How To Fix DA643 - Table & change from column to row store

SAP Error Message - Details

• Message type: E = Error

• Message class: DA - Dictionary: Compare, distribution, timer, instantiation

• Message number: 643

• Message text: Table & change from column to row store

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message DA643 - Table & change from column to row store ?

  The SAP error message DA643 typically indicates an issue related to the database table's storage type in SAP HANA. This error occurs when there is an attempt to change a table from a column store to a row store, which is not allowed in certain scenarios. Here’s a breakdown of the cause, potential solutions, and related information:
  Cause:
  
  Storage Type Restriction: In SAP HANA, tables can be stored in either column store or row store formats. The error DA643 arises when there is an attempt to change a table that is currently defined as a column store to a row store, which is not permitted if the table contains certain types of data or if it has specific constraints.
  Data Type Limitations: Certain data types or structures may not be compatible with a row store format.
  Existing Data: If the table already contains data, changing the storage type may not be allowed due to the way data is organized in columnar format.
  
  Solution:
  
  Create a New Table: Instead of changing the storage type of an existing table, you can create a new table with the desired storage type (row store) and then migrate the data from the old table to the new one. This can be done using SQL commands like INSERT INTO new_table SELECT * FROM old_table;.
  Check Table Definition: Review the table definition and ensure that it does not contain any incompatible data types or constraints that would prevent the change.
  Use SAP HANA Studio or SQL Console: You can use tools like SAP HANA Studio or the SQL console to execute the necessary commands to create a new table and migrate data.
  Consult Documentation: Refer to the SAP HANA documentation for specific guidelines on table storage types and the limitations associated with them.
  
  Related Information:
  
  SAP HANA Storage Types: Understand the differences between column store and row store in SAP HANA. Column store is optimized for analytical queries, while row store is better suited for transactional workloads.
  Data Migration: Familiarize yourself with data migration techniques in SAP HANA, including the use of data provisioning tools.
  Performance Considerations: Consider the performance implications of using different storage types based on your application’s requirements.
  
  If you continue to face issues or if the situation is more complex, it may be beneficial to consult with an SAP Basis or HANA expert who can provide tailored assistance based on your specific environment and requirements.