], seq 685, ack 353, win 1944, options [nop,nop,TS val 326480736 ecr 943307886], length 0 13:28:11.387343 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [R], seq 3103085800, win 0, length 0 13:28:11.387344 IP 192.168.1.132.5000 > 192.168.1.51.51472: Flags [R], seq 3103086467, win 0, length 0 ~~~~~~~~~~~~~~~~~~~~ Bad2 -- Server Side ~~~~~~~~~~~~~~~~~~~~ 13:28:01.319185 IP 192.168.1.51.51473 > 192.168.1.132.5000: Flags [S], seq 1631526992, win 65535, options [mss 1460,nop,wscale 4,nop,nop,TS val 943307889 ecr 0,sackOK,eol], length 0 13:28:01.319197 IP 192.168.1.132.5000 > 192.168.1.51.51473: Flags [S.], seq 2524685719, ack 1631526993, win 14480, options [mss 1460,sackOK,TS val 326480735 ecr 943307889,nop,wscale 3], length 0 13:28:01.320692 IP 192.168.1.51.51473 > 192.168.1.132.5000: Flags [.], ack 1, win 8235, options [nop,nop,TS val 943307890 ecr 326480735], length 0 13:28:01.322219 IP 192.168.1.51.51473 > 192.168.1.132.5000: Flags [P.], seq 1:351, ack 1, win 8235, options [nop,nop,TS val 943307890 ecr 326480735], length 350 13:28:01.322336 IP 192.168.1.132.5000 > 192.168.1.51.51473: Flags [.], ack 351, win 1944, options [nop,nop,TS val 326480736 ecr 943307890], length 0 13:28:01.322689 IP 192.168.1.51.51473 > 192.168.1.132.5000: Flags [P.], seq 351:353, ack 1, win 8235, options [nop,nop,TS val 943307890 ecr 326480735], length 2 13:28:01.322700 IP 192.168.1.132.5000 > 192.168.1.51.51473: Flags [.], ack 353, win 1944, options [nop,nop,TS val 326480736 ecr 943307890], length 0 13:28:01.326307 IP 192.168.1.132.5000 > 192.168.1.51.51473: Flags [P.], seq 1:18, ack 353, win 1944, options [nop,nop,TS val 326480737 ecr 943307890], length 17 13:28:01.326614 IP 192.168.1.132.5000 > 192.168.1.51.51473: Flags [FP.], seq 18:684, ack 353, win 1944, options [nop,nop,TS val 326480737 ecr 943307890], length 666 13:28:01.326710 IP 192.168.1.132.5000 > 192.168.1.51.51473: Flags [R.], seq 685, ack 353, win 1944, options [nop,nop,TS val 326480737 ecr 943307890], length 0 13:28:01.328499 IP 192.168.1.51.51473 > 192.168.1.132.5000: Flags [.], ack 18, win 8234, options [nop,nop,TS val 943307896 ecr 326480737], length 0 13:28:01.328509 IP 192.168.1.132.5000 > 192.168.1.51.51473: Flags [R], seq 2524685737, win 0, length 0 13:28:01.328514 IP 192.168.1.51.51473 > 192.168.1.132.5000: Flags [.], ack 685, win 8192, options [nop,nop,TS val 943307896 ecr 326480737], length 0 13:28:01.328517 IP 192.168.1.132.5000 > 192.168.1.51.51473: Flags [R], seq 2524686404, win 0, length 0

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  • Intermittent Connection Issues to SQL Server 2008 R2 RTM

