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  • Excel VBAa: Sum invoice by client id with copying result to new worksheet

    - by Melkior
    Hi, i have strange problem doing reporting: i have numerous clients with different issued invoices. Problem comes to the point when there are invoices in minus and plus: Column A consists of client unique IDs, Column B invoice number, column C invoice amount A | B | C 0010019991 | 1800149471 | 162.00 0010019991 | 1800136388 | 162.00 0010019991 | 1600008004 | -36.00 0010021791 | 1800132148 | 162.00 0010021791 | 1800145436 | 162.00 0010021791 | 1600007737 | -12.00 0014066147 | 1800119068 | 1,684.80 0014066147 | 1800123702 | 1,684.80 0014066147 | 1600007980 | -1,300.80 0014066147 | 1600007719 | -1,286.40 I need to remove rows with negative invoices in a way that amount is summed with invoices which are not with negative amount. So that final result would look like: A | B | C 0010019991 | 1800149471 | 126.00 0010019991 | 1800136388 | 162.00 0010021791 | 1800132148 | 150.00 0010021791 | 1800145436 | 162.00 0014066147 | 1800123702 | 782.40

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  • Javascript How to automatically change word when click without need to refresh browser.?

    - by Fakhrul Zakry
    im quite lost here and not really expert about javascript. I want to change the content when user click with "Thanks for vote" automatically without need to refresh the page. Here is my html: {% if poll.privacy == "own" and request.user.get_profile.parliment != poll.location %} You do not have permission to vote this. {% else %} {% if has_vote %} {% if poll.rating_option == '1to5' %} <div class="rate"> <div id="poll-rate-{{ poll.pk }}"></div> </div> {% else %} Thanks for your vote. {% endif %} {% else %} {% if poll.rating_option == 'yes_no' %} <a href="javascript:void(0)" class="rate btn btn-xs btn-success mr5 vote-positive" rel="{% url 'vote_vote' poll.pk 1 %}" alt="{{ poll.pk }}">Yes</a> <a href="javascript:void(0)" class="rate btn btn-xs btn-danger vote-negative" rel="{% url 'vote_vote' poll.pk 0 %}" alt="{{ poll.pk }}">No</a> {% elif poll.rating_option == 'like_dislike' %} <a href="javascript:void(0)" class="rate btn btn-xs btn-success mr5 vote-positive" rel="{% url 'vote_vote' poll.pk 1 %}" alt="{{ poll.pk }}">Like</a> <a href="javascript:void(0)" class="rate btn btn-xs btn-danger vote-negative" rel="{% url 'vote_vote' poll.pk 0 %}" alt="{{ poll.pk }}">Dislike</a> {% elif poll.rating_option == '1to5' %} <div class="rate"> <div id="poll-rate-{{ poll.pk }}"></div> </div> {% endif %} {% endif %} {% endif %} and here is my javascript: function bindVoteHandler() { $('a.vote-positive, a.vote-negative').click(function(event) { event.preventDefault(); var link = $(this).attr('rel'); var poll_pk = $(this).attr('alt'); var selected_div = $(this).parent('div'); selected_div.html('<img src="{{ STATIC_URL }}img/loading_small.gif" />'); $.ajax(link).done(function( data ) { var result_div = $('div#vote-result-'+poll_pk); result_div.html(data); result_div.removeClass('vote-result-grey-out'); selected_div.html('<small>Thanks for your vote.</small>'); }); }); }; did anyone know what is the problem why i need to refresh my page after Like/Vote/rate to make it become (Thanks For your vote) ? please someone know help or share link with me. Below is the image: before click Like: after click Like: then when refreshed the word just displayed, it supposed automatically display when click Like. Thank you in advance..

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  • Excel VBA: Sum invoice by client id with copying result to new worksheet

    - by Melkior
    Hi, i have strange problem doing reporting: i have numerous clients with different issued invoices. Problem comes to the point when there are invoices in minus and plus: Column A consists of client unique IDs, Column B invoice number, column C invoice amount A | B | C 0010019991 | 1800149471 | 162.00 | 2010-03-12 0010019991 | 1800136388 | 162.00 | 2010-02-12 0010019991 | 1600008004 | -36.00 | 2010-03-15 0010021791 | 1800132148 | 162.00 | 2010-03-12 0010021791 | 1800145436 | 162.00 | 2010-02-12 0010021791 | 1600007737 | -12.00 | 2010-03-15 0014066147 | 1800119068 | 1,684.80 | 2010-03-12 0014066147 | 1800123702 | 1,684.80 | 2010-02-12 0014066147 | 1600007980 | -1,300.80 | 2010-02-15 0014066147 | 1600007719 | -1,286.40 | 2010-03-15 I need to remove rows with negative invoices in a way that amount is summed with invoices which are not with negative amount. So that final result would look like: A | B | C | D 0010019991 | 1800149471 | 126.00 | 2010-03-12 0010019991 | 1800136388 | 162.00 | 2010-02-12 0010021791 | 1800132148 | 150.00 | 2010-03-12 0010021791 | 1800145436 | 162.00 | 2010-02-12 0014066147 | 1800123702 | 782.40 | 2010-02-12

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  • crazy asp.net error

    - by dominic
    Hi I am having a problem debugging an issue on a website. Everything works locally, the local and server databases are the same The strange thing about the error is that it points to my local dev machine in the error stack. Is that crazy or what, The files are published and being hosted on a server machine and the error is pointing to a line of code on my local dev box. I feel like I am losing the plot. Can someone pls help be clear the air here because this is very weird Error in '/' Application. Index was out of range. Must be non-negative and less than the size of the collection. Parameter name: index Description: An unhandled exception occurred during the execution of the current web request. Please review the stack trace for more information about the error and where it originated in the code. Exception Details: System.ArgumentOutOfRangeException: Index was out of range. Must be non-negative and less than the size of the collection. Parameter name: index Source Error: An unhandled exception was generated during the execution of the current web request. Information regarding the origin and location of the exception can be identified using the exception stack trace below. Stack Trace: [ArgumentOutOfRangeException: Index was out of range. Must be non-negative and less than the size of the collection. Parameter name: index] System.Collections.ArrayList.get_Item(Int32 index) +10066148 System.Collections.Specialized.NameObjectCollectionBase.BaseGet(Int32 index) +17 System.Web.HttpFileCollection.get_Item(Int32 index) +9 System.Web.HttpFileCollectionWrapper.get_Item(Int32 index) +18 PitchPortal.Web.Binders.DocumentModelBinder.ValidateAndAssignPostedFile(ControllerContext controllerContext, ModelBindingContext bindingContext, Document doc) in C:\Users\Bich Vu\Documents\Visual Studio 2008\Projects\PitchPortal\PitchPortal.Web\Binders\DocumentModelBinder.cs:73 PitchPortal.Web.Binders.DocumentModelBinder.BindModel(ControllerContext controllerContext, ModelBindingContext bindingContext) in C:\Users\Bich Vu\Documents\Visual Studio 2008\Projects\PitchPortal\PitchPortal.Web\Binders\DocumentModelBinder.cs:45 System.Web.Mvc.ControllerActionInvoker.GetParameterValue(ControllerContext controllerContext, ParameterDescriptor parameterDescriptor) +404 System.Web.Mvc.ControllerActionInvoker.GetParameterValues(ControllerContext controllerContext, ActionDescriptor actionDescriptor) +140 System.Web.Mvc.ControllerActionInvoker.InvokeAction(ControllerContext controllerContext, String actionName) +658084 System.Web.Mvc.Controller.ExecuteCore() +125 System.Web.Mvc.<c_DisplayClass8.b_4() +48 System.Web.Mvc.Async.<c_DisplayClass1.b_0() +21 System.Web.Mvc.Async.<c__DisplayClass81.<BeginSynchronous>b__7(IAsyncResult _) +15 System.Web.Mvc.Async.WrappedAsyncResult1.End() +85 System.Web.Mvc.MvcHandler.EndProcessRequest(IAsyncResult asyncResult) +51 System.Web.CallHandlerExecutionStep.System.Web.HttpApplication.IExecutionStep.Execute() +454 System.Web.HttpApplication.ExecuteStep(IExecutionStep step, Boolean& completedSynchronously) +263

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  • Fibonacci using SBN in OISC in Machine Language

    - by velociraptor
    Hello, I want to generate fibonacci series using SBN in an OISC architecture. My initial approach is to implement it in assembly language first and then convert it to machine language. The first steps involve storing 0 and 1 in 2 registers and then subtract 1 from 0 and repeatedly subtract 1 in the consequent steps. Everytime it will generate a negative number and since its negative, it branches off and fetches the absolute value finding instruction. Is my approach correct? My confusion in the meaning of OISC. Correct me if i'm wrong, if i perform a subtraction and then an absolute value finding, it means that that i'm using 2 instructions everytime. or is it that in the OISC processor both these instructions are done at the sametime which would mean that my approach is correct. Please help. thank you all

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  • problem with hierarchical clustering in Python

    - by user248237
    I am doing a hierarchical clustering a 2 dimensional matrix by correlation distance metric (i.e. 1 - Pearson correlation). My code is the following (the data is in a variable called "data"): from hcluster import * Y = pdist(data, 'correlation') cluster_type = 'average' Z = linkage(Y, cluster_type) dendrogram(Z) The error I get is: ValueError: Linkage 'Z' contains negative distances. What causes this error? The matrix "data" that I use is simply: [[ 156.651968 2345.168618] [ 158.089968 2032.840106] [ 207.996413 2786.779081] [ 151.885804 2286.70533 ] [ 154.33665 1967.74431 ] [ 150.060182 1931.991169] [ 133.800787 1978.539644] [ 112.743217 1478.903191] [ 125.388905 1422.3247 ]] I don't see how pdist could ever produce negative numbers when taking 1 - pearson correlation. Any ideas on this? thank you.

