Db file sequential reads
Possible Causes :
· Use of an unselective index
· Fragmented Indexes
· High I/O on a particular disk or mount point
· Bad application design
· Index reads performance can be affected by slow I/O subsystem and/or poor database files layout, which result in a higher average wait time
Actions :
· Check indexes on the table to ensure that the right index is being used
· Check the column order of the index with the WHERE clause of the Top SQL statements
· Rebuild indexes with a high clustering factor
· Use partitioning to reduce the amount of blocks being visited
· Make sure optimizer statistics are up to date
· Relocate ‘hot’ datafiles
· Consider the usage of multiple buffer pools and cache frequently used indexes/tables in the KEEP pool
· Inspect the execution plans of the SQL statements that access data through indexes
· Is it appropriate for the SQL statements to access data through index lookups?
· Would full table scans be more efficient?
· Do the statements use the right driving table?
· The optimization goal is to minimize both the number of logical and physical I/Os.
Remarks:
· The Oracle process wants a block that is currently not in the SGA, and it is waiting for the database block to be read into the SGA from disk.
· Significant db file sequential read wait time is most likely an application issue.
· If the DBA_INDEXES.CLUSTERING_FACTOR of the index approaches the number of blocks in the table, then most of the rows in the table are ordered. This is desirable.
· However, if the clustering factor approaches the number of rows in the table, it means the rows in the table are randomly ordered and thus it requires more I/Os to complete the operation. You can improve the index’s clustering factor by rebuilding the table so that rows are ordered according to the index key and rebuilding the index thereafter.
· The OPTIMIZER_INDEX_COST_ADJ and OPTIMIZER_INDEX_CACHING initialization parameters can influence the optimizer to favour the nested loops operation and choose an index access path over a full table scan.
Possible Causes :
· Use of an unselective index
· Fragmented Indexes
· High I/O on a particular disk or mount point
· Bad application design
· Index reads performance can be affected by slow I/O subsystem and/or poor database files layout, which result in a higher average wait time
Actions :
· Check indexes on the table to ensure that the right index is being used
· Check the column order of the index with the WHERE clause of the Top SQL statements
· Rebuild indexes with a high clustering factor
· Use partitioning to reduce the amount of blocks being visited
· Make sure optimizer statistics are up to date
· Relocate ‘hot’ datafiles
· Consider the usage of multiple buffer pools and cache frequently used indexes/tables in the KEEP pool
· Inspect the execution plans of the SQL statements that access data through indexes
· Is it appropriate for the SQL statements to access data through index lookups?
· Would full table scans be more efficient?
· Do the statements use the right driving table?
· The optimization goal is to minimize both the number of logical and physical I/Os.
Remarks:
· The Oracle process wants a block that is currently not in the SGA, and it is waiting for the database block to be read into the SGA from disk.
· Significant db file sequential read wait time is most likely an application issue.
· If the DBA_INDEXES.CLUSTERING_FACTOR of the index approaches the number of blocks in the table, then most of the rows in the table are ordered. This is desirable.
· However, if the clustering factor approaches the number of rows in the table, it means the rows in the table are randomly ordered and thus it requires more I/Os to complete the operation. You can improve the index’s clustering factor by rebuilding the table so that rows are ordered according to the index key and rebuilding the index thereafter.
· The OPTIMIZER_INDEX_COST_ADJ and OPTIMIZER_INDEX_CACHING initialization parameters can influence the optimizer to favour the nested loops operation and choose an index access path over a full table scan.
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