i have a matrix, and in that matrix i need to have one column which calculates the percentage change between a value on the current row and the same value on the previous row.
Is this possible? The RunningValue() function isn't of help as it can't help me calculate the change between two rows, and Previous() doesn't work in a matrix (why???!!!!!). Also calculating this as part of the query isn't possible as there is a single row group on the matrix, and the query is MDX.*
Thanks,
sluggy
*for those who are curious, the matrix is showing data an a per week basis, the row group is snapshot date, i am trying to measure the change in sales at each snapshot.
Basically I want to calculate the time spent by S_Users on a particular S_ACTV_CODE:
- S_ACTV_CODE_PREV means the previous active records.
- S_START_TIME is the time of S_DATETIME when a S_ACTV_CODE starts
- S_END_TIME is the time before a S_ACTV_CODE changes to another S_ACTV_CODE
- For the first record, S_ACTV_CODE is null, so there is no S_ACTV_CODE_PREV, so S_ACTV_CODE_PREV is NULL
- For the second record S_ACTV_CODE has some value, but S_ACTV_CODE_PREV is NULL for first record. So second record S_ACTV_CODE_PREV is also NULL
- For the last record (means S_ACTV_IND = 1), the user is currently working on it and S_ACTV_CODE is not changed. So S_END_TIME is a open time and we want to keep it as NULL
I am having trouble creating a sp for the following situation:
The database contains a record of the mileage of trucks in the fleet. At the end of every month, a snapshot is collected of the odometer. The data looks like this:
Hi, i'm trying to calculate the number of days between two dates, but within an UPDATE statement, so far I can't wrap my head around how I can update a field with the number of days.
I was thinking something like
Code:
Update #ClaimMaster Set covered_days = (then insert select statement that subtracts the two dates)
 CreatedDate              ID            Message  2015-05-29 7:00:00     AOOze           abc  2015-05-29 7:05:00     AOOze           start
 2015-05-29 7:10:00     AOOze           pqy  2015-05-29 7:15:00     AOOze           lab  2015-05-29 7:20:00     AOOze           lmn  Â
 2015-05-29 7:30:00     AOOze           start  2015-05-29 7:35:00     AOOze           stop
 2015-05-29 7:40:00     AOOze           pqy  2015-05-29 7:45:00     AOOze           stop  2015-05-29 7:50:00     AOOze           lmn  Â
I need to Find Maximum interval time for between message like Start and Stop as per order of createdDate.
For example:
OccuranceCount      MinDate                   MaxDate         DurationInSeconds 1                2015-05-29 7:05:00     2015-05-29 7:35:00   30 2                2015-05-29 7:30:00     2015-05-29 7:45:00   15
so I have some data that looks like this: semester weekOfSemester counts Fall 2006 4 1 Fall 2007 4 6
I want to eventually graphically represent this data over the 18 weeks of the semester in terms of Fall 2007. I need to show change weather positive or negative as a percentage against Fall 2006. Can someone help with the sql?
i am using this expression to get the time difference between two times.
{%Z.elapsed.time(@AK.VD.depart.date,@AK.VD.depart.time,@AK.VD.depart.date,@DV.VD.arrival.time,"hh.hh")*60} as [LOS (min)]
When Arrival time and depart time both are on same day above expression working to get the diference .
But if arrival date 2013-09-20 00:00:00.000 and arrival time 0800 and depart date 2013-09-21 00:00:00.000 and depart time 0050 when i calculate the time difference(using above expression) between these two i am getting -429.60 which is wrong. i have to get around 990.
I have already seen stored procedures that can calculate a difference in dates, excluding the weekends. Any extension of such a SQL query to exclude not only weekends, but other dates as well. We have a table of "holidays" (not necessarily standard holidays), and I am wondering if there is a way to exclude them from the calculation.
I would like to calculate difference between end_date and current date in Months.And also how we can calculate the sum of difference in months between start_date and end_date for each ID?
CREATE TABLE datedifference ( id INT ,start_date INT ,end_date INT ) INSERT INTO datedifference VALUES (10,20091202,20100629) INSERT INTO datedifference VALUES (20,20071202,20090330) INSERT INTO datedifference VALUES (30,20051202,20101031)
I have a table with appdt as first appointment date and the another record for the same customer# has follow up appointment.
