Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/13321#issuecomment-222018315
thanks for finding this bug!
Here is my idea: if bucket columns are not read, why do we even scan the
datasource in bucketing way? We can't get any benefit from bucketing for this
kind of query. We should add a check that, we only enable bucketing when the
columns going to be read include all bucket columns. What do you think?
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