Encapsulate LINQ GroupBy Select - c#

I'm looking to encapsulate the Select section of the GroupBy to have a more readable, understandable and nicer code. There is anyway to do that?
This is what I have now (And I have a lot of GroupsBy in my code, is not only one, that's another reason to encapsulate as much as possible):
var xTypeAggregatedTransactions = xTypeTrtansactions.
.GroupBy(x => new {x.TypeId, x.AccountId})
.Select(y => new PayTransactionsCommand
{
Id = Guid.NewGuid(),
Narration = item.Name,
AccountId = y.Key.AccountId,
Credit = y.Sum(z => z.Credit),
});
This is what I want:
var xTypeAggregatedTransactions = xTypeTrtansactions.
.GroupBy(x => new {x.TypeId, x.AccountId})
.AsEnumerable().ToPayTransaction();
Thanks

Write an extension class:
public static class TypeTrtansactionExtensions
{
public static IEnumerable<PayTransactionsCommand> ToPayTransaction(this IQueryable<TypeTrtansaction> query, string itemName)
{
return query.GroupBy(x => new { x.TypeId, x.AccountId })
.Select(y => new PayTransactionsCommand
{
Id = Guid.NewGuid(),
Narration = itemName,
AccountId = y.Key.AccountId,
Credit = y.Sum(z => z.Credit),
});
}
}
And call it:
var xTypeAggregatedTransactions = xTypeTrtansactions.ToPayTransaction(item.Name);
Also, you can add more parameters, if you need.

Related

Does not display data in linq C#

I have Linq which counts the goods, the problem is that the names that I pass, they do not work
ProductName, CompanyName, CustomerName,
Maybe there is a error in Linq?
It produces many anonymous methods that have these fields, but after ToList() everything does not work
public async Task<IEnumerable<SalesReportItem>> GetReportData(DateTime dateStart, DateTime dateEnd)
{
dateStart = new DateTime(2000, 1, 1);
var context = await _contextFactory.CreateDbContextAsync();
var queryable = context.SalesTransactionRecords.Join(
context.Products,
salesTransactionRecords => salesTransactionRecords.ProductId,
products => products.Id,
(salesTransactionRecords, products) =>
new
{
salesTransactionRecords,
products
})
.Join(context.Companies,
combinedEntry => combinedEntry.salesTransactionRecords.CompanyId,
company => company.Id,
(combinedEntry, company) => new
{
combinedEntry,
company
})
.Join(context.VendorCustomers,
combinedEntryAgain => combinedEntryAgain.combinedEntry.salesTransactionRecords.CustomerId,
vendorCustomer => vendorCustomer.Id,
(combinedEntryAgain, vendorCustomer) => new
{
CompanyName = combinedEntryAgain.company.Name,
CustomerName = vendorCustomer.Name,
ProductId = combinedEntryAgain.combinedEntry.products.Id,
ProductName = combinedEntryAgain.combinedEntry.products.Name,
combinedEntryAgain.combinedEntry.salesTransactionRecords.MovementType,
combinedEntryAgain.combinedEntry.salesTransactionRecords.Period,
combinedEntryAgain.combinedEntry.salesTransactionRecords.Quantity,
combinedEntryAgain.combinedEntry.salesTransactionRecords.Amount,
}).Where(x => x.Period >= dateStart && x.Period <= dateEnd)
.GroupBy(combinedEntryAgain => new
{
combinedEntryAgain.ProductId,
combinedEntryAgain.ProductName,
combinedEntryAgain.CompanyName,
combinedEntryAgain.CustomerName,
}
).Select(x => new SalesReportItem
{
ProductId = x.Key.ProductId,
Quantity = x.Sum(a => a.Quantity),
Amount = x.Sum(x => (x.MovementType == TableMovementType.Income ? x.Amount : -(x.Amount)))
});
var items = await queryable.ToListAsync();
return _mapper.Map<IEnumerable<SalesReportItem>>(items);
}
my mistake was that I did not specify the fields in the select, otherwise everything is buzzing, the upper code is working
Select(x => new SalesReportItem
{
ProductId = x.Key.ProductId,
ProductName = x.Key.ProductName,
CompanyName = x.Key.CompanyName,
CustomerName = x.Key.CustomerName,
Quantity = x.Sum(x => (x.MovementType == TableMovementType.Income ? x.Quantity : - x.Quantity)),
Amount = x.Sum(x => (x.MovementType == TableMovementType.Income? x.Amount: - x.Amount))
});
Thanks for the help
Hans Kesting