Each customer is uniquely identified by a customer#
I need to find out if the customer came back after 200 days or more when the first appointment date was between jan12014 and Aug 31 2014. I am only interested in first follow up appointment after 30 days or more.
I have two nvarchar fields with time data 12:34:34 and the second one 12:34 I want to calculate the difference in Hours. The first field is called (OTIM) the second field is called (ReportedTime) if the name matters. I tried substring to trim the OTIM, I am unable to make it work.
I am trying to write a query to calculate the running difference between data on different dates. Below is what my table of data looks like. Basically I want to calculate the difference between the total_completed for each state and date.
below is my code (I almost have what I need) I just can't figure out how show 0 as the completed_difference for the first Date for each state since there is no prior date to calculate against.
MRR_TOTALS_WEEK_OVER_WEEK AS ( SELECT T1.[Date] ,T1.States ,T2.Total_Completed ,ROW_NUMBER() OVER(PARTITION BY T1.States ORDER BY T1.States,T1.[Date]) AS ORDERING FROM TOTAL_CHARTS T1 LEFT JOIN TOTAL_COMPLETED T2 ON T1.[Date] = T2.[Date] AND T1.States = T2.States )
I am creating matrix report with grouping on WEEK and Fiscalyearweek,I need to calculate of difference between FY14W01,FY15W01 ande  percentage of those..how to calculate in ssrs level.
The values in the final table are the days used by each ID transferring from status i to status i-1. E.g., ID uses 8 days (10-May-13 - 2-May-13) to go to status 3 from status 4.
It is hard for me to come up with a table like the final table, although I know that the difference between two adjacent rows can be computed by using self-join and timediff().
For displaying data on the report I am using the following query
SELECT ReferenceNumber, ActivityID, ActivityTimeStamp, ActivityType, ActivityPerformedBy FROM ActivityDetails ORDER BY ReferenceNumber, ActivityID
The result set is
Issue Reference #
Activity ID
Activity Date/Time
Activity Type
100819
4521404
11/4/07 2:06 PM
INIT
100819
4521405
11/4/07 2:07 PM
LOG
100819
4521406
11/4/07 2:07 PM
LOG
100819
4521473
11/4/07 2:28 PM
TR
100819
4521501
11/4/07 2:33 PM
WIP
100819
4521839
11/4/07 3:25 PM
RE
100819
4521844
11/4/07 3:27 PM
RE_Method
100819
4522575
11/4/07 8:53 PM
CL
100820
4521412
11/4/07 2:10 PM
INIT
100820
4521419
11/4/07 2:13 PM
ATTACHTDOC
100820
4525856
11/5/07 2:49 PM
ATTACHTDOC
100820
4525859
11/5/07 2:49 PM
LOG
100820
4525869
11/5/07 2:49 PM
CL
100821
4521423
11/4/07 2:14 PM
INIT
100821
4521425
11/4/07 2:14 PM
LOG
100821
4521429
11/4/07 2:14 PM
TR
100821
4521432
11/4/07 2:14 PM
ACK
100821
4522219
11/4/07 4:58 PM
RE
100821
4522221
11/4/07 4:58 PM
RE_Method
100821
4522447
11/4/07 6:51 PM
CL
On the report I have used the grouped by clause on 'Issue Reference #'. I want one more column which would calculate the difference between two consecutive Activity Date/Time of the same reference #.
e.g. Time difference between 4521404 and 4521405, 4521405 and 4521406, 4521406 and 4521473 etc. Please note that the difference between 4521412 and 4522575 will NOT be calculated since they are from different Reference Numbers.
