How To Fix RT575 - &1 &3 > &2 &3 (15 Min.) trans. spec. DB query time exceeds threshold

SAP Error Message - Details

• Message type: E = Error

• Message class: RT - Monitoring infrastructure MSG and alert texts

• Message number: 575

• Message text: &1 &3 > &2 &3 (15 Min.) trans. spec. DB query time exceeds threshold

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 RT575 - &1 &3 > &2 &3 (15 Min.) trans. spec. DB query time exceeds threshold ?

  The SAP error message RT575 indicates that a database query has exceeded a specified threshold for execution time, which can lead to performance issues in the system. This message is typically related to performance monitoring and can be triggered by long-running database queries that take longer than expected to execute.
  Cause:
  
  Long-Running Queries: The primary cause of this error is that a database query is taking longer than the defined threshold (in this case, 15 minutes) to execute.
  Inefficient SQL Statements: Poorly optimized SQL queries can lead to longer execution times.
  Database Performance Issues: Issues such as locking, insufficient resources (CPU, memory, I/O), or suboptimal database configuration can contribute to slow query performance.
  Large Data Volumes: Queries that process large amounts of data can exceed the time threshold.
  Network Latency: If the database is remote, network issues can also contribute to longer execution times.
  
  Solution:
  
  Analyze the Query: Use transaction codes like ST05 (SQL Trace) or ST12 (Single Transaction Analysis) to trace the SQL statements and identify which queries are taking too long.
  Optimize SQL Statements: Review and optimize the SQL queries to ensure they are efficient. This may involve:
  
  Adding appropriate indexes.
  Avoiding unnecessary joins or subqueries.
  Reducing the amount of data processed (e.g., using WHERE clauses).
  
  
  Database Tuning: Work with your database administrator to tune the database settings, such as memory allocation, cache settings, and other performance-related parameters.
  Increase Threshold: If the long execution time is acceptable for specific queries, consider increasing the threshold for those queries. However, this should be done cautiously and only after ensuring that the performance is acceptable.
  Monitor System Resources: Check the system resources (CPU, memory, disk I/O) to ensure that the database server is not under heavy load.
  Review Application Logic: Sometimes, the application logic can lead to inefficient database access patterns. Review the application code to ensure it is not causing unnecessary database calls.
  
  Related Information:
  
  Transaction Codes: Use transaction codes like ST22 (Dump Analysis), SM21 (System Log), and SM37 (Job Monitoring) to gather more information about the system's performance and any related issues.
  Performance Monitoring Tools: Consider using SAP's performance monitoring tools, such as the SAP Solution Manager, to get a comprehensive view of system performance.
  Database-Specific Tools: Depending on the database being used (e.g., Oracle, SQL Server, HANA), there may be specific tools and techniques available for performance tuning and monitoring.
  
  By addressing the underlying causes of the long-running queries and optimizing both the queries and the database environment, you can resolve the RT575 error and improve overall system performance.