Linq query optimization/summarize

I have the following query:
var countA=await _importContext.table1.CountAsync(ssc => ssc.ImportId == importId)
var countB=await _importContext.table2.CountAsync(ssc => ssc.ImportId == importId)
var countC=await _importContext.table3.CountAsync(ssc => ssc.ImportId == importId)
var countD=await _importContext.table4.CountAsync(ssc => ssc.ImportId == importId)
There are 9 more count from different tables. Is there a way to summarize the query in terms of optimizing & removing redundancy?
I tried wrapping up the queries like:
var result = new
{
countA = context.table1.Count(),
countB = context.table2.Count(),
.....
};
but this takes more time than the first one above.
You can't really optimise it as you seem to need the counts from all of the tables. Your second method of getting the data still calls the database the same amount of times as the first but also creates an object containing all of the counts so is likely to take longer.
The only thing you can really do to make it faster is to get the data in parallel but this might be overkill. I would just go with your first option unless it's really slow.
You can create such query via gouping by constant and Concat operator:
Helper class:
public class TableResult
{
public string Name { get; set; }
public int Count { get; set; }
}
Query:
var query = _importContext.table1.Where(ssc.ImportId == importId).GroupBy(x => 1).Select(g => new TableResult { Name = "table1", Count = g.Count() })
.Concat(_importContext.table2.Where(ssc.ImportId == importId).GroupBy(x => 1).Select(g => new TableResult { Name = "table2", Count = g.Count() }))
.Concat(_importContext.table3.Where(ssc.ImportId == importId).GroupBy(x => 1).Select(g => new TableResult { Name = "table3", Count = g.Count() }))
.Concat(_importContext.table4.Where(ssc.ImportId == importId).GroupBy(x => 1).Select(g => new TableResult { Name = "table4", Count = g.Count() }));
var result = await query.ToListAsync();

How do I create groups and subgroup1 and subgroup2 Use linq

How do I create groups and subgroup1 and subgroup2 Use linq.
Example of this picture
I want to create json.
Example of this picture.
I tried to do this but there was a problem.
The items are repeated within one subgroup2.
var list = result
.GroupBy(x => new { x.GroupId, x.GroupName })
.Select(g => new
{
ID = g.Key.GroupId,
Name = g.Key.GroupName,
SubGroup1 = g.GroupBy(x => new { x.SubGroupID1, x.SubGroupName1 })
.Select(cg => new
{
ID = cg.Key.SubGroupID1,
Name = cg.Key.SubGroupName1,
SubGroup2 = g.GroupBy(x => new { x.SubGroupID2, x.SubGroupName2 })
.Select(ii => new
{
ID = ii.Key.SubGroupID2,
Name = ii.Key.SubGroupName2,
item = ii.GroupBy(x => new { x.Stock_Id, x.Stock_Name, x.Prices, x.ScreenNumber })
.Select(oo => new
{
Stock_Id = oo.Key.Stock_Id,
Stock_Name = oo.Key.Stock_Name,
Prices = oo.Key.Prices,
ScreenNumber = oo.Key.ScreenNumber
}).OrderBy(Or => Or.Stock_Id)
.ToList()
}).OrderBy(Or => Or.ID)
.ToList()
}).OrderBy(Or => Or.ID)
.ToList()
}).OrderBy(Or => Or.ID)
.ToList();
Your query could be a lot cleaner if you grouped the groups up front, then project out to your desired results.
var query =
from x in data
group new { x.StockId, x.StockName, x.Prices, x.ScreenNumber }
by new { x.GroupId, x.GroupName, x.SubGroupId1, x.SubGroupName1, x.SubGroupId2, x.SubGroupName2 }
into g
group g
by new { g.Key.GroupId, g.Key.GroupName, g.Key.SubGroupId1, g.Key.SubGroupName1 }
into g2
group g2
by new { g2.Key.GroupId, g2.Key.GroupName }
into g1
select new
{
Id = g1.Key.GroupId,
Name = g1.Key.GroupName,
SubGroup1 = g1.Select(g2 => new
{
Id = g2.Key.SubGroupId1,
Name = g2.Key.SubGroupName1,
SubGroup2 = g2.Select(g => new
{
Id = g.Key.SubGroupId2,
Name = g.Key.SubGroupName2,
Items = g.Select(x => new
{
x.StockId,
x.StockName,
x.Prices,
x.ScreenNumber,
}),
}),
}),
};
The idea is to start off with the most specific grouping first, then one-by-one group the groups by the next layer, and so on.
SubGroup2 = g.GroupBy(x => new { x.SubGroupID2, x.SubGroupName2 })
You are grouping g instead of cg.
I suggest structuring your code a bit, which would help avoiding this kind of mistake.

