hi all,
The situation is something like this
id name
------------------
1 lad
1 big
2 sen
2 zen
The output would be
id name
------------------
1 lad,big
2 sen,zen
Is there a way to implement this is Reporting services.This has to be achieved on the fly which the report is being executed !
Any help on this is highly appreciated .
I'd like to first figure out the count of how many rows are not the Current Edition have the following:
Second I'd like to be able to select the primary key of all the rows involved
Third I'd like to select all the primary keys of just the rows not in the current edition
Not really sure how to describe this without making a dataset
CREATE TABLE [Project].[TestTable1](
[TestTable1_pk] [int] IDENTITY(1,1) NOT NULL,
[Source_ID] [int] NOT NULL,
[Edition_fk] [int] NOT NULL,
[Key1_fk] [int] NOT NULL,
[Key2_fk] [int] NOT NULL,
[Code] .....
Group by fails me because I only want the groups where the Edition_fk don't match...
How can we find out the position of the last space(' ')in a sentence?
Example sentence:
My name is John.
Result: 11 (since the last space starts at 11th character in the sentence)
Any clue??
thanks.
John.
How can we find out the position of the last space(' ')in a sentence?
Example sentence:
My name is John.
Result: 11 (since the last space starts at 11th character in the sentence)
Any clue??
thanks.
John.
How do I get the file name appended by today's date in the following format dynamically?
example:
filename= orderfile.xls
new file name should be: orderfile_020722.xls
Thanks for any help.
Sonia.
We need to concatinate the following two fields and make a third field upto max. of 100 char. While concatinating these two fields, the second field should not be cut in the middle of a word after concatination and should end in "..." as shown in the example below:
Product_name_field1: This is varchar(32)
Example: Classic-Fit Pleated-Front Khakis: This is varchar(1000)
Product_name_field2: (length varies from 120-1000 char)
Example: We make our khakis of 100% cotton twill and then garment-wash them and ship them for ...
Result: incorrect way:
Classic-Fit Pleated-Front Khakis,We make our khakis of 100% cotton twill and then garment-wash th...
Result: Correct way:
Classic-Fit Pleated-Front Khakis,We make our khakis of 100% cotton twill and then garment-wash...
I appreciate for any help.Thanks.
John.
I have a query in SSIS which works fine.
SELECT SUBSTR(DOB_CHAR, 7, 2) AS EXP3, SUBSTR(DOB_CHAR, 5, 2) AS EXPR1, SUBSTR(DOB_CHAR, 1, 4) AS EXPR2
FROM WAITLIST
results
20
12
1948
07
09
1982
29
07
1960
However, when I try to concatinate, it falls over
SELECT SUBSTR(DOB_CHAR, 7, 2) + '/' + SUBSTR(DOB_CHAR, 5, 2) + '/' + SUBSTR(DOB_CHAR, 1, 4) AS EXPR2
FROM WAITLIST
The syntax works ok on SQL Server query, but not in SSIS.
(Reading from Oracle, number 19481220, an is varchar2)
Select will work with pipes (as in oracle) but it must be of the form | | '/' | |
that is
SUBSTR(DOB_CHAR, 7, 2) | | '/' | | SUBSTR(DOB_CHAR, 5, 2) | | '/' | | SUBSTR(DOB_CHAR, 1, 4) AS EXP2
I would like to know if this is correct, or is it because I am reading from Oracle?
I do get an error message in query builder, but the query then runs as required.
Error in list of function arguments: '|' not recognized.
Error in list of function arguments: ',' not recognized.
Error in list of function arguments: ')' not recognized.
Unable to parse query text.
Any views?
I have a need to query some data and string all my results by id. I am fairly close to the results but stuck on the final piece. Any help would be greatly appreciated.
