Merge pull request #321 from kayousterhout/ui_kill_fix. Closes #321.

Inform DAG scheduler about all started/finished tasks.

Previously, the DAG scheduler was not always informed
when tasks started and finished. The simplest example here
is for speculated tasks: the DAGScheduler was only told about
the first attempt of a task, meaning that SparkListeners were
also not told about multiple task attempts, so users can't see
what's going on with speculation in the UI.  The DAGScheduler
also wasn't always told about finished tasks, so in the UI, some
tasks will never be shown as finished (this occurs, for example,
if a task set gets killed).

The other problem is that the fairness accounting was wrong
-- the number of running tasks in a pool was decreased when a
task set was considered done, even if all of its tasks hadn't
yet finished.

Author: Kay Ousterhout <kayousterhout@gmail.com>

== Merge branch commits ==

commit c8d547d0f7a17f5a193bef05f5872b9f475675c5
Author: Kay Ousterhout <kayousterhout@gmail.com>
Date:   Wed Jan 15 16:47:33 2014 -0800

    Addressed Reynold's review comments.

    Always use a TaskEndReason (remove the option), and explicitly
    signal when we don't know the reason. Also, always tell
    DAGScheduler (and associated listeners) about started tasks, even
    when they're speculated.

commit 3fee1e2e3c06b975ff7f95d595448f38cce97a04
Author: Kay Ousterhout <kayousterhout@gmail.com>
Date:   Wed Jan 8 22:58:13 2014 -0800

    Fixed broken test and improved logging

commit ff12fcaa2567c5d02b75a1d5db35687225bcd46f
Author: Kay Ousterhout <kayousterhout@gmail.com>
Date:   Sun Dec 29 21:08:20 2013 -0800

    Inform DAG scheduler about all finished tasks.

    Previously, the DAG scheduler was not always informed
    when tasks finished. For example, when a task set was
    aborted, the DAG scheduler was never told when the tasks
    in that task set finished. The DAG scheduler was also
    never told about the completion of speculated tasks.
    This led to confusion with SparkListeners because information
    about the completion of those tasks was never passed on to
    the listeners (so in the UI, for example, some tasks will never
    be shown as finished).

    The other problem is that the fairness accounting was wrong
    -- the number of running tasks in a pool was decreased when a
    task set was considered done, even if all of its tasks hadn't
    yet finished.