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SQL Server 排序函数 ROW_NUMBER和RANK 用法总结

发布时间:2020-05-23 22:29:01 所属栏目:MsSql 来源:互联网
导读:SQL Server 排序函数 ROW_NUMBER和RANK 用法总结

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1.ROW_NUMBER()基本用法:

SELECT
  SalesOrderID,
  CustomerID,
  ROW_NUMBER() OVER (ORDER BY SalesOrderID) AS RowNumber
 FROM Sales.SalesOrderHeader
结果集:
SalesOrderID    CustomerID    RowNumber
--------------- ------------- ---------------
43659           676           1
43660           117           2
43661           442           3
43662           227           4
43663           510           5
43664           397           6
43665           146           7
43666           511           8
43667           646           9
 :

2.RANK()基本用法:

SELECT
  SalesOrderID,
  RANK() OVER (ORDER BY CustomerID) AS Rank
 FROM Sales.SalesOrderHeader
结果集:
SalesOrderID    CustomerID    Rank
--------------- ------------- ----------------
43860           1             1
44501           1             1
45283           1             1
46042           1             1
46976           2             5
47997           2             5
49054           2             5
50216           2             5
51728           2             5
57044           2             5
63198           2             5
69488           2             5
44124           3             13
 :

3.利用CTE来过滤ROW_NUMBER()的用法:

WITH NumberedRows AS
(
  SELECT
    SalesOrderID,
    CustomerID,
    ROW_NUMBER() OVER (ORDER BY SalesOrderID) AS RowNumber
   FROM Sales.SalesOrderHeader
)

SELECT * FROM NumberedRows
 WHERE RowNumber BETWEEN 100 AND 200
结果集:

SalesOrderID    CustomerID    RowNumber
--------------- ------------- --------------
43759           13257         100
43760           16352         101
43761           16493         102
 :
43857           533           199
43858           36            200

4.带Group by的ROW_NUMBER()用法:

WITH CustomerSum
AS
(
  SELECT CustomerID,SUM(TotalDue) AS TotalAmt
   FROM Sales.SalesOrderHeader
   GROUP BY CustomerID
)
SELECT
  *,
  ROW_NUMBER() OVER (ORDER BY TotalAmt DESC) AS RowNumber
 FROM CustomerSum
结果集:
CustomerID    TotalAmt        RowNumber
------------- --------------- ---------------
678           1179857.4657    1
697           1179475.8399    2
170           1134747.4413    3
328           1084439.0265    4
514           1074154.3035    5
155           1045197.0498    6
72            1005539.7181    7
 :

5.ROW_NUMBER()或是RANK()聚合用法:

WITH CustomerSum AS
(
  SELECT CustomerID,SUM(TotalDue) AS TotalAmt
   FROM Sales.SalesOrderHeader
   GROUP BY CustomerID
)
SELECT  *,
  RANK() OVER (ORDER BY TotalAmt DESC) AS Rank
--或者是ROW_NUMBER() OVER (ORDER BY TotalAmt DESC) AS Row_Number
 FROM CustomerSum
RANK()的结果集:
CustomerID  TotalAmt              Rank
----------- --------------------- --------------------
678         1179857.4657          1
697         1179475.8399          2
170         1134747.4413          3
328         1084439.0265          4
514         1074154.3035          5
 :

6.DENSE_RANK()基本用法:

SELECT
  SalesOrderID,
  DENSE_RANK() OVER (ORDER BY CustomerID) AS DenseRank
 FROM Sales.SalesOrderHeader
 WHERE CustomerID > 100
结果集:
SalesOrderID CustomerID  DenseRank
------------ ----------- --------------------
46950        101         1
47979        101         1
49048        101         1
50200        101         1
51700        101         1
57022        101         1
63138        101         1
69400        101         1
43855        102         2
44498        102         2
45280        102         2
46038        102         2
46951        102         2
47978        102         2
49103        102         2
50199        102         2
51733        103         3
57058        103         3
 :

7.RANK()与DENSE_RANK()的比较:

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