T-SQL (SS2K8) :: Convert Records From Rows To Columns
Nov 13, 2014
I have 5 columns in my database. 1 column is coming like a dynamic.
I want to convert records from rows to columns. Currently I have a data like this.
Race AgeRange Amount
W 17-20 500
W 21-30 400
W 31-40 200
A 17-20 100
H 41-50 250
H 51-60 290
So age range is not fixed and it can be any and I have one separate relational table for age range where it's coming from. Now I want to convert it into columns like
I work with SQLite and need to write a query the old school way to convert rows to columns. If it was MS SQL I would use pivot to get the expected result. However this is SQLite I cannot use pivot.
Sample data:
create table t1 (id int, Dept char (1), Total int); insert t1 select 1, 'A', 100 union select 2, 'B', 120 union select 3, 'C', 140 union select 4, 'D', 150;
How do I use LEFT OUTER JOIN to produce result similar to the below?
SELECT 'Type'[Type] ,CASE WHEN code='09' THEN SUM(Amt/100) ELSE 0 END ,CASE WHEN code='10' THEN SUM(Amt/100) ELSE 0 END ,CASE WHEN code='11' THEN SUM(Amt/100) ELSE 0 END ,CASE WHEN code='12' THEN SUM(Amt/100) ELSE 0 END FROM Table1 WHERE (Code BETWEEN '09' AND '12') GROUP BY Code
and the output
Column 1 Column 2 Column 3 Column 4 Type 14022731.60 0.00 0.00 0.00 Type 0.00 4749072.19 0.00 0.00 Type 0.00 0.00 149214.04 0.00 Type 0.00 0.00 0.00 792210.10
How can I modify the query to come up with output below,
I have 5 columns in my database. 1 column is coming like a dynamic.
I want to convert records from rows to columns. Currently I have a data like this.
Race AgeRange Amount
W 17-20 500 W 21-30 400 W 31-40 200 A 17-20 100 H 41-50 250 H 51-60 290
So age range is not fixed and it can be any and I have one separate relational table for age range where it's coming from. Now I want to convert it into columns like
;WITH ctePreAgg AS ( select top 500 act_reference "ActivityRef", row_number() over (partition by act_reference order by act_reference) as rowno, t3.s_initials "Initials" from mytablestuff order by act_reference
[code]...
But what I would love to do next is take each of the above rows - and return the initials either in one column with all the nulls and duplicate values removed, separated by a comma ..
OR the above but using variable number of columns based on the maximum number of different initials for each row.this is not strictly required, but maybe neater for further work on the view
I have a scenario wherein one of the column values in a row contains a string value which is non-delimited (as shown below). I need to split them by 2 characters and generate as many rows as count of set of 2 digits in that string.
I already have a solution in place to run it thru cursor and then do a while loop on the CountyList column by taking 2 digit value using Substring function (keeping start position dyanamic and jumping 2 positions).
Scenario is like that single dept can have multiple LocationHeads, If Location heads are multiple then they should display in single column using *starting the name as mentioned bottom under required output.
Below is sample of data:
create table #Temp(depID int, Name varchar(50),LocationHead varchar(50)) insert into #temp values(1,'test','head1') insert into #temp values(1,'test','head2') insert into #temp values(1,'test','head3') insert into #temp values(2,'test1','head1') insert into #temp values(2,'test1','head2')
Required output
depID Name LocationHead 1test *head1,*head2,*head3 2test1 *head1,*head2
Assuming I have the following data where the header represents budget cost and the value represent no. of projects
<2K 2K-5K >5K -------------------- 10 15 5
For the above table: the following is my sql:
SELECT
SUM (CASE WHEN PRJ.BDGT_CST_TOTAL<2000000 THEN 1 ELSE 0 END) <2K, SUM (CASE WHEN PRJ.BDGT_CST_TOTAL>=2000000 AND PRJ.BDGT_CST_TOTAL<5000000 THEN 1 ELSE 0 END) 2K-5K, SUM (CASE WHEN PRJ.BDGT_CST_TOTAL>=5000000 THEN 1 ElSE 0 END) >5K
FROM
PRJ_PROJECTS AS PRJ
How do I program it in sql such that the data will be displayed as below? Thanks