Here's the scenario: My data looks as follows:
UserID
Results
1095
,,,,,,,
1095
,,,,,8,,
1095
,,,,,,,
1095
,,,,,8,,
1247
,2,3,,,6,,,
1247
,2,3,,,6,,,
1247
,2,3,,,6,,,
1247
,2,3,,,6,,,
4069
,,,,,,,
4069
,,,,,,,
4069
,,,,,,,
4069
,,,,,,,
4070
,,6,,,,,
4070
,,6,,,,,
4070
,,6,,,,,
4070
,,6,,,,,
I want to query it and end up with the results all strung together under each UserID as follows:
1095
,,,,,,,,,,,,8,,,,,,,,,,,,,,8,,
1247
,2,3,,,6,,,,2,3,,,6,,,,2,3,,,6,,,,2,3,,,6,,,
4069
,,,,,,,,,,,,,,,,,,,,,,,,,,,,
4070
,,6,,,,,,,6,,,,,,,6,,,,,,,6,,,,,
I know if I use the following code I can string all the results together
select *, Cast((SELECT Results + ',' FROM #temp1 FOR XML PATH('')) as varchar(max) ) as Results from #temp1
But I can't figure out how to break it down by individual UserID. Any help is greatly appreciated. Thanks in advance
I need to execute the following code by passing the username as a parameter.Can I get help to complete the SQL statement??
exec ('sp_changeobjectowner '+ @Table_name +','+@ToUser) ---> This works fine.
But I need to have something like this:
exec ('sp_changeobjectowner '@username.+ @Table_name +','+@ToUser)
Note:
Here is the sample working syntax:
sp_changeobjectowner 'user1.eb_sku', user2
So,I need user1 and user2 as two different parameters.
As you see,I need to qualify the table name with the owner name which itself I want to pass as a parameter.
Any help with syntax is greatly appreciated!!
Di.
hi,
i have a doubt , how many columns we can use in GROUP BY clause(or size)
in BOL i saw the following hint.
Columns in GROUP BY, ORDER BY
sql6.5: 16
sql 7.0: Limited only by number of bytes
Can anyone tell me How many bytes or how many columns?
thank u in advance
kavira
I have a stored procedure where I want to loop through the nodes of an XML type and use its values to perform string concatination.
I'm new to the XML type in SQL Server and to XQuery in T-SQL and am wondering if someone can point me in the right direction. The XML samples I've found so far focuses on returning a set of nodes or building XML to store, not reading it in T-SQL and building strings.
hello,
i have a problem to concatinte sigle quotes to variable value
declared a variable name @a as varchar(30)
set @a='keerthi'
now i would like to concatinate sigle quotes in front of string and back of string.
set @a= "'" + @a + "'"
here it is giving error.
plese give me some solution
thanks
ravi
I have a MyNames table which contains over 100 columns. The Name column may have the same name in many rows. The data looks like this.
Name..........Factor1..........Factor2...
John..........X................Y
John..........X................X
Mary..........T................Y
Mary..........V................Y
I need a result table containing all 100 columns from MyNames but only the unique names in the name column. I don’t care which name row is used.
Name..........Factor1..........Factor2...
John..........X................Y
Mary..........V................Y
I have tried DISTINCT and GROUP BY.
DISTINCT will unique on every column listed so I will end up with the name repetred in the Name column.
SELECT DISIINCT Name, Factor1, Factor2 => I do not want the Factor columns involved in the distinct. This will cause the same name to appear in more than one row.
Group by will requires that I place the remaininf 99 columns in a function in order to have the columns listed.
SELECT Name, MAX(Address)... => adding 99 fields.
Is there a way get only the unique Names with the 99 other columns with out having to manually put the other 99 columns in functions?
Hello...
I am going crazy trying to figure out how to do this. I have a flat file which I am massaging the data and loading into a table here is an example of a line out of the flat file:
"ABC NUTRITIONAL PRODUCTS","550","","","N","FAIR OAKS","","","COLORADO SPRINGS","C0","","","","","","","","A","","",""
My problem is that I have one field which is this address in a concatinated form. The fields that do not apply to this entry are suite#, floor# and other columns which are designated by the "" characters. The final concatinated addres field looks like this:
"550""""N""FAIR OAKS"""
I would like to remove the "" characters in the concatinated string. I just don't know the best way to do this? I was told DTS had a way of removing the "" from the flat file source. Since I have not used DTS extensively I am not sure if this is true. I was wondering how in SSIS I could go about removing the "" marks without removing the "" say if someone is quoted eg. John said "This is only a test". Removing the quotation marks in this instance would be changing the data. I am not sure how to do this and any help or advice is greatly appreciated!