using linq to discover a duplicate variable inside an object in a list, then use another variable in said object which contains the duplicate objectId

i'm new to linq and i've tried this function which should check for duplicates. what i want to do is to check through my list of buildingobjects to check if any buildingobject contains an objectID identical to another buildingObject in the list. finally i want to use the GUID of the buildingObject which had a duplicate, and print it to my log for the user to see.
public class FMBuildingObject
{
public Int64 ObjectId { get; set; }
public string GUID { get; set; }
}
the building object is bigger, but this is the values i'm using.
next i'm trying to use the buildingobjects, find duplicates and then print the GUID out. however i can't figure out how to access that GUID.
var query =
buildingObjects
.GroupBy(x => new { x })
.Select(group => new { Name = group.Key, Count = group.Count() })
.OrderByDescending(x => x.Count);
foreach (var q in query)
{
var updateLog = new LogServiceModel()
{
LogType = LogTypes.Warning, Parameters = { {?GUID?}}, LogTitle = "You have used two different classifications on a same Buildingobject in {0}. "
};
logService.Create(updateLog);
}
This will return a List<string> containing the GUID's of the objects which has duplicate ObjectId's:
var result = buildingObjects
.GroupBy(b => b.ObjectId)
.Where(g => g.Count() > 1)
.SelectMany(g => g.Select(b => b.GUID)).ToList();
You can get duplicate objects by:
var query = buildingObjects.GroupBy(x => new { x.ObjectId, x.GUID })
.Where(g => g.Count() > 1)
.Select(group => new { Name = group.Key, group.Key.GUID, group.Key.ObjectId }); //I don't know what is Name and why it's equal to Key
Then inside your foreach loop:
foreach (var q in query)
{
var updateLog = new LogServiceModel()
{
LogType = LogTypes.Warning, Parameters = q.GUID, LogTitle = $"You have used two different classifications on a same Buildingobject, Id: {q.ObjectId}. "
};
logService.Create(updateLog);
}
Or you can simply do:
var query = buildingObjects.GroupBy(x => new { x.ObjectId, x.GUID })
.Where(g => g.Count() > 1)
.Select(group => new LogServiceModel()
{
LogType = LogTypes.Warning,
Parameters = group.Key.GUID,
LogTitle = $"You have used two different classifications on a same Buildingobject, Id: {group.Key.ObjectId}."
});

