-- generate count of elements for each distinct id
with Counts as (
select
id,
count(1) as ReferenceCount
from
tblReferences R
group by
R.id
)
-- generate every pairing of two different id's, along with
-- their counts, and how many are equivalent between the two
,Pairings as (
select
R1.id as id1
,R2.id as id2
,C1.ReferenceCount as count1
,C2.ReferenceCount as count2
,sum(case when R1.referenceid = R2.referenceid then 1 else 0 end) as samecount
from
tblReferences R1 join Counts C1 on R1.id = C1.id
cross join
tblReferences R2 join Counts C2 on R2.id = C2.id
where
R1.id < R2.id
group by
R1.id, C1.ReferenceCount, R2.id, C2.ReferenceCount
)
-- generate the list of ids that are safe to remove by picking
-- out any id's that have the same number of matches, and same
-- size of list, which means their reference lists are identical.
-- since id2 > id, we can safely remove id2 as a copy of id, and
-- the smallest id of which all id2 > id are copies will be left
,RemovableIds as (
select
distinct id2 as id
from
Pairings P
where
P.count1 = P.count2 and P.count1 = P.samecount
)
-- validate the results by just selecting to see which id's
-- will be removed. can also include id in the query above
-- to see which id was identified as the copy
select id from RemovableIds R
-- comment out `select` above and uncomment `delete` below to
-- remove the records after verifying they are correct!
--delete from tblReferences where id in (select id from RemovableIds) R
什麼數據庫產品和版本? – Thomas 2011-05-03 02:23:54
數據庫:SQLite版本:3.7.5 – jajo87 2011-05-03 02:31:04