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  • SQL Filter Multiple Tables Data

    - by Brad
    If it matters, I'm using Firebird 2.1 database. I have three tables, one with keywords, one with negative keywords, and the other with required keywords. I need to be able to filter the data so the output has just the keywords that meat the stipulation of not being in the negative keyword list, and IF there are any required words, then it will require the results to have those keywords in the end result. The tables are very similar, the field in the tables that I would be matching against are all called keyword. I don't know SQL very well at all. I'm guessing it would be something like SELECT keyword from keywordstable where keyword in requiredkeywordstable and where NOT in negativekeywordstable Just a side note, The required keywords table could be empty which would mean there are no required keywords. Any help would be appreciated. -Brad

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  • How to move a kinect skeleton to another position

    - by Ewerton
    I am working on a extension method to move one skeleton to a desired position in the kinect field os view. My code receives a skeleton to be moved and the destiny position, i calculate the distance between the received skeleton hip center and the destiny position to find how much to move, then a iterate in the joint applying this factor. My code, actualy looks like this. public static Skeleton MoveTo(this Skeleton skToBeMoved, Vector4 destiny) { Joint newJoint = new Joint(); ///Based on the HipCenter (i dont know if it is reliable, seems it is.) float howMuchMoveToX = Math.Abs(skToBeMoved.Joints[JointType.HipCenter].Position.X - destiny.X); float howMuchMoveToY = Math.Abs(skToBeMoved.Joints[JointType.HipCenter].Position.Y - destiny.Y); float howMuchMoveToZ = Math.Abs(skToBeMoved.Joints[JointType.HipCenter].Position.Z - destiny.Z); float howMuchToMultiply = 1; // Iterate in the 20 Joints foreach (JointType item in Enum.GetValues(typeof(JointType))) { newJoint = skToBeMoved.Joints[item]; // This adjust, try to keeps the skToBeMoved in the desired position if (newJoint.Position.X < 0) howMuchToMultiply = 1; // if the point is in a negative position, carry it to a "more positive" position else howMuchToMultiply = -1; // if the point is in a positive position, carry it to a "more negative" position // applying the new values to the joint SkeletonPoint pos = new SkeletonPoint() { X = newJoint.Position.X + (howMuchMoveToX * howMuchToMultiply), Y = newJoint.Position.Y, // * (float)whatToMultiplyY, Z = newJoint.Position.Z, // * (float)whatToMultiplyZ }; newJoint.Position = pos; skToBeMoved.Joints[item] = newJoint; //if (skToBeMoved.Joints[JointType.HipCenter].Position.X < 0) //{ // if (item == JointType.HandLeft) // { // if (skToBeMoved.Joints[item].Position.X > 0) // { // } // } //} } return skToBeMoved; } Actualy, only X position is considered. Now, THE PROBLEM: If i stand in a negative position, and move my hand to a positive position, a have a strange behavior, look this image To reproduce this behaviour you could use this code using (SkeletonFrame frame = e.OpenSkeletonFrame()) { if (frame == null) return new Skeleton(); if (skeletons == null || skeletons.Length != frame.SkeletonArrayLength) { skeletons = new Skeleton[frame.SkeletonArrayLength]; } frame.CopySkeletonDataTo(skeletons); Skeleton skeletonToTest = skeletons.Where(s => s.TrackingState == SkeletonTrackingState.Tracked).FirstOrDefault(); Vector4 newPosition = new Vector4(); newPosition.X = -0.03412333f; newPosition.Y = 0.0407479f; newPosition.Z = 1.927342f; newPosition.W = 0; // ignored skeletonToTest.MoveTo(newPosition); } I know, this is simple math, but i cant figure it out why this is happen. Any help will be apreciated.

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  • How to deal with Rounding-off TimeSpan?

    - by infant programmer
    I take the difference between two DateTime fields, and store it in a TimeSpan variable, Now I have to round-off the TimeSpan by the following rules: if the minutes in TimeSpan is less than 30 then Minutes and Seconds must be set to zero, if the minutes in TimeSpan is equal to or greater than 30 then hours must be incremented by 1 and Minutes and Seconds must be set to zero. TimeSpan can also be a negative value, so in that case I need to preserve the sign.. I could be able to achieve the requirement if the TimeSpan wasn't a negative value, though I have written a code I am not happy with its inefficiency as it is more bulky .. Please suggest me a simpler and efficient method. Thanks regards,

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  • c++ i need help with this program. everytime i try to run it, i got a problem

    - by FOXMULDERIZE
    1-the program must read numeric data from a file. 2-only one line per number 3-half way between those numbers is a negative number. 4-the program must sum those who are above the negative number in a acumulator an those below the negative number in another acumulator. 5-the black screen shall print both results and determined who is grater or equal. include include using namespace std; void showvalues(int,int,int[]); void showvalues2(int,int); void sumtotal(int,int); int main() { int total1=0; int total2=0; const int SIZE_A= 9; int arreglo[SIZE_A]; int suma,total,a,b,c,d,e,f; ifstream archivo_de_entrada; archivo_de_entrada.open("numeros.txt"); //lee/// for(int count =0 ;count < SIZE_A;count++) archivo_de_entrada>>arreglo[count] ; archivo_de_entrada.close(); showvalues(0,3,arreglo); showvalues2(5,8); sumtotal(total1,total2); system("pause"); return 0; } void showvalues(int a,int b,int arreglos) { int total1=0; //muestra//////////////////////// cout<< "los num son "; for(int count = a ;count <= b;count++) total1 += arreglos[count]; cout < } void showvalues2(int c,int d) { ////////////////////////////// int total2=0; cout<< "los num 2 son "; for(count =5 ;count <=8;count++) total2 = total2 + arreglo[count]; cout < void sumtotal(int e,int f) { ///////////////////////////////// cout<<"la suma de t1 y t2 es "; total= total1 + total2; cout< }

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  • timer_getoverrun() doesn't behave as expected when using sleep()

    - by dlp
    Here is a program that uses a POSIX per-process timer alongside the sleep subroutine. The signal used by the timer has been set to SIGUSR1 rather than SIGALRM, since SIGALRM may be used internally by sleep, but it still doesn't seem to work. I have run the program using the command line timer-overruns -d 1 -n 10000000 (1 cs interval) so, in theory, we should expect 100 overruns between calls to sigwaitinfo. However, timer_getoverrun returns 0. I have also tried a version using a time-consuming for loop to introduce the delay. In this case, overruns are recorded. Does anyone know why this happens? I am running a 3.4 Linux kernel. Program source /* * timer-overruns.c */ #include <unistd.h> #include <stdlib.h> #include <stdio.h> #include <signal.h> #include <time.h> // Signal to be used for timer expirations #define TIMER_SIGNAL SIGUSR1 int main(int argc, char **argv) { int opt; int d = 0; int r = 0; // Repeat indefinitely struct itimerspec its; its.it_interval.tv_sec = 0; its.it_interval.tv_nsec = 0; // Parse arguments while ((opt = getopt(argc, argv, "d:r:s:n:")) != -1) { switch (opt) { case 'd': // Delay before calling sigwaitinfo() d = atoi(optarg); break; case 'r': // Number of times to call sigwaitinfo() r = atoi(optarg); break; case 's': // Timer interval (seconds) its.it_interval.tv_sec = its.it_value.tv_sec = atoi(optarg); break; case 'n': // Timer interval (nanoseconds) its.it_interval.tv_nsec = its.it_value.tv_nsec = atoi(optarg); break; default: /* '?' */ fprintf(stderr, "Usage: %s [-d signal_accept_delay] [-r repetitions] [-s interval_seconds] [-n interval_nanoseconds]\n", argv[0]); exit(EXIT_FAILURE); } } // Check sanity of command line arguments short e = 0; if (d < 0) { fprintf(stderr, "Delay (-d) cannot be negative!\n"); e++; } if (r < 0) { fprintf(stderr, "Number of repetitions (-r) cannot be negative!\n"); e++; } if (its.it_interval.tv_sec < 0) { fprintf(stderr, "Interval seconds value (-s) cannot be negative!\n"); e++; } if (its.it_interval.tv_nsec < 0) { fprintf(stderr, "Interval nanoseconds value (-n) cannot be negative!\n"); e++; } if (its.it_interval.tv_nsec > 999999999) { fprintf(stderr, "Interval nanoseconds value (-n) must be < 1 second.\n"); e++; } if (e > 0) exit(EXIT_FAILURE); // Set default values if not specified if (its.it_interval.tv_sec == 0 && its.it_interval.tv_nsec == 0) { its.it_interval.tv_sec = its.it_value.tv_sec = 1; its.it_value.tv_nsec = 0; } printf("Running with timer delay %d.%09d seconds\n", (int) its.it_interval.tv_sec, (int) its.it_interval.tv_nsec); // Will be waiting for signals synchronously, so block the one in use. sigset_t sigset; sigemptyset(&sigset); sigaddset(&sigset, TIMER_SIGNAL); sigprocmask(SIG_BLOCK, &sigset, NULL ); // Create and arm the timer struct sigevent sev; timer_t timer; sev.sigev_notify = SIGEV_SIGNAL; sev.sigev_signo = TIMER_SIGNAL; sev.sigev_value.sival_ptr = timer; timer_create(CLOCK_REALTIME, &sev, &timer); timer_settime(timer, TIMER_ABSTIME, &its, NULL ); // Signal handling loop int overruns; siginfo_t si; // Make the loop infinite if r = 0 if (r == 0) r = -1; while (r != 0) { // Sleeping should cause overruns if (d > 0) sleep(d); sigwaitinfo(&sigset, &si); // Check that the signal is from the timer if (si.si_code != SI_TIMER) continue; overruns = timer_getoverrun(timer); if (overruns > 0) { printf("Timer overrun occurred for %d expirations.\n", overruns); } // Decrement r if not repeating indefinitely if (r > 0) r--; } return EXIT_SUCCESS; }

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  • Which HRESULT literal constant will fail the SUCCEEDED() macro?

    - by Hamish Grubijan
    Definition of SUCCEEDED(): #define SUCCEEDED(hr) (((HRESULT)(hr)) >= 0) Background: When an Ok button is clicked on a dialog, I need to return an HRESULT value hr such that SUCCEEDED(hr) is true. If Cancel button is clicked, I need to return a negative value. I could have used bools, but that would break the existing pattern (usually the hr values come from depths of system dlls). So, I know I can return S_OK on Ok, but what do I return on Cancel? I could just return (HRESULT)-1;, but there must be a better way - some HRESULT literal constant which has negative value and represents a generic failure. S_FALSE is not it, for it's value is defined as 1L. Please help me find the right constant.

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  • eliminating noise/spikes

    - by tgv
    I have a measurement data with similar positive and negative values which should be like: ReqData=[0 0 -2 -2 -2 -2 -2 -2 0 0 0 -2 -2 -2 -2 0 0 2 2 2 2 2 2 0 0 2 2 2 2 2 0 0 2 2 2 2 2 0 0 2 2 2 0 0]' However, there are some measurement noises in the data - so the real data is like this: RealData=[0 0 -2 -2 -2 -2 -2 -2 0 0 0 -2 -2 -2 -2 0 0 2 2 2 2 -4 -1 0 0 2 2 2 2 -7 0 0 2 2 2 2 -1 0 0 2 2 2 0 0]' How do I remove the end noise from the RealData and convert it into ReqData using Matlab? How do I find the start and stop indexes of each set of positive or negative data and split them using Matlab? For instance, ansPositive = [3,8, 12, 15]' and ansNegative = [18, 23, 26, 30, 33, 37, 40, 42]'.

