(I moved this thread from datagrid area) I have a sql database that has individual records consisting of name, date, hours worked among other fields.Date and name is part of a unique identifier, so there can NOT be two records for the same person for the same date. My users need a grid view that displays days worked in ONE LINE per user. I have gotten close, but can't quite get the last part. Ive tried group by, distinct, and with rollup and no luck.TABLE:dan 12/13/2012 12:00:00 AM9.123dan 12/14/2012 12:00:00 AM3.123123cara 12/12/2012 12:00:00 AM4.222cara 12/16/2012 12:00:00 AM3.3333cara 12/17/2012 12:00:00 AM2 CODE: Select distinct(name), (select (y.hours) from dbo.testtime y where y.name=YT.name AND y.hours = YT.hours and datename(dw, date)='Sunday')as Sunday, (select (y.hours) from dbo.testtime y where y.name=YT.name AND y.hours = YT.hours and datename(dw, date)='Monday')as Monday, (select (y.hours) from dbo.testtime y where y.name=YT.name AND y.hours = YT.hours and datename(dw, date)='Tuesday')as Tuesday, (select (y.hours) from dbo.testtime y where y.name=YT.name AND y.hours = YT.hours and datename(dw, date)='Wednesday')as Wednesday, (select (y.hours) from dbo.testtime y where y.name=YT.name AND y.hours = YT.hours and datename(dw, date)='Thursday')as Thursday, (select (y.hours) from dbo.testtime y where y.name=YT.name AND y.hours = YT.hours and datename(dw, date)='Friday')as Friday, (select (y.hours) from dbo.testtime y where y.name=YT.name AND y.hours = YT.hours and datename(dw, date)='Saturday')as Saturday,(select sum(hours)from dbo.testtime y where y.name=YT.name AND y.hours = YT.hours) as Totalfrom dbo.testtime YTgroup by date, name, hours RESULTS: cara NULL NULL NULL 4.222 NULL NULL NULL 4.222cara NULL 2 NULL NULL NULL NULL NULL 2cara 3.3333 NULL NULL NULL NULL NULL NULL 3.3333dan NULL NULL NULL NULL NULL 3.123123 NULL 3.123123dan NULL NULL NULL NULL 9.123 NULL NULL 9.123 Like I said, I am SO close, I just need it to look like;NAME SUN MIN TU WED TH FR SA TOTAL cara 3.333 2 4.222 9.555 dan 9.125 3.125 12.5 TIAdan
In my reports I am extracting the data of number of people joined in all the weeks of the year. And in one of reports I have to extract the data of the number of people joined until the last week from the first week. I am trying out all the logics but nothing is working for me as such. Can any one help me with this issue??????
I have a query as below - Select TeamName , SUM(CASE WHEN Team_Date = '01/07/2007' THEN Team_Total ELSE 0 END) AS [Jul 07] , SUM(CASE WHEN Team_Date = '01/08/2007' THEN Team_Total ELSE 0 END) AS [Aug 07] , SUM(CASE WHEN Team_Date = '01/09/2007' THEN Team_Total ELSE 0 END) AS [Sep 07] , SUM(CASE WHEN Team_Date = '01/10/2007' THEN Team_Total ELSE 0 END) AS [Oct 07] , SUM(CASE WHEN Team_Date = '01/11/2007' THEN Team_Total ELSE 0 END) AS [Nov 07] , SUM(CASE WHEN Team_Date = '01/12/2007' THEN Team_Total ELSE 0 END) AS [Dec 07] , SUM(CASE WHEN Team_Date = '01/01/2008' THEN Team_Total ELSE 0 END) AS [Jan 08] , SUM(CASE WHEN Team_Date = '01/02/2008' THEN Team_Total ELSE 0 END) AS [Feb 08] , SUM(CASE WHEN Team_Date = '01/03/2008' THEN Team_Total ELSE 0 END) AS [Mar 08] , SUM(CASE WHEN Team_Date = '01/04/2008' THEN Team_Total ELSE 0 END) AS [Apr 08] , SUM(CASE WHEN Team_Date = '01/05/2008' THEN Team_Total ELSE 0 END) AS [May 08] , SUM(CASE WHEN Team_Date = '01/06/2008' THEN Team_Total ELSE 0 END) AS [Jun 08] FROM dbo.uView_DimHC_Team_Details_View1 where TeamParentID < '3' GROUP BY TeamName ORDER BYTeamName
This basically creates a table where I have team names as rows, month names as columns and team strength as each value. Now I want to add one row at the bottom which gives a summary which basically calculates all the values in that column. I am displaying this on web where I can do this using gridview but the problem is I am using the same gridview for 2-3 different queries which have different columns so the rowdatabound method can not be used. How can I get aggregate row at the end of table from this table?
