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I have an "opportunity" to work with LLBLGEN ORM, I have already spent two days on trying to query a JOIN command over several tables (without any success). Now at home I also trying to understand the logic of this ORM on smaller project (ie. Recruiter->JobOffer->Candidate).
And yet this piece of software is whooping my ass. So I went to the documentation and tried to get some knowledge from with, unfortunately without any success.
So I'm asking here, is there somewhere a tutorial for real dummies that easily explains the very fundamental usage of LLBLGEN :
where (ok, I've got this covered already)
join
multi join
Maybe someone has some code and db, that can share and illustrates this concepts done in friendly way.
Thanks!
Joins are expressed using a Relation object. If you want to retreive all Candidates of a specific Recruiter you could write something like this, asuming the tables have the correct Foreign Key relations
var list = new CandidateCollection();
var relationsToUse = new RelationCollection
{
JobOfferEntity.Relations.CandidateEntityUsingCandidateId,
RecruiterEntity.Relations.JobOfferEntityUsingJobOfferId
};
var filter = new PredicateExpression
{
new FieldCompareValuePredicate(RecruiterFields.Id, ComparisonOperator.Equal, recruiterId)
};
list.GetMulti(filter, relationsToUse);
There are some central concepts in LLBLGen which I'll explain with samples in code and equivalent Sql query.
Predicate, IPredicate and PredicateExpression: These are translated to Where clauses. You can think of PredicateExpression as a complex predicate that's made of several predicates joined with AND and OR.
Note: Treat the code snippets below as pseudo code as I don't have access to LLBLGen right now.
var pred = CustomerFields.Id == 5;
new DataAccessAdapter.FetchEntityCollection(coll, new RelationPredicateBucket(pred));
This will roughly translate to:
SELECT * FROM Customer WHERE Id = 5
You can combine several predicates using PredicateExpression:
var predEx = new PredicateExpression();
predEx.Add(CustomerFields.Id == 5);
predEx.AddWithOr(CustomerFields.Name == "X");
Is equivalent to:
SELECT * FROM Customer WHERE Id = 5 OR Name = 'X'
Relations: Relations represents the relations in your database. There's a Relations property in every Entity in generated code that contains every relation of that entity. For example if you have a Customer table that has a one-to-many relation with your Order table, the corresponding Entities will have a static Relations property that contains those relations:
CustomerEntity.Relations.OrderEntityUsingCustomerId;
OrderEntity.Relations.CustomerEntityUsingCustomerId;
You use these relations when you want to perform a join and return results based on the join. For example if you want to fetch all customers that have an order that's varlue is greater than 50000 you do this:
var pred = OrderFields.Value > 50000;
var rpb = new RelationPredicateBucket();
rpb.PredicateExpression.Add(pred);
rpb.Relations.Add(CustomerEntity.Relations.OrderEntityUsingCustomerId);//perform join
This will translate to:
SELECT C.* FROM Customer AS C JOIN Order AS O ON C.Id = O.CustomerId WHERE O.Value > 50000
For multiple joins you just add more relations, to get customer that have orders with values higher than 50000 that have an OrderDetail that's quantity is more than 1:
var pred = OrderFields.Value > 50000 & OrderDetailFields.Quantity > 1;
var rpb = new RelationPredicateBucket();
rpb.PredicateExpression.Add(pred);
rpb.Relations.Add(CustomerEntity.Relations.OrderEntityUsingCustomerId);//perform customer and order join
rpb.Relations.Add(OrderEntity.Relations.OrderDetailEntityUsingOrderId);//perform order and order detail join
Which produces this sql query:
SELECT C.* FROM Customer AS C JOIN Order AS O ON C.Id = O.CustomerId JOIN OrderDetail AS OD ON OD.OrderId = O.Id WHERE O.Value > 50000 AND OD.Quantity > 1
Related
I have two entities (EF 6) named Purchases and Packets. I am able to Join these two but not quite sure how do I count the Packets contained in the given Purchase. I have this SQL query to be converted to LINQ (Lambda expression preferred).
Thank you
SELECT
Pur.*,
Pac.Price,
(SELECT COUNT(ID) FROM Packets WHERE PurchaseID = Pur.ID) AS PacketCount
FROM
Purchases AS Pur
INNER JOIN
Packets AS Pac
ON
Pur.ID = Pac.PurchaseID
NOTE: I checked the answered Q's but none of them is addressing my issue.
