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Message type: E = Error
Message class: SMMSS_ALERTS - Message class for MSSQL rz20 messages
Message number: 072
Message text: &1% of logical reads caused by one statement
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SMMSS_ALERTS072
- &1% of logical reads caused by one statement ?The SAP error message SMMSS_ALERTS072 indicates that a specific SQL statement is causing a high number of logical reads, which can lead to performance issues in the system. The message typically includes a percentage value indicating the proportion of logical reads attributed to that particular statement.
Cause:
Inefficient SQL Query: The SQL statement may not be optimized, leading to excessive logical reads. This can happen due to:
- Missing indexes on the tables being queried.
- Poorly written joins or subqueries.
- Retrieving more data than necessary (e.g., using
SELECT *
instead of specifying required columns).Data Volume: The volume of data being processed can also contribute to high logical reads, especially if the tables involved are large and not properly indexed.
Database Configuration: Sometimes, the database configuration settings may not be optimal for the workload, leading to inefficient execution plans.
Solution:
Analyze the SQL Statement:
- Use tools like SQL Trace (ST05) or SQL Performance Analysis to identify the problematic SQL statement.
- Review the execution plan to understand how the database is processing the query.
Optimize the Query:
- Rewrite the SQL statement to make it more efficient. This may involve:
- Adding appropriate indexes to the tables involved.
- Reducing the number of columns retrieved.
- Simplifying joins or breaking down complex queries into smaller parts.
Database Tuning:
- Review and adjust database parameters that may affect performance.
- Ensure that statistics are up to date, as outdated statistics can lead to suboptimal execution plans.
Monitor and Test:
- After making changes, monitor the performance to ensure that the number of logical reads has decreased.
- Test the changes in a development or quality assurance environment before applying them to production.
Related Information:
By addressing the underlying causes of the high logical reads, you can improve the performance of the affected SQL statement and reduce the impact on the overall system.
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