SQL Server 2008 De-duping
Long story sho开发者_运维知识库rt, I took over a project and a table in the database is in serious need of de-duping. The table looks like this:
supply_req_id | int | [primary key]
supply_req_dt | datetime |
request_id | int | [foreign key]
supply_id | int | [foreign key]
is_disabled | bit |
The duplication is exists with records having the same request_id and supply_id. I'd like to find a best practice way to de-dupe this table.
[EDIT]
@Kirk_Broadhurst, thanks for the question. Since supply_req_id is not referenced anywhere else, I would answer by saying keep the first, delete any subsequent occurances.Happy Holidays
This creates a rank for each row in the (supply_req_dt, request_id) grouping, starting with 1 = lowest supply_req_id. Any dupe has a value > 1
;WITH cDupes AS
(
SELECT
supply_req_id,
ROW_NUMBER() OVER (PARTITION BY supply_req_dt, request_id ORDER BY supply_req_id) AS RowNum
FROM
MyTable
)
DELETE
cDupes
WHERE
RowNum > 1
Then add a unique constraint or INDEX
CREATE UNIQUE INDEX IXU_NoDupes ON MyTable (supply_req_dt, request_id)
Seems like there should be a command for this, but maybe that's because I'm used to a different database server. Here's the relevant support doc:
How to remove duplicate rows from a table in SQL Server http://support.microsoft.com/kb/139444
You need to clarify your rule for determining which record to keep in the case of a 'match' - the most recent, the earliest, the one that has is_disabled
true, or false?
Once you've identified that rule, the rest is fairly simple:
- select the records you want to keep - the
distinct
records - join back to the original table to get the ids for those records.
- delete everthing where not in the joined dataset.
So let's say you want to keep the most recent records of any 'duplicate' pair. Your query would look like this:
DELETE FROM [table] WHERE supply_req_id NOT IN
(SELECT supply_req_id from [table] t
INNER JOIN
(SELECT MAX(supply_req_dt) dt, request_id, supply_id
FROM [table]
GROUP BY request_id, supply_id) d
ON t.supply_req_dt = d.dt
AND t.request_id = d.request_id
AND t.supply_id = d.supply_id)
The catch is that if the supply_req_dt
is also duplicated, then you'll be keeping both of the duplicates. The fix is to do another group by
and select the top id
select MAX(supply_req_id), supply_req_dt, request_id, supply_id
group by supply_req_dt, request_id, supply_id
as an interim step. But if you don't need to do that, don't bother with it.
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