I am no expert in LINQ (far from it) but I have done something similar. You say you have done the join already. If it is along the lines of:
var joinList = (from Item1 in Purchases
join Item2 in Packets
on Item1.Id equals Item2.PurchaseId
select new { Item1, Item2 }).ToList();
Then you can go:
var subList = joinList.Where(j => j.Item1.Id == myId).Select(s => { new s.Item1, s.Item2.Price, Count = joinList.Where(j => j.Item1.Id == myId).Count() }).ToList();
This will give you a List similar to the recordset returned by your SQL. Note that you will need to break out all the fields in Item1 (equivalent to Purchases.*). The alternative is to name them all in the Select (as s.Item2.Price).
HTH
I would like to query a DataTable that produces a DataTable that requires a subquery. I am having trouble finding an appropriate example.
This is the subquery in SQL that I would like to create:
SELECT *
FROM SectionDataTable
WHERE SectionDataTable.CourseID = (SELECT SectionDataTable.CourseID
FROM SectionDataTable
WHERE SectionDataTable.SectionID = iSectionID)
I have the SectionID, iSectionID and I would like to return all of the records in the Section table that has the CourseID of the iSectionID.
I can do this using 2 separate queries as shown below, but I think a subquery would be better.
string tstrFilter = createEqualFilterExpression("SectionID", strCriteria);
tdtFiltered = TableInfo.Select(tstrFilter).CopyToDataTable();
iSelectedCourseID = tdtFiltered.AsEnumerable().Select(id => id.Field<int>("CourseID")).FirstOrDefault();
tdtFiltered.Clear();
tstrFilter = createEqualFilterExpression("CourseID", iSelectedCourseID.ToString());
tdtFiltered = TableInfo.Select(tstrFilter).CopyToDataTable();
Although it doesn't answer your question directly, what you are trying to do is much better suited for an inner join:
SELECT *
FROM SectionDataTable S1
INNER JOIN SectionDataTable S2 ON S1.CourseID = S2.CourseID
WHERE S2.SectionID = iSectionID
This then could be modeled very similarily using linq:
var query = from s1 in SectionDataTable
join s2 in SectionDataTable
on s1.CourseID equals s2.CourseID
where s2.SectionID == iSectionID
select s1;
When working in LINQ you have to think of the things a bit differently. Though you can go as per the Miky's suggestion. But personally I would prefer to use the Navigational properties.
For example in your given example I can understand that you have at-least 2 tables,
Course Master
Section Master
One Section must contain a Course reference
Which means
One Course can be in multiple Sections
Now if I see these tables as entities in my model I would see navigational properties as,
Course.Sections //<- Sections is actually a collection
Section.Course //<- Course is an object
So the same query can be written as,
var lstSections = context.Sections.Where(s => s.Course.Sections.Any(c => c.SectionID == iSectionID)).ToList();
I think you main goal is, you are trying extract all the Sections where Courses are same as given Section's Courses.
This question already has an answer here:
What is meant by 'The specified LINQ expression contains references to queries that are associated with different contexts'
(1 answer)
Closed 8 years ago.
I am trying to join 3 tables using LINQ from 2 different SQL Servers (entities).
Error: The specified Linq expression contains references to queries that are associated with different contexts
var query = from a in EntityA.TableA
join p in EntityA.TableB
on a.PersonID equals p.PersonID
join m in EntityB.TableC
on Convert.ToInt32(a.SourceID) equals m.ID
where p.someID == "100000527"
select m.ID;
Please help me to resolve this.
Answer:
var query = from a in EntityA.TableA
join p in EntityA.TableB
on a.PersonID equals p.PersonID
where p.someID == "100000527"
select a.ID;
IQueryable<int> ID = null;
foreach (var item in query)
{
int sourceID= Convert.ToInt32(item);
ID = (from m in EntityB.TableC
where m.ID == sourceID
select m.ID).Distinct();
}
return ID;
Is this right approach?
You can only write Linq to SQL Queries on one database at a time.
If you want to join the data together, you will have to write the two queries separately, create anonymous type objects from them, then join them together using plain old Linq on objects.
I have the following LINQ query, that is returning the results that I expect, but it does not "feel" right.
Basically it is a left join. I need ALL records from the UserProfile table.
Then the LastWinnerDate is a single record from the winner table (possible multiple records) indicating the DateTime the last record was entered in that table for the user.