Thank you...
Hi,I guess my brain stopped but I need help with this. create table #RETURN( uid int, cid int, serviceid int )
insert into #RETURN select 44,75,2 insert into #RETURN select 44,76,1 insert into #RETURN select 44,77,3 insert into #RETURN select 45,78,3I need to query this table that will get me a distinct UID with matching CID ordered by serviceid from lowest to highest.The solution should look likeuid cid44 7645 78Thanks
I have a table, Table1 with 3 columns as follows: colItemKey, colGrouping1, colGrouping2.
colItemKey is the primary key. Say colGrouping1 has 4 different types: Grp1A, Grp1B, Grp1C and Grp1D and colGrouping2 has 5 as follows: Grp2A, Grp2B, Grp2C, Grp2D and Grp2E. How do I setup my select so that the result set is as follows:
Grp2A Grp2B Grp2C Grp2D Grp2E
Grp1A nnn nnn nnn nnn nnn
Grp1B nnn nnn nnn nnn nnn
Grp1C nnn nnn nnn nnn nnn
Grp1D nnn nnn nnn nnn nnn
I have a table with the following columns
Num,ID,Pos,Value
74 ,1,2,beck
74 ,1,2,greg
74 ,1,9,mike
74 ,1,9,laggo
74 ,2,2,beck
74 ,2,2,greg
74 ,2,9,mike
74 ,2,9,laggo
I am trying to get the result as follows.
Num Id Final Value
74 1 2,beck,greg;9,mike,laggo
74 2 2,beck,greg;9,mike,laggo
I tried to use Stuff and XMLpath but it is not giving me distinct results.
How to get the lowest U.Price along with FX and Rate.
ID-U.Price-FX-Rate
1280 19.1196 EUR 3.85
1280 46.2462 USD 3.63
1280 6.32 RM 1.00
Required output.
ID-U.Price-FX-Rate
1280 6.32 RM 1.00
Product IdIsPrimaryQuantity
P0011
P001.102
P001.204
P001.305
P0021
P002.106
P002.207
P002.309
P002.4010
P002.5011
Need the query for result each group shows multiplied value of group quantity and last row of the group is shown with NULL
Product IdSubProductQuantity
P001 40
P001 P001.3NULL
P002 41580
P002 P002.5NULL
This is same as [URL] ....
i have this schema :
CREATE DATABASE ANDEB
USE ANDEB
CREATE TABLE TDocHeader
(
CustName VARCHAR(50) NOT NULL,
DocNum INT NOT NULL,
col1 varchar(50),
[code]...
How i can have a group by for last docnum for Customer and all columns?
How can I aggregate this result into 1 row? (I got it from a UNION ALL)
Article Assort1 Assort2
50095811 K1 NULL
50095811 NULL K3
I would like to have
Article Assort1 Assort2
50095811 K1 K3
I have a table which I would like to group on several columns, and for the Contract number, I'd like a maximum of four different columns which would contain pivoted information.
Here is my DDL:
CREATE TABLE [dbo].[SV00403](
[CUSTNMBR] [char](15) NOT NULL,
[ADRSCODE] [char](15) NOT NULL,
[Contract_Number] [char](11) NOT NULL,
[WSCONTSQ] [int] NOT NULL,
[Code] ....
Here is my select statement:
SELECT[CUSTNMBR]
,[ADRSCODE]
,[Contract_Number]
,[WSCONTSQ]
,[Equipment_ID]
[Code] ...
Here are the results of the select statement:
And here is what the result set is that I would like to achieve:
The yellow indicates the group by columns. How do I pivot the contract number into the four columns noted above ?
Hello Friends,
I have created a report using SSRS and in that report I am using group rows in one of the matrix. When I tried to display the subtotal of that group row by using the SSRS in-built feature the subtotal column is coming at the last of the matrix columns but the subtotal its showing is wrong . Its just giving the value of the first columns value.
Can anyone help me on this issue.
Thanks & Regards
Shivanandan Gupta
Hi,
I need to toggle visibility of group of columns in reporting services report, just like we can do for rows. I know that individual fields can be hidden, but i need to hide/show complete column.
