这里最重要的是要有最快的功能。还应确定副本索引。自连接是一个很好的选项，但为了获得更快的功能，最好先查找具有重复行的行，然后与原始表连接以查找重复行的id。最后按除id之外的任何列排序，以使重复的行彼此靠近。

SELECT u.*
FROM users AS u
JOIN (SELECT username, email
      FROM users
      GROUP BY username, email
      HAVING COUNT(*)>1) AS w
ON u.username=w.username AND u.email=w.email
ORDER BY u.email;

试试看：

                DECLARE @myTable TABLE
                (
                    id INT,
                    name VARCHAR(10),
                    email VARCHAR(50)
                );

                INSERT @myTable
                VALUES
                (1, 'John', 'John-email');
                INSERT @myTable
                VALUES
                (2, 'John', 'John-email');
                INSERT @myTable
                VALUES
                (3, 'fred', 'John-email');
                INSERT @myTable
                VALUES
                (4, 'fred', 'fred-email');
                INSERT @myTable
                VALUES
                (5, 'sam', 'sam-email');
                INSERT @myTable
                VALUES
                (6, 'sam', 'sam-email');


                WITH cte
                AS (SELECT ROW_NUMBER() OVER (ORDER BY (SELECT 1)) AS rowNum,
                           *
                    FROM @myTable)
                SELECT c1.id,
                       c1.name,
                       c1.email
                FROM cte AS c1
                WHERE 1 <
                (
                    SELECT COUNT(c2.rowNum)
                    FROM cte AS c2
                    WHERE c1.name = c2.name
                          AND c1.email = c2.email
                );

删除名称重复的记录

;WITH CTE AS    
(

    SELECT ROW_NUMBER() OVER (PARTITION BY name ORDER BY name) AS T FROM     @YourTable    
)

DELETE FROM CTE WHERE T > 1

这个问题在上面的所有答案中都得到了很好的回答。但我想列出所有可能的方式，我们可以通过各种方式来做到这一点，这可能会让我们了解如何做到，寻求者可以选择最适合他/她的需求的解决方案，因为这是SQL开发人员遇到不同业务用例或在访谈中遇到的最常见的查询之一。

创建示例数据

我将仅从这个问题中设置一些示例数据开始。

Create table NewTable (id int, name varchar(10), email varchar(50))
INSERT  NewTable VALUES (1,'John','asd@asd.com')
INSERT  NewTable VALUES (2,'Sam','asd@asd.com')
INSERT  NewTable VALUES (3,'Tom','asd@asd.com')
INSERT  NewTable VALUES (4,'Bob','bob@asd.com')
INSERT  NewTable VALUES (5,'Tom','asd@asd.com')

1.使用groupby子句

SELECT
    name,email, COUNT(*) AS Occurence
    FROM NewTable
    GROUP BY name,email
    HAVING COUNT(*)>1

工作原理：

GROUP BY子句按中的值将行分组姓名和电子邮件栏。然后，COUNT（）函数返回数字每个组的出现次数（姓名、电子邮件）。然后，HAVING子句保持仅重复组，这些组包含多个发生

2.使用CTE：

要返回每个重复行的整个行，请使用公共表表达式（CTE）将上述查询的结果与NewTable表连接：

WITH cte AS (
    SELECT
        name, 
        email, 
        COUNT(*) occurrences
    FROM NewTable
    GROUP BY 
        name, 
        email
    HAVING COUNT(*) > 1
)
SELECT 
    t1.Id,
    t1.name, 
    t1.email
FROM  NewTable t1
    INNER JOIN cte ON 
        cte.name = t1.name AND 
        cte.email = t1.email
ORDER BY 
    t1.name, 
    t1.email;

3.使用ROW_NUMBER（）函数

WITH cte AS (
    SELECT 
        name, 
        email, 
        ROW_NUMBER() OVER (
            PARTITION BY name,email
            ORDER BY name,email) rownum
    FROM 
        NewTable t1
) 
SELECT 
  * 
FROM 
    cte 
WHERE 
    rownum > 1;

工作原理：

ROW_NUMBER（）将NewTable表的行按名称和电子邮件列中的值分配到分区中。重复的行在名称和电子邮件列中具有重复的值，但行号不同外部查询删除每个组中的第一行。

好吧，现在我相信，你可以有正确的想法，如何找到重复，并应用逻辑在所有可能的场景中找到重复。谢谢

与其他答案不同，您可以查看包含所有列（如果有的话）的整个记录。在row_number函数的PARTITION BY部分中，选择所需的唯一/双工列。

SELECT  *
FROM    (
 SELECT a.*
 ,      Row_Number() OVER (PARTITION BY Name, Age ORDER BY Name) AS r
 FROM   Customers AS a
)       AS b
WHERE   r > 1;

当您想选择所有字段中的所有重复记录时，可以这样写

CREATE TABLE test (
        id      bigint GENERATED ALWAYS AS IDENTITY PRIMARY KEY
,       c1      integer
,       c2      text
,       d       date DEFAULT now()
,       v       text
);

INSERT INTO test (c1, c2, v) VALUES
(1, 'a', 'Select'),
(1, 'a', 'ALL'),
(1, 'a', 'multiple'),
(1, 'a', 'records'),
(2, 'b', 'in columns'),
(2, 'b', 'c1 and c2'),
(3, 'c', '.');
SELECT * FROM test ORDER BY 1;

SELECT  *
FROM    test
WHERE   (c1, c2) IN (
 SELECT c1, c2
 FROM   test
 GROUP  BY 1,2
 HAVING count(*) > 1
)
ORDER   BY 1;

在PostgreSQL中测试。

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