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From Andrus Adamchik <>
Subject Re: DataContext select concurrency
Date Mon, 04 Nov 2013 07:53:48 GMT
I am actually considering a read-only case here. So no modifications.

If the objects need to be modified, they have to be transferred to a peer ObjectContext using
'localObject'. Which sorta makes sense even now - contexts with local cache are often shared
and hence de-facto have to be read-only, and contexts that track modifications are user- or
request- or method- scoped.


On Nov 4, 2013, at 10:42 AM, Aristedes Maniatis <> wrote:

> On 26/10/2013 3:09am, Andrus Adamchik wrote:
>> 2. Queue based approach… Place each query result merge operation in an operation
queue for a given DataContext. Polling end of the queue will categorize the operations by
"affinity", and assign each op to a worker thread, selected from a thread pool based on the
above "affinity". Ops that may potentially update the same objects are assigned to the same
worker and are processed serially. Ops that have no chance of creating conflict between each
other are assigned to separate workers and are processed in parallel. 
> This queue needs to keep both SELECT and modify operations in some sort of order? So
let's imagine you get a queue like this:
> 1. select table A
> 2. select table B
> 3. select table A
> 4. modify table B
> 5. select table B
> 6. select table A
> Is the idea here that you would dispatch 1,2,3,6 to three worker threads to be executed
in parallel. But then 4 would be queued behind 2. And 5 would also wait until 4 was complete.
> Is that the idea?
> I can see some situations where this would result in worse behaviour than we have now.
If operation 1 and 3 were the same query, then today we get to take advantage of a query cache.
> Am I getting the general idea right?
> Ari
> -- 
> -------------------------->
> Aristedes Maniatis
> GPG fingerprint CBFB 84B4 738D 4E87 5E5C  5EFA EF6A 7D2E 3E49 102A

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