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  • PHP Math issue with negatives [closed]

    - by user1269625
    Possible Duplicate: PHP negatives keep adding I have this code here.... $remaining = 0; foreach($array as $value=>$row){ $remaining = $remaining + $row['remainingbalance']; } What its doing is that it is going through all the remaining balances in the array which are -51.75 and -17.85 with the code above I get -69.60 which is correct. But I am wondering how when its two negatives if they could subtract? Is that possible? I tried this $remaining = 0; foreach($clientArrayInvoice as $value=>$row){ $remaining = $remaining + abs($row['remainingbalance']); } but it gives me 69.60 without the negative. Anyone got any ideas? my goal is to take -51.75 and -17.85 and come up with -33.90 only when its a negative to do subtract. otherwise add

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  • Working with PivotTables in Excel

    - by Mark Virtue
    PivotTables are one of the most powerful features of Microsoft Excel.  They allow large amounts of data to be analyzed and summarized in just a few mouse clicks. In this article, we explore PivotTables, understand what they are, and learn how to create and customize them. Note:  This article is written using Excel 2010 (Beta).  The concept of a PivotTable has changed little over the years, but the method of creating one has changed in nearly every iteration of Excel.  If you are using a version of Excel that is not 2010, expect different screens from the ones you see in this article. A Little History In the early days of spreadsheet programs, Lotus 1-2-3 ruled the roost.  Its dominance was so complete that people thought it was a waste of time for Microsoft to bother developing their own spreadsheet software (Excel) to compete with Lotus.  Flash-forward to 2010, and Excel’s dominance of the spreadsheet market is greater than Lotus’s ever was, while the number of users still running Lotus 1-2-3 is approaching zero.  How did this happen?  What caused such a dramatic reversal of fortunes? Industry analysts put it down to two factors:  Firstly, Lotus decided that this fancy new GUI platform called “Windows” was a passing fad that would never take off.  They declined to create a Windows version of Lotus 1-2-3 (for a few years, anyway), predicting that their DOS version of the software was all anyone would ever need.  Microsoft, naturally, developed Excel exclusively for Windows.  Secondly, Microsoft developed a feature for Excel that Lotus didn’t provide in 1-2-3, namely PivotTables.  The PivotTables feature, exclusive to Excel, was deemed so staggeringly useful that people were willing to learn an entire new software package (Excel) rather than stick with a program (1-2-3) that didn’t have it.  This one feature, along with the misjudgment of the success of Windows, was the death-knell for Lotus 1-2-3, and the beginning of the success of Microsoft Excel. Understanding PivotTables So what is a PivotTable, exactly? Put simply, a PivotTable is a summary of some data, created to allow easy analysis of said data.  But unlike a manually created summary, Excel PivotTables are interactive.  Once you have created one, you can easily change it if it doesn’t offer the exact insights into your data that you were hoping for.  In a couple of clicks the summary can be “pivoted” – rotated in such a way that the column headings become row headings, and vice versa.  There’s a lot more that can be done, too.  Rather than try to describe all the features of PivotTables, we’ll simply demonstrate them… The data that you analyze using a PivotTable can’t be just any data – it has to be raw data, previously unprocessed (unsummarized) – typically a list of some sort.  An example of this might be the list of sales transactions in a company for the past six months. Examine the data shown below: Notice that this is not raw data.  In fact, it is already a summary of some sort.  In cell B3 we can see $30,000, which apparently is the total of James Cook’s sales for the month of January.  So where is the raw data?  How did we arrive at the figure of $30,000?  Where is the original list of sales transactions that this figure was generated from?  It’s clear that somewhere, someone must have gone to the trouble of collating all of the sales transactions for the past six months into the summary we see above.  How long do you suppose this took?  An hour?  Ten?  Probably. If we were to track down the original list of sales transactions, it might look something like this: You may be surprised to learn that, using the PivotTable feature of Excel, we can create a monthly sales summary similar to the one above in a few seconds, with only a few mouse clicks.  We can do this – and a lot more too! How to Create a PivotTable First, ensure that you have some raw data in a worksheet in Excel.  A list of financial transactions is typical, but it can be a list of just about anything:  Employee contact details, your CD collection, or fuel consumption figures for your company’s fleet of cars. So we start Excel… …and we load such a list… Once we have the list open in Excel, we’re ready to start creating the PivotTable. Click on any one single cell within the list: Then, from the Insert tab, click the PivotTable icon: The Create PivotTable box appears, asking you two questions:  What data should your new PivotTable be based on, and where should it be created?  Because we already clicked on a cell within the list (in the step above), the entire list surrounding that cell is already selected for us ($A$1:$G$88 on the Payments sheet, in this example).  Note that we could select a list in any other region of any other worksheet, or even some external data source, such as an Access database table, or even a MS-SQL Server database table.  We also need to select whether we want our new PivotTable to be created on a new worksheet, or on an existing one.  In this example we will select a new one: The new worksheet is created for us, and a blank PivotTable is created on that worksheet: Another box also appears:  The PivotTable Field List.  This field list will be shown whenever we click on any cell within the PivotTable (above): The list of fields in the top part of the box is actually the collection of column headings from the original raw data worksheet.  The four blank boxes in the lower part of the screen allow us to choose the way we would like our PivotTable to summarize the raw data.  So far, there is nothing in those boxes, so the PivotTable is blank.  All we need to do is drag fields down from the list above and drop them in the lower boxes.  A PivotTable is then automatically created to match our instructions.  If we get it wrong, we only need to drag the fields back to where they came from and/or drag new fields down to replace them. The Values box is arguably the most important of the four.  The field that is dragged into this box represents the data that needs to be summarized in some way (by summing, averaging, finding the maximum, minimum, etc).  It is almost always numerical data.  A perfect candidate for this box in our sample data is the “Amount” field/column.  Let’s drag that field into the Values box: Notice that (a) the “Amount” field in the list of fields is now ticked, and “Sum of Amount” has been added to the Values box, indicating that the amount column has been summed. If we examine the PivotTable itself, we indeed find the sum of all the “Amount” values from the raw data worksheet: We’ve created our first PivotTable!  Handy, but not particularly impressive.  It’s likely that we need a little more insight into our data than that. Referring to our sample data, we need to identify one or more column headings that we could conceivably use to split this total.  For example, we may decide that we would like to see a summary of our data where we have a row heading for each of the different salespersons in our company, and a total for each.  To achieve this, all we need to do is to drag the “Salesperson” field into the Row Labels box: Now, finally, things start to get interesting!  Our PivotTable starts to take shape….   With a couple of clicks we have created a table that would have taken a long time to do manually. So what else can we do?  Well, in one sense our PivotTable is complete.  We’ve created a useful summary of our source data.  The important stuff is already learned!  For the rest of the article, we will examine some ways that more complex PivotTables can be created, and ways that those PivotTables can be customized. First, we can create a two-dimensional table.  Let’s do that by using “Payment Method” as a column heading.  Simply drag the “Payment Method” heading to the Column Labels box: Which looks like this: Starting to get very cool! Let’s make it a three-dimensional table.  What could such a table possibly look like?  Well, let’s see… Drag the “Package” column/heading to the Report Filter box: Notice where it ends up…. This allows us to filter our report based on which “holiday package” was being purchased.  For example, we can see the breakdown of salesperson vs payment method for all packages, or, with a couple of clicks, change it to show the same breakdown for the “Sunseekers” package: And so, if you think about it the right way, our PivotTable is now three-dimensional.  Let’s keep customizing… If it turns out, say, that we only want to see cheque and credit card transactions (i.e. no cash transactions), then we can deselect the “Cash” item from the column headings.  Click the drop-down arrow next to Column Labels, and untick “Cash”: Let’s see what that looks like…As you can see, “Cash” is gone. Formatting This is obviously a very powerful system, but so far the results look very plain and boring.  For a start, the numbers that we’re summing do not look like dollar amounts – just plain old numbers.  Let’s rectify that. A temptation might be to do what we’re used to doing in such circumstances and simply select the whole table (or the whole worksheet) and use the standard number formatting buttons on the toolbar to complete the formatting.  The problem with that approach is that if you ever change the structure of the PivotTable in the future (which is 99% likely), then those number formats will be lost.  We need a way that will make them (semi-)permanent. First, we locate the “Sum of Amount” entry in the Values box, and click on it.  A menu appears.  We select Value Field Settings… from the menu: The Value Field Settings box appears. Click the Number Format button, and the standard Format Cells box appears: From the Category list, select (say) Accounting, and drop the number of decimal places to 0.  Click OK a few times to get back to the PivotTable… As you can see, the numbers have been correctly formatted as dollar amounts. While we’re on the subject of formatting, let’s format the entire PivotTable.  There are a few ways to do this.  Let’s use a simple one… Click the PivotTable Tools/Design tab: Then drop down the arrow in the bottom-right of the PivotTable Styles list to see a vast collection of built-in styles: Choose any one that appeals, and look at the result in your PivotTable:   Other Options We can work with dates as well.  Now usually, there are many, many dates in a transaction list such as the one we started with.  But Excel provides the option to group data items together by day, week, month, year, etc.  Let’s see how this is done. First, let’s remove the “Payment Method” column from the Column Labels box (simply drag it back up to the field list), and replace it with the “Date Booked” column: As you can see, this makes our PivotTable instantly useless, giving us one column for each date that a transaction occurred on – a very wide table! To fix this, right-click on any date and select Group… from the context-menu: The grouping box appears.  We select Months and click OK: Voila!  A much more useful table: (Incidentally, this table is virtually identical to the one shown at the beginning of this article – the original sales summary that was created manually.) Another cool thing to be aware of is that you can have more than one set of row headings (or column headings): …which looks like this…. You can do a similar thing with column headings (or even report filters). Keeping things simple again, let’s see how to plot averaged values, rather than summed values. First, click on “Sum of Amount”, and select Value Field Settings… from the context-menu that appears: In the Summarize value field by list in the Value Field Settings box, select Average: While we’re here, let’s change the Custom Name, from “Average of Amount” to something a little more concise.  Type in something like “Avg”: Click OK, and see what it looks like.  Notice that all the values change from summed totals to averages, and the table title (top-left cell) has changed to “Avg”: If we like, we can even have sums, averages and counts (counts = how many sales there were) all on the same PivotTable! Here are the steps to get something like that in place (starting from a blank PivotTable): Drag “Salesperson” into the Column Labels Drag “Amount” field down into the Values box three times For the first “Amount” field, change its custom name to “Total” and it’s number format to Accounting (0 decimal places) For the second “Amount” field, change its custom name to “Average”, its function to Average and it’s number format to Accounting (0 decimal places) For the third “Amount” field, change its name to “Count” and its function to Count Drag the automatically created field from Column Labels to Row Labels Here’s what we end up with: Total, average and count on the same PivotTable! Conclusion There are many, many more features and options for PivotTables created by Microsoft Excel – far too many to list in an article like this.  To fully cover the potential of PivotTables, a small book (or a large website) would be required.  Brave and/or geeky readers can explore PivotTables further quite easily:  Simply right-click on just about everything, and see what options become available to you.  There are also the two ribbon-tabs: PivotTable Tools/Options and Design.  It doesn’t matter if you make a mistake – it’s easy to delete the PivotTable and start again – a possibility old DOS users of Lotus 1-2-3 never had. We’ve included an Excel that should work with most versions of Excel, so you can download to practice your PivotTable skills. Download Our Practice Excel File Similar Articles Productive Geek Tips Magnify Selected Cells In Excel 2007Share Access Data with Excel in Office 2010Make Excel 2007 Print Gridlines In Workbook FileMake Excel 2007 Always Save in Excel 2003 FormatConvert Older Excel Documents to Excel 2007 Format 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 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 PCmover Professional Ben & Jerry’s Free Cone Day, 3/23/10 New Stinger from McAfee Helps Remove ‘FakeAlert’ Threats Google Apps Marketplace: Tools & Services For Google Apps Users Get News Quick and Precise With Newser Scan for Viruses in Ubuntu using ClamAV Replace Your Windows Task Manager With System Explorer

