Hi Wes,
Like I said I think this approach looks good, I think what I'm looking for
is a little more documentation/examples on how additional types would be
handled. I think Tensor would be a good example, we also had questions
about INET addresses previously, maybe this would be a another good
ill
Daniel Slutsky created ARROW-5373:
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Summary: [Add missing details for Gandiva Java Build
Key: ARROW-5373
URL: https://issues.apache.org/jira/browse/ARROW-5373
Project: Apache Arrow
Issue Type
Yosuke Shiro created ARROW-5372:
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Summary: [GLib] Add support for null/boolean values CSV read option
Key: ARROW-5372
URL: https://issues.apache.org/jira/browse/ARROW-5372
Project: Apache Arrow
On Sat, May 18, 2019, 1:58 PM Wes McKinney wrote:
> Hi Micah,
>
> The use cases I'm aware of are mostly coming from proprietary
> applications. My idea was for the extension metadata to be as unobtrusive
> as possible. The only alternative as I see it would be to have an Extension
> value in the
Hi Micah,
The use cases I'm aware of are mostly coming from proprietary applications.
My idea was for the extension metadata to be as unobtrusive as possible.
The only alternative as I see it would be to have an Extension value in the
Type union which would be more intrusive to applications handli
Hi Wes,
This approach seems reasonable to me. I'm a little concerned we haven't
validated many use-cases against the approach (but I don't see any obvious
flaws).
Thanks,
Micah
On Fri, May 17, 2019 at 5:16 AM Wes McKinney wrote:
> As Micah brought up, as part of this we would like to formalize
hi Yevgeni,
Would you like to add a `read_at` method to `pyarrow.NativeFile`? This
shouldn't be a huge patch. Can you open a JIRA issue?
Thanks
On Sat, May 18, 2019 at 3:18 AM Yevgeni Litvin wrote:
>
> I'd like to use HadoopFileSystem to open a file and then a read a block of
> data specified b
Kouhei Sutou created ARROW-5371:
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Summary: [Release] Add tests for dev/release/00-prepare.sh
Key: ARROW-5371
URL: https://issues.apache.org/jira/browse/ARROW-5371
Project: Apache Arrow
Issue Ty
Kouhei Sutou created ARROW-5370:
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Summary: [C++] Detect system uriparser by default
Key: ARROW-5370
URL: https://issues.apache.org/jira/browse/ARROW-5370
Project: Apache Arrow
Issue Type: Impro
Kouhei Sutou created ARROW-5369:
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Summary: [C++] Add support for glog on Windows
Key: ARROW-5369
URL: https://issues.apache.org/jira/browse/ARROW-5369
Project: Apache Arrow
Issue Type: Improvem
Kouhei Sutou created ARROW-5368:
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Summary: [C++] Disable jemalloc by default with MinGW
Key: ARROW-5368
URL: https://issues.apache.org/jira/browse/ARROW-5368
Project: Apache Arrow
Issue Type: I
I'd like to use HadoopFileSystem to open a file and then a read a block of
data specified by the offset and the length.
I see that for libhdfs driver, arrow supports hdfsPread API. It also
exposes it as ReadAt method of the RandomAccessFile interface. I did not
find don'ta way to access it from Pyt
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