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MASS_C_PARALLEL Table in SAP | Setting for MASS parallel customizing Table & Fields List

MASS_C_PARALLEL is a SAP table coming under CRM module and BBPCRM component.View details, Fields & related tables of MASS_C_PARALLEL in SAP.

  • Table description : Setting for MASS parallel customizing
  • Module : CRM
  • Parent Module : CRM
  • Package : MGA
  • Software Component : BBPCRM
MASS_C_PARALLEL table in SAP

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SAP MASS_C_PARALLEL Table Fields structure

FieldNoteData ElementDomain
MANDTClientMANDTMANDT
APPL_IDApplication Enabled for Mass ProcessingMASS_APPLICATIONMASS_APPLICATION
.INCLUDECustomizing for mass processing    
ASYNCHIndicator for Asynchronous/Synchronous ProcessingMASS_ASYNCHXFELD
.INCLUDECustomizing for parallel mass processing    
PARALLELIndicator for Parallel/Sequential ProcessingMASS_PARALLELXFELD
SERVER_GROUPServer Group for Parallel ProcessingSPTA_RFCGRRZLLI_ACN
MAX_PROCSMax. Number of Parallel ProcessesMASS_PROCSMASS_PROCS
MAX_UTILIZATIONMax. Utilization of Server Group in PercentMASS_UTILIZATIONMASS_UTILIZATION
PACKAGE_SIZENumber of Objects per ProcessMASS_REC_PER_PROC  

MASS_C_PARALLEL related tables

TableNote
MASS_C_PARALLELSetting for MASS parallel customizing
TOI0_ADMINGeneral setting (value/parameter setting)
BANK_PP_STEPDATAData for Processing Steps of a Parallel Mass Run
BKKM3BCA: Parameters for Mass Runs in Parallel Processing
DDPAMSCTRLDD: Controls Parallel Handling during Mass Activation
EMA_ENQGlobal Lock for Mass Activity for Mass Run
ESMON_MASS_ACTMonitoring Mass Run: Supported Mass Activity Types =Obsolete
ESMON_MASS_ACT_AMonitoring Mass Run: Activated Mass Activity Types
ACTCMBSY_TXT_TABText table for the customizing tab for setting the priority.
FCML_NWG_CUST_MFCML NWG user customizing setting, master data table
FIORI_COMMON_CUSCommon oData Customizing Setting
HRSPUSR_CUSTShift Planning: User-specific Customizing Setting
/MRSS/C_DPR_ROLECustomizing: MRS relevant setting for the project role type
BEAC_BTY_NPL_PPCustomizing for price list parallel processing
CRMC_MKTCCM_PARAParallel Customizing for Collaborative Scenario
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