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how to groupby items List<keyvaluepair <string,datetime[]>> over date

I have a datatable filled by date , day ,name and type so I read from this datatable into List> using C#.net so
the code is this :
dicArray = dtrd.AsEnumerable()
.Select(Row => Row["IDp"]).Distinct()
.Select(Id => new KeyValuePair<string, string[]>(
Id.ToString(),
dtrd.AsEnumerable()
.Where(Row => Row["IDp"].ToString() == Id.ToString())
.Select(Row => Row["date"].ToString()+";"+ Row["day"].ToString()+";"+Row["nobatkari"].ToString() + ";" + Row["pname"].ToString())
.ToArray()))
.ToList();
now I want to count each item over date I mean that I want to know how many rows are with the same date
please help me to solve it
for example:
1 **2017-02-19** 15:12:20 1 0 1 0
1 **2017-02-19** 15:12:37 1 0 1 0
1 **2017-02-19** 15:12:41 1 0 1 0 Count:3
1 **2017-02-20** 15:14:10 1 2 1 0
1 **2017-02-20** 16:38:14 1 2 1 0
3 **2017-02-20** 16:38:19 1 2 1 0 Count:3
3 **2017-02-21** 16:39:09 1 0 1 0
3 **2017-02-21** 17:25:06 1 0 1 0
2 **2017-02-21** 18:28:50 1 0 1 0 Count:3
2 **2017-02-22** 18:29:04 1 0 1 0 Count:1
2 **2017-02-23** 18:29:17 1 0 1 0
3 **2017-02-23** 18:30:45 1 0 1 0 Count:2
2 **2017-02-24** 18:31:32 1 0 1 0
2 **2017-02-24** 18:31:47 1 0 1 0 Count:2
2 **2017-02-25** 18:32:18 1 4 1 0 Count:1
Of course I want date section not time include

var res = yourList.GroupBy(x => x.date.Date).Select(x=> new { date = x.Key, count = x.Count() });
This will create a new list containtng date and count of elements for each date.

Lambda Linq Iqueryable group - add another grouping

I have a method that I use for generating a summary report, based on the options a user selects in pick lists, to count the number of a type of test that is completed in a region, with subset locations, within a date range.
Here's what the data looks like:
Completed Test Counts by Location
From 1 FEB 2015 to 1 MAR 2015
Total TestType Location Region Division
455 24 Hour Lab 1 City 1 Division A
28 24 Hour Lab 2 City 1 Division A
95 24 Hour Clinic Z City 2 Division A
189 24 Hour Clinic Y City 2 Division A
Here's what it might look like for a different test type, at the same time period:
Total TestType Location Region Division
285 48 Hour Lab 1 City 1 Division A
12 48 Hour Lab 2 City 1 Division A
75 48 Hour Clinic Z City 2 Division A
106 48 Hour Clinic Y City 2 Division A
Now, the users would like to see the summary breakdown by testType in one report (in SQL, adding another attribute to a group by). In my pick list of testTypeId, I am using 0 as my "All" item. In a perfect world, I'd have another addition to the IQueryable if testTypeId == 0, so that I can keep the same private method, rather than writing a new query.
Here's what we'd like the data to look like in the "ALL" situation:
Total TestType Location Region Division
455 24 Hour Lab 1 City 1 Division A
285 48 Hour Lab 1 City 1 Division A
59 12 Lead Lab 1 City 1 Division A
28 24 Hour Lab 2 City 1 Division A
12 48 Hour Lab 2 City 1 Division A
95 24 Hour Clinic Z City 2 Division A
75 48 Hour Clinic Z City 2 Division A
5 12 Lead Clinic Z City 2 Division A
189 24 Hour Clinic Y City 2 Division A
106 48 Hour Clinic Y City 2 Division A
8 12 Lead Clinic Y City 2 Division A
The example below shows what I have with what I'd like to add in it, but the syntax tells me I can't take an IQueryable containing an IGrouping and convert it to the target type of IQueryable.
Can anyone point me in a good direction here?
private CompletedCountReport GetCompletedCountsByRegion(int regionId, DateTime? startDate, DateTime? endDate, int testTypeId)
{
var ccRpt = new CompletedCountReport { CompletedCounts = new List<CompletedCount>(), StartDate = startDate, EndDate = endDate, SelectedRegionID = regionId};
var query = HolterTestDao.FindAll(new GetCompletedByRegionIdAndDates(regionId, startDate.Value, endDate.Value));
// a specific test type was selected
if (testTypeId > 0)
{
query = query.Where(x => x.HolterTestType == testTypeId);
}
// THIS IS WHAT I WANT TO ADD -> otherwise group by test type <- THIS IS WHAT I WANT TO ADD.
if (testTypeId == 0)
{
query = query.GroupBy(x => x.HolterTestType);
}
// order by locationID within the region.
query = query.OrderBy(x => x.Location.ID);
var htList = query.ToList();
// now Group by Location, to get counts.
var reportContents = htList.GroupBy(x => x.Location.ID);
foreach (var r in reportContents)
{
var rList = r.ToList();
var cc = new CompletedCount();
var loc = LocationDao.FindById(r.Key);
cc.Description = loc.Description;
cc.RegionId = loc.Region.ID;
cc.DivisionId = loc.Region.Division.ID;
cc.TestTypeId = testTypeId;
cc.Count = rList.Count;
ccRpt.CompletedCounts.Add(cc);
}
return ccRpt;
}

