我需要从一个相当大的SQL Server表(即300,000+行)中删除重复的行。

当然,由于RowID标识字段的存在,这些行不会完全重复。

MyTable

RowID int not null identity(1,1) primary key,
Col1 varchar(20) not null,
Col2 varchar(2048) not null,
Col3 tinyint not null

我该怎么做呢?


当前回答

DELETE
FROM
    table_name T1
WHERE
    rowid > (
        SELECT
            min(rowid)
        FROM
            table_name T2
        WHERE
            T1.column_name = T2.column_name
    );

其他回答

delete t1
from table t1, table t2
where t1.columnA = t2.columnA
and t1.rowid>t2.rowid

邮政:

delete
from table t1
using table t2
where t1.columnA = t2.columnA
and t1.rowid > t2.rowid

获取重复的行:

SELECT
name, email, COUNT(*)
FROM 
users
GROUP BY
name, email
HAVING COUNT(*) > 1

删除重复的行。

DELETE users 
WHERE rowid NOT IN 
(SELECT MIN(rowid)
FROM users
GROUP BY name, email);      
DELETE
FROM
    table_name T1
WHERE
    rowid > (
        SELECT
            min(rowid)
        FROM
            table_name T2
        WHERE
            T1.column_name = T2.column_name
    );

有时使用软删除机制,其中记录日期以指示删除的日期。在这种情况下,可以使用UPDATE语句根据重复的条目更新该字段。

UPDATE MY_TABLE
   SET DELETED = getDate()
 WHERE TABLE_ID IN (
    SELECT x.TABLE_ID
      FROM MY_TABLE x
      JOIN (SELECT min(TABLE_ID) id, COL_1, COL_2, COL_3
              FROM MY_TABLE d
             GROUP BY d.COL_1, d.COL_2, d.COL_3
            HAVING count(*) > 1) AS d ON d.COL_1 = x.COL_1
                                     AND d.COL_2 = x.COL_2
                                     AND d.COL_3 = x.COL_3
                                     AND d.TABLE_ID <> x.TABLE_ID
             /*WHERE x.COL_4 <> 'D' -- Additional filter*/)

对于包含大约3000万行、重复量有高有低的中等数据表,这种方法非常适用。

通过使用下面的查询,我们可以基于单列或多列删除重复的记录。下面的查询是基于两列进行删除。表名为:testing,列名为empno,empname

DELETE FROM testing WHERE empno not IN (SELECT empno FROM (SELECT empno, ROW_NUMBER() OVER (PARTITION BY empno ORDER BY empno) 
AS [ItemNumber] FROM testing) a WHERE ItemNumber > 1)
or empname not in
(select empname from (select empname,row_number() over(PARTITION BY empno ORDER BY empno) 
AS [ItemNumber] FROM testing) a WHERE ItemNumber > 1)