Thanks in anticipation.
Saeed
Greetings.I'm having a little trouble with a query. The idea is simple I need todisplay a list of recently unique visited URLs and the last time Ivisited.I have 2 table one stores the user and time/date and another has theURL.So all I need is the URL (no duplicates) and the last visit.Below is the SQL to create the tables and data to help with the query.Thank you for your help.CREATE TABLE [stat_hits] ([hit_id] [int] (1, 1) NOT NULL ,[hit_date] [datetime] NOT NULL CONSTRAINT [DF_stat_hits_hit_date]DEFAULT (getdate()),[user_id] [varchar] (12) NOT NULL ,[hit_ip] [varchar] (15) NOT NULL ,[shp_id] [int] NOT NULL ,CONSTRAINT [PK_stat_hits] PRIMARY KEY CLUSTERED([hit_id]) ON [PRIMARY]) ON [PRIMARY]GOCREATE TABLE [stat_hit_pages] ([shp_id] [int] (1, 1) NOT NULL ,[shp_url] [varchar] (1000) NULL ,[shp_count] [int] NULL ,CONSTRAINT [PK_stat_hit_pages] PRIMARY KEY CLUSTERED([shp_id]) ON [PRIMARY]) ON [PRIMARY]GOINSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37878,'2005-06-01 16:07:35','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37877,'2005-06-01 16:07:13','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37876,'2005-06-01 15:41:17','ADMIN','0.0.0.0',7339)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37875,'2005-06-01 15:41:03','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37874,'2005-06-01 15:20:31','ADMIN','0.0.0.0',7330)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37873,'2005-06-01 15:20:28','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37872,'2005-06-01 14:45:46','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37871,'2005-06-01 14:35:51','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37870,'2005-06-01 14:30:25','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37869,'2005-06-01 14:28:28','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37868,'2005-06-01 14:28:23','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37867,'2005-06-01 14:28:17','ADMIN','0.0.0.0',7322)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37866,'2005-06-01 14:28:15','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37861,'2005-06-01 14:27:09','ADMIN','0.0.0.0',7339)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37860,'2005-06-01 14:27:05','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37859,'2005-06-01 14:26:59','ADMIN','0.0.0.0',7322)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37858,'2005-06-01 14:26:58','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37853,'2005-06-01 14:25:59','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37852,'2005-06-01 14:23:51','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37851,'2005-06-01 13:58:49','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37850,'2005-06-01 13:44:06','ADMIN','0.0.0.0',7330)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37849,'2005-06-01 13:44:04','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37848,'2005-06-01 13:44:04','ADMIN','0.0.0.0',7340)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37847,'2005-06-01 13:43:58','ADMIN','0.0.0.0',7330)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37846,'2005-06-01 13:43:53','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37845,'2005-06-01 13:26:29','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37844,'2005-06-01 13:22:34','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37843,'2005-06-01 13:22:29','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37842,'2005-06-01 13:21:15','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37841,'2005-06-01 13:19:17','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37840,'2005-06-01 13:17:20','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37839,'2005-06-01 13:17:20','ADMIN','0.0.0.0',7320)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37838,'2005-06-01 11:55:15','ADMIN','0.0.0.0',7339)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37837,'2005-06-01 11:55:09','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37836,'2005-06-01 11:53:08','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37835,'2005-06-01 11:53:01','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37834,'2005-06-01 11:34:34','ADMIN','0.0.0.0',7337)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37833,'2005-06-01 11:34:24','ADMIN','0.0.0.0',7336)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37832,'2005-06-01 11:02:59','ADMIN','0.0.0.0',7335)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37831,'2005-06-01 11:02:53','ADMIN','0.0.0.0',7334)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37830,'2005-06-01 11:02:46','ADMIN','0.0.0.0',7324)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37829,'2005-06-01 11:02:40','ADMIN','0.0.0.0',7333)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37828,'2005-06-01 11:02:31','ADMIN','0.0.0.0',7332)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37827,'2005-06-01 11:02:25','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37826,'2005-06-01 11:02:21','ADMIN','0.0.0.0',7331)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37825,'2005-06-01 11:02:12','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37824,'2005-06-01 11:01:23','ADMIN','0.0.0.0',7330)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37823,'2005-06-01 11:01:21','ADMIN','0.0.0.0',7328)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37822,'2005-06-01 11:01:20','ADMIN','0.0.0.0',7327)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37821,'2005-06-01 10:58:23','ADMIN','0.0.0.0',7330)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37820,'2005-06-01 10:58:10','ADMIN','0.0.0.0',7328)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37819,'2005-06-01 10:58:09','ADMIN','0.0.0.0',7327)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37818,'2005-06-01 