I am doing some work in microstrategy reports and using SQL data cube. I am creating a summary report (Counting on Unique ID) in MS where when I put in a particular attribute/column from cube it splits the data count down into 2 separate values that I have defined in the select case statement of the SQL query.
I want to work out a ratio of the count unique ID between these two values but can't do this in MS report as it is not a physical column but summary split of data.Is there a way I can do this in SQL? My summary looks something like this:
N E ====================== ========================= **Y** N **Y** N ========= ========== ========= ========= 570 140 89 56
Where the Y/N field is the one I have split down against the N/E column. I want to work out ratio between the 2 "Y" fields but in SQL. Here is a SQL example snapshot of my data:
Unique_ID New/Existing Application Attend_Interview ========= ======================== ================ 12554445 E Y 65766879 N N 53375654 N Y 44323224 E N 93656786 E Y
wondering if I might be able to do a procedure or similar or something more dynamic in SQL query?
I know similar questions have been asked but I wanted to try my luck that my issue is somehow different.
I am querying a database which has detail information (sales transactions) and is grouped by customer. I also have a table with one record for each customer with some historical sales information (summary information). The requirements for the report are to have the sums of the sales for each customer along with the historical data for that customer in the same row in the table. I haven't found a way to do this using one dataset and from what I've read, the current version doesn't support joining multiple datasets over a grouping field (customer).. or at all.
Columns are obviously fixed, but not rows. I want to show this data using lables and SqlDataReader for report purpose like; Label1.text=dr("value16").toString( ) Label2.text=dr("value28").toString( ) Label3.text=dr("value31").toString( ) etc
Do you have any idea how i can do it or am I approaching it in the wrong way????
I've been struggling with this for about 2 weeks now and can't seem to get any further.I have two tables: orders and orders_extended. They can be joined by the common orderid field (example SELECT * FROM orders JOIN orders_extended ON orders.order = orders_extended.orderid WHERE 1=1)I need to create a report that sums the following fields:
SELECT
CONVERT(VARCHAR(12), orderdate, 101) As orderdate , COALESCE ( CASE WHEN orders_extended.productprice < 0 THEN 'DISCOUNT' ELSE orders_extended.productnumber END , CASE WHEN orders_extended.productnumber LIKE '%AB%' THEN 'PRODUCTGROUPAB' ELSE orders_extended.productnumber END , CASE WHEN orders_extended.productnumber LIKE '%CD%' THEN 'PRODUCTGROUPCD' ELSE NULL END
[code]...
What I'm trying to accomplish is to get the total dolloar amount of sales for each day for each payment type on one line per productgroup.
I have a table census data containing the number of people having ages ranging from 0 to 120 years. Year 0 is in a column called F_0 and year 120 is in a column called F_120 with everything in between.
For example, when I create a script for the table the column for year 0 appears as: [F_0] [numeric](38, 8) NULL
I've already created 2 summary columns (people 0 to 18 years old and people 19 to 59 years old).
I follow the same methodology to create a summary table for people from 60 to 100 years old, but all the calculated values are NULL.
So the following is successful: [Under_19] AS (((((((((((((((((([F_0]+[F_1])+[F_2])+[F_3])+[F_4])+[F_5])+[F_6])+[F_7])+[F_8])+[F_9])+[F_10])+[F_11])+[F_12])+[F_13])+[F_14])+[F_15])+[F_16])+[F_17])+[F_18]) PERSISTED,
But this is not: [Over_60] AS (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((([F_60]+[F_61])+[F_62])+[F_63])+[F_64])+[F_65])+[F_66])+[F_67])+[F_68])+[F_69])+[F_70])+[F_71])+[F_72])+[F_73])+[F_74])+[F_75])+[F_76])+[F_77])+[F_78])+[F_79])+[F_80])+[F_81])+[F_82])+[F_83])+[F_84])+[F_85])+[F_86])+[F_87])+[F_88])+[F_89])+[F_90])+[F_91])+[F_92])+[F_93])+[F_94])+[F_95])+[F_96])+[F_97])+[F_98])+[F_99])+[F_100])+[F_101])+[F_102])+[F_103])+[F_104])+[F_105])+[F_106])+[F_107])+[F_108])+[F_109])+[F_110])+[F_111])+[F_112])+[F_113])+[F_114])+[F_115])+[F_116])+[F_117])+[F_118])+[F_119])+[F_120]) PERSISTED,
I have a source table with App_Id, App_Type , Tier_Type, Date_Id as columns. I have a destination table with Date_Id, Total_App_Count, Booked_App_Type_Count, Approved_App_Type_Count columns.
