Github user asfgit closed the pull request at:
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Github user rxin commented on the pull request:
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Going to merge this. Thanks.
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+ * Lice
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Github user nongli commented on the pull request:
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@maropu I agree. We should probably think about updating the data sources
API to support decoding in batch. I think starting with just parquet will give
us a better sens
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Github user maropu commented on the pull request:
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@nongli Great work. One question; we need not have common APIs to realize
batched de-serialization for other data sources like ORC? I know we currently
have no specializ
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@velvia we don't need plan changes to enable this. As soon as we complete
the implementation so this can read all parquet files, the reader will just
always decode this
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@nongli this is awesome. I suppose changes to the logical/physical query
planner are coming also? Is that going to be in a separate PR?
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GitHub user nongli opened a pull request:
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[SPARK-12644][SQL] Update parquet reader to be vectorized.
This inlines a few of the Parquet decoders and adds vectorized APIs to
support decoding in batch.
There are a few particulars in the Pa
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