Group By Multiple Columns

How can I do GroupBy multiple columns in LINQ
Something similar to this in SQL:
SELECT * FROM <TableName> GROUP BY <Column1>,<Column2>
How can I convert this to LINQ:
QuantityBreakdown
(
MaterialID int,
ProductID int,
Quantity float
)
INSERT INTO #QuantityBreakdown (MaterialID, ProductID, Quantity)
SELECT MaterialID, ProductID, SUM(Quantity)
FROM #Transactions
GROUP BY MaterialID, ProductID
Use an anonymous type.
Eg
group x by new { x.Column1, x.Column2 }
Procedural sample:
.GroupBy(x => new { x.Column1, x.Column2 })
Ok got this as:
var query = (from t in Transactions
group t by new {t.MaterialID, t.ProductID}
into grp
select new
{
grp.Key.MaterialID,
grp.Key.ProductID,
Quantity = grp.Sum(t => t.Quantity)
}).ToList();
For Group By Multiple Columns, Try this instead...
GroupBy(x=> new { x.Column1, x.Column2 }, (key, group) => new
{
Key1 = key.Column1,
Key2 = key.Column2,
Result = group.ToList()
});
Same way you can add Column3, Column4 etc.
Since C# 7 you can also use value tuples:
group x by (x.Column1, x.Column2)
or
.GroupBy(x => (x.Column1, x.Column2))
C# 7.1 or greater using Tuples and Inferred tuple element names (currently it works only with linq to objects and it is not supported when expression trees are required e.g. someIQueryable.GroupBy(...). Github issue):
// declarative query syntax
var result =
from x in inMemoryTable
group x by (x.Column1, x.Column2) into g
select (g.Key.Column1, g.Key.Column2, QuantitySum: g.Sum(x => x.Quantity));
// or method syntax
var result2 = inMemoryTable.GroupBy(x => (x.Column1, x.Column2))
.Select(g => (g.Key.Column1, g.Key.Column2, QuantitySum: g.Sum(x => x.Quantity)));
C# 3 or greater using anonymous types:
// declarative query syntax
var result3 =
from x in table
group x by new { x.Column1, x.Column2 } into g
select new { g.Key.Column1, g.Key.Column2, QuantitySum = g.Sum(x => x.Quantity) };
// or method syntax
var result4 = table.GroupBy(x => new { x.Column1, x.Column2 })
.Select(g =>
new { g.Key.Column1, g.Key.Column2 , QuantitySum= g.Sum(x => x.Quantity) });
You can also use a Tuple<> for a strongly-typed grouping.
from grouping in list.GroupBy(x => new Tuple<string,string,string>(x.Person.LastName,x.Person.FirstName,x.Person.MiddleName))
select new SummaryItem
{
LastName = grouping.Key.Item1,
FirstName = grouping.Key.Item2,
MiddleName = grouping.Key.Item3,
DayCount = grouping.Count(),
AmountBilled = grouping.Sum(x => x.Rate),
}
Though this question is asking about group by class properties, if you want to group by multiple columns against a ADO object (like a DataTable), you have to assign your "new" items to variables:
EnumerableRowCollection<DataRow> ClientProfiles = CurrentProfiles.AsEnumerable()
.Where(x => CheckProfileTypes.Contains(x.Field<object>(ProfileTypeField).ToString()));
// do other stuff, then check for dups...
var Dups = ClientProfiles.AsParallel()
.GroupBy(x => new { InterfaceID = x.Field<object>(InterfaceField).ToString(), ProfileType = x.Field<object>(ProfileTypeField).ToString() })
.Where(z => z.Count() > 1)
.Select(z => z);
var Results= query.GroupBy(f => new { /* add members here */ });
A thing to note is that you need to send in an object for Lambda expressions and can't use an instance for a class.
Example:
public class Key
{
public string Prop1 { get; set; }
public string Prop2 { get; set; }
}
This will compile but will generate one key per cycle.
var groupedCycles = cycles.GroupBy(x => new Key
{
Prop1 = x.Column1,
Prop2 = x.Column2
})
If you wan't to name the key properties and then retreive them you can do it like this instead. This will GroupBy correctly and give you the key properties.
var groupedCycles = cycles.GroupBy(x => new
{
Prop1 = x.Column1,
Prop2= x.Column2
})
foreach (var groupedCycle in groupedCycles)
{
var key = new Key();
key.Prop1 = groupedCycle.Key.Prop1;
key.Prop2 = groupedCycle.Key.Prop2;
}
group x by new { x.Col, x.Col}
.GroupBy(x => (x.MaterialID, x.ProductID))
.GroupBy(x => x.Column1 + " " + x.Column2)
For VB and anonymous/lambda:
query.GroupBy(Function(x) New With {Key x.Field1, Key x.Field2, Key x.FieldN })

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