object ScalableTaskCompletion
Provides a task completion listeners in Spark that you can remove if needed to help with scaling. Spark guarantees LIFO order to the callbacks, but we do not. If you need that kind of a guarantee then use the Spark task APIs directly.
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def
onTaskCompletion(f: (TaskContext) ⇒ Unit): TaskCompletionCallbackHandle
When the current task completes call the given function
When the current task completes call the given function
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a handle that can be used to remove the callback
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def
onTaskCompletion(f: ⇒ Unit): TaskCompletionCallbackHandle
When the current task completes call the given function.
When the current task completes call the given function.
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a handle that can be used to remove the callback
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def
onTaskCompletion(tc: TaskContext, f: (TaskContext) ⇒ Unit): TaskCompletionCallbackHandle
When the passed in task context completes, call the given function.
When the passed in task context completes, call the given function.
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a handle that can be used to remove the callback
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def
onTaskCompletion(tc: TaskContext)(f: ⇒ Unit): TaskCompletionCallbackHandle
When the passed in task context completes, call the given function
When the passed in task context completes, call the given function
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a handle that can be used to remove the callback
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def
reset(): Unit
For testing only.
For testing only. This resets the state in case a test was using mocks and we didn't get the callbacks we expected to clean things up. Any callbacks registered will be called, if needed and then removed.
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