Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/246#issuecomment-39129206
@pwendell Yeah Spark Streaming also has that problem. A streaming job may
contain many Spark jobs, so from a streaming user's point of view, our
breakdown of Spark jobs doesn't make much sense. But if you think about it,
jumping directly to stages is even lower level for streaming users, which is
why we are making a custom Streaming UI that links to the SparkUI. I could be
wrong but I think this issue is also common to Shark.
@kayousterhout Separating the two changes this way makes sense. I have one
question for (1): does cancelStage() just cancels the current stage, as the
name suggests? Or does it cancel all the jobs that depend on that stage?
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