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Message type: E = Error
Message class: S_DBCOCKPIT_ORA - Messages for Package S_DBCOCKPIT_ORA
Message number: 005
Message text: No entries in "Shared Cursor Cache" found for Table &1
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S_DBCOCKPIT_ORA005
- No entries in "Shared Cursor Cache" found for Table &1 ?The SAP error message
S_DBCOCKPIT_ORA005
indicates that there are no entries in the "Shared Cursor Cache" for a specific table in an Oracle database. This error typically arises when the database is unable to find any cached execution plans for the SQL statements related to the specified table. Here’s a breakdown of the cause, potential solutions, and related information:Cause
- No Cached Plans: The SQL statements for the specified table have not been executed recently, or the execution plans have been flushed from the cache.
- Low Cache Size: The shared cursor cache may be too small to hold all the execution plans, leading to frequent evictions.
- Database Configuration: The database may not be configured optimally for caching execution plans.
- SQL Execution Patterns: If the SQL statements are not frequently executed or are highly variable, they may not be retained in the cache.
Solutions
- Execute SQL Statements: Run SQL queries against the specified table to generate execution plans that can be cached.
- Increase Shared Pool Size: If the shared pool size is too small, consider increasing it. This can be done by modifying the
shared_pool_size
parameter in the Oracle database configuration.- Check for Invalid Objects: Ensure that there are no invalid objects in the database that might affect execution plans.
- Use Bind Variables: If applicable, use bind variables in your SQL statements to improve the likelihood of caching execution plans.
- Monitor and Tune SQL: Use Oracle's tuning tools to monitor SQL execution and identify queries that may benefit from optimization.
- Database Statistics: Ensure that database statistics are up to date, as stale statistics can lead to suboptimal execution plans.
Related Information
The S_DBCOCKPIT_ORA005
error indicates a lack of cached execution plans for a specific table, which can be addressed through various optimization techniques and configuration adjustments. Regular monitoring and tuning of SQL statements and database parameters can help prevent this issue from occurring in the future.
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