I have a table the records the results of three different tests that are graded on a scale of 1-7. The table looks something like this. PersonId TestA TestB TestC
1 4 5 4 2 6 2 4 3 5 5 6 4 1 5 1
I would like to have a SQL statement that would pivot all this data into something like this
Test 1 2 3 4 5 6 7 A 1 0 0 1 1 1 0 B 0 1 0 0 3 0 0 C 1 0 0 2 0 1 0
Where the value for each number is a count of the number of people with that result.
The best solution that I have been able to come up with is to pivot each test and UNION ALL the results together. Is there a way to do this in a single statement?
(If this has already been covered I apologize, but I could not find the solution.)
Code written so far. this pivots the column deck and jib_in into rows but thats it only TWO ROWS i.e the one i put inside aggregate function under PIVOT function and one i put inside QUOTENAME()
DECLARE @columns NVARCHAR(MAX), @sql NVARCHAR(MAX); SET @columns = N''; SELECT @columns += N', p.' + QUOTENAME(deck) FROM (SELECT p.deck FROM dbo.report AS p GROUP BY p.deck) AS x;
[Code] ....
I need all the columns to be pivoted and show on the pivoted table. I am very new at dynamic pivot. I tried so many ways to add other columns but no avail!!
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:
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.
I have a table with 40k terms and I need to map these to a set of objects where each object is represented as a column(tinyint). The object/column name is represented as a guid and columns are added/removed dynamically to support new objects for a set of terms.
I think I need to then convert this set of rows to a table which I can join to the object runtime table to start these objects if the column has a count/sum greater than 0. This is the table I think I need in order to join on guids to the runtime table:
NAME Count =========== guid10 guid22 guid32 guid40 guid51
I don't know how to construct this table for the former table. I think it may be a pivot table, but I don't know. I have the column names:
SELECT NAME FROM SYSCOLUMNS WHERE ID = OBJECT_ID(#Temp) ORDER BY COLID
NAME is a sysname, which doesn't seem to cast into a guid, also a problem when joining the runtime table with this #Temp table.
I also don't want to use a cursor to construct a table.
I am workong on this Pivot select. At it is last part, I want to find a way to re-arrange the column order. Here is the test data:
if OBJECT_ID ('tempdb..#temp') is not null drop table #temp go create table #temp(b_date varchar(15), Gender varchar(5), Admin_date varchar(15), S_ID int, TEST_NAME varchar(5),SCHOOL_YEARvarchar(5), PART_DESCRIPTIONvarchar(15),Test_Score int)
[code]....
But the output requries the last couple columns to be SCHOOL_YEAR, TEST_NAME, i.e. they come after the scores.I thought the easiest way will be to select into #temp2, then extract from there. Even that, I couldn't get that to work with the select pivot.
I have a simple query showing customer net invoice value by month and work type. What I would like to do is to summarise the data so that for every customer I see the net invoice value for each work type for each month.
I would like to see this as: Group, Customer, Period and then the individual work types, of which there are always 8, as columns with the net invoice value under each of them. How can I accomplish this best? Sample code and results are below:
select [Group], [Customer], [Period], [Work_Type], Isnull([Invoiced],0) [Net] from vw_R_Damages
Group Customer Period Work_Type Net ------------------------------------------------------------ ------------------------------------------------------------ --------------------------------- -------------------- --------------------- JARVIS CONTRACTING LIMITED JARVIS CONTRACTING LIMITED 2011-12 Breakdown / Call out 0.00 JARVIS CONTRACTING LIMITED JARVIS CONTRACTING LIMITED 2011-12 Breakdown / Call out 0.00 BARRATT BARRATT NORTHAMPTON 2011-12 Breakdown / Call out 0.00
I currently have a pivot table that is working great but I need to add to it. The below code is giving me the total ServiceTime per date, which is dynamic. I need to split this service time out depending on the stage of this note.
