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
Hello,
I'm using SSRS 2005
I'm trying to write an expression for the "Hidden" property of a column in a table. The column is only populated with data if the group on my table is open. If the group is collapsed, then the column is empty. I'd like to make the column hidden if the group is collapsed. So I'm thinking it would be something like this:
=Iif(Table_1_Group.Hidden = "True", "True", "False")
But I can't find anyone who has written this anywhere.
I'm basically trying to make this report do the same thing a matrix does, but the matrix doesn't let me label the columns. I put textboxes above the matrix in line with the columns, but when I deploy the report to ReportManager, the textboxes get thrown all over the place and don't line up with the columns anymore.
So I guess if you can't answer the first question, an alternate question I have is how are you supposed to label the columns (row groups) in your matrix? They don't have headers, if I try to line textboxes up with them they get all messed up during deployment. They have that textbox up there in the top left corner that runs across the top of all of the row group columns, but if I put labels separated spaces in that textbox, the spaces get removed in rendering so the text is pushed all to the left and doesn't line up anymore.
Thanks,
Andy
I already have a row visibility on the details group which is toggled by the Sum(Case_Load) Text box.
What I would now like to do is some columns to the right where the field is part of the details group but the column is only visible when it is toggled by the Sum(Case_Load) Text box.
I keep getting the message that "Toggle items must be text boxes that share the same scope as the hidden item or are in a scope that contains the hidden item, and cannot be contained within the current report item unless current grouping scope has a Parent"
Greetings,
I have five rows in a group header.
The top row is a true header row with details that will always be there and will always be visible.
The bottom four rows have their Visibility.Hidden property set to 'TRUE'.
All four of the bottom rows are assigned the same Visibility.ToggleItem.
Of the four bottom rows, any or all of them may not have data at any one time.
I want to find a way of allowing the rows to toggle from hidden to visible, but if one or all of the rows have a field item whose value is 0 then that row must remain invisible regardless of whether it is toggled.
I am still working on this puzzle, but if someone can provide me with an easy solution while I struggle, I would greatly appreciate it.
Thanks!
Hi,
I am trying to create a report that should have a dynamic toggle visible, so that when the parent is of a certain type the toggle button (+, -) would not appear and in the other case it will.
Is this possible? I can use expressions in the visible field but not in the toggle one, so how can i manage it?
Best Regards,
Luis Simoes
Hi All,
I want to toggle visiblity of a parameter in sql server reporting services 2005. Please anyone tell me how to do it?
Please help me.
I want to toggle visiblity of a parameter at runtime.
Please tell me how to achieve this.
I'm attempting a create a matrix report that will have some rows with drilldown data and some without. On the rows without drilldown data, I wanted to hide the toggle image so that the user would know there was none available. So far, I've only been able to accomplish this by creating a duplicate row group and displaying no text for its cell. Then by changing its visibility, the toggle image would go away. However; while this makes the report look good, it breaks the export to excel because the other row column that contains the data must stay visible and the excel drill down functionality goes away.
Does anyone have a way of changing the visibility of the toggle image on a row by row basis within the Matrix control?
Any assistance would be appreciated!
I want to toggle the visibility of a report item in my page footer based on whether or not a particular subreport has been rendered.
The report has 3 subreports. The subreport above the subreport in question can span several pages, so the subreport I want information on can render on page 1 (for a short report) or page 12 (for example) on a longer report.
Is there a way to determine within the main report when a particular subreport has been rendered and is currently visible?
Thanks in advance for all replies.
John
Hi,
I need help to hide [+]/[-] sign when a group doesnot have any item in it. Currently, I have a table with a group header where I put the companyName and in the detail section I put the users for that company. I want that, if a company doesnot have any users then there should not be any [+]/[-] sign next to it. Please help!!
Thanks,
-Rohit
Hi,
I have a SSRS 2005 report with a table and several groupings. These groupings are made visible with toggle items.
I am trying to determine how to make the associated group headings (entered within table header) visible or not visible depending on the visibility state of the groupings.
Example: (initial state with group1 only visible)
Group1 Heading Count Sum
+Group1 999 999
(click + sign to make visible group 2)
Group1 Heading Group2 Heading Count Sum
-Group1 999 999
+Group2 888 888
etc.. for remaining groups
I've tried toggling the table header column the same way I did the group, but the group scope isn't available so I don't know what to use. (Manually putting it in causes report error.)
I don't know what visibility expression to use because I can't figure out what report item I can look at to determine the group's visibility "status" in order to make an expression.
Any ideas?
Note: I did see a similar post from sadsac, but the "answer" didn't address this.
Thanks
I have a table with 5 levels of grouping and a detail row. When the report first displays it looks like this:
Group1 Hdr Group2 Hdr Group3 Hdr Group4 Hdr Group5 Hdr Detail Headers
+Group1-Item1
+Group1-Item2
+Group1-Item3
How can I alter the visibility of the group headers when they don't have access into the scope of the groups themselves ? At startup, I only want to show group1's header. If I expand an item in group 1, then I only want to show headers for group 1 and 2, etc ...
Thanks
Hi,
how to change visibility of a column group in a matrix?
Thanks,
Igor
Hi,
Running visual studio 2005 on win XP with 2GB ram.
Reporting server Windows 2003, SQL 2005 Enterprise
I have a SSRS 2005 report that runs just fine when all fields are expanded. All the groups are there, and all is right with the world.
I now right click the detail line, edit group, choose visibility, select "visibility can be toggled by another report item", leaving "initial visibility" as "Visible" and again, the report runs in about 10 seconds and works fine.
I go back into the report and choose visibility and set the initial visibility to "hidden" and the report runs for a little longer (not much) but fails with a "system.outofmemoryexception" error. this happens when the "devenv.exe" process hits about 840MB.
Has anyone found a work around to this issue? The report is returning about 28,000 records of about 23 fields, so it isn't as if it is a massive data set that it is working with.
There are a lot of small groups, but even if I turn off the togge option, with the group having an initial visibility of hidden, the memory usage goes through the roof until the PC runs out of memory.
Curiously, when I publish the report to the same PC and run it in IE, it runs with no problems (albeit take a long time to retunr rows - even though the query runs in under a second).
It appears to be the rendering that is causing the memory balloon. Is there any way to reduce the memory usage of the rendering engine?
Any ideas would be appreciated
Hi all,
Currently, I am using the SSRS 2005 and try to toggle the report columns similar to Excel's column grouping function. Users can expand "+" / collapse "-" the columns in the render excel report. It works fine when I excute the tabular report in the web yet the toggle function is missing when I render the report to an Excel report. I am not sure the toggle function will only work for the row items or both as the excel report can keep the toggle function for the row items. Please help.
I am creating a product details page that is passing the string from my products database table. I am just wondering what is the best way to filter out a column depending on the information that is in the Product_Category Column For example my database products table has the following...ProductIDProduct_NameProduct_NumberProduct_CategoryProduct_InstructionsProduct_Costetc...I want to make it so if the Product_Category = BooksThen TABLEROW with the ID of "ProductInstructions" will have a visibility of "False"
View 3 Replies View RelatedI'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...
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 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?
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 .
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
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.