    - by Chandan Jha
    The problem I am facing is a very complex one and inspite of trying to gather a root cause of the problem, I am standing at the same place after 2 months with just bits and pieces of information.Here is a scenario: There is a windows 2003 server which uses an system DSN ODBC connection. I looked into the driver properties and it is as follows: Name Version File SQL Server 2000.86.3959.00 SQLSRV32.DLL Now, this system DSN has been given configured with TCP\IP in Network Libraries and 'determine port dynamically' is checked. Now, lets come to the database destination. It is hosted on Windows 2008 having SQL 2008 R2 RTM version 64-bit. Now, I will give you a an overview about the events that happen and whatever troubleshooting I could perform: I get an email saying 'blah blah' failed and the only message their application gets is 'cannot connect to database' I go the SQL Server logs and find the following information: Login failed for user ''. Reason: An attempt to login using SQL authentication failed. Server is configured for Windows authentication only. [CLIENT: 10.0.0.xx Error: 18456, Severity: 14, State: 58.] A quick search shows that this error may come when an SQL Server is configured with windows authentication but its not true. We have mixed mode and connection issue is intermittent. This SQL Server is configured to run on a local system account but since we use only SQL Server accounts to connect to this, there should not be any Kerberos errors. When I run a profiler trace and see only 'existing connections', i see a lot of them coming from my client server displaying the sql user but NO hostname is shown. Textdata field shows TCP\IP information along with some arithabort and ansi-null settings. Now, I tried looking into ring connectivity buffer by using following: SELECTCAST(record AS XML) FROM sys.dm_os_ring_buffers WHERE ring_buffer_type = 'RING_BUFFER_CONNECTIVITY' One sample output is: <ConnectivityTraceRecord> <RecordType>Error</RecordType> <RecordSource>Tds</RecordSource> <Spid>118</Spid> <SniConnectionId>5124905D-D1EC-460E-AD78-201050B78C67</SniConnectionId> <OSError>0</OSError> <SniConsumerError>18452</SniConsumerError> <SniProvider>7</SniProvider> <State>1</State> <RemoteHost>10.0.0.21</RemoteHost> <RemotePort>5008</RemotePort> <LocalHost>10.1.0.38</LocalHost> <LocalPort>1433</LocalPort> <RecordTime>6/6/2012 21:14:57.527</RecordTime> <TdsBuffersInformation> <TdsInputBufferError>0</TdsInputBufferError> <TdsOutputBufferError>0</TdsOutputBufferError> <TdsInputBufferBytes>120</TdsInputBufferBytes> </TdsBuffersInformation> <TdsDisconnectFlags> <PhysicalConnectionIsKilled>0</PhysicalConnectionIsKilled> <DisconnectDueToReadError>0</DisconnectDueToReadError> <NetworkErrorFoundInInputStream>0</NetworkErrorFoundInInputStream> <ErrorFoundBeforeLogin>0</ErrorFoundBeforeLogin> <SessionIsKilled>0</SessionIsKilled> <NormalDisconnect>0</NormalDisconnect> </TdsDisconnectFlags> </ConnectivityTraceRecord> <Stack> <frame id="0">0X000000000174C34B</frame> <frame id="1">0X0000000001748FDD</frame> <frame id="2">0X0000000002461001</frame> <frame id="3">0X0000000000C47E98</frame> <frame id="4">0X00000000008015AD</frame> <frame id="5">0X0000000000801492</frame> <frame id="6">0X00000000003CBBD8</frame> <frame id="7">0X00000000003CB8BA</frame> <frame id="8">0X00000000003CB6FF</frame> <frame id="9">0X00000000008E8FB6</frame> <frame id="10">0X00000000008E9175</frame> <frame id="11">0X00000000008E9839</frame> <frame id="12">0X00000000008E9502</frame> <frame id="13">0X0000000074E437D7</frame> <frame id="14">0X0000000074E43894</frame> <frame id="15">0X00000000775A652D</frame> Somehow all the errors show error number 18452 whereas I never found this error in my SQL logs where I see only 18456. I am just stuck on a dead end because this connection issue appears intermittently. Sorry for a long question but I hope if you read this, you can make out that I tried a lot at my end before giving up.

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  • Accessing DHCP Client's vendor-encapsulated-options

    - by Jason Owen
    In the dhcpd.conf file for isc-dhcpd-V3.1.1, I have set up a vendor options space and defined several different options. I am able to use those definitions to send options from the server to the client in the vendor-encapsulated-options option (code 43). However, the client is also sending vendor options back to the server, in the same way, and I'd like to respond differently depending on the type and contents of the options. As far as I can tell, the the server isn't parsing the client's vendor-encapsulated-options at all - the option operator is just returning null. Is there a way to get the server to populate the options in the vendor space I've defined?

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