概念:
blevel:二元高度=索引高度-1
clustering_factor:集群因子,通过索引扫面得出的要查询table的blocks数量,clustering_factor接近table的blocks说明table是依照索引顺序存储的,clustering_factor接近table行数说明table相比于依照索引顺序。用一种更为乱序的存储的。
索引扫描的计算公式:
cost =
blevel +
ceil(leaf_blocks *effective index selectivity) +
ceil(clustering_factor * effective table selectivity)
一下測试是在rule based optimizer used条件下
SQL> select leaf_blocks,blevel,clustering_factor from dba_indexes where index_name='IDX_T'; LEAF_BLOCKS BLEVEL CLUSTERING_FACTOR
----------- ---------- -----------------
112 1 776
SELECT b.num_rows, a.num_distinct, a.num_nulls, utl_raw.cast_to_number(high_value) AS high_value, utl_raw.cast_to_number(low_value) AS low_value
, b.num_rows - a.num_nulls AS "NUM_ROWS-NUM_NULLS", utl_raw.cast_to_number(high_value) - utl_raw.cast_to_number(low_value) AS "HIGH_VALUE-LOW_VALUE"
FROM dba_tab_col_statistics a, dba_tables b
WHERE a.owner = b.owner
AND a.table_name = b.table_name
AND a.owner = 'SCOTT'
AND a.table_name = upper('TEST')
AND a.column_name = 'OBJECT_ID'
NUM_ROWS
NUM_DISTINCT NUM_NULLSHIGH_VALUELOW_VALUENUM_ROWS-NUM_NULLSHIGH_VALUE-LOW_VALUE
50736 5073515382025073553818
effective index selectivity=(limit-low_value)/(high_value-low_value)
SQL> select (1000-2)/(53820-2) selectivity from dual; SELECTIVITY
-----------
0.018543982
SQL> SELECT OWNER FROM TEST WHERE OBJECT_ID<1000; 已选择953行。 运行计划
----------------------------------------------------------
Plan hash value: 1810195980 ---------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost |
---------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 941 | 10351 | 19 |
| 1 | TABLE ACCESS BY INDEX ROWID| TEST | 941 | 10351 | 19 |
|* 2 | INDEX RANGE SCAN | IDX_T | 941 | | 4 |
--------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 2 - access("OBJECT_ID"<1000)
1.回表io=ceil(clustering_factor * effective table selectivity)=19-4=15
2.blevel +ceil(leaf_blocks *effective index selectivity)