I used the Median() function in a calculated measure in a cube. All seemed well until one of my users, a statistician, pointed out that the displayed values were incorrect. I investigated this and finally built the simplest cube with three records and the displayed median does not make sense, i.e. equal what a median value should be.
The 3 records have loan amounts as a measure with these values: $102,500, $168,400, and $172,181 and loan number keys of 1, 2, and 3. That's it.
The median should be $168,400 since the number of items is odd and that is the middle value.
But the cube calculated measure displays $170,290.50. It appears to be taking the average of the middle row and the next value.
When I increase the number of records I get the same odd behavior but it not only alternates (of course) with odd and even (since they use different formulats for odd and even) but the odd wrong results alternate within themselves. The apparent calculations for 5 or 7 records are different compared to 3, 9, 11, 13, 15, 17 records. The first set seems to be calculating odd number of items median by averaging the middle value + the value BEFORE the middle value while the second set of odd rows (3, 9, etc) seem to be calculating median by averaging the middle value + the value AFTER the middel value. The even numbers result in the larger of the two middle values being selected instead of the average (financial median) or the lower number (as one poster claimed for statistical median).
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.
The table has 5 columns. They are S1,S2,S3,S4 and M
I need the best way to calculate the MEDIAN for each row and store it in M. i.e. M=median(S1,S2,S3,S4)
I've come across articles where they've calculated medians on table rows, not table columns. But my requirement involves table columns. I guess transposing the columns into rows and then calculating median should be possible, but if I do that for 10000 rows using a cursor, then it would take a loooooong time.
I'm working on a data analysis involving a table with a large number of records (close to 2 million). I'm using only three of the columns in the table and basically am grouping results based on different criteria. The three columns are PWSID, Installation and AccountType. I have to Provide the PWSID column with a count of the total number of installations per PWSID, also a count of AccountTypes per PWSID. I have the following query, but the numbers aren't adding up and I'm not sure why. I'm falling short in the total count by around 60k records.
I am looking for a way to get the PRODUCT of all columns and group by M_DOMA, [FROM] - Basically multiply all columns on the row that are not M_DOMA or [FROM].
Select ID, FIRST(forename), FIRST(surname) from table1 GROUP BY ID;
I know First doesn't work in TSQL, I used to use it in Access and now need to run something like that in TSQL. Simply getting unique ID with first forename and surname, cause there are some dupes in a table.
There are records like:
ID forename surname -------------------------------- 1 John Kormack 1 James Dope 2 Erin Dupes 3 Will Hugh 3 Walter Heisenberg
WITH summary AS (SELECT tu.SequenceNumber, tu.trialid, tu.SBOINumber, tu.DisplayFlag,
[Code] ....
I am having trouble with the RowNumber Over Partition By portion of the query. I would like the query to return only the first occurrence of each sboinumber in the table for each trial id. It is only giving me the first occurrence of each sboinumber. I tried including the trialid in the partition by clause, but that is not working.
What is the most efficient way to write an SP to tackle all kinds of combinations here (where a user could give any search input).I know this must be fairly common to come across this situation.I have written an SP which will take in all the parameters and based on "IF" statements and using "LIKE" in SQL, this SP returns search results.But I wanted to know if there was more efficient ways of doing this, as you can imagine you might end up having several combinations of IF conditions.
I have a view in my database detailing the expiry date of each credential for each employee. The view is designed as to display one record per employee and in that record is the expiry date of each credential and the days remaining. So the columns are as follows:-
Employee CodeExpiry Date (x8 columns) (named as credential e.g. [Passport]) Days Remaining (x8 columns) (named as "TS_" + Credential)
I'm trying to use the CASE function to compare each DATETIME column with one another and retrieve the minimum. How can I return the minimum date as a run-time column and sort the view by this column? My code is as follows:-
SELECT [Passport],[TS_Passport],[Visa],[TS_Visa],[Civil_ID],[TS_Civil_ID],[KOC_Pass],[TS_KOC_Pass],[JO_Pass],[TS_JO_Pass], [Ratqa_Pass],[TS_Ratqa_Pass],[Driving_License],[TS_Driving_License],[Health_Book],[TS_Health_Book], CASE WHEN Passport <= Visa AND Passport <= Civil_ID AND Passport <= KOC_Pass AND Passport <= JO_Pass AND
[code]....
I've been told that this is the most efficient given the number of records in my database. The Min_Date is always NULL. I need the minimum of the 8 dates to be the Min_Date.
1 2015 ba1 137 HL EL Eco 2 2015 ba1 138 EL SL HS 3 2015 ba1 139 SL EL His
From this table i use to admit a student and select their choice of group simultaneously all the subjects associated with GROUP is save on another table.
Here is the TABLE 2 Structure and sample data:
table 2 (NAME - tblstudetail)
id studentID session course sub1 sub2 sub3
1 15120001 2015 ba1 EL SL HS 2 15120002 2015 ba1 HL EL Eco 3 15120003 2015 ba1 SL EL His 4 15120004 2015 ba1 HL EL Eco
AND so no..........................
Now i just want to COUNT the Number of Groups Filled in tblStudateil.
I have a Problem with my SQL Statement.I try to insert different Columns from different Tables into one new Table. Unfortunately my Statement doesn't do this.
If object_ID(N'Bezeichnungen') is not NULL Drop table Bezeichnungen; GO create table Bezeichnungen ( Artikelnummer nvarchar(18), Artikelbezeichnung nvarchar(80), Artikelgruppe nvarchar(13),
In a table I have some rows with flag A & B for a scode, some scode with only A and some are only B flags.
