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From marmbrus <>
Subject [GitHub] spark pull request: [SPARK-7158] [SQL] Fix bug of cached data cann...
Date Tue, 12 May 2015 18:13:59 GMT
Github user marmbrus commented on the pull request:
    Really I think the most confusing part of this is that calling `.cache()` forces the materialization
of the queryExecution.  If we instead build a new `QueryExecution` when creating the in-memory
cache then the behavior is a little more straight forward.  Specifically, the contract will
be that caching only applies to DataFrames that are materialized after the data has been cached.
 Early materialization will result in not using the cache.

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