i have two queries
select *
from T
where DATE_OF between to_date ('01.02.2012 00:00:00', 'DD.MM.YYYY hh24:mi:ss')
and to_date ('01.02.2012 23:59:59','DD.MM.YYYY hh24:mi:ss')
explain plan
SELECT STATEMENT ALL_ROWSCost: 146,313 Bytes: 55,799,142 Cardinality: 150,402
2 MAT_VIEW ACCESS BY INDEX ROWID MAT_VIEW T Cost: 146,313 Bytes: 55,799,142 Cardinality: 150,402
1 INDEX RANGE SCAN INDEX IND$T_05 Cost: 464 Cardinality: 150,402
Second query
select *
from T
where DATE_OF >= to_date('201202','yyyyMM')
and DATE_OF < to_date('201203','yyyyMM')
explain plan
SELECT STATEMENT ALL_ROWSCost: 4,242,836 Bytes: 1,618,120,952 Cardinality: 4,361,512
2 MAT_VIEW ACCESS BY INDEX ROWID MAT_VIEW T Cost: 4,242,836 Bytes: 1,618,120,952 Cardinality: 4,361,512
1 INDEX RANGE SCAN INDEX IND$T_05 Cost: 13,368 Cardinality: 4,361,512
index ddl
CREATE INDEX IND$T_05 ON T(DATE_OF, TP)
DATE_OF is date typed column. MVIEW is not partitioned.
Why such a big difference in the cost of queries?
This is because first query scans for one day(1 Feb 2012
) and the second scans for one month(Feb 2012
).
You want one day or one month?