WinnerCount is the number of records for the user in the winner table (possible multiple records).
Video1 is basically a bool indicating there is, or is not a record for the user in the winner table matching on a third table Objective (should be 1 or 0 rows).
Quiz1 is same as Video 1 matching another record from Objective Table (should be 1 or 0 rows).
Video and Quiz is repeated 12 times because it is for a report to be displayed to a user listing all user records and indicate if they have met the objectives.
var objectiveIds = new List<int>();
objectiveIds.AddRange(GetObjectiveIds(objectiveName, false));
var q =
from up in MetaData.UserProfile
select new RankingDTO
{
UserId = up.UserID,
FirstName = up.FirstName,
LastName = up.LastName,
LastWinnerDate = (
from winner in MetaData.Winner
where objectiveIds.Contains(winner.ObjectiveID)
where winner.Active
where winner.UserID == up.UserID
orderby winner.CreatedOn descending
select winner.CreatedOn).First(),
WinnerCount = (
from winner in MetaData.Winner
where objectiveIds.Contains(winner.ObjectiveID)
where winner.Active
where winner.UserID == up.UserID
orderby winner.CreatedOn descending
select winner).Count(),
Video1 = (
from winner in MetaData.Winner
join o in MetaData.Objective on winner.ObjectiveID equals o.ObjectiveID
where o.ObjectiveNm == Constants.Promotions.SecVideo1
where winner.Active
where winner.UserID == up.UserID
select winner).Count(),
Quiz1 = (
from winner2 in MetaData.Winner
join o2 in MetaData.Objective on winner2.ObjectiveID equals o2.ObjectiveID
where o2.ObjectiveNm == Constants.Promotions.SecQuiz1
where winner2.Active
where winner2.UserID == up.UserID
select winner2).Count(),
};
You're repeating join winners table part several times. In order to avoid it you can break it into several consequent Selects. So instead of having one huge select, you can make two selects with lesser code. In your example I would first of all select winner2 variable before selecting other result properties:
var q1 =
from up in MetaData.UserProfile
select new {up,
winners = from winner in MetaData.Winner
where winner.Active
where winner.UserID == up.UserID
select winner};
var q = from upWinnerPair in q1
select new RankingDTO
{
UserId = upWinnerPair.up.UserID,
FirstName = upWinnerPair.up.FirstName,
LastName = upWinnerPair.up.LastName,
LastWinnerDate = /* Here you will have more simple and less repeatable code
using winners collection from "upWinnerPair.winners"*/
The query itself is pretty simple: just a main outer query and a series of subselects to retrieve actual column data. While it's not the most efficient means of querying the data you're after (joins and using windowing functions will likely get you better performance), it's the only real way to represent that query using either the query or expression syntax (windowing functions in SQL have no mapping in LINQ or the LINQ-supporting extension methods).
Note that you aren't doing any actual outer joins (left or right) in your code; you're creating subqueries to retrieve the column data. It might be worth looking at the actual SQL being generated by your query. You don't specify which ORM you're using (which would determine how to examine it client-side) or which database you're using (which would determine how to examine it server-side).
If you're using the ADO.NET Entity Framework, you can cast your query to an ObjectQuery and call ToTraceString().
If you're using SQL Server, you can use SQL Server Profiler (assuming you have access to it) to view the SQL being executed, or you can run a trace manually to do the same thing.
To perform an outer join in LINQ query syntax, do this:
Assuming we have two sources alpha and beta, each having a common Id property, you can select from alpha and perform a left join on beta in this way:
from a in alpha
join btemp in beta on a.Id equals btemp.Id into bleft
from b in bleft.DefaultIfEmpty()
select new { IdA = a.Id, IdB = b.Id }
Admittedly, the syntax is a little oblique. Nonetheless, it works and will be translated into something like this in SQL:
select
a.Id as IdA,
b.Id as Idb
from alpha a
left join beta b on a.Id = b.Id
It looks fine to me, though I could see why the multiple sub-queries could trigger inefficiency worries in the eyes of a coder.
Take a look at what SQL is produced though (I'm guessing you're running this against a database source from your saying "table" above), before you start worrying about that. The query providers can be pretty good at producing nice efficient SQL that in turn produces a good underlying database query, and if that's happening, then happy days (it will also give you another view on being sure of the correctness).
I am not sure if this can be done, but here's the scenario.