10:55:27','ADMIN','0.0.0.0',7326)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37817,'2005-06-01 10:55:23','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37816,'2005-06-01 10:55:17','ADMIN','0.0.0.0',7322)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37815,'2005-06-01 10:55:16','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37810,'2005-06-01 10:54:20','ADMIN','0.0.0.0',7330)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37809,'2005-06-01 10:54:12','ADMIN','0.0.0.0',7329)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37808,'2005-06-01 10:51:30','ADMIN','0.0.0.0',7328)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37807,'2005-06-01 10:51:29','ADMIN','0.0.0.0',7327)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37806,'2005-06-01 10:51:10','ADMIN','0.0.0.0',7328)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37805,'2005-06-01 10:51:09','ADMIN','0.0.0.0',7327)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37804,'2005-06-01 10:35:46','ADMIN','0.0.0.0',7326)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37803,'2005-06-01 10:35:41','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37802,'2005-06-01 10:35:29','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37801,'2005-06-01 10:35:21','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37800,'2005-06-01 10:35:20','ADMIN','0.0.0.0',7320)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37799,'2005-06-01 10:33:58','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37798,'2005-06-01 10:33:50','ADMIN','0.0.0.0',7328)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37797,'2005-06-01 10:33:50','ADMIN','0.0.0.0',7327)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37796,'2005-06-01 10:33:09','ADMIN','0.0.0.0',7326)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37795,'2005-06-01 10:33:05','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37794,'2005-06-01 10:32:45','ADMIN','0.0.0.0',7324)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37793,'2005-06-01 10:32:18','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37792,'2005-06-01 10:31:47','ADMIN','0.0.0.0',7322)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37791,'2005-06-01 10:31:31','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37790,'2005-06-01 10:31:31','ADMIN','0.0.0.0',7320)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37789,'2005-06-01 10:30:04','ADMIN','0.0.0.0',7320)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37788,'2005-05-31 20:49:56','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37787,'2005-05-31 20:49:54','ADMIN','0.0.0.0',5942)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37786,'2005-05-31 20:49:54','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37785,'2005-05-31 20:49:02','ADMIN','0.0.0.0',5942)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37784,'2005-05-31 20:48:54','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37783,'2005-05-31 20:48:53','ADMIN','0.0.0.0',5942)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37782,'2005-05-31 20:48:52','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37781,'2005-05-31 20:48:41','ADMIN','0.0.0.0',5941)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37780,'2005-05-31 20:48:37','ADMIN','0.0.0.0',215)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37779,'2005-05-31 20:48:30','ADMIN','0.0.0.0',4)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37775,'2005-05-31 20:46:44','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37774,'2005-05-31 20:46:40','ADMIN','0.0.0.0',7319)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37773,'2005-05-31 20:46:39','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37772,'2005-05-31 20:46:12','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37771,'2005-05-31 20:46:09','ADMIN','0.0.0.0',7319)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37770,'2005-05-31 20:46:08','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37769,'2005-05-31 20:45:55','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37768,'2005-05-31 20:45:52','ADMIN','0.0.0.0',7319)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37767,'2005-05-31 20:45:51','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37766,'2005-05-31 20:45:33','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37765,'2005-05-31 20:45:29','ADMIN','0.0.0.0',7319)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37764,'2005-05-31 20:45:29','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37763,'2005-05-31 20:45:28','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37762,'2005-05-31 20:44:52','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37761,'2005-05-31 20:44:48','ADMIN','0.0.0.0',7319)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37760,'2005-05-31 20:44:47','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37759,'2005-05-31 20:44:23','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37758,'2005-05-31 20:44:18','ADMIN','0.0.0.0',7319)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37757,'2005-05-31 20:44:18','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37756,'2005-05-31 20:43:50','ADMIN','0.0.0.0',6258)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37755,'2005-05-31 20:43:41','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37754,'2005-05-31 20:43:37','ADMIN','0.0.0.0',7318)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37753,'2005-05-31 20:43:36','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37752,'2005-05-31 20:43:31','ADMIN','0.0.0.0',7317)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37751,'2005-05-31 20:43:16','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37750,'2005-05-31 