Initially I had written this query using LINQ-to-SQL
var result = from w in PatternDataContext.Windows
join cf in PatternDataContext.ControlFocus on w.WindowId equals cf.WindowId
join p in PatternDataContext.Patterns on cf.CFId equals p.CFId
join r in ResultDataContext.Results on p.PatternId equals r.PatternId
join fi in ResultDataContext.IclFileInfos on r.IclFileId equals fi.IclFileId
join sp in sessionProfileDataContext.ServerProfiles on fi.ServerProfileId equals sp.ProfileId
join u in infrastructure.Users on sp.UserId equals u.Id
where w.Process.Equals(processName)
select u.DistributedAppId;
And when I executed it, and saw result
in the QuickWatch.., it showed this message:
the query contains references to items defined on a different data context
On googling, I found this topic at Stackoverflow itself, where I learned simulating cross context joins and as suggested there, I changed my query a bit to this:
var result = from w in PatternDataContext.Windows
join cf in PatternDataContext.ControlFocus on w.WindowId equals cf.WindowId
join p in PatternDataContext.Patterns on cf.CFId equals p.CFId
join r in SimulateJoinResults() on p.PatternId equals r.PatternId
join fi in SimulateJoinIclFileInfos() on r.IclFileId equals fi.IclFileId
join sp in SimulateJoinServerProfiles() on fi.ServerProfileId equals sp.ProfileId
join u in SimulateJoinUsers() on sp.UserId equals u.Id
where w.Process.Equals(processName)
select u.DistributedAppId;
This query is using these SimulateXyz methods:
private static IQueryable<Result> SimulateJoinResults()
{
return from r in SessionDataProvider.Instance.ResultDataContext.Results select r;
}
private static IQueryable<IclFileInfo> SimulateJoinIclFileInfos()
{
return from f in SessionDataProvider.Instance.ResultDataContext.IclFileInfos select f;
}
private static IQueryable<ServerProfile> SimulateJoinServerProfiles()
{
return from sp in sessionProfileDataContext.ServerProfiles select sp;
}
private static IQueryable<User> SimulateJoinUsers()
{
return from u in infrastructureDataContext.Users select u;
}
But even this approach didn't solve the problem. I'm still getting this message in QuickWatch...:
the query contains references to items defined on a different data context
Any solution for this problem? Along with the solution, I would also want to know why the problem still exists, and how exactly the new solution removes it, so that from next time I could solve such problems myself. I'm new to LINQ, by the way.
In a LINQ query expression, join operations are performed on object collections. Object collections cannot be "joined" in exactly the same way as two relational tables. In LINQ, explicit join clauses are only required when two source sequences are not tied by any relationship.
LINQ Join queries. As we know the JOIN clause is very useful when merging more than two table or object data into a single unit. It combines different source elements into one and also creates the relationship between them. Using the join, you can grab the data based on your conditions.
Join and GroupJoin are joining operators. Join is like inner join of SQL. It returns a new collection that contains common elements from two collections whosh keys matches. Join operates on two sequences inner sequence and outer sequence and produces a result sequence.
I've had to do this before, and there are two ways to do it.
The first is to move all the servers into a single context. You do this by pointing LINQ-to-SQL to a single server, then, in that server, create linked servers to all the other servers. Then you just create views for any tables you're interested from the other servers, and add those views to your context.
The second is to manually do the joins yourself, by pulling in data from one context, and using just the properties you need to join into another context. For example,
int[] patternIds = SessionDataProvider.Instance.ResultDataContext.Results.Select(o => o.patternId).ToArray();
var results = from p in PatternDataContext.Patterns
where patternIds.Contains(p.PatternId)
select p;
Though the first is easier to work with, it does have its share of problems. The problem is that you're relying on SQL Server to be performant with linked servers, something it is notoriously bad at. For example, consider this query:
var results = from p in DataContext.Patterns
join r in DataContext.LinkedServerResults on p.PatternId equals r.PatternId
where r.userId = 10;
When you enumerate this query, the following will occur (let's call the normal and linked servers MyServer
and MyLinkedServer
, respectively)
MyServer
asks MyLinkedServer
for the ResultsMyLinkedServer
sends the Results back to MyServer
MyServer
takes those Results, joins them on the Patterns table, and returns only the ones with Results.userId = 10So now the question is: When is the filtering done - on MyServer
or MyLinkedServer
? In my experience, for such a simple query, it will usually be done on MyLinkedServer
. However, once the query gets more complicated, you'll suddenly find that MyServer
is requesting the entire Results table from MyLinkedServer
and doing the filtering after the join! This wastes bandwidth, and, if the Results tables is large enough, could turn a 50ms query into a 50 second query!
You could fix unperformant cross-server joins using stored procedures, but if you do a lot of complex cross-server joins, you may end up writing stored procedures for most of your queries, which is a lot of work and defeats part of the purpose of using L2SQL in the first place (not having to write a lot of SQL).
In comparison, the following code would always perform the filtering on the server containing the Results table:
int[] patternIds = (from r in SessionDataProvider.Instance.ResultDataContext.Results
where r.userId = 10
select r.PatternId).ToArray();
var results = from p in PatternDataContext.Patterns
where patternIds.Contains(p.PatternId)
select p;
Which is best for your situation is up to your best judgement.
Note that there is a third potential solution which I did not mention, as it is not really a programmer-solution: you could ask your server admins to set up a replication task to copy the necessary data from MyLinkedServer
to MyServer
once a day/week/month. This is only an option if:
MyLinkedServer
MyLinkedServer
MyLinkedServers
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