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  • Feedback on "market manipulation", a peripheral game mechanic for a satirical MMO

    - by BerndBrot
    This question asks for feedback on a specific game-mechanic. Since there is not one right feedback on a game mechanic, I tried to provide enough context and guidelines to still make it possible for users to rate answers and to accept an answer as the best answer (following these criteria from Writer.SE's meta website). Please comment if you have any suggestions on how I could improve the question in that regard. So, let's begin with the game itself and some of its elements which are relevant for this question. Context I'm working on a satirical, text-based multiplayer adventure and role-playing game set in modern-day London. The game resolves around the concept of sin and features a myriad of (venomous) allusions to all the things that go wrong in this world. Players can choose between character classes like bullshit artist (consultant), bankster, lawyer, mobster, celebrity, politician, etc. In order to complete the game, the player has to live so sinfully with regard to any of the seven deadly sins that a demon is willing to offer them a contract of sponsorship. On their quest to live a sinful live, characters explore more and more locations of modern-day London (on a GoogleMap), fight "monsters" like insurance sales agents or Jehovah's Witnesses, and complete quests, like building a PowerPoint presentation out of marketing buzz words or keeping up a number of substance abuse effects in order to progress on the gluttony path. Battles are turn based with both combatants having a deck of cards, with which they try to make their enemy give in to temptations of all sorts. Tempted enemies sometimes become contacts (an item drop mechanic), which can be exploited for various benefits, depending on their area of influence (finance, underworld, bureaucracy, etc.), level of influence, and kind of sway that the player has over them (bribed, seduced, threatened, etc.) Once a contract has been exploited, the player loses that contact. Most actions require turns. Turns are limited, but refill each day. Criteria A number of peripheral game mechanics are supposed to represent real world abuses and mischief in a humorous way integrate real world data and events to strengthen the feeling of relevance of the game's humor with regard to real world problems add fun ways of interacting with other players add ways for players to express themselves through game-play Market manipulation is one such peripheral game mechanic and should fulfill all of these goals. Market manipulation This is my initial design of the mechanic: Players can enter the London Stock Exchange (LSE) (without paying a turn) LSE displays the stock prices of a number of companies in industries like weapons or tobacco as well as some derivatives based on wheat and corn. The stock prices are calculated based on the actual stock prices of these companies and derivatives (in real time) any market manipulations that were conducted by the players any market corrections of the system Players can buy and sell shares with cash, a resource in the game, at current in-game market value (without paying a turn). Players can manipulate the market, i.e. let the price of a share either rise or fall, by some amount, over a certain period of time. Manipulating the market requires 1 turn A contact in the financial sector (see above). The higher the level of influence of the contact, the stronger the effect of the manipulation on the stock price, and/or the shorter it takes for the manipulation to manifest itself. Market manipulation also adds a crime to the player's record. (There are a multitude of ways to take care of that, but it is still another "cost" of market manipulations.) The system continuously corrects market manipulations by letting the in-game prices converge towards their real world counterparts at a rate of 2% of the difference between the two per hour. Because of this market correction mechanism, pushing up prices (and screwing down prices) becomes increasingly difficult the higher (lower) the price already is. Whenever food prices reach a certain level, in-game stories are posted about hunger catastrophes happening somewhere far, far away (maybe with links to real world news stories). Whenever a player sells a certain number of shares with a sufficiently high margin, they are mentioned in that day's in-game financial news. Since the number of stock options is very limited, players will inevitably collide in their efforts to manipulate the market in their favor. Hopefully, it will also be a fun side-arena for guilds and covenants to fight each other. Question(s) What do you think of this mechanism given the criteria for peripheral game mechanics that I specified for my game? Do you have any ideas how the mechanic could be improved with regard to these criteria (or otherwise)? Could it be improved to allow for more expressive game-play, or involve an allusion to some other real world madness (like short selling, leveraging, or some other banking magic)? Are there any game-theoretic problems with this mechanic, like maybe certain dominant individual strategies that, collectively, lead to every player profiting and thus eliminating the idea of market manipulation PVP? Also, if you like (or dislike) this question, feel free to participate in the discussion on GDSE meta: "Should we be more lax with regard to SE's question/answer format to make game design questions possible?"

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  • Hack Extension Files to Make Them Version-Compatible for Firefox

    - by Asian Angel
    A well known drawback in using Firefox is the problem with extension compatibility when a new major version is released. Whether it is for a new extension that you are trying for the first time or an old favorite we have a way to get those extensions working for you again. There are multiple reasons why you might want to choose this method to fix a non-compatible extension: You are uncomfortable with tweaking the “about:config” settings You prefer to maintain the original “about:config” settings in a pristine state and like having compatibility checking active You are looking to gain some “geek cred” Keep in mind that most extensions will work perfectly well with a new version of Firefox and simply have the “version compatibility number” problem. But once in a while there may be one that needs to have some work done on it by the extension’s author. The Problem Here is a perfect example of everyone’s least favorite “extension message”. This is the last thing that you need when all that you want is for your favorite extension (or a new one) to work on a fresh clean install. Note: This works nicely to “replace” non-compatible extensions already present in your browser if you are simply upgrading. Hacking the XPI File For this procedure you will need to manually download the extension to your hard-drive (right click on the extension’s “Install Button” and select “Save As”). Once you have done that you are ready to start hacking the extension. For our example we chose the “GCal Popup Extension”. The best thing to do is place the extension in a new folder (i.e. the Desktop or other convenient location) then unzip it just the same way that you would with any regular zip file. Once it is unzipped you will see the various folders and files that were in the “xpi file” (we had four files here but depending on the extension the number may vary). There is only one file that you need to focus on…the “install.rdf” file. Note: At this point you should move the original extension file to a different location (i.e. outside of the folder) so that it is no longer present. Open the file in “Notepad” so that you can change the number for the “maxVersion”. Here the number is listed as “3.5.*” but we needed to make it higher… Replacing the “5” with a “7” is all that we needed to do. Once you have entered your new “maxVersion” number save the file. At this point you will need to re-zip all of the files back into a single file. Make certain that you “create” a file with the “.zip file extension” otherwise this will not work. Once you have the new zip file created you will need to rename the entire file including the “file extension”. For our example we copied and pasted the original extension name. Once you have changed the name click outside of the “text area”. You will see a small message window like this asking for confirmation…click “Yes” to finish the process. Now your modified/updated extension is ready to install. Drag the extension into your browser to install it and watch that wonderful “Restart to complete the installation.” message appear. As soon as your browser starts you can check the “Add-ons Manager Window” and see the version compatibility numbers for the extension. Looking very very nice! And just like that your extension should be up and running without any problems. Conclusion If you are looking to try something new, gain some geek cred, or just want to keep your Firefox install as close to the original condition as possible this method should get those extensions working nicely for you again. Similar Articles Productive Geek Tips Make Firefox Extensions Compatible After Firefox Update Breaks Them For No Good ReasonCheck Extension Compatibility for Upcoming Firefox ReleasesFirefox 3.6 Release Candidate Available, Here’s How to Fix Your Incompatible ExtensionsHow To Force Extension Compatibility with Firefox 3.6+Test and Report Add-on Compatibility in Firefox 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 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 PCmover Professional 15 Great Illustrations by Chow Hon Lam Easily Sync Files & Folders with Friends & Family Amazon Free Kindle for PC Download Stretch popurls.com with a Stylish Script (Firefox) OldTvShows.org – Find episodes of Hitchcock, Soaps, Game Shows and more Download Microsoft Office Help tab

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  • How to install Oracle Weblogic Server using OS-specific Package installer?(Linux/Solaris)

