它可以通过内部查询来完成

$query = "SELECT * 
            FROM (SELECT field
                FROM table
                ORDER BY id DESC) as rows               
            GROUP BY field";

SELECT  c2.field1 ,
        field2
FROM    (SELECT DISTINCT
                field1
         FROM   dbo.TABLE AS C
        ) AS c1
        JOIN dbo.TABLE AS c2 ON c1.field1 = c2.field1

您正在寻找一个由:

select *
from table
group by field1

偶尔也可以用不同的on语句来写:

select distinct on field1 *
from table

然而，在大多数平台上，上述两种方法都不能工作，因为其他列上的行为未指定。(第一种方法适用于MySQL，如果你使用的是MySQL的话。)

您可以获取不同的字段，并坚持每次选择任意一行。

在一些平台上(例如PostgreSQL, Oracle, T-SQL)，这可以直接使用窗口函数完成:

select *
from (
   select *,
          row_number() over (partition by field1 order by field2) as row_number
   from table
   ) as rows
where row_number = 1

在其他(MySQL, SQLite)上，您需要编写子查询，使您将整个表与其本身连接起来(示例)，所以不推荐。

它可以通过内部查询来完成

$query = "SELECT * 
            FROM (SELECT field
                FROM table
                ORDER BY id DESC) as rows               
            GROUP BY field";

这是一个简单的解决方法:

 WITH cte AS /* Declaring a new table named 'cte' to be a clone of your table */
 (SELECT *, ROW_NUMBER() OVER (PARTITION BY id ORDER BY val1 DESC) AS rn
 FROM MyTable /* Selecting only unique values based on the "id" field */
 )
 SELECT * /* Here you can specify several columns to retrieve */
 FROM cte
 WHERE rn = 1

对于SQL Server，您可以使用dense_rank和其他窗口函数来获取指定列上具有重复值的所有行和列。这里有一个例子……

with t as (
    select col1 = 'a', col2 = 'b', col3 = 'c', other = 'r1' union all
    select col1 = 'c', col2 = 'b', col3 = 'a', other = 'r2' union all
    select col1 = 'a', col2 = 'b', col3 = 'c', other = 'r3' union all
    select col1 = 'a', col2 = 'b', col3 = 'c', other = 'r4' union all
    select col1 = 'c', col2 = 'b', col3 = 'a', other = 'r5' union all
    select col1 = 'a', col2 = 'a', col3 = 'a', other = 'r6'
), tdr as (
    select 
        *, 
        total_dr_rows = count(*) over(partition by dr)
    from (
        select 
            *, 
            dr = dense_rank() over(order by col1, col2, col3),
            dr_rn = row_number() over(partition by col1, col2, col3 order by other)
        from 
            t
    ) x
)

select * from tdr where total_dr_rows > 1

这是对col1、col2和col3的每个不同组合进行行计数。