Hi, below line I am trying to extract only person whose HRN are matching but who are not matching those also are coming

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existingCostShare.Costshare = existingCostShare.Costshare.Where(c => result.Personnel.All(p => c.BaseCostShareProjectPerson?.Hrn == p.BasePerson?.Hrn || c.BaseCostShareTbdPerson?.Hrn == p.BasePersonnelTbdRole?.Hrn));

What I have tried:

existingCostShare.Costshare = existingCostShare.Costshare.Where(c => result.Personnel.All(p => c.BaseCostShareProjectPerson?.Hrn == p.BasePerson?.Hrn || c.BaseCostShareTbdPerson?.Hrn == p.BasePersonnelTbdRole?.Hrn));

Posted 22-Jan-23 2:26am

Komal 99

Updated 22-Jan-23 2:42am

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0x01AA 22-Jan-23 8:58am

What boolean value you would expect if e.g. for c.BaseCostShareProjectPerson?.Hrn == p.BasePerson?.Hrn the left or the right hand side or both is null?

To be more precise, what do you expect what the results should be
1. undefined == defined
2. undefined == undefined

And moreover, what should happen when concatenating such results with e.g. or, what should be the results for ...
1. undefined or defined
2. undefined or undefined

Richard Deeming 23-Jan-23 6:04am

One of the controversial decisions that Microsoft took when nullable types were first introduced is that, unlike SQL, null == null returns true, and null == (not null) returns false. There is no three-valued logic around null comparisons.

But that might be the cause of the problem: if p.BasePerson?.Hrn is null, then the query will return all records where c.BaseCostShareProjectPerson?.Hrn is null; and similarly for p.BasePersonnelTbdRole?.Hrn and c.BaseCostShareTbdPerson?.Hrn.

But as Griff said, without access to the data, we can only guess.

0x01AA 23-Jan-23 6:59am

Thank you very much for this explanation. Appreciated very much.

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OriginalGriff · Answer 1 · 2023-01-22T02:42:00

Without your database there isn't a lot we can do: it's not obvious without data what you are expecting or getting.

So start by looking at your input data and your output results - identify the elements you don't want and look at the original data to find out what they have in common. Then use that to look at what data was not included and what should have been: why were those rows included when they should not have been?

When you understand that, you can look at writing a query to get just the data you do want - but until then you are just guessing and hoping it will work.

Sorry, but we can't do any of that for you!