How To Fix RSDRV_VPROHANA017 - Length of characteristic &1 (&3) and assigned attribute &2 (&4) not same

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDRV_VPROHANA - Message Class for VirtualProvider Based on SAP HANA Model

• Message number: 017

• Message text: Length of characteristic &1 (&3) and assigned attribute &2 (&4) not same

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSDRV_VPROHANA017 - Length of characteristic &1 (&3) and assigned attribute &2 (&4) not same ?

  The SAP error message RSDRV_VPROHANA017 indicates a mismatch in the lengths of a characteristic and its assigned attribute in the context of SAP BW (Business Warehouse) or SAP HANA. This error typically arises when the data model is not properly aligned, leading to inconsistencies in data types or lengths.
  Cause:
  
  Length Mismatch: The primary cause of this error is that the length of the characteristic (e.g., a key figure or dimension) does not match the length of the assigned attribute. For example, if a characteristic is defined with a length of 10 characters, but the assigned attribute is defined with a length of 5 characters, this error will occur.
  Data Model Changes: Changes made to the data model, such as modifying the length of a characteristic or attribute after they have been defined, can lead to this inconsistency.
  Data Source Issues: If the data source from which the characteristic or attribute is derived has been altered, it may also lead to this error.
  
  Solution:
  
  Check Definitions: Review the definitions of the characteristic and the assigned attribute in the data model. Ensure that their lengths are consistent. You can do this by navigating to the relevant InfoObject or attribute in the SAP BW modeling tools.
  Adjust Lengths: If you find a mismatch, adjust the length of either the characteristic or the attribute to ensure they match. This may involve changing the data type or length in the InfoObject definition.
  Re-activate Objects: After making changes, you may need to re-activate the InfoObjects and any related objects (like InfoProviders or DataSources) to ensure that the changes take effect.
  Check Data Source: If the characteristic or attribute is derived from a data source, ensure that the data source is correctly defined and that it matches the expected lengths.
  Transport Requests: If changes were made in a development environment, ensure that they are properly transported to the production environment.
  
  Related Information:
  
  SAP Notes: Check SAP Notes related to this error message for any specific patches or updates that may address known issues.
  Data Modeling Guidelines: Refer to SAP documentation on best practices for data modeling in BW and HANA to avoid such issues in the future.
  Testing: After making changes, perform thorough testing to ensure that the data loads correctly and that the error does not reoccur.
  
  By following these steps, you should be able to resolve the RSDRV_VPROHANA017 error and ensure that your data model is consistent and functioning correctly.