Hi All,I need to help with converting rows to columns in SQL2k.Input:Id Name Role58Ron Doe Associate58Mark BonasDoctor59Mike JohnsonDoctor59John SmithAssociate102Chris CarterAssociate102Ron Doe Associate102James JonesAssociateOutput should look like:IdDoctorAssoc1Assoc2Assoc358Mark BonasRon Doe NULLNULL59Mike JohnsonJohn SmithNULLNULL102NULLChris CarterRon Doe James JonesThere could be more than 3 associates in the input but I only need 3above columns for associates.I used following query:SELECT Q.sales_id,doctor2= (SELECT Q2.name FROM view1 Q2 where Q2.role = 'doctor'and Q2.sales_id = Q.sales_id),assoc1= (SELECT Q2.name FROM view1 Q2 where Q2.role ='associate' and Q2.sales_id = Q.sales_id),assoc2= (SELECT Q2.name FROM view1 Q2 where Q2.role ='associate' and Q2.sales_id = Q.sales_id),assoc3= (SELECT Q2.name FROM view1 Q2 where Q2.role ='associate' and Q2.sales_id = Q.sales_id)FROM view1 QGROUP BY sales_idand I get this error "Subquery returned more than 1 value" since thereare multiple associate for Id 102.Thenks
I am fairly new to SQL and writing queries so bear with my faults. I am learning on the job, which is good and bad. Below is a query that I have written to obtain some information. The problem arises when we have a patient who goes from Patient Type '1' to Patient Type '2'. This needs to be considered a singular visit and the only way I can think that this may work is if: for any specific medical record a dsch_ts is equal to the Admit TS on the next row.
How to complete something like this and my google searches have been fruitless. I attached a spreadsheet with an example of what I am getting.
SELECT DISTINCT TPM300_PAT_VISIT.med_rec_no, TSM040_PERSON_HDR.lst_nm AS 'Last Name', TSM040_PERSON_HDR.fst_nm AS 'First Name',
i have a table with dob and test results , i am trying to pull the data from the table and converting rows columns , below is the table i am using . i used to pivot to do this .
create table #TEST_RESULTS (ID INT,NAME VARCHAR(10),DOB DATETIME,DAYS_SINCE_BIRTH_TO_TEST INT,TEST_RESULTS INT ) INSERT INTO #TEST_RESULTS VALUES(1,'A','2015-01-01' , 0 ,1) ,(1,'A','2015-01-01' , 0 ,1) ,(1,'A','2015-01-01' , 1 ,3) ,(1,'A','2015-01-01' , 2 ,6)
I want to have a query like SELECT SettingKey, SettingValue FROM Settings WHERE SettingGroup='Comms' GROUP BY SettingSubGroup
where the result set has a single row for each distinct value of SettingGroup. I want the result set to look like: SettingSubGroup, Speed, Parity, DataBits, StopBits <--column headings ---------------- Com1, 9600, N, 8, 1 Com2, 2400, E, 7, 2
I've had a look at the PIVOT command but it seems to require an aggregate function... is there a way to simply flip from rows to columns?
i want to convert the rows of one table to be the column of another table in run time......i have two tables one having student id and name and in another table there are student id, marks and subject as english. hindi and maths in rows...i want to make another a third table which contains student id , name , marks as english, hindi, maths as the column....tried a lot but didnt get the right way...do we have to do it through Join or is there some other technique by which we can solve the query........i dont know wheather i am really informative or not..but am sitting online if incase you wanna know something else even..........
Name Description Date Question Answer Customer A Profile Assessment 01/01/2015
How complex is the structure?
Customer A Profile Assessment 01/01/2015 The total value of assets? Less than GBP 1 million
Customer A Profile Assessment 01/01/2015 The volume of transactions undertaken? Low (-1 pmth)
[Code] ....
However, I would like it to output;
Name Description Date How complex is the structure? The total value of assets? The volume of transactions undertaken? How was the client introduced? Where does the Customer reside?
[Code] ....
The number of questions are unknown for each RiskReviewID and they can be added to in the future.
I have around 3 tables having around 20 to 30gb of data. My table A related to table B by a FK and same way table B related to table C by FK. I would like to delete all rows satisfying certain condition from table A and all corresponding related records from table B and C. I have created a query to delete the grandchild first, followed by child table and finally parent. I have used inner join in my delete query. As you all know, inner join delete operations, are going to be extremely resource Intensive especially on bigger tables.
What is the best approach to delete all these rows? There are many constraints, triggers on these tables. Also, there might be some FK relations to other tables as well.
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?
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...