20:43:10','ADMIN','0.0.0.0',6684)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37749,'2005-05-31 20:43:10','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37748,'2005-05-31 20:40:04','ADMIN','0.0.0.0',7318)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37747,'2005-05-31 20:40:00','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37746,'2005-05-31 20:39:52','ADMIN','0.0.0.0',7317)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37745,'2005-05-31 20:39:24','ADMIN','0.0.0.0',7316)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37744,'2005-05-31 20:39:23','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37743,'2005-05-31 20:35:56','ADMIN','0.0.0.0',7315)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37742,'2005-05-31 20:35:43','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37741,'2005-05-31 20:34:17','ADMIN','0.0.0.0',7314)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37740,'2005-05-31 20:34:17','ADMIN','0.0.0.0',1449)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37739,'2005-05-31 20:34:01','ADMIN','0.0.0.0',7313)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37738,'2005-05-31 20:33:54','ADMIN','0.0.0.0',7312)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37737,'2005-05-31 20:12:57','ADMIN','0.0.0.0',6681)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37736,'2005-05-31 20:09:40','ADMIN','0.0.0.0',6681)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37735,'2005-05-31 20:09:33','ADMIN','0.0.0.0',6258)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37734,'2005-05-31 20:09:03','ADMIN','0.0.0.0',6681)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37733,'2005-05-31 20:08:49','ADMIN','0.0.0.0',7289)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37732,'2005-05-31 20:08:44','ADMIN','0.0.0.0',6254)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37731,'2005-05-31 20:08:42','ADMIN','0.0.0.0',3443)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37730,'2005-05-31 20:08:40','ADMIN','0.0.0.0',7282)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37729,'2005-05-31 20:08:32','ADMIN','0.0.0.0',5983)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37728,'2005-05-31 20:08:24','ADMIN','0.0.0.0',6960)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37727,'2005-05-31 20:08:22','ADMIN','0.0.0.0',5918)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37726,'2005-05-31 20:08:18','ADMIN','0.0.0.0',25)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37725,'2005-05-31 20:08:15','ADMIN','0.0.0.0',5740)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37724,'2005-05-31 20:08:11','ADMIN','0.0.0.0',4)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37723,'2005-05-31 20:08:09','ADMIN','0.0.0.0',3)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37720,'2005-05-31 20:08:03','ADMIN','0.0.0.0',4)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37617,'2005-05-31 18:51:08','ADMIN','0.0.0.0',7290)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37615,'2005-05-31 18:51:00','ADMIN','0.0.0.0',7289)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37598,'2005-05-31 18:48:08','ADMIN','0.0.0.0',7282)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37597,'2005-05-31 18:48:04','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37596,'2005-05-31 18:48:03','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37595,'2005-05-31 18:47:21','ADMIN','0.0.0.0',7282)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37594,'2005-05-31 18:47:12','ADMIN','0.0.0.0',6960)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37593,'2005-05-31 18:47:09','ADMIN','0.0.0.0',5918)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37592,'2005-05-31 18:47:02','ADMIN','0.0.0.0',5740)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37590,'2005-05-31 18:46:59','ADMIN','0.0.0.0',6587)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37583,'2005-05-31 18:46:40','ADMIN','0.0.0.0',9)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37582,'2005-05-31 18:46:31','ADMIN','0.0.0.0',1691)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37580,'2005-05-31 18:46:18','ADMIN','0.0.0.0',9)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37576,'2005-05-31 18:46:04','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37575,'2005-05-31 18:46:02','ADMIN','0.0.0.0',5942)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37574,'2005-05-31 18:46:01','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37569,'2005-05-31 18:45:24','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37568,'2005-05-31 18:45:16','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37567,'2005-05-31 18:45:16','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37563,'2005-05-31 18:44:07','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37562,'2005-05-31 18:44:05','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37561,'2005-05-31 18:44:04','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37545,'2005-05-31 18:40:30','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37544,'2005-05-31 18:40:30','ADMIN','0.0.0.0',6103)INSERT INTO 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View 2 Replies View RelatedI am using SQL 2012. I have a GROUP BY and I want to select two other fields from my table at the same time: One column that is a string (account_code) and one that I need to perform a count on (customer_number). I know the code COUNT(DISTINCT customer_number) works for getting that. I need to select both of those fields on top of what I have. I have the following:
DECLARE @Providers TABLE (ID INT IDENTITY(1,1),
Provider_Name VARCHAR(20),
Uniq_Id VARCHAR(10),
Total_Spent MONEY,
Total_Earned MONEY)
INSERT INTO @Providers (Provider_Name, Uniq_Id,Total_Spent,
Total_Earned)
[Code] .....
