Please start any new threads on our new
site at https://forums.sqlteam.com. We've got lots of great SQL Server
experts to answer whatever question you can come up with.
| Author |
Topic |
|
ramyasre
Starting Member
16 Posts |
Posted - 2011-04-18 : 02:09:32
|
| i am using the following queriesALTER proc [dbo].[VOC_RecNPSLocationWiseAVGScore1-Graph](@IN_Month_Value int,@IN_Year_Value int,@Location_Id int) AS BEGIN Declare @Month_Minus_One int,@Month_Minus_Two int,@Year_Minus_One int,@Year_Minus_Two int,@sentdate datetime;set @sentdate=convert(datetime,convert(varchar(50),@IN_Month_Value) +'/'+'01'+'/'+ convert(varchar(50),@IN_Year_Value));set @Month_Minus_One= month(DATEADD(month, -1, @sentdate))set @Month_Minus_Two= month(DATEADD(month, -2, @sentdate))if((@IN_Month_Value=1) or (@IN_Month_Value=2))begin if(@IN_Month_Value=2) begin set @Year_Minus_One= @IN_Year_Value set @Year_Minus_Two= year(DATEADD(year, -1, @sentdate)) end else if(@IN_Month_Value=1) begin set @Year_Minus_One= year(DATEADD(year, -1, @sentdate)) set @Year_Minus_Two= year(DATEADD(year, -1, @sentdate)) endendelse begin set @Year_Minus_One= @IN_Year_Value set @Year_Minus_Two= @IN_Year_Value end select convert(varchar(20),Month_Value)+'/'+ convert(varchar(20),Year_Value) as datewise,avg(Answer) as a1 from Voc_Trans_Details where Location_Id=@Location_Id and Question_ID in (2,3,4,5,6,7) and Month_Value=@IN_Month_Value and Year_Value=@IN_Year_Value group by Month_Value,Year_Value union select convert(varchar(20),Month_Value)+'/'+ convert(varchar(20),Year_Value) as datewise,avg(Answer) as a2 from Voc_Trans_Details where Location_Id=@Location_Id and Question_ID in (2,3,4,5,6,7) and Month_Value=@Month_Minus_One and Year_Value=@Year_Minus_One group by Month_Value,Year_Value union select convert(varchar(20),Month_Value)+'/'+ convert(varchar(20),Year_Value) as datewise,avg(Answer) as a3 from Voc_Trans_Details where Location_Id=@Location_Id and Question_ID in (2,3,4,5,6,7) and Month_Value=@Month_Minus_Two and Year_Value=@Year_Minus_Two group by Month_Value,Year_Value---[VOC_RecNPSLocationWiseAVGScore1-Graph] 9,2010,10201 The output is as followsDatewise nocolumn-----------------7/2010 498/2010 529/2010 59now i want ouput as nocolumn 49 52 59 |
|
|
khtan
In (Som, Ni, Yak)
17689 Posts |
Posted - 2011-04-18 : 04:32:35
|
[code]select avg(case when Month_Value = @IN_Month_Value and Year_Value = @IN_Year_Value then Answer end) as a1, avg(case when Month_Value = @Month_Minus_One and Year_Value = @Year_Minus_One then Answer end) as a3, avg(case when Month_Value = @Month_Minus_Two and Year_Value = @Year_Minus_Two then Answer end) as a3from Voc_Trans_Details where Location_Id=@Location_Id and Question_ID in (2,3,4,5,6,7)and ( (Month_Value = @IN_Month_Value and Year_Value = @IN_Year_Value) or (Month_Value = @Month_Minus_One and Year_Value = @Year_Minus_One) or (Month_Value = @Month_Minus_Two and Year_Value = @Year_Minus_Two) )group by Month_Value,Year_Value[/code] KH[spoiler]Time is always against us[/spoiler] |
 |
|
|
ramyasre
Starting Member
16 Posts |
Posted - 2011-04-18 : 05:43:35
|
By using the following query it shows null values and the value is showed in 3 rows. Actually i want to use pivot for these statementsquote: Originally posted by khtan
select avg(case when Month_Value = @IN_Month_Value and Year_Value = @IN_Year_Value then Answer end) as a1, avg(case when Month_Value = @Month_Minus_One and Year_Value = @Year_Minus_One then Answer end) as a3, avg(case when Month_Value = @Month_Minus_Two and Year_Value = @Year_Minus_Two then Answer end) as a3from Voc_Trans_Details where Location_Id=@Location_Id and Question_ID in (2,3,4,5,6,7)and ( (Month_Value = @IN_Month_Value and Year_Value = @IN_Year_Value) or (Month_Value = @Month_Minus_One and Year_Value = @Year_Minus_One) or (Month_Value = @Month_Minus_Two and Year_Value = @Year_Minus_Two) )group by Month_Value,Year_Value KH[spoiler]Time is always against us[/spoiler]
|
 |
|
|
khtan
In (Som, Ni, Yak)
17689 Posts |
Posted - 2011-04-18 : 05:53:23
|
oops forgot to remove the group by statement. Edited my last post KH[spoiler]Time is always against us[/spoiler] |
 |
|
|
|
|
|
|
|