What I would like to end up with is a pivot table of each account, the trigger code and service codes attached to that account, and the rate for each.
I have been able to dynamically get the pivot, but I'm not joining correctly, as its returning every dynamic column, not just the columns of a trigger code. The code below will return the account and trigger code, but also every service code, regardless of which trigger code they belong to, and just show null values.
What I would like to get is just the service codes and the appropriate trigger code for each account.
SELECT @cols = STUFF((SELECT DISTINCT ',' + ServiceCode
FROM TriggerTable
FOR XML PATH(''), TYPE
).value('(./text())[1]', 'VARCHAR(MAX)')
,1,2,'')
I have two dynamic pivot tables that I need to join. The problem I'm running into is that at execution, one is ~7500 characters and the other is ~7000 characters.
I can't set them both up as CTEs and query, the statement gets truncated.
I can't use a temp table because those get dropped when the query finishes.
I can't use a real table because the insert statement gets truncated.
Do I have any other good options, or am I in Spacklesville?
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!!
SELECT TOP (100) PERCENT dbo.Filteredfs_franchise.fs_franchiseid AS FranchiseId, dbo.Filteredfs_franchise.fs_brandidname AS Brand, dbo.Filteredfs_franchise.fs_franchisetypename AS [Franchise Type], dbo.Filteredfs_franchise.fs_franchisenumber AS [Franchise Number], dbo.Filteredfs_franchise.fs_transactiontypename AS [Transaction Type], dbo.Filteredfs_franchise.fs_franchisestatusname AS [Status Code],
[Code] ....
I need to pivot this so I can get one row per franchiseID and multiple columns for [Franchisee Name Entity] and [Franchise Name Individual]. Each [Franchisee Name Entity] and [Franchise Name Individual] has associated percentage of ownership.
This has to be dynamic, because each FranchiseID can have anywhere from 1 to 12 respective owners and those can be any combination of of Entity and Individual. Please, see the attached example for Franchise Number 129 (that one would have 6 additional columns because there are 3 Individual owners with 1 respective Percentage of ownership).
The question is how do I PIVOT and preserve the percentage of ownership?
How to write a Dynamic Pivot Statement to Calculate and Organize Columns like:
CREATE TABLE #mytable ( Name varchar(50), GA int, GB int, startdate DATETIME, enddate DATETIME
[Code] ...
Below is Our Sample Table Data.
Name GAGBstartdateenddate Pavan 261/1/20151/1/2015 Hema 561/1/20151/1/2015 Surya 501/1/20151/1/2015 Pavan 811/2/20151/8/2015 Hema 311/2/20151/8/2015 Surya 121/2/20151/8/2015 Pavan 1041/9/20151/15/2015 Hema 301/9/20151/15/2015 Surya 6131/9/20151/15/2015
How to write Pivot Satement to get Oupt like below:
1/1/2015 Pavan Hema Surya SumTotal Total 8 11 5 24 GA 2 5 5 12 GB 6 6 0 12
1/8/2015 Pavan Hema Surya SumTotal Total 9 4 3 16 GA 8 3 1 12 GB 1 1 2 4
1/15/2015 Pavan Hema Surya SumTotal Total 14 3 19 36 GA 10 3 6 19 GB 4 0 13 17
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 trying to pivot some data as you would normally however I am trying to also group the pivot into three sub column groups too.
Basically the scenario is that I have three sub groups Budget, Person, RenewalDate for each Service (Service being the pivot point). So for each unique service I want to display the budget person and renewal date for each service by company.
I have created two tables to illustrate the base data and the required output.
How to do this dynamically because the number of Services is unknown, i.e. it could be 4 Services or 20, each with three sub columns, budget, person and renewal date.
Please find code below. It should be quite self explanatory as to what I am trying to do.
IMPORTANT:
1. I really need it to be dynamic 2. the Services are not standardised names, they are numbered for illustration purposes only, they vary in naming convention.
create table #BaseData ( Company nvarchar(100), Person nvarchar(50), [Service] nvarchar(100), Budget int, RenewalDate datetime )
I am having trouble figuring out why the following code throws an error:
declare @cols nvarchar(50), @stmt nvarchar(max) select @cols = ('[' + W.FKStoreID + ']') from (select distinct FKStoreID from VW_PC_T) as W select @stmt = ' select *
[Code] ...
The issue that I am having is:
Msg 245, Level 16, State 1, Line 4 Conversion failed when converting the varchar value '[' to data type int.
I know that I have to use the [ ] in order to run the dynamic sql. I am not sure what is failing and why as the syntax seems to be clean to me (obviously it is not).
I have tried building an Inline TVF, as I assume this is how it would be used on the DB; however, I am receiving the following error on my code, I must be missing a step somewhere, as I've never done this before. I'm lost on how to implement this clr function on my db?