My solution was to OrderBy Location and HolterTestType, then GroupBy location for the basic contents, and then add another grouping in my loop through the results to get the counts by test type:
query = query.OrderBy(x => x.Location.ID).ThenBy(x => x.HolterTestType);
var htList = query.ToList();
// now Group by Location.
var reportContents = htList.GroupBy(x => x.Location.ID);
foreach (var r in reportContents)
{
//Group by TestType, to get counts.
var t = r.GroupBy(x => x.HolterTestType);
var tList = t.ToList();
foreach(var u in tList)
{
var cc = new CompletedCount();
var loc = LocationDao.FindById(r.Key);
cc.Description = loc.Description;
cc.RegionId = loc.Region.ID;
cc.DivisionId = loc.Region.Division.ID;
cc.TestTypeId = u.Key;
cc.Count = u.Count();
ccRpt.CompletedCounts.Add(cc);
}
}

How to select hour in priority

I'm using C# and SQL Server 2008 R2.
I have hour data like this:
Client_ID TheHour HourMin HourMAx
53026 09:00 7 9
53026 12:00 10 12
53026 15:00 13 15
53026 18:00 16 19
I will put TheHour into my combobox, that depends on computer hour.
When the computer hour is 10:00 then the value of my combobox:
12:00
15:00
18:00
09:00
My linq is :
int The_Hour = DateTime.Now.Hour;
var query = from o in oEntite_T.LS_CLIENTHORRAIRE
where o.CLIENT_ID == CLIENT_ID &&
The_Hour >= o.HEURE_MIN && The_Hour <= o.HEURE_MAX
select o;
LesListe = query.ToList();
It return only 1 value, which is 12:00.
That meant my combobox will select hour that depend on computer hour, but it leave the possibility for the user to select another hour.

Here is a working example in LINQPad, I also added a flag to indicate selected value.:
void Main()
{
var LS_CLIENTHORRAIREs = new List<LS_CLIENTHORRAIRE>
{
new LS_CLIENTHORRAIRE{TheHour="09:00",HourMin=7,HourMAx=9},
new LS_CLIENTHORRAIRE{TheHour="12:00",HourMin=10,HourMAx=12},
new LS_CLIENTHORRAIRE{TheHour="15:00",HourMin=13,HourMAx=15},
new LS_CLIENTHORRAIRE{TheHour="18:00",HourMin=16,HourMAx=19}
};
LS_CLIENTHORRAIREs.Dump();
int The_Hour = 10;
var query = from o in LS_CLIENTHORRAIREs
select new {o.TheHour,o.HourMin,o.HourMAx,selected = The_Hour >= o.HourMin && The_Hour <= o.HourMAx}
;
query.OrderBy (q => q.HourMAx>The_Hour ? 0 : 1).ThenBy (q => q.HourMAx).Dump();
}
public class LS_CLIENTHORRAIRE
{
public string TheHour{get;set;}
public int HourMin{get;set;}
public int HourMAx{get;set;}
}
Results

So, basically, you don't want to filter the list, you want to sort it, right?
First, you want to sort it by
whether the MaxHour is in the past
and then by
TheHour itself.
Example: Let's assume it is 10:00:
Client_ID TheHour HourMin HourMax MaxHourIsInThePast
53026 09:00 7 9 x
53026 12:00 10 12
53026 15:00 13 15
53026 18:00 16 19
Now you return a list that orders first by MaxHourIsInThePast (first those without x and then those with x) and then by TheHour.
Implementation is left as an exercise. Hint: You will need the LINQ order by keyword, and an expression similar to (o.HourMax < currentHour ? 2 : 1) will come in handy.

Let assume the computer hour is 10.
Then: your condition would be: HourMin <= 10 && HoureMax >= 10.
The first condition would return row 1 and 2. The second one would return row 2. The intersect will return only the second row, which is 12:00.
If you want to get all rows, just remove these conditions.

