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https://issues.apache.org/jira/browse/DRILL-2502?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jacques Nadeau updated DRILL-2502:
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Fix Version/s: (was: 0.9.0)
0.8.0
> Improve code safety by providing a generic event delivery mechanism that
> supports queueing
> ------------------------------------------------------------------------------------------
>
> Key: DRILL-2502
> URL: https://issues.apache.org/jira/browse/DRILL-2502
> Project: Apache Drill
> Issue Type: Bug
> Components: Execution - Flow
> Reporter: Chris Westin
> Assignee: Jacques Nadeau
> Fix For: 0.8.0
>
> Attachments: DRILL-2502.1.patch.txt
>
>
> While working on DRILL-2245, I ran into problems because
> Foreman.moveToState() can be called recursively. Being synchronized doesn't
> prevent the same thread from calling back into this. When this happens, state
> transitions are either dropped or broken depending on when this happens. This
> event really needs to be handled atomically, but when
> queryContext.cancelExecutingFragments() is called, the completion of the
> cancellations results in QueryManager.fragmentDone() being called, and it
> indiscriminately sends the COMPLETED state, even though we may be in the
> middle of handling a move to FAILED or CANCELLATION_REQUESTED. Unless the
> target state is first recorded before any possible recursive call happens,
> the recursive transition is recorded, and the second transition doesn't
> result in any message being sent to the user -- the client hangs.
> It's difficult to reason about when its safe for this kind of recursive call
> to happen, and even more difficult to avoid inadvertently introducing these.
> Problems happen when the delivery of an event to a listener causes cascaded
> events that eventually deliver to the same listener.
> In order to avoid this, we should create (and use) a generic class that can
> receive such events. If nothing is happening when one is received, it is
> processed immediately, in line. If an event is received when we're in the
> middle of processing another event, the newly received one is queued. When
> the current event processing is completed, we then go through any queued
> events, and process them one by one. We continue in this way until there are
> no more events left, then return. This mechanism would improve code safety by
> preventing the delivery of events while in the middle of processing other
> events by the same handler.
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