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LINQ Query Multiple Group and count of latest record - Oracle DB

I tried to divided Linq queries into 3 (total, success, fail) but so far "Total" Linq query is working fine. Please help me to get "Success", "Fail" columns (it has mulitple statuses and we have to check the last column of each transaction and destination)
Note: you need to group by ProcessTime, TransactionId, Destination and check last column whether it is success or Fail then apply count (we are using oracle as backend)
LINQ for Total count
var query = (from filetrans in context.FILE_TRANSACTION
join route in context.FILE_ROUTE on filetrans.FILE_TRANID equals route.FILE_TRANID
where
filetrans.PROCESS_STRT_TIME >= fromDateFilter && filetrans.PROCESS_STRT_TIME <= toDateFilter
select new { PROCESS_STRT_TIME = DbFunctions.TruncateTime((DateTime)filetrans.PROCESS_STRT_TIME), filetrans.FILE_TRANID, route.DESTINATION }).
GroupBy(p => new { p.PROCESS_STRT_TIME, p.FILE_TRANID, p.DESTINATION });
var result = query.GroupBy(x => x.Key.PROCESS_STRT_TIME).Select(x => new { x.Key, Count = x.Count() }).ToDictionary(a => a.Key, a => a.Count);

Check this solution. If it gives wrong result, then I need more details.
var fileTransQuery =
from filetrans in context.AFRS_FILE_TRANSACTION
where accountIds.Contains(filetrans.ACNT_ID) &&
filetrans.PROCESS_STRT_TIME >= fromDateFilter && filetrans.PROCESS_STRT_TIME <= toDateFilter
select filetrans;
var routesQuery =
from filetrans in fileTransQuery
join route in context.AFRS_FILE_ROUTE on filetrans.FILE_TRANID equals route.FILE_TRANID
select route;
var lastRouteQuery =
from d in routesQuery.GroupBy(route => new { route.FILE_TRANID, route.DESTINATION })
.Select(g => new
{
g.Key.FILE_TRANID,
g.Key.DESTINATION,
ROUTE_ID = g.Max(x => x.ROUTE_ID)
})
from route in routesQuery
.Where(route => d.FILE_TRANID == route.FILE_TRANID && d.DESTINATION == route.DESTINATION && d.ROUTE_ID == route.ROUTE_ID)
select route;
var recordsQuery =
from filetrans in fileTransQuery
join route in lastRouteQuery on filetrans.FILE_TRANID equals route.FILE_TRANID
select new { filetrans.PROCESS_STRT_TIME, route.CRNT_ROUTE_FILE_STATUS_ID };
var result = recordsQuery
.GroupBy(p => DbFunctions.TruncateTime((DateTime)p.PROCESS_STRT_TIME))
.Select(g => new TrendData
{
TotalCount = g.Sum(x => x.CRNT_ROUTE_FILE_STATUS_ID != 7 && x.CRNT_ROUTE_FILE_STATUS_ID != 8 ? 1 : 0)
SucccessCount = g.Sum(x => x.CRNT_ROUTE_FILE_STATUS_ID == 7 ? 1 : 0),
FailCount = g.Sum(x => failureStatus.Contains(x.CRNT_ROUTE_FILE_STATUS_ID) ? 1 : 0),
Date = g.Min(x => x.PROCESS_STRT_TIME)
})
.OrderBy(x => x.Date)
.ToList();

Grouping week of the month that is input to linechart

I have a problem when grouping weeks from input months,
the results I get are always like this
{name: "Pembunuhan", data: [1,4]}
it should be the result I want like this
{name: "Pembunuhan", data: [1,0,0,4]}
this is my code
var dateNya = DateTime.Today;
var bln = int.Parse(month);
var mstrKategori = context.master_kategori.OrderBy("id ASC").ToList();
var joinnya = (from ls in context.list_dokumen join ktgr in context.master_kategori on ls.kategori equals ktgr.id
where ls.polda_id != null
select new
{
tgl_laporan = ls.tgl_laporan,
idKategori = ktgr.id,
week = ls.week,
month = ls.month,
year = ls.year
}).ToArray();
foreach (var itemktgr in mstrKategori)
{
var tes2 = joinnya.Where(i => i.idKategori == itemktgr.id).Where(a => a.month == bln).Where(o => o.year == dateNya.Year)
.GroupBy(row => new { week = row.week ?? 0 })
.Select(g => new
{
week = g.Key.week,
couny = g == null ? 0: g.Count()
})
.ToList();
tes2.ToList().ForEach(p => lineChartList.Add(new DataChart {name = itemktgr.nama2, data = p.couny}));
}
var result = lineChartList.GroupBy(x => new { x.name })
.Select(b => new DataChartTrending2
{
data = b.Select(bn => bn.data).ToList(),
name = (b.Key.name == null) ? "Lainnya" : b.Key.name
}).ToList();

The GroupBy clause won't create empty groups for weeks that have no matching records.
Use GroupJoin to perform an outer join on week indices, meaning that you will get a group for each week index, even indices that no record in tes2 matched:
var weekIds = Enumerable.Range(0, 4); // assuming your weeks are 0, 1, 2, 3
var tes2 = joinnya
.Where(i => i.idKategori == itemktgr.id)
.Where(a => a.month == bln)
.Where(o => o.year == dateNya.Year)
var countPerWeek = weekIds.GroupJoin(
tes2,
weekId => weekId,
row => row.week,
(week, weekGroup) => weekGroup.Count()
);
For each week, it will get you the number of matching records, including zeroes for weeks that don't have a matching record.
Alternative syntax:
var countPerWeek =
from weekId in weekIds
join row in tes2 on weekId equals row.week into weekGroup
select weekGroup.Count();

returning multiple column and sum using linq expression

I need to return two fields using a lambda expression. The first one is the sum of the amount field and the second one is CurrentFinancial year. Below is the code that I have written, how do I include CurrentFinancialYear?
var amount = dealingContext.vw_GetContribution
.Where(o => o.ContactID == contactId)
.Sum(o => o.Amount);
return new Contribution { Amount = amount ?? 0, CurrentFinancialYear = };