Put value in datatable group by month

I have this datatable in c#
Date Employee Job1 Job2 Job3
1/1/2012 a 1 1 1
1/1/2012 b 2 2 2
1/1/2012 c 2 1 4
1/1/2012 d 4 2 1
1/2/2012 a 3 2 5
1/2/2012 b 2 2 2
1/2/2012 c 3 3 3
1/2/2012 d 1 1 1
1/3/2012 a 5 5 5
1/3/2012 b 2 2 6
1/3/2012 c 1 1 1
1/3/2012 d 2 3 4
2/1/2012 a 2 2.5 2
2/1/2012 b 5 5 2
2/1/2012 c 2 2 2
2/2/2012 a 3 3 3
2/2/2012 b 2 3 3
3/1/2012 a 4 4 11
3/5/2012 a 14 42.5 15
3/6/2012 a 21 12.143 22
3/8/2012 a 8.9 45 27
3/8/2012 b 4.4 25 31
I want to loop through the values monthwise such that i can store the value in a datatable and will do the other calculation with that. Here with this example it will have three datatable, first with january values, another one with feb and last one with march rows. How can this be done by Linq. Please suggest the Linq syntax which will group the results month wise.
var monthEmpGroups = dt.AsEnumerable()
.Select(r => new
{
Year = DateTime.Parse(r.Field<string>("DATE")).Year,
Month = DateTime.Parse(r.Field<string>("DATE")).Month.ToString()
})
.GroupBy(x => x.Month);
var dtf = CultureInfo.CurrentCulture.DateTimeFormat;
foreach (var empGroup in monthEmpGroups)
{
int month = int.Parse(empGroup.Key);
string colName = dtf.GetMonthName(month);
// Here i want to get all the rows where month is colName (i.e.january, feb, march)
}
Please suggest if there is other way around to get the values month wise using LINQ.

You should move getting items for every group into monthEmpGroups query:
var monthEmpGroups = (from r in dt.AsEnumerable()
let month = DateTime.Parse(r.Field<string>("DATE")).Month
group r by month into g
select new { Month = g.Key, Items = g.ToList() });
With that you can easily get desired results:
var dtf = System.Globalization.CultureInfo.CurrentCulture.DateTimeFormat;
foreach (var empGroup in monthEmpGroups)
{
int month = empGroup.Month;
string colName = dtf.GetMonthName(month);
List<DataRow> items = empGroup.Items;
}

Update all records using a function sql

I am looking to update a calculated sum in sql
Basically I have a table:
ImportID SeiralNumber Day Hour value Difference Complete
1 123 1 1 6 NULL 0
2 123 1 2 8 NULL 0
3 123 1 5 21 NULL 0
4 123 1 6 28 NULL 0
5 222 2 2 12 NULL 0
6 222 2 5 18 NULL 0
7 222 2 4 16 NULL 0
8 222 1 12 8 NULL 0
For each serial number there will be a day 1-365 and hour through 1-12, all I want to do is calculate the difference filed from the record before
So take ImportID 6, I need to get the record which is on the same day and the hour before (importID 7) then I need to update the Difference using the value field which is 18 -17 = 1.
N.B. There may be gaps in the sequence and if there is no previous record then the difference should stay as NULL. Once they have been calculated they need to be inserted into a new table only when the difference is now not null and it doesn't exist in the table already, on a successful insert they get marked as complete. Also a record before can be a previous day (day 1 hour 12) is the record before (day 2, hour 1)
Currently I am using a loop to select the null values, get the previous record, update the record, if its OK insert into other table, update the Completed field.
My issue is that this is working on a million records and it is taking a long while to Select the applicable records (completed = 0) into a temp table and loop through each.
Is there any quicker way to mass process these as an update statement? Or separate statements?
The result should be
ImportID SeiralNumber Day Hour value Difference Complete
1 123 1 1 6 NULL 0
2 123 1 2 8 2 1
3 123 1 5 21 NULL 0
4 123 1 6 28 7 1
5 222 2 1 12 4 1
6 222 2 5 18 2 1
7 222 2 4 16 NULL 0
8 222 1 12 8 NULL 0
Thanks in advance

I think this is basically it isn't it?
DECLARE #TABLE TABLE
(
ImportId INT,
SerialNumber INT,
Day INT,
Hour INT,
Value INT,
Difference INT,
Complete INT
)
INSERT INTO #TABLE VALUES
(1,123,1,1,6,NULL,0),
(2,123,1,2,8,NULL,0),
(3,123,1,5,21,NULL,0),
(4,123,1,6,28,NULL,0),
(5,222,2,1,12,NULL,0),
(6,222,2,5,18,NULL,0),
(7,222,2,4,16,NULL,0),
(8,222,1,12,8,NULL,0)
SELECT * FROM #Table
UPDATE T
SET T.Difference = T.Value - TT.Value,
Complete = 1
FROM
(
SELECT *
,ROW_NUMBER() OVER (PARTITION BY SerialNumber ORDER BY Day ASC, Hour ASC) AS RowCounter
FROM #TABLE
WHERE Complete = 0 --Ignore completed ones
)AS T
INNER JOIN
(
SELECT *
,ROW_NUMBER() OVER (PARTITION BY SerialNumber ORDER BY Day ASC, Hour ASC) AS RowCounter
FROM #TABLE
)AS TT
ON T.SerialNumber = TT.SerialNumber
WHERE
(
T.RowCounter = TT.RowCounter + 1
AND
T.Day = TT.Day
AND
T.Hour = TT.Hour + 1
)
OR
(
T.Day = TT.Day + 1
AND
T.Hour = 1
AND
TT.Hour = 12
)
SELECT * FROM #TABLE