Antoine Pitrou created ARROW-7669:
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Summary: [CI] [C++] Turn optimizations off on AppVeyor
Key: ARROW-7669
URL: https://issues.apache.org/jira/browse/ARROW-7669
Project: Apache Arrow
Issue Ty
Hi Bryan,
For the case that the column is no timestamp and was not modified: I don't
think it will take copies of the full dataframe by assigning columns in a
loop like that. But it is still doing work (it will copy data for that
column into the array holding those data for 2D blocks), and which c
Hello,
I created this ticket to discuss possible improvements of the new PyArrow
FileSystem API
https://issues.apache.org/jira/browse/ARROW-7584
As of today there seem to be only two popular projects to have an agnostic
FileSystem API that can handle S3 & HDFS from Python:
- PyArrow via https:
Krisztian Szucs created ARROW-7670:
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Summary: [Python][Dataset] Better ergonomics for the filter
expressions
Key: ARROW-7670
URL: https://issues.apache.org/jira/browse/ARROW-7670
Project: Apache Arro
By filter, you mean a filter expression, or a selection vector/bitmap?
On Thu, Jan 23, 2020 at 11:38 PM Micah Kornfield wrote:
>
> One of the things that I think got overlooked in the conversation on having
> a slice offset in the C API was a suggestion from Jacques of perhaps
> generalizing the
Krisztian Szucs created ARROW-7671:
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Summary: [Python][Dataset] Add bindings for the DatasetFactory
Key: ARROW-7671
URL: https://issues.apache.org/jira/browse/ARROW-7671
Project: Apache Arrow
Arrow Build Report for Job nightly-2020-01-24-0
All tasks:
https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-01-24-0
Failed Tasks:
- conda-osx-clang-py38:
URL:
https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-01-24-0-azure-conda-osx-clang-py38
- gand
daehee jang created ARROW-7672:
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Summary: NULL pointer dereference bug
Key: ARROW-7672
URL: https://issues.apache.org/jira/browse/ARROW-7672
Project: Apache Arrow
Issue Type: Bug
Enviro
Francois Saint-Jacques created ARROW-7673:
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Summary: [C++][Dataset] Revisit File discovery failure mode
Key: ARROW-7673
URL: https://issues.apache.org/jira/browse/ARROW-7673
Project: Apache Arr
Brian Hulette created ARROW-7674:
Summary: Add helpful message for captcha challenge in
merge_arrow_pr.py
Key: ARROW-7674
URL: https://issues.apache.org/jira/browse/ARROW-7674
Project: Apache Arrow
Thanks Micah, I will see if I can find some time to explore this further.
On Thu, Jan 23, 2020 at 10:56 PM Micah Kornfield
wrote:
> Hi John,
> Not Wes, but my thoughts on this are as follows:
>
> 1. Alternate bit/byte arrangements can also be useful for processing [1] in
> addition to compressio
Neal Richardson created ARROW-7675:
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Summary: [R][CI] Move Windows CI from Appveyor to GHA
Key: ARROW-7675
URL: https://issues.apache.org/jira/browse/ARROW-7675
Project: Apache Arrow
Issue T
What about returning null for a null list? It looks like now the function
returns a primitive boolean, so I guess that would be a substantial change,
but null seems more correct to me.
On Thu, Jan 23, 2020, 21:38 Micah Kornfield wrote:
> I would vote for treating nulls as empty.
>
> On Fri, Jan
Thanks Joris for clearing that up! It's correct that pyspark will allow the
user to do operations on the resulting DataFrame, so it doesn't sound like
I should set `split_blocks=True` in the conversion. You're right that the
unnecessary assignments can be easily avoided if not timestamps, so that
w
Krisztian Szucs created ARROW-7676:
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Summary: [Packaging][Python] Ensure that the static libraries are
not built in the wheel scripts
Key: ARROW-7676
URL: https://issues.apache.org/jira/browse/ARROW-7676
Joris Van den Bossche created ARROW-7677:
Summary: [C++] Handle Windows file paths with backslashes in
GetTargetStats
Key: ARROW-7677
URL: https://issues.apache.org/jira/browse/ARROW-7677
Proj
Joshua Pedrick created ARROW-7678:
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Summary: [C++][Parquet] setting TZ= in environment on Linux causes
broken parquet
Key: ARROW-7678
URL: https://issues.apache.org/jira/browse/ARROW-7678
Project: Apa
Great John, I'd be interesting to hear about progress.
Also, IMO I think we should be only focusing on encoding that have the
potential to be exploited for computational benefits (not just
compressibility). I think this is what distinguishes Arrow from other
formats like Parquet. I think this ech
Neal Richardson created ARROW-7679:
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Summary: [R] Purge unnecessary dataset classes and methods
Key: ARROW-7679
URL: https://issues.apache.org/jira/browse/ARROW-7679
Project: Apache Arrow
Is
I was thinking selection vector/bitmap (possibly with different encodings),
but really nothing for now. Ordinarily, I'd lean towards YAGNI but there
isn't a good way to add this in easily in a forward compatible way unless
we add a placeholder enum/table for 1.0 (the default option would be no
fil
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