How To Fix CM_MDQLTYRULEMINING034 - Field &2 must not be initial for table &1

SAP Error Message - Details

• Message type: E = Error

• Message class: CM_MDQLTYRULEMINING - Messages for Rule Mining Run

• Message number: 034

• Message text: Field &2 must not be initial for table &1

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message CM_MDQLTYRULEMINING034 - Field &2 must not be initial for table &1 ?

  The SAP error message CM_MDQLTYRULEMINING034 indicates that a specific field in a table must not be empty (initial) when performing a certain operation, typically related to data quality rules or mining processes. This error is often encountered in the context of data quality management or data mining applications within SAP.
  Cause:
  The error occurs when a required field (denoted as &2) in a specified table (denoted as &1) is found to be empty or uninitialized. This can happen due to various reasons, such as:
  
  Missing data during data entry or data import processes.
  Incorrect configuration of data quality rules that expect certain fields to be populated.
  Data extraction processes that do not fill in mandatory fields.
  
  Solution:
  To resolve this error, you can take the following steps:
  
  
  Identify the Table and Field: Check the error message for the specific table (&1) and field (&2) that is causing the issue. This will help you understand where the problem lies.
  
  
  Check Data Entry: Ensure that the required field is populated with valid data. If you are entering data manually, make sure to fill in all mandatory fields.
  
  
  Review Data Import Processes: If the data is being imported from another system or file, verify that the import process is correctly mapping and populating the required fields.
  
  
  Validate Data Quality Rules: If you are using data quality rules, review the configuration to ensure that the rules are set up correctly and that they align with the data you are working with.
  
  
  Run Data Quality Checks: Use SAP's data quality tools to run checks on your data to identify any records that are missing required information.
  
  
  Consult Documentation: Refer to SAP documentation or help resources for specific guidance on the table and field in question, as well as any related data quality rules.
  
  
  Contact Support: If you are unable to resolve the issue, consider reaching out to SAP support or your internal IT team for further assistance.
  
  
  Related Information:
  
  SAP Data Quality Management: Familiarize yourself with SAP's data quality management tools and best practices to prevent similar issues in the future.
  Field Attributes: Check the attributes of the field in the data dictionary (transaction SE11) to understand its properties, such as whether it is marked as mandatory.
  Transaction Codes: Depending on your SAP version, you may use specific transaction codes to manage data quality rules or to view logs related to data processing.
  
  By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.