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David Li commented on PARQUET-1698:
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Probably there are a few layers:
* The file I/O layer should
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Wes McKinney commented on PARQUET-1698:
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Currently in the C++ library, IO calls are issued
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Jacques Nadeau commented on PARQUET-1698:
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In our internal work we actually separate this out
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Wes McKinney commented on PARQUET-1698:
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I think the pre-buffering should probably be implemented
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Wes McKinney moved ARROW-7376 to PARQUET-1766:
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Component/s: (was: C++)
parquet-cpp
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Deepak Majeti commented on PARQUET-1698:
How about adding API to the _RowGroupReader_ that will
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Deepak Majeti edited comment on PARQUET-1698 at 1/13/20 9:36 PM:
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How
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David Li commented on PARQUET-1698:
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[~wesm] agreed, this optimization can be generic over the
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Wes McKinney commented on PARQUET-1698:
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[~lidavidm] I missed the part about "wide datasets".
I
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ASF GitHub Bot commented on PARQUET-1765:
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gszadovszky commented on pull request #747:
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ASF GitHub Bot updated PARQUET-1765:
Labels: pull-request-available (was: )
> Invalid filteredRowCount in
Gabor Szadovszky created PARQUET-1765:
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Summary: Invalid filteredRowCount in InternalParquetRecordReader
Key: PARQUET-1765
URL: https://issues.apache.org/jira/browse/PARQUET-1765
Project: Parquet
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David Mollitor commented on PARQUET-1758:
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I think the general idea is that almost all logging
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Gabor Szadovszky commented on PARQUET-1745:
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The problem here is Spark sets a projection to
Hi All,
Current parquet filters handles missing columns (that are not in the file)
as if their values were all null. This is completely logical. The question
is how shall parquet filtering handle the columns that are in the file
(with real values) but missing in the projection.
I've thought
Dear All,
With three +1 binding votes and an additional +1 vote this release vote
passes.
Thank you all who have tested this RC.
I'll finalize the release today.
Cheers,
Gabor
On Thu, Jan 9, 2020 at 6:13 PM Junjie Chen wrote:
> +1 (non-binding)
>
> On Wed, Jan 8, 2020 at 5:24 PM Gabor
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