I want to turn this sql into linq:
SELECT * FROM Department d
INNER JOIN Employee e ON e.DepartmentID = d.DepartmentID
Department - Employee is 1 to many relationship.
I have created a custom object that I would like to populate the result into.
public class DepartmentSummary
{
public Department Department { get; set; }
public List<Employee> Employees {get; set;}
}
The Linq I came up with is
var result = from d in dba.Department
join e in dba.Employee d.DepartmentID equals e.DepartmentID into j1
select new DepartmentSummary
{
Department = d,
Employees = j1.ToList()
};
I tried it out and it's not working. Can anyone shed some light for me please? I would like to perform an inner join between Department and Employee. For each Department in the resultset, I would like to create one DepartmentSummary object which holds that department and a list of employees belonging to that department.
Does Linq provides an ad hoc solution for this or must I iterates through the result set and create a list of DepartmentSummary manually?
Thanks,
EDIT:
Looks like this works for me
var result = from d in dba.Department
join e in dba.Employee d.DepartmentID equals e.DepartmentID into j1
where j1.Count() > 0
select new DepartmentSummary
{
Department = d,
Employees = j1.ToList()
};
The thing is that you're not really taking one SQL and trying to create a Linq-query out of it.
If you were, you'd notice that your SQL query does not really produce one row per department, but it will repeat the department information for each employee in that department.
Now, an initial naive look would suggest you use a group-by clause, since that would allow you to split the data into individual groupings for each department, but groupings in SQL does not really give you a key+all-matching-rows type of result, rather it allows you to do aggregate calculations, like "for each department, how many employees do I have".
So, in order to do what you want, you need to basically do a normal join, which will give you each employee, coupled with the appropriate department information (ie. each employee will be linked to his/her department), and then you need to construct the rest of the data structure yourself.
Now, having said that, if you have the proper relationships set in your data context related classes, each department should already have some kind of property that contains all employees in that department, so perhaps the simple query is just "give me all departments", and then you can, for each department, retrieve the employees?
Of course, doing that would likely execute one SQL for each department, but in this case, you're back to "give me all employees with their department information" and you have to build code to handle the rest.
LINQ to SQL doesn't understand your ToList() call, but you might be able to select the sequence of joined elements and then use LINQ to Objects (via AsEnumerable()) to map to your DepartmentSummary object:
var qResult = from d in dba.Department
join e in dba.Employee d.DepartmentID equals e.DepartmentID into j1
select new
{
Department = d,
Employees = j1
};
var result = from d in qResult.AsEnumerable()
select new DepartmentSummary()
{
Department = d.Department,
Employees = e.Employees.ToList()
};
Sounds like you're looking to get around lazy loading?
DataLoadOptions dlo = new DataLoadOptions();
dlo.LoadWith<Department>(d => d.Employees);
using (var dba = new MyDataContext())
{
dba.LoadOptions = dlo;
var result = from d in dba.Department
select d;
}
Now, if you don't have a relationship defined between Department and Employees (the Linq2Sql designer will do this for you if you have database relationships setup) then you should look into doing that. It makes it all dramatically easier. In fact, you don't even need your campaign summary.
This problem is due to the nature of the query. When you join Department to Employee, you'll get back one record for every Employee. This means that your ToList() statement is expecting multiple employees per department, but due to the join, always getting one.
Change your query to
var result =
from d in dba.Department
select new tCampaignSummary
{
Department = d,
Employees = dba.Employee.Where(e => e.DepartmentID ==
d.DepartmentID).ToList()
};
I've tested this and it works.
What it does differently is selects only one record per Department (not per employee) then it gets the zero to many corresponding employees for each dept and converts them to a list.
Good luck!
EDIT
As requested, here is the generated SQL:
SELECT [t0].*, [t1].*
(
SELECT COUNT(*)
FROM [dbo].[Employee] AS [t2]
WHERE [t2].[DepartmentID] = [t0].[DepartmentID]
) AS [value]
FROM [dbo].[Department] AS [t0]
LEFT OUTER JOIN [dbo].[Employee] AS [t1]
ON [t1].[DepartmentID] = [t0].[DepartmentID]
ORDER BY [t0].[DepartmentID], [t1].[IndexID]
The only modification is that LINQ will not do [t0].*, instead it will enumerate each field. Since I had to guess at the fields, I left them out to make the SQL clearer.