Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/7051#issuecomment-116875310
@JoshRosen and I discussed this offline. So apparently this feature has
been broken for a long time. Since recently, each Spark executor actually gets
its own unique directory so a shared cache doesn't even make sense anymore. The
proposal is just to remove this feature since it (1) doesn't work, (2) is very
complex, and (3) there is no way to fix it given the fundamental executor temp
dir constraints.
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