russianbrazerzkidai.blogg.se

Parallel processing
Parallel processing










parallel processing
  1. #Parallel processing code#
  2. #Parallel processing free#

IFuture allows you to establish a priority for the running code blocks and still return the results when needed.

  • Leave a process running focusing on other tasks and then get the result of that process at the point you want.
  • Run multiple tasks in parallel using TTask and ITask.
  • Make looping faster with TParallel.For.
  • Using the PPL, your applications can easily: The unit also includes a number of overloaded arguments to make it suitable for C++ as well as Delphi. This unit is made up of several features that can be included into new and existing projects. You can use this library by including System.Threading in your apps. For all this, there is a thread pool that self tunes itself automatically (based on the load on the CPU’s) so you do not have to care about creating or managing threads for this purpose. The PPL includes a number of advanced features for running tasks, joining tasks, waiting on groups of tasks, etc. The RTL provides the Parallel Programming Library (PPL), giving your applications the ability to have tasks running in parallel taking advantage of working across multiple CPU devices and computers. However, I only encountered it once, and we cut the parallelism built in the the process chain, and let the extractor program handle all the parallelism.Go Up to Using the RTL in Multi-Device Applications It wouldn’t take much effort to address this design issue. It is an issue if you have many programs using parallel processing at the same time, because the different programs don’t communicate with each other at all – assuming they have the whole system to themselves.

    #Parallel processing free#

    I used this when I’d written a BW extractor, and the person who set up the process chains to run the extractor was running it like twenty times in parallel, with each of those requesting 20 slots.Īs a result, although initially there were enough free processes, they rapidly ran out. This will cause a wait loop until there are enough resources again. The task for writing ABAP Unit Tests is left to the reader!Īfter the CALL FUNCTION, you can use the handle_resource_failure method.

    parallel processing

    Me->clear_thread( CONV char8( p_task ) ). " Free the thread for the next thread to run ĮXCEPTIONS communication_failure = 1 MESSAGE errmsg

    parallel processing

    DATA(thread) = me->handler->get_free_thread( ).ĬALL FUNCTION 'Z_.' STARTING NEW TASK threadĭESTINATION IN GROUP zcl_thread_handler=>c_default_groupįinally, in method on_end_of_action (which has a single importing parameter p_task type clike) in your main application, you receive the results. In your do_stuff_in_parallel method, you have the call to the function module that does the work. The first statement after the ENDLOOP should be WAIT UNTIL me->handler->all_threads_are_finished( ). Start your loop that contains the call to the logic that you want to run in parallel. (The code automatically limits it to no more than half of the available thread on the appserver). To use it, instantiate with a prefix to use for the task id, and the ideal number of threads you want to run in parallel. READ TABLE me->threads_list WITH KEY used = abap_false ASSIGNING field-symbol(). WAIT UNTIL me->used_threads LT me->threads. IF free_threads LE 1 AND me->threads GT 1. INSERT VALUE #( thread = me->task_prefix & threadn used = abap_false ) " Ensure that no more than half of the free threads are used READ TABLE me->threads_list WITH KEY used = abap_true thread = i_taskĭATA(free_threads) = me->get_free_threads( ). MESSAGE ID sy-msgid TYPE 'X' NUMBER sy-msgno WITH sy-msgv1 sy-msgv2 sy-msgv3 sy-msgv4. " Something has gone seriously wrong, so end it here. " Already initialised - get current number of free threadsĬALL FUNCTION 'SPBT_GET_CURR_RESOURCE_INFO' Threads_list TYPE TABLE OF ty_thread WITH DEFAULT KEY, !i_group TYPE rzlli_apcl DEFAULT c_default_group, Inspired by this blog, Bruno Esperança, I though I would share a useful, reusable class I developed for making parallel processing simple, by abstracting away and encapsulating all the technical stuff.Ĭ_default_group TYPE rzlli_apcl VALUE 'parallel_generators', "#EC NOTEXTĬ_task TYPE char6 VALUE 'PARALL'.












    Parallel processing