How to use CNV_CLUST - Create cluster

SAP Transaction Code - Details

• Transaction Code: CNV_CLUST

  Description: Create cluster

  Release: S/4HANA and ECC 6

• • Program: CNV_00001_I_CLUSTER_CREATE

    Screen: 1000

    Authorization Object:

  • Development Package: CNV_BASIS

    Package Description: Conversion: Basis functions

    Parent Package: DMIS_BASIS_CWB

  • Module/Component: CA-LT

    Description: Landscape Transformation

Smart SAP Assistant

• SAP Tcode: CNV_CLUST - Create cluster

   table
  
  Overview: 
  CNV_CLUST is a transaction code used in SAP to create cluster tables. Cluster tables are used to store data in a compressed form, which helps to reduce the amount of disk space used and improve the performance of the system. 
  
  Functionality: 
  The CNV_CLUST transaction code allows users to create cluster tables in SAP. Cluster tables are used to store data in a compressed form, which helps to reduce the amount of disk space used and improve the performance of the system. The data stored in cluster tables is organized into clusters, which are groups of related records that are stored together. This helps to reduce the amount of disk space used and improve the performance of the system. 
  
  Step-by-step How to Use: 
  1. Log into SAP and enter transaction code CNV_CLUST. 
  2. Enter the name of the cluster table you want to create. 
  3. Enter the name of the table you want to store in the cluster table. 
  4. Enter the size of each cluster record (in bytes). 
  5. Enter the number of records you want to store in each cluster record. 
  6. Click “Create” to create your cluster table. 
  7. Click “Save” to save your changes. 
  
  Other Recommendations: 
  When creating a cluster table, it is important to consider how much disk space will be needed for each record and how many records will be stored in each cluster record. It is also important to consider how often the data will be accessed and how often it will need to be updated or changed. Additionally, it is important to consider how much memory will be needed for each record and how many records will be stored in each cluster record.