Consider the following dataset:
COL1 | COL2 | COL3 | COL4
1 | FD | DR. A | Y
2 | FD | DR. A | Y
3 | FD | DR. A | N
4 | FD | DR. A | Y
5 | FD | DR. A | Y
6 | PF | DR. A | Y
7 | FD | DR. B | Y
8 | PF | DR. B | N
Consider the script below:
SELECT
COL2, COL3, COUNT(COL1) AS TOTALS
FROM CASES
GROUP BY COL2, COL3
ORDER BY COL3, COL2
The script above produces the following output:
COL2 | COL3 | TOTALS
FD | DR. A | 5
PF | DR. A | 1
FD | DR. B | 1
PF | DR. B | 1
I need to add one more column to the script that counts records with 'Y' in COL4 for each COL1 category (FD, PF). The final dataset would look like this:
COL2 | COL3 | TOTALS | NEWCOL
FD | DR. A | 5 | 4
PF | DR. A | 1 | 1
FD | DR. B | 1 | 1
PF | DR. B | 1 | 0
I am having a hard time trying to use COUNT() on multiple columns with the GROUP BY restrictions that exist.
Hello All,
I am trying to convert the rows in a table to columns. I have found similar threads on the forum addressing this issue on a high level suggesting the use of cursors, PIVOT Transform, and other means. However, I would appreciate if someone can provide a concrete example in T-Sql for the following subset of my problem.
Consider that we have Product Category, Product and its monthly sales information retrieved as follows:
CategoryID
ProductID
ProductName
Month
UnitPrice
QtySold
SalesAmount
1
1
Panel
Jan
5
10
50
1
1
Panel
Feb
5
15
75
1
1
Panel
Mar
5
20
100
1
2
Frame
Jan
10
30
300
1
2
Frame
Feb
10
25
250
1
2
Frame
Mar
10
20
200
1
3
Glass
Jan
20
10
200
1
3
Glass
Feb
20
20
400
1
3
Glass
Mar
20
30
600
I would like it to be converted into following result set:
CategoryID
ProductID
ProductName
UnitPrice
QtySold_Jan
SalesAmt_Jan
QtySold_Feb
SalesAmt_Feb
QtySold_Mar
SalesAmt_Mar
1
1
Panel
5
10
50
15
75
20
100
1
2
Frame
10
30
300
25
250
20
200
1
3
Glass
20
10
200
20
400
30
600
I have purposefully included QtySold here as I need to display both Quantity and Sales as measured column groups in my report. Can this be achieved in sql? I would appreciate any responses.
Thanks.
Given the attached report, is there an easy way of calculating the difference between the Today and QTR Start column? Because of the Account Group, the report looks like the sample shown on the second image.
Sample report:
I have a SQL query like this
select CurrencyCode,TransactionCode,TransactionAmount,COUNT(TransactionCode) as [No. Of Trans] from TransactionDetails where CAST(CurrentTime as date)=CAST(GETDATE()as date) group by TransactionCode, CurrencyCode,TransactionAmount order by CurrencyCode
As per this query I got the result like this
CurrencyCode TransactionCode TransactionAmount No.OfTrans
AED BNT 1 1
AED BNT 12 1
AED SCN 1 1
AED SNT 1 3
[Code] ....
