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Asked: May 11, 20262026-05-11T14:21:01+00:00 2026-05-11T14:21:01+00:00

Is it possible in SubSonic to make a query like this SELECT * FROM

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Is it possible in SubSonic to make a query like this

SELECT * FROM [customer]  LEFT OUTER JOIN [orders] ON [customer].[customerid] = [orders].[customerid]  AND [orders].[deptid] = 2 

I tried this in with the following SubSonic (2.1) code :

SqlQuery q = DB.Select().From<Customer>()     .LeftOuterJoin(orders.customerid, customer.customerid)     .AndExpression(orders.deptid).IsEqualTo(2); 

When i look in SQL profiler what query has been generated, it is :

SELECT * FROM [customer]  LEFT OUTER JOIN [orders] ON [customer].[customerid] = [orders].[customerid]  WHERE [orders].[deptid] = 2 

The key is the difference in the AND [orders].[deptid] = 2 and the WHERE [orders].[deptid] = 2, which off course will result in 2 different resultsets.

Is this something i can do with SubSonic at all or is the SubSonic query i made not correct?

Thanks for any help!!

Edit : For example i have 2 customers, 1 has several orders and the second customer has none. An example of the data with only the join (SELECT customerid, orderid, deptid FROM [customer] LEFT OUTER JOIN [orders] ON [customer].[customerid] = [orders].[customerid]) will return this :

row A : customerid 1, orderid 1, deptid 2

row B : customerid 1, orderid 2, deptid 1

row C : customerid 2, orderid NULL, deptid NULL

The SQL with the AND statement will return row A and C. I believe this is because the AND is evaluated during the join process.

The SQL with the WHERE statement will only return row A because the WHERE is evaluated after the join and then only row A has deptid 2.

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  1. 2026-05-11T14:21:01+00:00Added an answer on May 11, 2026 at 2:21 pm

    The key is the difference in the AND [orders].[deptid] = 2 and the WHERE [orders].[deptid] = 2, which off course will result in 2 different resultsets.

    Both will return the same resultset. There may be some performance difference, but i dont thinks, so. as modern database, optimize the query better.

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