    - by PratikS -- Oracle
    Note: OS-specific Package installer As the name suggests the installer is platform specific. It is meant for installation with a 32bit JVM only. Both SUN and JROCKIT 32 bit JDKs come bundled with "OS-specific Package installer", so no need to install the JDK in advance. There are three different ways of installing Oracle Weblogic Server: Graphical mode Console mode Silent mode For Linux/Solaris: Steps to install OS-specific Package .bin installer(for Linux/Solaris) are almost same as windows except for the way we launch the installation.Installer: wls_<version>_<linux/solaris>32.bin (E.g. wls1036_linux32.bin/wls1036_solaris32.bin) 1) Graphical mode: Log in to the target UNIX system. Go to the directory that contains the installation program.(Make sure GUI is enabled or else it will default to console mode) Launch the installation by entering the following commands: [weblogic@pratik ~]$ pwd/home/oracle[weblogic@pratik ~]$ cd WLSInstallers/[weblogic@pratik WLSInstallers]$ ls -ltrtotal 851512-rw-rw-r-- 1 oracle oracle 871091023 Dec 22  2011 wls1036_linux32.bin[weblogic@pratik WLSInstallers]$ chmod a+x wls1036_linux32.bin[weblogic@pratik WLSInstallers]$ ls -ltrtotal 851512-rwxrwxr-x 1 oracle oracle 871091023 Dec 22  2011 wls1036_linux32.bin[weblogic@pratik WLSInstallers]$ ./wls1036_linux32.bin As soon as you run ./wls1036_linux32.bin with GUI enabled you would see the following screen: Rest of the screens and steps are similar to that of Graphical mode installation on windows, refer: How to install Oracle Weblogic Server using OS-specific Package installer?(Windows) 2) Console mode: Log in to the target UNIX system. Go to the directory that contains the installation program. Launch the installation by entering the following commands: [weblogic@pratik ~]$ pwd/home/oracle[weblogic@pratik ~]$ cd WLSInstallers/[weblogic@pratik WLSInstallers]$ ls -ltrtotal 851512-rw-rw-r-- 1 weblogic weblogic 871091023 Dec 22  2011 wls1036_linux32.bin[weblogic@pratik WLSInstallers]$ chmod a+x wls1036_linux32.bin[weblogic@pratik WLSInstallers]$ ls -ltrtotal 851512-rwxrwxr-x 1 weblogic weblogic 871091023 Dec 22  2011 wls1036_linux32.bin [weblogic@pratik WLSInstallers]$ ./wls1036_linux32.bin -mode=consoleExtracting 0%....................................................................................................100%<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Welcome:--------This installer will guide you through the installation of WebLogic 10.3.6.0.Type "Next" or enter to proceed to the next prompt.  If you want to change data entered previously, type "Previous".  You may quit the installer at any time by typing "Exit".Enter [Exit][Next]> Next<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Choose Middleware Home Directory:--------------------------------- ->1|* Create a new Middleware Home   2|/home/oracle/wls_12cEnter index number to select OR [Exit][Previous][Next]> Next<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Choose Middleware Home Directory:---------------------------------    "Middleware Home" = [Enter new value or use default"/home/oracle/Oracle/Middleware"]Enter new Middleware Home OR [Exit][Previous][Next]> /home/oracle/WLS1036<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Choose Middleware Home Directory:---------------------------------    "Middleware Home" = [/home/oracle/WLS1036]Use above value or select another option:    1 - Enter new Middleware Home    2 - Change to default [/home/oracle/Oracle/Middleware]Enter option number to select OR [Exit][Previous][Next]> Next<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Register for Security Updates:------------------------------Provide your email address for security updates and  to initiate configuration manager.   1|Email:[]   2|Support Password:[]   3|Receive Security Update:[Yes]Enter index number to select OR [Exit][Previous][Next]> 3<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Register for Security Updates:------------------------------Provide your email address for security updates and  to initiate configuration manager.    "Receive Security Update:" = [Enter new value or use default "Yes"]Enter [Yes][No]? No<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Register for Security Updates:------------------------------Provide your email address for security updates and  to initiate configuration manager.    "Receive Security Update:" = [Enter new value or use default "Yes"]    ** Do you wish to bypass initiation of the configuration manager and    **  remain uninformed of critical security issues in your configuration?Enter [Yes][No]? Yes<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Register for Security Updates:------------------------------Provide your email address for security updates and  to initiate configuration manager.   1|Email:[]   2|Support Password:[]   3|Receive Security Update:[No]Enter index number to select OR [Exit][Previous][Next]>Next<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Register for Security Updates:------------------------------Provide your email address for security updates and  to initiate configuration manager.   1|Email:[]   2|Support Password:[]   3|Receive Security Update:[No]Enter index number to select OR [Exit][Previous][Next]> Next<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Choose Install Type:--------------------Select the type of installation you wish to perform. ->1|Typical    |  Install the following product(s) and component(s):    | - WebLogic Server    | - Oracle Coherence   2|Custom    |  Choose software products and components to install and perform optional    |configuration.Enter index number to select OR [Exit][Previous][Next]> Next<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Choose Product Installation Directories:----------------------------------------Middleware Home Directory: [/home/oracle/WLS1036]Product Installation Directories:   1|WebLogic Server: [/home/oracle/WLS1036/wlserver_10.3]   2|Oracle Coherence: [/home/oracle/WLS1036/coherence_3.7]Enter index number to select OR [Exit][Previous][Next]> Next<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->The following Products and JDKs will be installed:--------------------------------------------------    WebLogic Platform 10.3.6.0    |_____WebLogic Server    |    |_____Core Application Server    |    |_____Administration Console    |    |_____Configuration Wizard and Upgrade Framework    |    |_____Web 2.0 HTTP Pub-Sub Server    |    |_____WebLogic SCA    |    |_____WebLogic JDBC Drivers    |    |_____Third Party JDBC Drivers    |    |_____WebLogic Server Clients    |    |_____WebLogic Web Server Plugins    |    |_____UDDI and Xquery Support    |    |_____Evaluation Database    |_____Oracle Coherence    |    |_____Coherence Product Files    |_____JDKs         |_____SUN SDK 1.6.0_29         |_____Oracle JRockit 1.6.0_29 SDK    *Estimated size of installation: 1,276.0 MBEnter [Exit][Previous][Next]> Next<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Installing files..0%          25%          50%          75%          100%[------------|------------|------------|------------][***************************************************]<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Installing JDK....0%          25%          50%          75%          100%[------------|------------|------------|------------][***************************************************]Performing String Substitutions...<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Configuring OCM...0%          25%          50%          75%          100%[------------|------------|------------|------------][***************************************************]Creating Domains...<-------------------- Oracle Installer - WebLogic 10.3.6.0 ------------------->Installation CompleteCongratulations! Installation is complete.Press [Enter] to continue or type [Exit]> [weblogic@pratik ~]$ Note: All the inputs are in Bold 3) Silent mode:              1) Log in to the target Unix system.             2) Create a silent.xml file that defines the configuration settings normally entered by a user during an interactive installation process, such as graphical-mode or console-mode installation. <?xml version="1.0" encoding="UTF-8"?><bea-installer>     <input-fields>        <data-value name="BEAHOME" value="/home/oracle/WLS1036" />        <data-value name="WLS_INSTALL_DIR" value="/home/oracle/WLS1036/wlserver_10.3" />        <data-value name="COMPONENT_PATHS" value="WebLogic Server|Oracle Coherence" />    </input-fields></bea-installer> <!-- Note: This sample silent.xml file is used to install all the components of WebLogic Server and Oracle Coherence. All the values in Bold are the variables. -->               3) Place the silent.xml file in the same directory as where the WebLogic Server Package installer is located.              4) Go to the directory that contains the installation program.              5) Start the installer as follows: [weblogic@pratik WLSInstallers]$ chmod a+x wls1036_linux32.bin[weblogic@pratik WLSInstallers]$ ls -ltrtotal 851516-rwxrwxr-x 1 weblogic weblogic 871091023 Dec 22  2011 wls1036_linux32.bin-rw-rw-r-- 1 weblogic weblogic       331 Jul  5 03:48 silent.xml[weblogic@pratik WLSInstallers]$ cat silent.xml<?xml version="1.0" encoding="UTF-8"?><bea-installer>        <input-fields>                <data-value name="BEAHOME" value="/home/oracle/WLS1036" />                <data-value name="WLS_INSTALL_DIR" value="/home/oracle/WLS1036/wlserver_10.3" />                <data-value name="COMPONENT_PATHS" value="WebLogic Server|Oracle Coherence" />        </input-fields></bea-installer>[weblogic@pratik WLSInstallers]$ ./wls1036_linux32.bin -mode=silenlent.xml -log=/home/oracle/WLSInstallers/install.logExtracting 0%....................................................................................................100%[weblogic@pratik WLSInstallers]$ -log=/home/oracle/WLSInstallers/install.log creates a installation log(install.log) under "/home/oracle/WLSInstallers/", when installation completes you will see the following printed in the log file: 2012-07-05 03:59:36,788 INFO  [WizardController] com.bea.plateng.wizard.silent.tasks.LogTask - The installation was successfull! For other configurable values in silent.xml refer: Values for the Sample silent.xml File for WebLogic Server Important links to Refer: Running the Installation Program in Graphical Mode Running the Installation Program in Console Mode Running the Installation Program in Silent Mode

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  • AWS: setting up auto-scale for EC2 instances

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/10/16/aws-setting-up-auto-scale-for-ec2-instances.aspxWith Amazon Web Services, there’s no direct equivalent to Azure Worker Roles – no Elastic Beanstalk-style application for .NET background workers. But you can get the auto-scale part by configuring an auto-scaling group for your EC2 instance. This is a step-by-step guide, that shows you how to create the auto-scaling configuration, which for EC2 you need to do with the command line, and then link your scaling policies to CloudWatch alarms in the Web console. I’m using queue size as my metric for CloudWatch,  which is a good fit if your background workers are pulling messages from a queue and processing them.  If the queue is getting too big, the “high” alarm will fire and spin up a new instance to share the workload. If the queue is draining down, the “low” alarm will fire and shut down one of the instances. To start with, you need to manually set up your app in an EC2 VM, for a background worker that would mean hosting your code in a Windows Service (I always use Topshelf). If you’re dual-running Azure and AWS, then you can isolate your logic in one library, with a generic entry point that has Start() and Stop()  functions, so your Worker Role and Windows Service are essentially using the same code. When you have your instance set up with the Windows Service running automatically, and you’ve tested it starts up and works properly from a reboot, shut the machine down and take an image of the VM, using Create Image (EBS AMI) from the Web Console: When that completes, you’ll have your own AMI which you can use to spin up new instances, and you’re ready to create your auto-scaling group. You need to dip into the command-line tools for this, so follow this guide to set up the AWS autoscale command line tool. Now we’re ready to go. 1. Create a launch configuration This launch configuration tells AWS what to do when a new instance needs to be spun up. You create it with the as-create-launch-config command, which looks like this: as-create-launch-config sc-xyz-launcher # name of the launch config --image-id ami-7b9e9f12 # id of the AMI you extracted from your VM --region eu-west-1 # which region the new instance gets created in --instance-type t1.micro # size of the instance to create --group quicklaunch-1 #security group for the new instance 2. Create an auto-scaling group The auto-scaling group links to the launch config, and defines the overall configuration of the collection of instances: as-create-auto-scaling-group sc-xyz-asg # auto-scaling group name --region eu-west-1 # region to create in --launch-configuration sc-xyz-launcher # name of the launch config to invoke for new instances --min-size 1 # minimum number of nodes in the group --max-size 5 # maximum number of nodes in the group --default-cooldown 300 # period to wait (in seconds) after each scaling event, before checking if another scaling event is required --availability-zones eu-west-1a eu-west-1b eu-west-1c # which availability zones you want your instances to be allocated in – multiple entries means EC@ will use any of them 3. Create a scale-up policy The policy dictates what will happen in response to a scaling event being triggered from a “high” alarm being breached. It links to the auto-scaling group; this sample results in one additional node being spun up: as-put-scaling-policy scale-up-policy # policy name -g sc-psod-woker-asg # auto-scaling group the policy works with --adjustment 1 # size of the adjustment --region eu-west-1 # region --type ChangeInCapacity # type of adjustment, this specifies a fixed number of nodes, but you can use PercentChangeInCapacity to make an adjustment relative to the current number of nodes, e.g. increasing by 50% 4. Create a scale-down policy The policy dictates what will happen in response to a scaling event being triggered from a “low” alarm being breached. It links to the auto-scaling group; this sample results in one node from the group being taken offline: as-put-scaling-policy scale-down-policy -g sc-psod-woker-asg "--adjustment=-1" # in Windows, use double-quotes to surround a negative adjustment value –-type ChangeInCapacity --region eu-west-1 5. Create a “high” CloudWatch alarm We’re done with the command line now. In the Web Console, open up the CloudWatch view and create a new alarm. This alarm will monitor your metrics and invoke the scale-up policy from your auto-scaling group, when the group is working too hard. Configure your metric – this example will fire the alarm if there are more than 10 messages in my queue for over a minute: Then link the alarm to the scale-up policy in your group: 6. Create a “low” CloudWatch alarm The opposite of step 4, this alarm will trigger when the instances in your group don’t have enough work to do (e.g fewer than 2 messages in the queue for 1 minute), and will invoke the scale-down policy. And that’s it. You don’t need your original VM as the auto-scale group has a minimum number of nodes connected. You can test out the scaling by flexing your CloudWatch metric – in this example, filling up a queue from a  stub publisher – and watching AWS create new nodes as required, then stopping the publisher and watch AWS kill off the spare nodes.