I have a table named Orders and this table has two relevant fields: CustomerId and OrderDate. I am trying to construct a query that will give me the difference, in days, between each customer's order so that the results would be something like: (using Northwind as the example)
At the moment, I have the following query that I think is on the right track: €¦ SELECT dbo.Orders.CustomerID, dbo.Orders.OrderDate AS LowDate, Orders_1.OrderDate AS HighDate, DATEDIFF([day], dbo.Orders.OrderDate, Orders_1.OrderDate) AS Difference FROM dbo.Orders INNER JOIN dbo.Orders Orders_1 ON dbo.Orders.CustomerID = Orders_1.CustomerID AND dbo.Orders.OrderDate < Orders_1.OrderDate GROUP BY dbo.Orders.CustomerID, dbo.Orders.OrderDate, Orders_1.OrderDate, DATEDIFF([day], dbo.Orders.OrderDate, Orders_1.OrderDate) ORDER BY dbo.Orders.CustomerID, dbo.Orders.OrderDate, Orders_1.OrderDate €¦
So, do any of you have any ideas how I might achieve this? I know how to do it using a stored procedure, but I am trying to avoid that; I€™d like to do this in a single query.
I have here a query which delivers me the user data from the last month. The problem what I have is, if employee have more then one rows in this month, they will be also deliverd. But exactly this is not needed. I need only the last record from last month.
SELECT a.FIRMA, a.PSNR, a.FELDNR, a.PFLFDNR, a.INHALT AS FTE, a.PFGLTAB,
As you can see, PSNR=364 has two rows and i need only the row from last month and last date.Maybe we can use Field PFLFDNR as counter. get only one row for every employee?
how to measure a change in inventory over various stores.  My sql2008R2 express db gets a new row of data everyday from each store(about 40 stores) for a single product stock count "OnHand" and if there is any new stock on order.  When the new stock arrives it is added to the "OnHand" count.  I want to measure the delta change per day,per store.  I'm stuck on how to separate the stores and how to query the delta of stock.My data base looks like this                 TimeStamp Store OnHand OnOrder 2015/04/22 18   1 - Concord 12    0 2015/04/23 11   1 - Concord 11  [code]....
I am trying to create an exception report that will show the difference between two versions of the same row. (Combination of two different sources in sql, with source 1 having childID = 0 and the other source having childID = 1; parentID is the link between them)
The results are as follows:
ParentID - ChildID - Col1 - Col2 - Col3 1 - 0 - AA - BB - CC 1 - 1 - AA - BF - CC 2 - 0 - GG - NN - TT 2 - 1 - DE - NN - TA 3 - 0 - etc 3 - 1 - etc 4 - etc
id     type    timestamp 1001   start1   10:34:23:545 1001   start2   10:34:24:545 1001   end2   10:34:24:845 1001   end1   10:34:25:545 1002   start1   10:34:25:645 1002   start2   10:34:25:745 1002   end2   10:34:25:945 1002   end1   10:34:25:965
I need the result as follows
id        millisecond diff start1end1               millisecond diff start2end2 1001   end1 timestamp-start1 timestamp   end2 timestamp-start2 timestamp 1002   end1 timestamp-start1 timestamp  end2 timestamp-start2 timestamp
Given a table that has three columns that together create a key and two columns that together define NameValue pairs, how can the difference between instances of values be calculated and displayed?One table is used to contain periodic dumps of data from various sources. Because this is an early stage of development for the software project instead of having explicit columns that contain specific data the table contains name/value pairs. This allows the software to export anything to the database table. When this data is imported, earch row shares the same key (three columns containing a machine type, serial number and a timestamp), a name that identifies the data and a string that contains the actual data. While this arrangement makes it trivial to support the addition of any data that the software developers want to export, it makes it less obvious as to how to generate reports.Let's make an example. Lets assume that there are two vending machines, each of which has just 3 snacks and each of which generates two separate reports.
Type Sn Timestamp Name Value A 1 2015-08-15 12:34 Snick 5 A 1 2015-08-15 12:34 Mars 10 A 1 2015-08-15 12:34 MandM 0B 2 2015-08-15 15:31 Snick 1 B 2 2015-08-15 15:31 Mars 9 B 2 2015-08-15 15:31 MandM 0A 1 2015-08-21 09:12 Snick 11 A 1 2015-08-21 09:12 Mars 18
[code]...
So, the names of the values become the report's columns. The reports are sorted by timestamp, then by type, then by serial number.The value associated with the previous row that shares the same name is subtracted from the value of the next row in which the same name occurs and that becomes the displayed value in the report.
I have found execution plan with significant difference between actual and estimated number of rows (roughly actual/2=estimated) in non-clustered index seek.Statistics are updated.
