APO DP - use of parallelisation profiles

Question

I am using APO DP V5.
Has anyone any experience of using parallelisation profiles (/sapapo/sdp_par) to speed up job processing times?
What is the recommended number of parallel processes?
Thanks,
Bob Austin, Atos Origin

Answer 1

Yes we have used it in our projects for improvement of processing time..
Depend on the data volume of each applications, we have maintaied the block size
Parallele processing is always useful for the huge data to be process in Background.
To improve the performance of such background jobs it is often advisable to run these jobs in several parallel processes
By using parallel processing you no longer have to split jobs into smaller units
Parallele Processing Profile Attributes:
If you see in the Process field max you can maintain 9999
Block Location Product :If you do not specify a block size, the program uses a block size of 20,000 as the default value.
e.g. of block size
You want to copy 13,000 location products and have chosen a block size of 5,000. The program starts three parallel work processes. 5,000 location products are copied in the first and second work processes, and 3,000 are copied in the third.
Block Size Peging area:
If you do not specify a block size, the program uses a block size of 10,000 pegging areas as the default value.
e.g.: You want to copy 13,000 pegging areas and have chosen a block size of 5,000. The program starts three parallel work processes. 5,000 pegging areas are copied in the first and second work processes, and 3,000 are copied in the third.
Block Size Orders:If you do not specify a block size, the system uses a block size of 500 orders as the default value.
Block Size Stock:If you do not specify a block size, the program uses a block size of 1000 stocks as the default value.
No Order Serialization:When orders are copied in parallel, serialization effects can occur in liveCache due to locks. This means that order posting can be executed one after another in liveCache due to locks, although the program has started the work processes in parallel.
If you set this indicator, serialization of orders does not occur, but the orders are actually processed in parallel. You can thereby improve performance when copying orders.
Block size : The number of elements processed in one process. The data objects that correspond to these elements differ from application to application
Maximum number of parallel processes :
Since one process is required for control purposes, the smallest entry in this field that results in performance improvements is 3.
You can assign a server group to the profile so that the system only uses particular servers parallel processing. Other servers can then be ‘reserved’ for users working online. You cannot create these server groups yourself; contact your system administration if you require new groups.
You can also define the block size. There are minimum and maximum value for each application in the system. If you make no entry, the system uses a default value that is defined for each application.
Note: It is advisable : Although it is technically possible, working with parallel processing with a dialog job(online execution) is not advisable. In this case the main process, which controls the parallel work processes, is a dialog process. For various technical reasons this can lead to a noticeable deterioration in performance.