[英]I need help constructing a SQL query to return counts of a column for Jan-Dec based on my Date Column
我不是SQL的专家,我甚至不确定这种类型的查询是否可行。
我想根据“MediaDate”为每个月的每个“MediaTypeID”返回一个计数(*)。
任何帮助将不胜感激!
谢谢。
我的表看起来像:
表数据看起来像:
1 | 1 | Funny Cat Video | 2006-01-25 00:00:00.000
2 | 1 | Funny Dog Video | 2006-01-20 00:00:00.000
3 | 2 | Angry Birds Game | 2006-03-13 00:00:00.000
4 | 4 | Blonde Joke | 2006-03-16 00:00:00.000
5 | 3 | Goofy Clown Picture | 2006-02-27 00:00:00.000
6 | 2 | Racing Game | 2006-02-10 00:00:00.000
7 | 1 | Star Wars Video | 2006-07-15 00:00:00.000
该查询将返回Jan-Dec的12行结果,如下所示:
Month | MediaTypeID1Count | MediaTypeID2Count | MediaTypeID3Count | MediaTypeID4Count
Jan | 400 | 255 | 15 | 65
Feb | 100 | 25 | 75 | 35
Mar | 320 | 155 | 50 | 99
Apr | 56 | 0 | 98 | 313
这种类型的数据转换称为PIVOT
。 SQL Server 2005+具有可以实现的pivot功能:
select month,
[1] MediaType1_count,
[2] MediaType2_count,
[3] MediaType3_count,
[4] MediaType4_count
from
(
select
mediatypeid,
datename(m, mediadate) Month,
datepart(m, mediadate) monnum
from yourtable
) src
pivot
(
count(mediatypeid)
for mediatypeid in ([1], [2], [3], [4])
) piv
order by monnum
如果要将未知数量的值转置为列,则可以使用动态sql:
DECLARE @cols AS NVARCHAR(MAX),
@colNames AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
select @cols = STUFF((SELECT distinct ',' + QUOTENAME(mediatypeid)
from yourtable
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
select @colNames = STUFF((SELECT distinct ', ' + QUOTENAME(mediatypeid) +' as MediaType' + cast(mediatypeid as varchar(50))+'_Count'
from yourtable
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query = 'SELECT month,' + @colNames + ' from
(
select mediatypeid,
datename(m, mediadate) Month,
datepart(m, mediadate) monnum
from yourtable
) x
pivot
(
count(mediatypeid)
for mediatypeid in (' + @cols + ')
) p
order by monnum'
execute(@query)
结果如下:
| MONTH | MEDIATYPE1_COUNT | MEDIATYPE2_COUNT | MEDIATYPE3_COUNT | MEDIATYPE4_COUNT |
----------------------------------------------------------------------------------------
| January | 2 | 0 | 0 | 0 |
| February | 0 | 1 | 1 | 0 |
| March | 0 | 1 | 0 | 1 |
| July | 1 | 0 | 0 | 0 |
我想这可能就是你要找的东西。 以下内容将根据媒体类型ID返回计数,然后按年份分组,然后按月分组
Select MediaTypeID, datepart(year, MediaDate), datepart(month, MediaDate), count(*)
From Media
Group by MediaTypeID, datepart(year, MediaDate), datepart(month, MediaDate)
在我看来,这对您开始使用此代码可能是一个很好的挑战:
Declare @T Table (
MediaID BigInt Primary Key Identity(1, 1)
, MediaTypeID BigInt
, MediaTitle Nvarchar(50)
, MediaDate DateTime
);
Insert @T (
MediaTypeID
, MediaTitle
, MediaDate
) Select 1
, 'Funny Cat Video'
, '2006-01-25 00:00:00.000'
Union
Select 1
, 'Funny Dog Video'
, '2006-01-20 00:00:00.000'
Union
Select 2
, 'Angry Birds Game'
, '2006-03-13 00:00:00.000'
Union
Select 4
, 'Blonde Joke'
, '2006-03-16 00:00:00.000'
Union
Select 3
, 'Goofy Clown Picture'
, '2006-02-27 00:00:00.000'
Union
Select 2
, 'Racing Game'
, '2006-02-10 00:00:00.000'
Union
Select 1
, 'Star Wars Video'
, '2006-07-15 00:00:00.000'
;
Select Month.Title
, Count(Type01_Result.MediaID) As MediaTypeID_1
, Count(Type02_Result.MediaID) As MediaTypeID_2
, Count(Type03_Result.MediaID) As MediaTypeID_3
, Count(Type04_Result.MediaID) As MediaTypeID_4
From (
Select 1 As Id
, 'Jan' As Title
Union
Select 2
, 'Feb'
Union
Select 3
, 'March'
Union
Select 4
, 'April'
Union
Select 5
, 'May'
Union
Select 6
, 'June'
Union
Select 7
, 'July'
Union
Select 8
, 'Aug'
Union
Select 9
, 'Sept'
Union
Select 10
, 'Nov'
Union
Select 11
, 'Oct'
Union
Select 12
, 'Dec'
) As Month
Left Outer Join
@T As Type01_Result
On Type01_Result.MediaTypeID = 1
And DatePart(Month, Type01_Result.MediaDate) = Month.Id
Left Outer Join
@T As Type02_Result
On Type02_Result.MediaTypeID = 2
And DatePart(Month, Type02_Result.MediaDate) = Month.Id
Left Outer Join
@T As Type03_Result
On Type03_Result.MediaTypeID = 3
And DatePart(Month, Type03_Result.MediaDate) = Month.Id
Left Outer Join
@T As Type04_Result
On Type04_Result.MediaTypeID = 4
And DatePart(Month, Type04_Result.MediaDate) = Month.Id
Group By Month.Title
;
唯一的问题是你应该仔细考虑年份值以及你想在输出中包含多少年,因为无论记录日期是哪一年,这个结果都会给你每个月所有记录的总和。 这可能会导致结果混乱。
(请记住,我总是在Management Studio的选项中将选项卡大小设置为8个字符,因此我建议您这样做以查看正确的编写T-SQL的样式)
希望它能帮到你。
干杯
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