Error: Msg 156, Level 15, State 1, Procedure clrDynamicPivot, Line 18 Incorrect syntax near the keyword 'external'. CREATE FUNCTION clrDynamicPivot ( -- Add the parameters for the function here @query nvarchar(4000), @pivotColumn nvarchar(4000),
I have written a script to pivot a table into multiple columns.
The script works when run on its own but gives an error when i try to create a view or aprocedure from the same script. The temporary table #.... does not work so i have converted it to a cte.
Here is a copy of the script below
-- Dynamic PIVOT IF OBJECT_ID('#External_Referrals') IS NULL DROP TABLE #External_Referrals; GO DECLARE @T AS TABLE(y INT NOT NULL PRIMARY KEY);
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.
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 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 have a view I've created which displays client sortname, partner and date added which displays 7 results.
When I add another table to this view to display the Industry it then only gives me 4 results as the other 3 results have no Industry instead of giving me the 7 results and showing the Industry column as empty for the other 3.
Is there a way I can make it show all 7 results and havethe column where the industry is empty display the other results instead of not displaying any results at all for them?
Script: SELECT dbo.cdbClient.cltSortName AS ClientName, dbo.vcltAttrib4.ainTVal AS ClientPartner, dbo.vcltAttrib422.ainDVal AS [Date Added], dbo.cdbAttribInst.ainTVal AS Inudstry FROM dbo.cdbClient LEFT OUTER JOIN dbo.cdbObject ON dbo.cdbClient.cltCategoryID = dbo.cdbObject.objID LEFT OUTER JOIN
[Code] ....
In the above script the cbdAttribInst table has the Industry column I need which is 'ainTVal'...
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 have a single column returned from a select statement. How can I have this returned as a vertical string? I looked into using PIVOT but my scenario seems too simple to use Pivot. I'm not requiring any aggregate functions or anything.
SELECT EventID, Role, EventDuty, Qty, StartTime, EndTime, Hours FROM dbo.tblEventStaffRequired;
and SELECT EventID, Role, StartTime, EndTime, Hours, COUNT(ID) AS Booked FROM tblStaffBookings GROUP BY EventID, Role, StartTime, EndTime, Hours;
How can I join the results of the two by matching the columns EventID, Role, StartTime and EndTime in the two and have the following columns in output EventID, Role, EventDuty, Qty, StartTime, EndTime, Hours and Booked?
We have the below query that pulls benefit ids for employees but it will show each benefit on a separate row but we would like to have just one rows for the employee and columns for each of the benefits.
I am trying to take the results of a query and re-orient them into separate columns.
select distinct W_SUMMARYDETAILS.FACILITY_ID, W_SUMMARYDETAILS.REPORTING_YEAR, (2011 - 2014, I want these years broken out into columns for each year) W_SUMMARYDETAILS.FACILITY_NAME, W_DEF_SUMMARYDETAILS.REPORTING_PERIOD (2011 - 2013, I want these years broken out into columns for each year) From W_SUMMARYDETAILS full outer join W_DEF_SUMMARYDETAILS on W_SUMMARYDETAILS.FACILITY_ID=W_DEF_SUMMARYDETAILS.FACILITY_ID and W_SUMMARYDETAILS.REPORTING_YEAR=W_DEF_SUMMARYDETAILS.REPORTING_PERIOD
As of now the query puts all the years into a single column -- one for DEF_SUMMARY and another for SUMMARY.
I am looking to create 7 additional columns for all the individual years in the results instead of just two columns.
Usually it is better to include the columns in the index that are in where clause, select list and join.I am thinking that the columns in the selected list is better to keep as index columns and the columns that are in the where clause is better to keep in key columns.Where do we use join column is it better to create as main key column or included column.
I am trying to pivot my data results so that instead of showing multiple rows for each product a client has it will show one line for each client and concatenate all of their products together.
For example, if I run the following query:
SELECT [Year], [Client_Name], [Product_Name] FROM My.dbo.Table GROUP BY [Year], [Client_Name], [Product_Name]
I'd like to get a extract table result, with a reference id primary key, showing the maximum dates for events and who was responsible for them. I can get the max(date) field in columns using PIVOT, but can't see a way to get the 'who' field without lots of LEFT JOINs.
Here's some test data and code which shows the principle:
CREATE TABLE #t ( ref INT , id INT , who VARCHAR(10) , checkin DATE
[Code] ....
The result set is:
ref 1 who1 2 who2 3 who3 4 who4 123 2014-01-18 carol 2014-01-18 andy 2014-01-16 bill 2014-01-17 carol 456 NULL NULL 2014-01-17 NULL NULL NULL NULL NULL
Is there some way to avoid all the LEFT JOINs, maybe by using another PIVOT, to produce the same result?