1) If the note has been signed 2) If the note has been signed and countersigned
SUM(CASE WHEN countersigned_id IS NULL AND signed_id IS NOT NULL THEN ISNULL(d.time_face, 0) + ISNULL(d.time_other, 0) ELSE 0 END) as PendingServiceTime,
SUM(CASE WHEN countersigned_id IS NOT NULL THEN ISNULL(d.time_face, 0) + ISNULL(d.time_other, 0) ELSE 0 END) as ApprovedServiceTime
How do I add this to my pivot table query? I am thinking that I need to have two seperate queries and join them together some how.
SELECT lastname + ', ' + firstname as FullName, [12/3/2007], [12/4/2007], [12/5/2007] FROM (SELECT p.LastName, p.FirstName, t.ServiceDate,
ISNULL(d.time_face, 0) + ISNULL(d.time_other, 0) AS ServiceTime
FROM dbo.allNotes(8) AS t LEFT JOIN dbo.note_Collateral_provider AS d ON d.note_Collateral_id = t.ID LEFT JOIN dbo.Personnel as p ON d.personnel_id = p.ID LEFT JOIN dbo.Clients as c on t.ClientID = c.ID LEFT JOIN fPayor(8) fp on fp.noteId = t.id and fp.dbTable = 'collateral' LEFT JOIN dbo.payor py ON py.ID = substring(fp.fPayorName, 41, 19) LEFT JOIN dbo.payorinfo pyInfo ON pyInfo.ID = py.payorinfoid WHERE t.AgencyID = 8 AND t.tableName = 'collateral' AND t.not_billable_reason_id IS NULL AND VOID_ID IS NULL AND ((t.signed_id IS NOT NULL AND t.countersigned_id IS NULL) OR (t.countersigned_id IS NOT NULL)) AND t.ServiceDate BETWEEN CONVERT(DATETIME, '12/03/2007') AND CONVERT(DATETIME, '12/05/2007') ) rs Pivot (SUM(rs.ServiceTime) FOR rs.ServiceDate IN ([12/3/2007], [12/4/2007], [12/5/2007]
I have a business need to create a report by query data from a MS SQL 2008 database and display the result to the users on a web page. The report initially has 6 columns of data and 2 out of 6 have JSON data so the users request to have those 2 JSON columns parse into 15 additional columns (first JSON column has 8 key/value pairs and the second JSON column has 7 key/value pairs). Here what I have done so far:
I found a table value function (fnSplitJson2) from this link [URL]. Using this function I can parse a column of JSON data into a table. So when I use the function above against the first column (with JSON data) in my query (with CROSS APPLY) I got the right data back the but I got 8 additional rows of each of the row in my table. The reason for this side effect is because the function returned a table of 8 row (8 key/value pairs) for each json string data that it parsed.
1. First question: How do I modify my current query (see below) so that for each row in my table i got back one row with 19 columns.
SELECT A.ITEM1,A.ITEM2,A.ITEM3,A.ITEM4, B.* FROM PRODUCT A CROSS APPLY fnSplitJson2(A.ITEM5,NULL) B
If updated my query (see below) and call the function twice within the CROSS APPLY clause I got this error: "The multi-part identifier "A.ITEM6" could be be bound.
2. My second question: How to i get around this error?
SELECT A.ITEM1,A.ITEM2,A.ITEM3,A.ITEM4, B.*, C.* FROM PRODUCT A CROSS APPLY fnSplitJson2(A.ITEM5,NULL) B, fnSplitJson2(A.ITEM6,NULL) C
I am using Microsoft SQL Server 2008 R2 version. Windows 7 desktop.
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...
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,
I'm trying to write a query that puts the data present in the "Year" column as if they were in a row (column definitions)..making sums of pieces and values.. or.. to be more clear..
Hi, I just read on web that we can not use grouping columns in a variable when using PIVOT operator. For example like, USE AdventureWorks GO SELECT VendorID, [164] AS Emp1, [198] AS Emp2, [223] AS Emp3, [231] AS Emp4, [233] AS Emp5 FROM (SELECT PurchaseOrderID, EmployeeID, VendorID FROM Purchasing.PurchaseOrderHeader) p PIVOT ( COUNT (PurchaseOrderID) FOR EmployeeID IN ( [164], [198], [223], [231], [233] ) // cannot put these in a variable like @Col ) AS pvt ORDER BY VendorID;
Though it can be achieved using when making the query using dynamic sql. If some can make it clear why it is possible using dynamic sql and not with the above code.