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  • Windows Azure Service Bus Splitter and Aggregator

    - by Alan Smith
    This article will cover basic implementations of the Splitter and Aggregator patterns using the Windows Azure Service Bus. The content will be included in the next release of the “Windows Azure Service Bus Developer Guide”, along with some other patterns I am working on. I’ve taken the pattern descriptions from the book “Enterprise Integration Patterns” by Gregor Hohpe. I bought a copy of the book in 2004, and recently dusted it off when I started to look at implementing the patterns on the Windows Azure Service Bus. Gregor has also presented an session in 2011 “Enterprise Integration Patterns: Past, Present and Future” which is well worth a look. I’ll be covering more patterns in the coming weeks, I’m currently working on Wire-Tap and Scatter-Gather. There will no doubt be a section on implementing these patterns in my “SOA, Connectivity and Integration using the Windows Azure Service Bus” course. There are a number of scenarios where a message needs to be divided into a number of sub messages, and also where a number of sub messages need to be combined to form one message. The splitter and aggregator patterns provide a definition of how this can be achieved. This section will focus on the implementation of basic splitter and aggregator patens using the Windows Azure Service Bus direct programming model. In BizTalk Server receive pipelines are typically used to implement the splitter patterns, with sequential convoy orchestrations often used to aggregate messages. In the current release of the Service Bus, there is no functionality in the direct programming model that implements these patterns, so it is up to the developer to implement them in the applications that send and receive messages. Splitter A message splitter takes a message and spits the message into a number of sub messages. As there are different scenarios for how a message can be split into sub messages, message splitters are implemented using different algorithms. The Enterprise Integration Patterns book describes the splatter pattern as follows: How can we process a message if it contains multiple elements, each of which may have to be processed in a different way? Use a Splitter to break out the composite message into a series of individual messages, each containing data related to one item. The Enterprise Integration Patterns website provides a description of the Splitter pattern here. In some scenarios a batch message could be split into the sub messages that are contained in the batch. The splitting of a message could be based on the message type of sub-message, or the trading partner that the sub message is to be sent to. Aggregator An aggregator takes a stream or related messages and combines them together to form one message. The Enterprise Integration Patterns book describes the aggregator pattern as follows: How do we combine the results of individual, but related messages so that they can be processed as a whole? Use a stateful filter, an Aggregator, to collect and store individual messages until a complete set of related messages has been received. Then, the Aggregator publishes a single message distilled from the individual messages. The Enterprise Integration Patterns website provides a description of the Aggregator pattern here. A common example of the need for an aggregator is in scenarios where a stream of messages needs to be combined into a daily batch to be sent to a legacy line-of-business application. The BizTalk Server EDI functionality provides support for batching messages in this way using a sequential convoy orchestration. Scenario The scenario for this implementation of the splitter and aggregator patterns is the sending and receiving of large messages using a Service Bus queue. In the current release, the Windows Azure Service Bus currently supports a maximum message size of 256 KB, with a maximum header size of 64 KB. This leaves a safe maximum body size of 192 KB. The BrokeredMessage class will support messages larger than 256 KB; in fact the Size property is of type long, implying that very large messages may be supported at some point in the future. The 256 KB size restriction is set in the service bus components that are deployed in the Windows Azure data centers. One of the ways of working around this size restriction is to split large messages into a sequence of smaller sub messages in the sending application, send them via a queue, and then reassemble them in the receiving application. This scenario will be used to demonstrate the pattern implementations. Implementation The splitter and aggregator will be used to provide functionality to send and receive large messages over the Windows Azure Service Bus. In order to make the implementations generic and reusable they will be implemented as a class library. The splitter will be implemented in the LargeMessageSender class and the aggregator in the LargeMessageReceiver class. A class diagram showing the two classes is shown below. Implementing the Splitter The splitter will take a large brokered message, and split the messages into a sequence of smaller sub-messages that can be transmitted over the service bus messaging entities. The LargeMessageSender class provides a Send method that takes a large brokered message as a parameter. The implementation of the class is shown below; console output has been added to provide details of the splitting operation. public class LargeMessageSender {     private static int SubMessageBodySize = 192 * 1024;     private QueueClient m_QueueClient;       public LargeMessageSender(QueueClient queueClient)     {         m_QueueClient = queueClient;     }       public void Send(BrokeredMessage message)     {         // Calculate the number of sub messages required.         long messageBodySize = message.Size;         int nrSubMessages = (int)(messageBodySize / SubMessageBodySize);         if (messageBodySize % SubMessageBodySize != 0)         {             nrSubMessages++;         }           // Create a unique session Id.         string sessionId = Guid.NewGuid().ToString();         Console.WriteLine("Message session Id: " + sessionId);         Console.Write("Sending {0} sub-messages", nrSubMessages);           Stream bodyStream = message.GetBody<Stream>();         for (int streamOffest = 0; streamOffest < messageBodySize;             streamOffest += SubMessageBodySize)         {                                     // Get the stream chunk from the large message             long arraySize = (messageBodySize - streamOffest) > SubMessageBodySize                 ? SubMessageBodySize : messageBodySize - streamOffest;             byte[] subMessageBytes = new byte[arraySize];             int result = bodyStream.Read(subMessageBytes, 0, (int)arraySize);             MemoryStream subMessageStream = new MemoryStream(subMessageBytes);               // Create a new message             BrokeredMessage subMessage = new BrokeredMessage(subMessageStream, true);             subMessage.SessionId = sessionId;               // Send the message             m_QueueClient.Send(subMessage);             Console.Write(".");         }         Console.WriteLine("Done!");     }} The LargeMessageSender class is initialized with a QueueClient that is created by the sending application. When the large message is sent, the number of sub messages is calculated based on the size of the body of the large message. A unique session Id is created to allow the sub messages to be sent as a message session, this session Id will be used for correlation in the aggregator. A for loop in then used to create the sequence of sub messages by creating chunks of data from the stream of the large message. The sub messages are then sent to the queue using the QueueClient. As sessions are used to correlate the messages, the queue used for message exchange must be created with the RequiresSession property set to true. Implementing the Aggregator The aggregator will receive the sub messages in the message session that was created by the splitter, and combine them to form a single, large message. The aggregator is implemented in the LargeMessageReceiver class, with a Receive method that returns a BrokeredMessage. The implementation of the class is shown below; console output has been added to provide details of the splitting operation.   public class LargeMessageReceiver {     private QueueClient m_QueueClient;       public LargeMessageReceiver(QueueClient queueClient)     {         m_QueueClient = queueClient;     }       public BrokeredMessage Receive()     {         // Create a memory stream to store the large message body.         MemoryStream largeMessageStream = new MemoryStream();           // Accept a message session from the queue.         MessageSession session = m_QueueClient.AcceptMessageSession();         Console.WriteLine("Message session Id: " + session.SessionId);         Console.Write("Receiving sub messages");           while (true)         {             // Receive a sub message             BrokeredMessage subMessage = session.Receive(TimeSpan.FromSeconds(5));               if (subMessage != null)             {                 // Copy the sub message body to the large message stream.                 Stream subMessageStream = subMessage.GetBody<Stream>();                 subMessageStream.CopyTo(largeMessageStream);                   // Mark the message as complete.                 subMessage.Complete();                 Console.Write(".");             }             else             {                 // The last message in the sequence is our completeness criteria.                 Console.WriteLine("Done!");                 break;             }         }                     // Create an aggregated message from the large message stream.         BrokeredMessage largeMessage = new BrokeredMessage(largeMessageStream, true);         return largeMessage;     } }   The LargeMessageReceiver initialized using a QueueClient that is created by the receiving application. The receive method creates a memory stream that will be used to aggregate the large message body. The AcceptMessageSession method on the QueueClient is then called, which will wait for the first message in a message session to become available on the queue. As the AcceptMessageSession can throw a timeout exception if no message is available on the queue after 60 seconds, a real-world implementation should handle this accordingly. Once the message session as accepted, the sub messages in the session are received, and their message body streams copied to the memory stream. Once all the messages have been received, the memory stream is used to create a large message, that is then returned to the receiving application. Testing the Implementation The splitter and aggregator are tested by creating a message sender and message receiver application. The payload for the large message will be one of the webcast video files from http://www.cloudcasts.net/, the file size is 9,697 KB, well over the 256 KB threshold imposed by the Service Bus. As the splitter and aggregator are implemented in a separate class library, the code used in the sender and receiver console is fairly basic. The implementation of the main method of the sending application is shown below.   static void Main(string[] args) {     // Create a token provider with the relevant credentials.     TokenProvider credentials =         TokenProvider.CreateSharedSecretTokenProvider         (AccountDetails.Name, AccountDetails.Key);       // Create a URI for the serivce bus.     Uri serviceBusUri = ServiceBusEnvironment.CreateServiceUri         ("sb", AccountDetails.Namespace, string.Empty);       // Create the MessagingFactory     MessagingFactory factory = MessagingFactory.Create(serviceBusUri, credentials);       // Use the MessagingFactory to create a queue client     QueueClient queueClient = factory.CreateQueueClient(AccountDetails.QueueName);       // Open the input file.     FileStream fileStream = new FileStream(AccountDetails.TestFile, FileMode.Open);       // Create a BrokeredMessage for the file.     BrokeredMessage largeMessage = new BrokeredMessage(fileStream, true);       Console.WriteLine("Sending: " + AccountDetails.TestFile);     Console.WriteLine("Message body size: " + largeMessage.Size);     Console.WriteLine();         // Send the message with a LargeMessageSender     LargeMessageSender sender = new LargeMessageSender(queueClient);     sender.Send(largeMessage);       // Close the messaging facory.     factory.Close();  } The implementation of the main method of the receiving application is shown below. static void Main(string[] args) {       // Create a token provider with the relevant credentials.     TokenProvider credentials =         TokenProvider.CreateSharedSecretTokenProvider         (AccountDetails.Name, AccountDetails.Key);       // Create a URI for the serivce bus.     Uri serviceBusUri = ServiceBusEnvironment.CreateServiceUri         ("sb", AccountDetails.Namespace, string.Empty);       // Create the MessagingFactory     MessagingFactory factory = MessagingFactory.Create(serviceBusUri, credentials);       // Use the MessagingFactory to create a queue client     QueueClient queueClient = factory.CreateQueueClient(AccountDetails.QueueName);       // Create a LargeMessageReceiver and receive the message.     LargeMessageReceiver receiver = new LargeMessageReceiver(queueClient);     BrokeredMessage largeMessage = receiver.Receive();       Console.WriteLine("Received message");     Console.WriteLine("Message body size: " + largeMessage.Size);       string testFile = AccountDetails.TestFile.Replace(@"\In\", @"\Out\");     Console.WriteLine("Saving file: " + testFile);       // Save the message body as a file.     Stream largeMessageStream = largeMessage.GetBody<Stream>();     largeMessageStream.Seek(0, SeekOrigin.Begin);     FileStream fileOut = new FileStream(testFile, FileMode.Create);     largeMessageStream.CopyTo(fileOut);     fileOut.Close();       Console.WriteLine("Done!"); } In order to test the application, the sending application is executed, which will use the LargeMessageSender class to split the message and place it on the queue. The output of the sender console is shown below. The console shows that the body size of the large message was 9,929,365 bytes, and the message was sent as a sequence of 51 sub messages. When the receiving application is executed the results are shown below. The console application shows that the aggregator has received the 51 messages from the message sequence that was creating in the sending application. The messages have been aggregated to form a massage with a body of 9,929,365 bytes, which is the same as the original large message. The message body is then saved as a file. Improvements to the Implementation The splitter and aggregator patterns in this implementation were created in order to show the usage of the patterns in a demo, which they do quite well. When implementing these patterns in a real-world scenario there are a number of improvements that could be made to the design. Copying Message Header Properties When sending a large message using these classes, it would be great if the message header properties in the message that was received were copied from the message that was sent. The sending application may well add information to the message context that will be required in the receiving application. When the sub messages are created in the splitter, the header properties in the first message could be set to the values in the original large message. The aggregator could then used the values from this first sub message to set the properties in the message header of the large message during the aggregation process. Using Asynchronous Methods The current implementation uses the synchronous send and receive methods of the QueueClient class. It would be much more performant to use the asynchronous methods, however doing so may well affect the sequence in which the sub messages are enqueued, which would require the implementation of a resequencer in the aggregator to restore the correct message sequence. Handling Exceptions In order to keep the code readable no exception handling was added to the implementations. In a real-world scenario exceptions should be handled accordingly.

