The following is a SAMPLE data from an excel spreadsheet. This SAMPLE data has many other fields as date. Here I have only used two date columns i.e. 28 Dec 2006 and 29 Dec 2006 This data needs to be exported into sql server 2005 table which has the fields below where I have placed the data into a table. How can this be done please?
data:
Ref Sector Name 28 Dec 2006 29 Dec 2006 1 Sovereign RUSSIA 05 null 173.21 2 Sovereign RUSSIA 07 102.99 102.22 3 Sovereign RUSSIA 10 114.33 104.63 4 Sovereign RUSSIA 18 115.50 145.50 ...
sql server table
create table tblData ( DataID int, Ref int, Sector varchar(20), Name varchar(20), Date datetime, value decimal(6,2) )
DataID Ref Sector Name Date value 1 1 Sovereign RUSSIA 05 28 Dec 2006 null 2 1 Sovereign RUSSIA 05 29 Dec 2006 173.21 3 2 Sovereign RUSSIA 07 28 Dec 2006 102.99 4 2 Sovereign RUSSIA 07 29 Dec 2006 102.22 5 3 Sovereign RUSSIA 10 28 Dec 2006 114.33 6 3 Sovereign RUSSIA 10 29 Dec 2006 104.63 7 4 Sovereign RUSSIA 18 28 Dec 2006 115.50 8 4 Sovereign RUSSIA 18 29 Dec 2006 145.50 ...
I was reading Kenneth Fisher's and Dwain Camps' articles on unpivoting using cross apply... And I can actually get them to work....
CREATE TABLE #TxCycle( Cycle INT NOT NULL, PatientID INT NOT NULL, ALOPECIA TINYINT, Causality1 TINYINT, Relatedness1 TINYINT,
[Code] ....
The one thing I was wondering was this: how do I extract the symptom names from the field list without knowing them all beforehand? Dwain does this
-- DDL and sample data for UNPIVOT Example 2 CREATE TABLE #Suppliers (ID INT, Product VARCHAR(500) ,Supplier1 VARCHAR(500), Supplier2 VARCHAR(500), Supplier3 VARCHAR(500) ,City1 VARCHAR(500), City2 VARCHAR(500), City3 VARCHAR(500))
Can this be adapted if you don't know all the column names beforehand? (Likely not). Back in the dark ages, when I was working on a database like this, it was in Access, and I could loop over the fields collection and evaluate each field name. (Yes, I know you're not supposed to store information in field names, but I inherited that mess!)
I have an Issue. Please find the sample of my data source
StudentID Fee 1 Fee 1 Currency Type Fee2 Fee 2 Currency Type
1 10 USD 20 INR
2 45 EUR 20 USD
If I need to transform this data, it should be like below Table.
ID StudentId FeeType FeeAmount CurrencyType
1 1 Fee 1 10 USD
2 1 Fee 2 20 INR
3 2 Fee 1 45 EUR
4 2 Fee 2 20 USD
I have selected columns Fee 1 and Fee 2 in Unpivot Transformation. I set the "FeeAmount" as Destination Column Name and "FeeType" as Pivot Key Value Column Name. I left the Pivot Key Value as is for all the selected columns. So far no issue that I am able to get the Fee Type and Fee Amount columns for my destination table.
But the issue is how to get the Currency Type for each corresponding coulmns? I was not able to get the currency type for each student. I hope you got my point. Please let me know If have further queries and hel me out to find this.
I have a set of data in which i have a product number going through 6 stages and each stage has a date. Since the each stages are in columns, I have created a unpivot query to transpose the columns into rows.
The unpivot query is working fine however I am getting duplicate values in the result. For each productnumber there must be only 6 results however i am getting 24 rows for each product number due to duplication.
I have attached the code and the source data for reference
I have a table which uses multiple joins to create another table but it turns out that the effective_date which is used in the join to match row together does not work all the time since some of the dates for the effective date column are out of sync meaning records that show data as missing even when the other table contains the data. I try the SQL script below but it returning 6 rows instead of 3–
I am looking for a way to create a stored procedure that will show inventory availability. I would like to show the Inventory Name, The Date, and if the inventory is "checked out" using the ID name of the person who has the item.