I have a query which returns the movements to and from our warehouse stock, as well as the current stock for each depot and how much is on order. What I need is a kind of pivot so that each item is shown just once, and then summarises the movements in 4 extra columns: Last 30 days, 30-60 days, 60-90 days and 90-120 days. How can I achieve this with my query below? A sample of some of the results is also shown.
I am trying to do a PIVOT on a query result, but the column names created by the PIVOT function are dynamic.
For example (modified from the SQL Server 2005 Books Online documentation on the PIVOT operator) :
SELECT Division, [2] AS CurrentPeriod, [1] AS PreviousPeriod FROM ( SELECT Period, Division, Sales_Amount FROM Sales.SalesOrderHeader WHERE ( Period = @period OR Period = @period - 1 ) ) p PIVOT ( SUM (Sales_Amount) FOR Period IN ( [2], [1] ) ) AS pvt
Let's assume that any value 2 is selected for the @period parameter, and returns the sales by division for periods 2 and 1 (2 minus 1).
Division CurrentPeriod PreviousPeriodA 400 3000 B 400 100 C 470 300 D 800 2500 E 1000 1900
What if the value @period were to be changed, to say period 4 and it should returns the sales for periods 4 and 3 for example, is there a way I can change to code above to still perform the PIVOT while dynamically accepting the period values 4 and 3, applying it to the columns names in the first SELECT statement and the FOR ... IN clause in the PIVOT statement ?
Need a way to represent the following [2] and [1] column names dynamically depending on the value in the @period parameter.
[2] AS CurrentPeriod, [1] AS PreviousPeriod
FOR Period IN ( [2], [1] )
I have tried to use the @period but it doesn't work.
I found this Microsoft article for creating crosstab-like queries in SSMS.Is it possible, however, to create this same query if I do not know what the values for the columns will be? Using their example for my problem, I will not know what the values in the "IN" criteria will be because my query would be for a "rolling" 12 months (thus causing that IN criteria to change every month).I've tried declaring variables to pull in the values, but since this will eventually go into a view, I don't think that I can use declared variables.
I am trying to figure out how to pivot a temporary table. I have a table which starts with a date but the number of columns and columns names will vary but will be type INT (Data, col2,col3,col4………….n)
So it could look like
Date , TS-Sales, Budget , Toms sales 01-Jan-14,100,120,300 02-Jan-14,80,150,300 03-Jan-14,100,20,180
What I want is to be able to sum al the columns but without knowing the name and the amount columns to start with this is a manually processes. How could I automate this?
I currently have data stored in a temporary table and I would like to transpose the data into a better format. I would like for the query to be dynamic since one of the tables currently has over 500 columns.
The attached file provides an example of the table structure along with sample data. Below the first set of data is the desired final format.
The first select is running fine but due to extra values added to the table the list of manual difined columns must be added manualy each time new values occur.
Is it possible to make the PIVOT's IN clause dynamicly as stated in the second script (it is based on the same table #source) when running it prompts the next error;
Msg 156, Level 15, State 1, Line 315 Incorrect syntax near the keyword 'select'. Msg 102, Level 15, State 1, Line 315 Incorrect syntax near ')'.
adding or moving ')' or '(' are not working.......
select * into #temp from #source pivot ( avg(value) for drive in ([C], [D], [E], [F], [G], [H], [T], [U], [V] )) as value select * from #temp order by .........
versus
select * into #temp from #source pivot ( avg(value) for drive in (select distinct(column) from #source)) as value
I am facing a problem in writing the stored procedure for multiple search criteria.
I am trying to write the query in the Procedure as follows
Select * from Car where Price=@Price1 or Price=@price2 or Price=@price=3 and where Manufacture=@Manufacture1 or Manufacture=@Manufacture2 or Manufacture=@Manufacture3 and where Model=@Model1 or Model=@Model2 or Model=@Model3 and where City=@City1 or City=@City2 or City=@City3
I am Not sure of the query but am trying to get the list of cars that are to be filtered based on the user input.