I need to count the Total number of records , count of records with App_Type = "Booked" and count of records with App_Type = "Approved" and populate in my destination table.
What all the steps i need to create in SSIS to get this results ?
We are trying to compare our current calendar week (based on Monday being the first day of the week) with the previous calendar week.
I'm trying to produce a line chart with 2 axis:
- x axis; the day of the week (Mon, Tues, Wed etc - it is fine for this to be a # rather than text e.g. 1 = Mon, 2 = Tues etc) - y axis; the cumulative number of orders
The chart needs two series:
Previous Week. The running count of orders placed that week. Current Week. The running count of orders placed this week.
Obviously in such a chart the 'Current Week' series is going not going to have values along the whole axis until the end of the week. This is expected and the aim of the chart is to see the current week compares against the previous week for the same day.
I have two tables:
Orders TableCalendar Table
The calendar table's main date column is [calDate] and there are columns for the usual [calWeekNum], [calMonth] etc.
My measure for counting orders is simply; # Orders: = countrows[orders].
How do I take this measure and then work out my two series. I have tried numerous things such as adapting TOTALMTD(), following articles such as these:
- [URL] ... - [URL] ...
But I have had no luck. The standard cumulative formulas do work e.g. if I wanted a MTD or YTD table I would be ok, it's just adjusting to a WTD that is causing me big issues.
I'd like to add a yesterday dimension member to a new dimension, like a "Time Utility" dimension, that references the second last day of non empty data in a cube.
At the moment, I'm doing this:
Code Snippet
create member [MIA DW].[DATE TIME].[Date].[Yesterday] as [DATE TIME].[Date].&[2007-01-01T00:00:00]
select [Measures].members on 0, non empty [DATE TIME].[Date].members on 1 from [MIA DW] But the [yesterday] member does not seem to belong to [DATE TIME].[Date].members?
So I guess there's two questions:
1) Can I have a new empty dimension which contains all these special members like "Yesterday" or "This Week" and "Last Week" (these last two obviously refer to a set of Dates)
2)How come the Yesterday member is not returned by the .members function?
while(select MAX(wrh) from @tem1 where wrh = 0) < 1 begin update @tem1 set wrh = (select toaccount from @tem1 where reportdate = (select min(reportdate) from @tem1 where wrh = 0))+(select max(wrh) from @tem1) where wrh = (select max(wrh) from @tem1 where wrh = 0 ) and reportdate = (select min(reportdate) from @tem1 where wrh = 0) end
this is the result while executing loop statement .
employeeidreportdatereportatleftatdehdrhwehwrh 129029 Jan 201409:3019:15008:0009:20024:00065:54 129028 Jan 201409:0018:45008:0009:18016:00056:34 129027 Jan 201409:0018:45008:0009:18008:0009:18 129025 Jan 201408:0010:00005:0002:00045:00047:16 -- week end 129024 Jan 201409:1718:45008:0009:01040:00045:16 129023 Jan 201409:1918:46008:0009:06032:00036:15 129022 Jan 201409:1718:47008:0009:05024:00027:09 129021 Jan 201409:1618:35008:0008:46016:00018:04 129020 Jan 201409:1818:55008:0009:03008:0009:03
How to update only that week hrs , don't continue next week...
I need a Select sentence that return me the first week of the month for a given week.
For example If I have week number 12 (Begins 2015/03/16 and Ends 2015/03/22) I need that returns 9, I mean Week number 9 wich is the first week of march (having in mind @@DATEFIRST).
I only need give a week number of the year and then returns the week number of the first week of that month.
Dear All, i've one table, and table will be updating continuously. i need the data at every week. select * from my_table where my_datetime_column>=( from one week).
Does anyone have a successful prescribed sequence for installing VS2005 and Business Intelligence Reports Projects on a Vista Business workstation to be used to create reports for a server?
I've looked through everything I can find here and I don't seem to see a clear solution without a lot of trial and error.
Fact is, I've not been successful getting just the reports to install on a plain XP box. Of course, the report creation looks fine on the server but I don't want to work directly on the server.
Can anyone take me through synchronization of contacts within Business Contacts Outlook into Microsoft Small Business Accounts?