I would like to fetch all rows with flag A when both flags are present, no rows with B should be fetched. Fetch all rows when only single flags are present for a scode.How to achieve this using TSQL code.
SELECT ID1, ID2, type, (case when type = '1' then sum(value) else '0' end) as Value1, (case when type = '3' then sum(value) else '0' end) as Value2, (case when type <> '1' and type <> '3' then sum(value) else '0' end) as Value3 FROM table1 WHERE ID1 = 'x' and ID2= 'y' GROUP BY ID1, ID2, Type
select CurrencyCode,TransactionCode,TransactionAmount,COUNT(TransactionCode) as [No. Of Trans] from TransactionDetails where CAST(CurrentTime as date)=CAST(GETDATE()as date) group by TransactionCode, CurrencyCode,TransactionAmount order by CurrencyCode
select CurrencyCode,TransactionCode,TransactionAmount,COUNT(TransactionCode) as [No. Of Trans] from TransactionDetails where CAST(CurrentTime as date)=CAST(GETDATE()as date) group by TransactionCode order by CurrencyCode
But of course this codes gives an error, but how can I get my desired result??
I want to calculate the Total_Cost and get the result of the formula from SELECT Query. Following is the formula of Total_Cost. I have declared variables for formula. How I can create SELECT/RUN query successfully for mathematical calculation to calculate the Total_Cost.
--Formula of Total_Cost = [min (price, Pay1) x Interest1 + max (min (price - Pay1, Pay2), 0) x Interest2 + Max ((price - Pay2), 0) x Interest3, LMT]
declare @price numeric(18,7)=255550 declare @Pay1 numeric(18,7)=645500 declare @Pay2 numeric(18,7)=235000 declare @Interest1 numeric(18,7)=0.05500 declare @Interest2 numeric(18,7)=0.03533 declare @Interest3 numeric(18,7)=1.00000 declare @LMT numeric(18,7)=10000.00 Select [min (@price, @Pay1) x @Interest1 + max (min (@price - @Pay1, @Pay2), 0) x @Interest2 + Max ((@price - @Pay2), 0) x @Interest3, LMT] as Total_Cost
This is my syntax, and if I print the value that is stored in each variable @goodtries = 120 @badtries = 25 but when I run the syntax below it gives me 0.00
Declare @goodtries as int, @badtries as int select @goodtries = convert(decimal(18,4),count(userID)) from table1 WHERE logintype IN ('Valid', 'Success') select @badtries = convert(decimal(18,4),count(userID))
I need to run a select on Mondays to pull data for 7 days prior to the Thursday of last week; i.e. Friday - Thursday inclusive. I'm sure this is simple, but I work with dates so infrequently that I need a refressher.
This is on SQL Server 2008. Please find a detailed description and the file of the data, that I am working on.
Requirements:
1. If 'Channel' is not equal to "Omnibus" where the 'Trans Description'is equal to "Purchase" and "Redemption" for one purchase and one redemption that match on 'System' , 'Account TA Number' , 'Product Name' , 'Settled Date' , and where the 'Trade Amount' of the purchase and redemption is within 5%, then display those set of records.
2. If deemed wash trades, allow user to update the purchase and redemption pair 'Trans Description' from "Purchase" to "Exchange In" and 'Trans Description' from "Redemption" with "Exchange out"
System Channel Dealer Name Firm Name Product Cusip Product Name Product Share Class Trade ID Settled Date Account TA Number Trans Description Trade Amount
SCHWABPORTAL US - ASG MILLIMAN MILLIMAN 64128K777 Strategic Income Fund A 29806259 30-Jan-15 000BY00F2RW Redemption $ 25,68,458.15
I am trying to compare Sales value of year 2015 with sales value of 2016 and the difference stored in alias column as Sales_growth for year 2016 , for year 2015 the alias column be as '1' similarly difference between margin of 2015 and 2016 and result stored in alias column as margin_rate in year 2016for 2015 as 1 but when there is no record for year 2015 and record present in 2016 for a given (month, SM,SG,CUST,SP) then the alias column sales_growth and margin_rate should be 100
last record : as there is no record for year 2015 and record present in 2016 for a given (month, SM,SG,CUST,SP) then the alias column sales_growth and margin_rate should be 100
In t-sql 2012, I have the following sql that I would like the following to occur:
1. commit or rollback a transaction based upon the results of a calculation listed below, 2. I would like to have a message appear if the commit was successful or the rollback needed to occur. I basically want a way to be able to tell from messages if a rollback occurred or a commit happened.
DECLARE @TransactionName varchar(20) = 'Transaction1'; @STARTLOCKERCNT INT = 0, @LOCKDIFCNT INT = 0, @ENDLOCKERCNT INT = 0 DECLARE @lockmap TABLE (lockID int NOT NULL PRIMARY KEY, schoolID int NOT NULL, UNIQUE(schoolID,lockID) )
[Code] ....
Thus can you modify the sql I just listed above so that I meet the goals that I just listed above?
I am stuck in a situation where I want to use YTD for three different calendars of our company and don't want to create three different YTD calculations. However I want to make this work for any measure not for a particular measure
If I create one YTD and try to use in context of three calendars in SCOPE statements then it does not give my right results. Following is my syntax but It does not work.
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 created calcalated measures in a SQL Server 2012 SSAS multi dimensional model by creating empty measures in the cube and use scope statements to fill the calculation.
(so I can use measure security on calculations
as explained here )
SCOPE [Measures].[C];
THIS = IIF([B]=0,0,[Measures].[A]/[Measures].[B]);
