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分解表以透视列(SQL,PYSPARK)

分解表以透视列(SQL,PYSPARK)

表脚本和样本数据

CREATE TABLE [TableName](
    [year] [nvarchar](50) NULL,
    [month] [int] NULL,
    [total] [int] NULL,
    [loop] [nvarchar](50) NULL
)

INSERT [TableName] ([year], [month], [total], [loop]) VALUES (N'2012', 1, 20, N'loop1')
INSERT [TableName] ([year], [month], [total], [loop]) VALUES (N'2012', 2, 30, N'loop1')
INSERT [TableName] ([year], [month], [total], [loop]) VALUES (N'2012', 1, 10, N'loop2')
INSERT [TableName] ([year], [month], [total], [loop]) VALUES (N'2012', 2, 5, N'loop2')
INSERT [TableName] ([year], [month], [total], [loop]) VALUES (N'2012', 1, 50, N'loop3')
INSERT [TableName] ([year], [month], [total], [loop]) VALUES (N'2012', 2, 60, N'loop3')

使用枢轴功能

SELECT * 
FROM   TableName
       PIVOT(Max([total]) 
            FOR [loop] IN ([loop1], [loop2], [loop3]) ) pvt

在线演示:http ://www.sqlfiddle.com/#!18/ 164a4/1/0

如果您正在寻找动态解决方案,请尝试此…(Dynamic Pivot)

DECLARE @cols AS NVARCHAR(max) = Stuff((SELECT DISTINCT ',' + Quotename([loop])
         FROM   TableName
         FOR xml path(''), type).value('.', 'NVARCHAR(MAX)'), 1, 1, '');

DECLARE @query AS NVARCHAR(max) =  'SELECT * 
                                    FROM   TableName
                                           PIVOT(Max([total]) 
                                                FOR [loop] IN ('+ @cols +') ) pvt';

EXECUTE(@query)

在线演示:http ://www.sqlfiddle.com/#!18/ 164a4/3/0

输出

+------+-------+-------+-------+-------+
| year | month | loop1 | loop2 | loop3 |
+------+-------+-------+-------+-------+
| 2012 |     1 |    20 |    10 |    50 |
| 2012 |     2 |    30 |     5 |    60 |
+------+-------+-------+-------+-------+
SQLServer 2022/1/1 18:53:29 有582人围观

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