But I wish to grt result as
CurrencyCode TransactionCode TransactionAmount No.OfTrans
AED BNT 13 2
AED SCN 1 1
AED SNT 11 7
AFN BPC 8 6
[Code] ....
I also tried this
select CurrencyCode,TransactionCode,TransactionAmount,COUNT(TransactionCode) as [No. Of Trans]
from TransactionDetails where CAST(CurrentTime as date)=CAST(GETDATE()as date)
group by TransactionCode order by CurrencyCode
But of course this codes gives an error, but how can I get my desired result??
In report builder 3.0 I have row groups. I want a total at the end of each row but I want the total to be broken down by 3 columns based on 3 possible values of a field in the dataset. The report expands as the date range entered is increased. I want the total of clinic id + service id + program id + protocol id + appointment date but I want the total column to be broken down by appts that have shown or not shown or canceled.
See screenshots below for seeing how I have it configured. Is this possible? I have tried every combination of possibilities but I keep getting the row total in each of the 3 columns comprised of the total column.
and
The results look like:
The last Total column displays the entire row count NOT separated by the show, no show, and cancel status'. I have tried filters and different expressions but keep getting the same output. Is this even possible?
I have an SSRS 2012 table report with groups; each group is broken ie. one group for one page, and there are multiple groups in multiple pages.
'GroupName' column has multiple values - X,Y,Z,......
I need to group 'GroupName' with X,Y,Z,..... ie value X in page 1,value Y in page 2, value Z in page 3...
Now, I need to display another column (ABC) in this table report (outside the group column 'GroupName'); this outside column itself is another column header (not a group header) in the table (report) and it derives its name partly from the 'GroupName' values:
Example:
Value X for GroupName in page 1 will mean, in page 1, column Name of ABC column must be ABC-X Value Y for GroupName in page 2 will mean, in page 2, column Name of ABC column must be ABC-Y Value Z for GroupName in page 3 will mean, in page 3, column Name of
ABC column must be ABC-Z
ie the column name of ABC (Clm ABC) must be dynamic as per the GroupName values (X,Y,Z....)
Page1:
GroupName Clm ABC-X
X
Page2:
GroupName Clm ABC-Y
Y
Page3:
GroupName Clm ABC-Z
Z
I have been able to use First(ReportItems!GroupName.Value) in the Page Header to get GroupNames displayed in each page; I get X in page 1, Y in page 2, Z in page 3.....
However, when I use ReportItems (that refers to a group name) in the Report Body outside the group,
I get the following error:
Report item expressions can only refer to other report items within the same grouping scope or a containing grouping scope
I need to get the X, Y, Z ... in each page for the column ABC.
I have been able to use this - First(Fields!GroupName.Value); however, I get ABC-X, ABC-X, ABC-X in each of the pages for the ABC column, instead of ABC-X in page 1, ABC-Y in page 2, ABC-Z in page 3, ...
Hello:
I am running into an issue with RS2k PDF export.
Case: Exporting Report to PDF/Printing/TIFF
Report: Contains 1 table with 19 Columns. 1 column is static, the other 18 are visible at the users descretion. Report when printed/exported to pdf spans 2 pages naturally, 16 on the first page, 3 on the second, and the column widths have been adjusted to provide a perfect page span .
User A elects to hide two of the columns, and show the rest. The report complies and the viewable version is perfect, the excel export is perfect.. the PDF export on the first page causes every fith column, starting with the last column that was hidden to be expanded to take up additional width. On the spanned page, it renders the first column on that page correctly, then there is a white space gap equal to the width of the hidden columns and then the rest of the cells show with the last column expanded to take up the same width that the original 2 columns were going to take up, plus its width.
We have tried several different settings to see if it helps this issue or makes it worse. So far cangrow/canshrink/keep together have made no impact. It is not possible to increase the page size due to limited page size selection availablility for the client. There are far too many combinations of what the user can elect to show or hide to put together different tables to show and hide on the same report to remove this effect.
Any help or suggestion on this issue would be appreciated