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  • 64-bit Archives Needed

    - by user9154181
    A little over a year ago, we received a question from someone who was trying to build software on Solaris. He was getting errors from the ar command when creating an archive. At that time, the ar command on Solaris was a 32-bit command. There was more than 2GB of data, and the ar command was hitting the file size limit for a 32-bit process that doesn't use the largefile APIs. Even in 2011, 2GB is a very large amount of code, so we had not heard this one before. Most of our toolchain was extended to handle 64-bit sized data back in the 1990's, but archives were not changed, presumably because there was no perceived need for it. Since then of course, programs have continued to get larger, and in 2010, the time had finally come to investigate the issue and find a way to provide for larger archives. As part of that process, I had to do a deep dive into the archive format, and also do some Unix archeology. I'm going to record what I learned here, to document what Solaris does, and in the hope that it might help someone else trying to solve the same problem for their platform. Archive Format Details Archives are hardly cutting edge technology. They are still used of course, but their basic form hasn't changed in decades. Other than to fix a bug, which is rare, we don't tend to touch that code much. The archive file format is described in /usr/include/ar.h, and I won't repeat the details here. Instead, here is a rough overview of the archive file format, implemented by System V Release 4 (SVR4) Unix systems such as Solaris: Every archive starts with a "magic number". This is a sequence of 8 characters: "!<arch>\n". The magic number is followed by 1 or more members. A member starts with a fixed header, defined by the ar_hdr structure in/usr/include/ar.h. Immediately following the header comes the data for the member. Members must be padded at the end with newline characters so that they have even length. The requirement to pad members to an even length is a dead giveaway as to the age of the archive format. It tells you that this format dates from the 1970's, and more specifically from the era of 16-bit systems such as the PDP-11 that Unix was originally developed on. A 32-bit system would have required 4 bytes, and 64-bit systems such as we use today would probably have required 8 bytes. 2 byte alignment is a poor choice for ELF object archive members. 32-bit objects require 4 byte alignment, and 64-bit objects require 64-bit alignment. The link-editor uses mmap() to process archives, and if the members have the wrong alignment, we have to slide (copy) them to the correct alignment before we can access the ELF data structures inside. The archive format requires 2 byte padding, but it doesn't prohibit more. The Solaris ar command takes advantage of this, and pads ELF object members to 8 byte boundaries. Anything else is padded to 2 as required by the format. The archive header (ar_hdr) represents all numeric values using an ASCII text representation rather than as binary integers. This means that an archive that contains only text members can be viewed using tools such as cat, more, or a text editor. The original designers of this format clearly thought that archives would be used for many file types, and not just for objects. Things didn't turn out that way of course — nearly all archives contain relocatable objects for a single operating system and machine, and are used primarily as input to the link-editor (ld). Archives can have special members that are created by the ar command rather than being supplied by the user. These special members are all distinguished by having a name that starts with the slash (/) character. This is an unambiguous marker that says that the user could not have supplied it. The reason for this is that regular archive members are given the plain name of the file that was inserted to create them, and any path components are stripped off. Slash is the delimiter character used by Unix to separate path components, and as such cannot occur within a plain file name. The ar command hides the special members from you when you list the contents of an archive, so most users don't know that they exist. There are only two possible special members: A symbol table that maps ELF symbols to the object archive member that provides it, and a string table used to hold member names that exceed 15 characters. The '/' convention for tagging special members provides room for adding more such members should the need arise. As I will discuss below, we took advantage of this fact to add an alternate 64-bit symbol table special member which is used in archives that are larger than 4GB. When an archive contains ELF object members, the ar command builds a special archive member known as the symbol table that maps all ELF symbols in the object to the archive member that provides it. The link-editor uses this symbol table to determine which symbols are provided by the objects in that archive. If an archive has a symbol table, it will always be the first member in the archive, immediately following the magic number. Unlike member headers, symbol tables do use binary integers to represent offsets. These integers are always stored in big-endian format, even on a little endian host such as x86. The archive header (ar_hdr) provides 15 characters for representing the member name. If any member has a name that is longer than this, then the real name is written into a special archive member called the string table, and the member's name field instead contains a slash (/) character followed by a decimal representation of the offset of the real name within the string table. The string table is required to precede all normal archive members, so it will be the second member if the archive contains a symbol table, and the first member otherwise. The archive format is not designed to make finding a given member easy. Such operations move through the archive from front to back examining each member in turn, and run in O(n) time. This would be bad if archives were commonly used in that manner, but in general, they are not. Typically, the ar command is used to build an new archive from scratch, inserting all the objects in one operation, and then the link-editor accesses the members in the archive in constant time by using the offsets provided by the symbol table. Both of these operations are reasonably efficient. However, listing the contents of a large archive with the ar command can be rather slow. Factors That Limit Solaris Archive Size As is often the case, there was more than one limiting factor preventing Solaris archives from growing beyond the 32-bit limits of 2GB (32-bit signed) and 4GB (32-bit unsigned). These limits are listed in the order they are hit as archive size grows, so the earlier ones mask those that follow. The original Solaris archive file format can handle sizes up to 4GB without issue. However, the ar command was delivered as a 32-bit executable that did not use the largefile APIs. As such, the ar command itself could not create a file larger than 2GB. One can solve this by building ar with the largefile APIs which would allow it to reach 4GB, but a simpler and better answer is to deliver a 64-bit ar, which has the ability to scale well past 4GB. Symbol table offsets are stored as 32-bit big-endian binary integers, which limits the maximum archive size to 4GB. To get around this limit requires a different symbol table format, or an extension mechanism to the current one, similar in nature to the way member names longer than 15 characters are handled in member headers. The size field in the archive member header (ar_hdr) is an ASCII string capable of representing a 32-bit unsigned value. This places a 4GB size limit on the size of any individual member in an archive. In considering format extensions to get past these limits, it is important to remember that very few archives will require the ability to scale past 4GB for many years. The old format, while no beauty, continues to be sufficient for its purpose. This argues for a backward compatible fix that allows newer versions of Solaris to produce archives that are compatible with older versions of the system unless the size of the archive exceeds 4GB. Archive Format Differences Among Unix Variants While considering how to extend Solaris archives to scale to 64-bits, I wanted to know how similar archives from other Unix systems are to those produced by Solaris, and whether they had already solved the 64-bit issue. I've successfully moved archives between different Unix systems before with good luck, so I knew that there was some commonality. If it turned out that there was already a viable defacto standard for 64-bit archives, it would obviously be better to adopt that rather than invent something new. The archive file format is not formally standardized. However, the ar command and archive format were part of the original Unix from Bell Labs. Other systems started with that format, extending it in various often incompatible ways, but usually with the same common shared core. Most of these systems use the same magic number to identify their archives, despite the fact that their archives are not always fully compatible with each other. It is often true that archives can be copied between different Unix variants, and if the member names are short enough, the ar command from one system can often read archives produced on another. In practice, it is rare to find an archive containing anything other than objects for a single operating system and machine type. Such an archive is only of use on the type of system that created it, and is only used on that system. This is probably why cross platform compatibility of archives between Unix variants has never been an issue. Otherwise, the use of the same magic number in archives with incompatible formats would be a problem. I was able to find information for a number of Unix variants, described below. These can be divided roughly into three tribes, SVR4 Unix, BSD Unix, and IBM AIX. Solaris is a SVR4 Unix, and its archives are completely compatible with those from the other members of that group (GNU/Linux, HP-UX, and SGI IRIX). AIX AIX is an exception to rule that Unix archive formats are all based on the original Bell labs Unix format. It appears that AIX supports 2 formats (small and big), both of which differ in fundamental ways from other Unix systems: These formats use a different magic number than the standard one used by Solaris and other Unix variants. They include support for removing archive members from a file without reallocating the file, marking dead areas as unused, and reusing them when new archive items are inserted. They have a special table of contents member (File Member Header) which lets you find out everything that's in the archive without having to actually traverse the entire file. Their symbol table members are quite similar to those from other systems though. Their member headers are doubly linked, containing offsets to both the previous and next members. Of the Unix systems described here, AIX has the only format I saw that will have reasonable insert/delete performance for really large archives. Everyone else has O(n) performance, and are going to be slow to use with large archives. BSD BSD has gone through 4 versions of archive format, which are described in their manpage. They use the same member header as SVR4, but their symbol table format is different, and their scheme for long member names puts the name directly after the member header rather than into a string table. GNU/Linux The GNU toolchain uses the SVR4 format, and is compatible with Solaris. HP-UX HP-UX seems to follow the SVR4 model, and is compatible with Solaris. IRIX IRIX has 32 and 64-bit archives. The 32-bit format is the standard SVR4 format, and is compatible with Solaris. The 64-bit format is the same, except that the symbol table uses 64-bit integers. IRIX assumes that an archive contains objects of a single ELFCLASS/MACHINE, and any archive containing ELFCLASS64 objects receives a 64-bit symbol table. Although they only use it for 64-bit objects, nothing in the archive format limits it to ELFCLASS64. It would be perfectly valid to produce a 64-bit symbol table in an archive containing 32-bit objects, text files, or anything else. Tru64 Unix (Digital/Compaq/HP) Tru64 Unix uses a format much like ours, but their symbol table is a hash table, making specific symbol lookup much faster. The Solaris link-editor uses archives by examining the entire symbol table looking for unsatisfied symbols for the link, and not by looking up individual symbols, so there would be no benefit to Solaris from such a hash table. The Tru64 ld must use a different approach in which the hash table pays off for them. Widening the existing SVR4 archive symbol tables rather than inventing something new is the simplest path forward. There is ample precedent for this approach in the ELF world. When ELF was extended to support 64-bit objects, the approach was largely to take the existing data structures, and define 64-bit versions of them. We called the old set ELF32, and the new set ELF64. My guess is that there was no need to widen the archive format at that time, but had there been, it seems obvious that this is how it would have been done. The Implementation of 64-bit Solaris Archives As mentioned earlier, there was no desire to improve the fundamental nature of archives. They have always had O(n) insert/delete behavior, and for the most part it hasn't mattered. AIX made efforts to improve this, but those efforts did not find widespread adoption. For the purposes of link-editing, which is essentially the only thing that archives are used for, the existing format is adequate, and issues of backward compatibility trump the desire to do something technically better. Widening the existing symbol table format to 64-bits is therefore the obvious way to proceed. For Solaris 11, I implemented that, and I also updated the ar command so that a 64-bit version is run by default. This eliminates the 2 most significant limits to archive size, leaving only the limit on an individual archive member. We only generate a 64-bit symbol table if the archive exceeds 4GB, or when the new -S option to the ar command is used. This maximizes backward compatibility, as an archive produced by Solaris 11 is highly likely to be less than 4GB in size, and will therefore employ the same format understood by older versions of the system. The main reason for the existence of the -S option is to allow us to test the 64-bit format without having to construct huge archives to do so. I don't believe it will find much use outside of that. Other than the new ability to create and use extremely large archives, this change is largely invisible to the end user. When reading an archive, the ar command will transparently accept either form of symbol table. Similarly, the ELF library (libelf) has been updated to understand either format. Users of libelf (such as the link-editor ld) do not need to be modified to use the new format, because these changes are encapsulated behind the existing functions provided by libelf. As mentioned above, this work did not lift the limit on the maximum size of an individual archive member. That limit remains fixed at 4GB for now. This is not because we think objects will never get that large, for the history of computing says otherwise. Rather, this is based on an estimation that single relocatable objects of that size will not appear for a decade or two. A lot can change in that time, and it is better not to overengineer things by writing code that will sit and rot for years without being used. It is not too soon however to have a plan for that eventuality. When the time comes when this limit needs to be lifted, I believe that there is a simple solution that is consistent with the existing format. The archive member header size field is an ASCII string, like the name, and as such, the overflow scheme used for long names can also be used to handle the size. The size string would be placed into the archive string table, and its offset in the string table would then be written into the archive header size field using the same format "/ddd" used for overflowed names.

