Github user cloud-fan commented on the issue:
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thanks, merging to master!
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@cloud-fan merged with the latest master and addressed your comment for
indent
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I will rebase this next a few hours.
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retest this please
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LGTM, pending jenkins
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@cloud-fan could you please review this?
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ping @cloud-fan
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@michal-databricks Thank you for your review and comments.
ping @cloud-fan
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I don't fully understand the big picture here, but I am assuming the goal
is to have more efficient access to the data stored in compressible spark
columnar cache.
Either way this
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ping @cloud-fan & @michal-databricks
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@michal-databricks do you have any thoughts?
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@cloud-fan as you proposed before, we will first work for reading table
cache that are frequently executed.
Then, we will work for optimizing columnar table cache building in other
PRs.
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cc @michal-databricks any thoughts on this?
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Github user cloud-fan commented on the issue:
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LGTM, I think eventually we should simplify the columnar cache module and
codegen most of it to reduce code duplication.
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@cloud-fan Could you please review this again?
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ping @cloud-fan
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@cloud-fan Resolved conflict, could you please review?
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ping @cloud-fan
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@cloud-fan could you please review this again?
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@cloud-fan I updated this implementation by using `ColumnVector`, as we
discussed. I would appreciate it if you could discuss two implementations
([on-demand
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