I run a stand alone PC with NO network. When SBA came SQL was also installed. Apparently you can synchronise Contacts within Business Contacts with SBA but both SBA & Outlook should work through the same SQL server.
I am doing reports and I am generating reports for weeks data. And I need data in the format of 1-2 week, 3-4 week and etc. So, I have tried to use aggregate functions also but they are not applicble for table and lists where all my report items are present. So. some one who can come up with the solution will be appreciated.
In my reports I have data of all the weeks from 1 to 52. Now i want a report where there is data of only the current week in which we are there. So, I am trying out all the possibilities but nothing is working. Can any one help me with the logic of current week????/
I have a date table(A) for every day of the year from 1990-2016 including the week number.There is another table(B) that has a number, date and week number.
I would like to join these 2 tables together, in order to populate the number from table B on every day of the week (of the week number in table B).
What makes it a little more complex is that the dates in table B not always correspond with the week number in the same row. Adding to the problem are some conditions:
- Every day of the week should have a number, and it should never be 0.
- If the 1st date of all rows in table B with the corresponding week number is not the monday of the week (but for example wednesday) it should start with this number on monday.
- Thousands of rows are in table B and for some of them the date corresponds with the week and for some of them they don't
- The rows can be grouped together using the week number.
Take the following example of table B:
B: ID Date Number WeekNo 1 21-5-2015 25 21 2 23-5-2015 30 21
In this example the dates correspond with the weeknumber, because the 21st and the 23rd of may are week 21. By joining this with the date table (A), by using for example cross apply, I would hope to get the following result;
The same should work if the same example had the week number 22 in every row.
Take the following example of table B:
B: ID Date Number WeekNo 1 21-5-2015 25 22 2 23-5-2015 30 22
In this example the dates do not correspond with the weeknumber, because the 21st and the 23rd of may are week 21 and not 22. By joining this with the date table (A), I would hope to get the following result;
I have 1st week and 2 nd week data in my database and for a particular report I need to add up the corresponding values of both the weeks and display them in one column as 1-2 format. I have tried out various options on reporting side but I was not able to do anything. Now can anyone tell me if I can write a query for that?? If so what is the format of the query and where do I need to write it???????
I have a query that run every day to update a summary table which has week number and day of week. what I currently do is delete all records from the summary table and then summarize all the data availabe from four tables adn then populate the table daily. I want to know if I can run the update query to run only for the week number and day of week depending on getdate. Can I do this?
Function F_ISO_YEAR_WEEK_DAY_OF_WEEK returns the ISO 8601 Year Week Day of Week in format YYYY-W01-D for the date passed. W01 represents the week of the year from W01 through W53, and D represents the day of the week with 1 = Monday through 7 = Sunday.
The first week of each year starts on the first Monday on or before January 4 of that year, so that the year begins from December 28 of the prior year through January 4 of the current year.
This code creates the function and demos it for the first day, first date+60, and first date+364 for each ISO week/year from 1990 to 2030.
drop function dbo.F_ISO_YEAR_WEEK_DAY_OF_WEEK GO create function dbo.F_ISO_YEAR_WEEK_DAY_OF_WEEK ( @Datedatetime ) returnsvarchar(10) as /* Function F_ISO_YEAR_WEEK_DAY_OF_WEEK returns the ISO 8601 Year Week Day of Week in format YYYY-W01-D for the date passed. */ begin
declare @YearWeekDayOfWeekvarchar(10)
Select --Format to form YYYY-W01-D @YearWeekDayOfWeek = convert(varchar(4),year(dateadd(dd,7,a.YearStart)))+'-W'+ right('00'+convert(varchar(2),(datediff(dd,a.YearStart,@Date)/7)+1),2) + '-'+convert(varchar(1),(datediff(dd,a.YearStart,@Date)%7)+1) from ( select YearStart = -- Case finds start of year case whenNextYrStart <= @date thenNextYrStart whenCurrYrStart <= @date thenCurrYrStart elsePriorYrStart end from ( select -- First day of first week of prior year PriorYrStart = dateadd(dd,(datediff(dd,-53690,dateadd(yy,-1,aaa.Jan4))/7)*7,-53690), -- First day of first week of current year CurrYrStart = dateadd(dd,(datediff(dd,-53690,aaa.Jan4)/7)*7,-53690), -- First day of first week of next year NextYrStart = dateadd(dd,(datediff(dd,-53690,dateadd(yy,1,aaa.Jan4))/7)*7,-53690) from ( select --Find Jan 4 for the year of the input date Jan4= dateadd(dd,3,dateadd(yy,datediff(yy,0,@date),0)) ) aaa ) aa ) a
return @YearWeekDayOfWeek
end go
-- Execute function on first day, first day+60, -- and first day+364 for years from 1990 to 2030.