For example it would look like this:
-------------------------------------------------------------------------------------------------- Inventory Name | 10/24/2015 | 10/25/2015 | 10/26/2015 | 10/27/2015 | 10/28/2015 -------------------------------------------------------------------------------------------------- Laptop | Tom | Tom | Tom | Avail | Avail Projector | Avail | Avail | Avail | Avail | Bob Air Card | Bob | Bob | Bob | Bob | Bob
It seems like I want to do a pivot table but there really is no aggregate so I am not sure what to use.
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'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?
I would like to have rows presented as columns. That's why I use the PIVOT function at the end.The resultset will be presented in Excel using an external connection to the view.
When I try to save the view I get the error
Msg 4104, Level 16, State 1, Procedure _TEST, Line 47
The multi-part identifier "vk.OppCode" could not be bound.
Code (restricting the columns that I actually have to the relevant columns only):
USE [DBTest] GO /****** Object: View [dbo].[_TEST] Script Date: 23-10-2014 17:24:10 ******/ SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON
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?
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 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.
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 have the following query that will serve as a basis for SSRS report
SELECT TOP (1000) d.Project_Name, d.Status, d.Country, d.Region, p.Period, p.Quarter, p.Year, d.Brand, d.Store_Opens_Actual, d.DA, d.DPN, d.StoreNumber, CONVERT(VARCHAR(10), CASE WHEN ISDATE(d .Store_Opens_Actual) = 1 THEN d .Store_Opens_Actual WHEN ISDATE(d .Store_Opens_Forecast) = 1 AND ISDATE(d .Store_Opens_Actual) = 0 THEN d .Store_Opens_Forecast WHEN ISDATE(d
[Code] ....
This returns a dataset, that I need to convert into a PIVOT table that should look like the attached spreadsheet.
Having trouble writing the PIVOT table query. I feel like I am missing something conceptually as I am not doing any summing or aggregation. I don't know if dynamics SQL is the solution here or which route to take. I don't know if there is such things as PIVOTING without aggregation. CROSS TAB came to my mind as well.
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,'')
SELECT PKGCUSTOM4, [1] AS [SKU1], [2] AS [SKU2], [3] AS [SKU3], [4] AS [SKU4], [5] AS [SKU5], [6] AS [SKU6], [7] AS [SKU7], [8] AS [SKU8], [9] AS [SKU9], [10] AS [SKU10], [11] AS [SKU11], [12] AS [SKU12], [13] AS [SKU13], [14] AS [SKU14], [15] AS [SKU15], [16] AS [SKU16], [17] AS [SKU17], [18] AS [SKU18], [19] AS [SKU19],
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
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);
1) Production data with column headers: Key, Facility, Line, Time, Output 2) Costs data with column headers: Key, Site, Cost Center, Time, Cost
The tables have a common key named obviously as Key. The data looks like this:
Key Facility Line Time Output Alpha
I would like to have two pivot tables which I can filter with ONE slicer based on the column Key. The first pivot table shows row labels Facility, Line and column labels Time. Value field is Output. The second pivot table shows row labels Site, Cost Center, and column lables Time. Value field is Cost.How can I do this with Power Pivot? I tried by linking both tables above to a table with unique Keys in PowerPivot and then creating a PivotTable where I would have used the Key from the Keys table.
parent | NAme | Checked | contactmethod|Check2 | Other 974198 | Employment | true | Face to Face | true | null 974224 | Other | true | Face to Face | true | skills 974224 | Other | true | Contact | true | skills
I'd like to pivot on "parent"
In a perfect world I'd like to see output like
974198 | Employment | true | Face to Face | true | null
974224 | Other | true | Face to Face, Collateral Contact | true | skills
If there are more than one name or contactmethod for the same parent then they would be strung along with commas