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  • Take Advantage of Oracle's Ongoing Assurance Effort!

    - by eric.maurice
    Hi, this is Eric Maurice again! A few years ago, I posted a blog entry, which discussed the psychology of patching. The point of this blog entry was that a natural tendency existed for systems and database administrators to be reluctant to apply patches, even security patches, because of the fear of "breaking" the system. Unfortunately, this belief in the principle "if it ain't broke, don't fix it!" creates significant risks for organizations. Running systems without applying the proper security patches can greatly compromise the security posture of the organization because the security controls available in the affected system may be compromised as a result of the existence of the unfixed vulnerabilities. As a result, Oracle continues to strongly recommend that customers apply all security fixes as soon as possible. Most recently, I have had a number of conversations with customers who questioned the need to upgrade their highly stable but otherwise unsupported Oracle systems. These customers wanted to know more about the kind of security risks they were exposed to, by running obsolete versions of Oracle software. As per Oracle Support Policies, Critical Patch Updates are produced for currently supported products. In other words, Critical Patch Updates are not created by Oracle for product versions that are no longer covered under the Premier Support or Extended Support phases of the Lifetime Support Policy. One statement used in each Critical Patch Update Advisory is particularly important: "We recommend that customers upgrade to a supported version of Oracle products in order to obtain patches. Unsupported products, releases and versions are not tested for the presence of vulnerabilities addressed by this Critical Patch Update. However, it is likely that earlier versions of affected releases are also affected by these vulnerabilities." The purpose of this warning is to inform Oracle customers that a number of the vulnerabilities fixed in each Critical Patch Update may affect older versions of a specific product line. In other words, each Critical Patch Update provides a number of fixes for currently supported versions of a given product line (this information is listed for each bug in the Risk Matrices of the Critical Patch Update Advisory), but the unsupported versions in the same product line, while they may be affected by the vulnerabilities, will not receive the fixes, and are therefore vulnerable to attacks. The risk assumed by organizations wishing to remain on unsupported versions is amplified by the behavior of malicious hackers, who typically will attempt to, and sometimes succeed in, reverse-engineering the content of vendors' security fixes. As a result, it is not uncommon for exploits to be published soon after Oracle discloses vulnerabilities with the release of a Critical Patch Update or Security Alert. Let's consider now the nature of the vulnerabilities that may exist in obsolete versions of Oracle software. A number of severe vulnerabilities have been fixed by Oracle over the years. While Oracle does not test unsupported products, releases and versions for the presence of vulnerabilities addressed by each Critical Patch Update, it should be assumed that a number of the vulnerabilities fixed with the Critical Patch Update program do exist in unsupported versions (regardless of the product considered). The most severe vulnerabilities fixed in past Critical Patch Updates may result in full compromise of the targeted systems, down to the OS level, by remote and unauthenticated users (these vulnerabilities receive a CVSS Base Score of 10.0) or almost as critically, may result in the compromise of the affected systems (without compromising the underlying OS) by a remote and unauthenticated users (these vulnerabilities receive a CVSS Base Score of 7.5). Such vulnerabilities may result in complete takeover of the targeted machine (for the CVSS 10.0), or may result in allowing the attacker the ability to create a denial of service against the affected system or even hijacking or stealing all the data hosted by the compromised system (for the CVSS 7.5). The bottom line is that organizations should assume the worst case: that the most critical vulnerabilities are present in their unsupported version; therefore, it is Oracle's recommendation that all organizations move to supported systems and apply security patches in a timely fashion. Organizations that currently run supported versions but may be late in their security patch release level can quickly catch up because most Critical Patch Updates are cumulative. With a few exceptions noted in Oracle's Critical Patch Update Advisory, the application of the most recent Critical Patch Update will bring these products to current security patch level and provide the organization with the best possible security posture for their patch level. Furthermore, organizations are encouraged to upgrade to most recent versions as this will greatly improve their security posture. At Oracle, our security fixing policies state that security fixes are produced for the main code line first, and as a result, our products benefit from the mistakes made in previous version(s). Our ongoing assurance effort ensures that we work diligently to fix the vulnerabilities we find, and aim at constantly improving the security posture our products provide by default. Patch sets include numerous in-depth fixes in addition to those delivered through the Critical Patch Update and, in certain instances, important security fixes require major architectural changes that can only be included in new product releases (and cannot be backported through the Critical Patch Update program). For More Information: • Mary Ann Davidson is giving a webcast interview on Oracle Software Security Assurance on February 24th. The registration link for attending this webcast is located at http://event.on24.com/r.htm?e=280304&s=1&k=6A7152F62313CA09F77EBCEEA9B6294F&partnerref=EricMblog • A blog entry discussing Oracle's practices for ensuring the quality of Critical patch Updates can be found at http://blogs.oracle.com/security/2009/07/ensuring_critical_patch_update_quality.html • The blog entry "To patch or not to patch" is located at http://blogs.oracle.com/security/2008/01/to_patch_or_not_to_patch.html • Oracle's Support Policies are located at http://www.oracle.com/us/support/policies/index.html • The Critical Patch Update & Security Alert page is located at http://www.oracle.com/technetwork/topics/security/alerts-086861.html

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