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Message type: E = Error
Message class: DB11 - Oracle Monitor: messages
Message number: 171
Message text: &1 &3 > &2 &3: Percent of db file read of total db time above threshold
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DB11171
- &1 &3 > &2 &3: Percent of db file read of total db time above threshold ?The SAP error message DB11171 indicates that the percentage of database file reads relative to the total database time has exceeded a predefined threshold. This can be a sign of performance issues within the database, often related to inefficient queries, high I/O operations, or suboptimal database configuration.
Cause:
- High I/O Operations: The database is performing a large number of read operations, which can indicate that the queries are not optimized or that the data is not being cached effectively.
- Inefficient Queries: Poorly written SQL queries can lead to excessive database reads, causing the percentage of file reads to increase.
- Database Configuration: Suboptimal database settings, such as buffer sizes or cache configurations, can lead to increased disk I/O.
- Data Volume: A large volume of data being processed can also contribute to high read percentages.
- Lock Contention: If there are locks on the database, it may lead to increased read times as processes wait for access.
Solution:
- Optimize Queries: Review and optimize SQL queries to ensure they are efficient. Use EXPLAIN plans to analyze query performance and identify bottlenecks.
- Database Tuning: Adjust database parameters such as buffer pool size, cache settings, and I/O settings to improve performance.
- Indexing: Ensure that appropriate indexes are in place to speed up data retrieval and reduce the need for full table scans.
- Monitor Performance: Use database monitoring tools to track performance metrics and identify trends or spikes in database activity.
- Increase Cache Size: If applicable, increase the size of the database cache to reduce the need for disk reads.
- Review Application Logic: Check the application logic to ensure that it is not making unnecessary database calls or retrieving more data than needed.
Related Information:
By addressing the underlying causes and implementing the suggested solutions, you can reduce the percentage of database file reads and improve overall database performance.
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