Grouping by Year should do the trick:
from entry in ledger.Entries
where entry.ContactID == contactId
&& entry.Time.Year == currentFinancialYear
group entry by entry.Time.Year
into g
select new Contribution ()
{
Amount = g.ToList ().Sum (e => e.Amount),
CurrentFinancialYear = g.Key
};
UPDATE - just return the first/default result...
(from entry in ledger.Entries
where entry.ContactID == contactId
&& entry.Time.Year == currentFinancialYear
group entry by entry.Time.Year
into g
select new Contribution ()
{
Amount = g.ToList ().Sum (e => e.Amount),
CurrentFinancialYear = g.Key
}).FirstOrDefault();

First of all use a simple select
var contribution = dealingContext.vw_GetContribution
.Where(o => o.ContactID == contactId).ToList();
It will give you a list of type vw_GetContribution
Then use groupby on this list as
var groupedContribution = contribution.GroupBy(b => b.CurrentFinancialYear).ToList();
Now you can iterate through or use this list as
foreach(var obj in groupedContribution.SelectMany(result => result).ToList())
{
var amount = obj.Amount;
var Year = obj.CurrentFinancialYear;
}
OR
In single line, you can do all the above as
var contList = context.vw_GetContribution
.Select(a => new { a.Amount, a.CurrentFinancialYear })
.GroupBy(b => b.CurrentFinancialYear)
.SelectMany(result => result).ToList();
I hope this will solve your problem.

Can you try this:
var amount = dealingContext.vw_GetContribution
.Where(o => o.ContactID == contactId)
.GroupBy(o=> new { o.CurrentFinancialYear, o.Amount})
.Select(group =>
new {
year= group.Key.CurrentFinancialYear,
sum= group.Sum(x=>x.Amount)
});

Linq C# Sum in Group By

I'm trying to transform the SQL that is here http://sqlfiddle.com/#!6/a1c8d/2 in linq below. The expected result is what is in sqlfiddle, but my LINQ returns more rows.
PS: In sqlfiddle the fields are reduced to not increase pollution and stay focused on my problem.
resultado.Dados =
(
from a in db.AgendaHorario
join b in db.Agenda on a.AgendaID equals b.AgendaID
select new
{
a.AgendaID,
Horario = a.Horario,
Controle = a.Controle,
Cor = b.Cor,
Agenda = b.Sigla
}).AsEnumerable()
.GroupBy(g => new
{
g.AgendaID,
Horario = g.Horario.ToString("dd/MM/yyyy"),
Data = g.Horario.ToString("yyyy-MM-dd"),
g.Controle,
g.Agenda,
g.Cor
})
.Select(s => new
{
id = s.Key.AgendaID,
title = s.Key.Agenda,
start = s.Key.Data,
color = String.IsNullOrEmpty(s.Key.Cor) ? "3a87ad" : s.Key.Cor,
className = "",
someKey = 1,
allDay = false,
Resultado0 = s.Sum(m => m.Controle == "L" ? 1 : 0).ToString(),
Resultado1 = s.Sum(m => m.Controle == "B" ? 1 : 0).ToString()
});

As per the comments, this addresses the question of how to repeat your SqlFiddle in Linq. Note that the projection to a String Date cannot be converted to Sql directly, so I've had to early materialize with AsEnumerable() (obviously, in your real query, apply any filters prior to materializing!). You could probably do the grouping on just the date part using SqlFunctions, e.g. 3 x applications of SqlFunctions.DatePart will allow you to group by dd, MM and YYYY
var dados = db.AgendaHorarios1
.AsEnumerable()
.GroupBy(ah => ah.Horario.ToString("dd/MM/yyyy"))
.Select(g => new {Horario = g.Key,
Livre = g.Count(x => x.Controle == "L"),
Bloq = g.Count(x => x.Controle == "B"),
Aged = g.Count(x => x.Controle == "A")});

Linq group by return always values

I have this small code and I wanna return Today and count always with or not values.
DateRange dateRangeLastWeek = DateRange.LastWeek(DateTime.Now);
var caseCounts = db.Find(x => x.FinishDate.HasValue)
.Where(c => c.FinishDate.Value.Date == dateRangeLastWeek.Today.Date ||
(c.FinishDate.Value.Date >= dateRangeLastWeek.Start && c.FinishDate.Value.Date <= dateRangeLastWeek.End))
.GroupBy(c => c.FinishDate.Value.Date == dateRangeLastWeek.Today.Date ? "Today" : "Last Week")
.Select(g => new JsonChartModel
{
Name = g.Key,
Value = g.Count()
});
In this case I wanna return:
Today : 10
Last Week: 0

Not really elegant, but you could use an Union with default Values, and select the max between default and returned values.
var defaultValues = new List<JsonChartModel> {
new JsonChartModel{Name = "Today", Value = 0},
new JsonChartModel{Name = "Last Week", Value = 0}
};
var result = <YourQuery>.ToList().Union(defaultValues)
.GroupBy(m => m.Name)
.Select(g => new JsonChartModel) {
Name = g.Key,
Value = g.Max(x => x.Value)
});