Test data for the ABAP Function

Hello Experts,
Can you please provide me the valid test data for the function modules?
    /SCA/BIF_WORKINPROCESS_BO
                       and
    /SCA/BIF_WORKORDINF_MS
Thanks and Regards,
Kuldeep Verma

Hi ,
If u want to use the same data to test your function module then we can use this button. To use this button simply press F8 --> give the test data --> And then save this test in the test directory using the SAVE button.
--> Next time when retest it then their is no need to give all the other information just press Test Data directory..
Hope you understand.
Kuldeep

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    Hi IB!
    Please check the following links for docu:
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    Run time tests
    Here are some test results, done on an i5 2.9Ghz with 6Gb of RAM. Sorting a random array of integers. Each test is repeated 5000 times. Times shown in milliseconds.
    size std::sort() Triple State QuickSort
    5000 2039 1609
    6000 2412 1900
    7000 2733 2220
    8000 2993 2484
    9000 3361 2778
    10000 3591 3093
    It gets even faster when used with other types of input or when the size of each element is large. The following test is done for random large arrays of up to 1000000 elements where each element size is 56 bytes. Test is repeated 25 times.
    size std::sort() Triple State QuickSort
    100000 1607 424
    200000 3165 845
    300000 4534 1287
    400000 6461 1700
    500000 7668 2123
    600000 9794 2548
    700000 10745 3001
    800000 12343 3425
    900000 13790 3865
    1000000 15663 4348
    Further extensive tests has been done following Jon Bentley’s framework of tests for the following input array types:
    sawtooth: ar[i] = i % arange
    random: ar[i] = GenRand() % arange + 1
    stagger: ar[i] = (i* arange + i) % n
    plateau: ar[i] = min(i, arange)
    shuffle: ar[i] = rand()%arange? (j+=2): (k+=2)
    I also add the following two input types, just to add a little torture:
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    Organ Pipes: (see full code for details)
    Where each case above is sorted then reordered in 6 deferent ways then sorted again after each reorder as follows:
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    Note: GenRand() above is a certified random number generator based on Park-Miller method. This is to avoid any non-uniform behavior in C++ rand().
    The complete test results can be found here:
    http://solostuff.net/tsqsort/Tests_Percentage_Improvement_VC++.xls
    or:
    https://docs.google.com/spreadsheets/d/1wxNOAcuWT8CgFfaZzvjoX8x_WpusYQAlg0bXGWlLbzk/edit?usp=sharing
    Theoretical Analysis
    A Classical Quicksort algorithm performs less than 2n*ln(n) comparisons on the average (check JACEK CICHON’s paper) and less than 0.333n*ln(n) swaps on the average (check Wild and Nebel’s paper). Triple state will perform about the same number of comparisons
    but with less swaps of about 0.222n*ln(n) in theory. In practice however, Triple State Quicksort will perform even less comparisons in large arrays because of a new 5 stage pivot selection algorithm that is used. Here is the detailed theoretical analysis:
    http://solostuff.net/tsqsort/Asymptotic_analysis_of_Triple_State_Quicksort.pdf
    Using SSE2 instruction set
    SSE2 uses the 128bit sized XMM registers that can do memory copy operations in parallel since there are 8 registers of them. SSE2 is primarily used in speeding up copying large memory blocks in real-time graphics demanding applications.
    In order to use SSE2, copied memory blocks have to be 16byte aligned. Triple State Quicksort will automatically detect if element size and the array starting address are 16byte aligned and if so, will switch to using SSE2 instructions for extra speedup. This
    decision is made only once when the function is called so it has minor overhead.
    Few other notes
    - The standard C++ sorting function in almost all platforms religiously takes a “call back pointer” to a comparison function that the user/programmer provides. This is obviously for flexibility and to allow closed sourced libraries. Triple State
    defaults to using a call back function. However, call back functions have bad overhead when called millions of times. Using inline/operator or macro based comparisons will greatly improve performance. An improvement of about 30% to 40% can be expected. Thus,
    I seriously advise against using a call back function when ever possible. You can disable the call back function in my code by #undefining CALL_BACK precompiler directive.
    - Like most other efficient implementations, Triple State switches to insertion sort for tiny arrays, whenever the size of a sub-part of the array is less than TINY_THRESH directive. This threshold is empirically chosen. I set it to 15. Increasing this
    threshold will improve the speed when sorting nearly sorted and reversed arrays, or arrays that are concatenations of both cases (which are common). But will slow down sorting random or other types of arrays. To remedy this, I provide a dual threshold method
    that can be enabled by #defining DUAL_THRESH directive. Once enabled, another threshold TINY_THRESH2 will be used which should be set lower than TINY_THRESH. I set it to 9. The algorithm is able to “guess” if the array or sub part of the array is already sorted
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    - You can #define the RANDOM_SAMPLES precompiler directive to add randomness to the pivoting system to lower the chances of the worst case happening at a minor performance hit.
    -When element size is very large (320 bytes or more). The function/algorithm uses a new “late swapping” method. This will auto create an internal array of pointers, sort the pointers array, then swap the original array elements to sorted order using minimal
    swaps for a maximum of n/2 swaps. You can change the 320 bytes threshold with the LATE_SWAP_THRESH directive.
    - The function provided here is optimized to the bone for performance. It is one monolithic piece of complex code that is ugly, and almost unreadable. Sorry about that, but inorder to achieve improved speed, I had to ignore common and good coding standards
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    Finally, I would like to present the new function to Microsoft and the community for further investigation and possibly, inclusion in VC++ or any C++ library as a replacement for the sorting function.
    You can find the complete VC++ project/code along with a minimal test program here:
    http://solostuff.net/tsqsort/
    Important: To fairly compare two sorting functions, both should either use or NOT use a call back function. If one uses and another doesn’t, then you will get unfair results, the one that doesn’t use a call back function will most likely win no matter how bad
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    Ammar Muqaddas

    Thanks for your interest.
    Excuse my ignorance as I'm not sure what you meant by "1 of 5" optimization. Did you mean median of 5 ?
    Regarding swapping pointers, yes it is common sense and rather common among programmers to swap pointers instead of swapping large data types, at the small price of indirect access to the actual data through the pointers.
    However, there is a rather unobvious and quite terrible side effect of using this trick. After the pointer array is sorted, sequential (sorted) access to the actual data throughout the remaining of the program will suffer heavily because of cache misses.
    Memory is being accessed randomly because the pointers still point to the unsorted data causing many many cache misses, which will render the program itself slow, although the sort was fast!!.
    Multi-threaded qsort is a good idea in principle and easy to implement obviously because qsort itself is recursive. The thing is Multi-threaded qsort is actually just stealing CPU time from other cores that might be busy running other apps, this might slow
    down other apps, which might not be ideal for servers. The thing researchers usually try to do is to do the improvement in the algorithm it self.
    I Will try to look at your sorting code, lets see if I can compile it.

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