select DT= convert(varchar(10),DT,121), YR_START_DT = dbo.F_ISO_YEAR_WEEK_DAY_OF_WEEK(a.DT), YR_START_DT_60 = dbo.F_ISO_YEAR_WEEK_DAY_OF_WEEK(a.DT+60), YR_START_DT_365 = dbo.F_ISO_YEAR_WEEK_DAY_OF_WEEK(a.DT+364) from ( select DT = getdate()union all select DT = convert(datetime,'1990/01/01') union all select DT = convert(datetime,'1990/12/31') union all select DT = convert(datetime,'1991/12/30') union all select DT = convert(datetime,'1993/01/04') union all select DT = convert(datetime,'1994/01/03') union all select DT = convert(datetime,'1995/01/02') union all select DT = convert(datetime,'1996/01/01') union all select DT = convert(datetime,'1996/12/30') union all select DT = convert(datetime,'1997/12/29') union all select DT = convert(datetime,'1999/01/04') union all select DT = convert(datetime,'2000/01/03') union all select DT = convert(datetime,'2001/01/01') union all select DT = convert(datetime,'2001/12/31') union all select DT = convert(datetime,'2002/12/30') union all select DT = convert(datetime,'2003/12/29') union all select DT = convert(datetime,'2005/01/03') union all select DT = convert(datetime,'2006/01/02') union all select DT = convert(datetime,'2007/01/01') union all select DT = convert(datetime,'2007/12/31') union all select DT = convert(datetime,'2008/12/29') union all select DT = convert(datetime,'2010/01/04') union all select DT = convert(datetime,'2011/01/03') union all select DT = convert(datetime,'2012/01/02') union all select DT = convert(datetime,'2012/12/31') union all select DT = convert(datetime,'2013/12/30') union all select DT = convert(datetime,'2014/12/29') union all select DT = convert(datetime,'2016/01/04') union all select DT = convert(datetime,'2017/01/02') union all select DT = convert(datetime,'2018/01/01') union all select DT = convert(datetime,'2018/12/31') union all select DT = convert(datetime,'2019/12/30') union all select DT = convert(datetime,'2021/01/04') union all select DT = convert(datetime,'2022/01/03') union all select DT = convert(datetime,'2023/01/02') union all select DT = convert(datetime,'2024/01/01') union all select DT = convert(datetime,'2024/12/30') union all select DT = convert(datetime,'2025/12/29') union all select DT = convert(datetime,'2027/01/04') union all select DT = convert(datetime,'2028/01/03') union all select DT = convert(datetime,'2029/01/01') union all select DT = convert(datetime,'2029/12/31') union all select DT = convert(datetime,'2030/12/30') ) a
Hi, I have this stored procedure that gives me the result by week for the last 5 week.SELECT DateDiff(week,Datesold,GetDate()),SUM(Nb)FROM TSalesWHERE DateDiff(week,Datesold,GetDate())>=0 AND DateDiff(week,Datesold,GetDate())<=5 and project=136GROUP BY DateDiff(week,Datesold,GetDate())The only problem is if there is no data for one week, I am going to have only 4 result.I would like to 5 results all the time even if the SUM(nb)=0.I tried coalesce but with no success.Thank you
Our reporting group would like to generate reports based on day of the week. Is there a function or other means of determining the day based on data in a datetime field? Thanks for any assistance in advance.
There have been a lot of promising words around about data mining for (at least) the last decade. If one investigates how much data mining is applied in business, it can be concluded that this is rather limited. Currently I am investigating the possible causes of this limited data mining usage for my Master Thesis of Industrial Engineering and Management. This investigation includes a literature study and input a couple of experts from the data mining field.
Currently I want to check my results for two aspect with aid of other data mining practitioners:
Is my analysis of possible causes complete (iow: what is missing?)
Are the identified causes recognized confirmed or rejected by data mining practitioners? In order to proceed with my verification, I am looking for data mining practitioners, who are willing to give feedback on my work. I will send the participants a document with my findings to enable them to give their comments and other kind of feedback. (Or is it a better idea to start the discussion right here in this forum, let me know!) I think that my findings might be useful for every practitioner in the field and encourage you to participate.
Are there any people in this forum, who are willing to participate? In return you will receive my final results, which may be valuable for you as well.
