Arrow Build Report for Job nightly-2020-02-14-0
All tasks:
https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-14-0
Failed Tasks:
- conda-linux-gcc-py27:
URL:
https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-14-0-azure-conda-linux-gcc-py27
-
It seems inevitable that a few annoying regressions will pop up as
0.16.0 becomes more widely deployed, e.g. ARROW-7841 was just reported
and patched. I created a 0.16.1 Fix Version in JIRA so that we can tag
issues that we may want to cherry pick into a maint-0.16.x branch. We
probably would want
There is only 1 binding +1 vote so far, we should probably wait for
three before closing the vote (it's possible that lazy consensus could
be employed here but not much harm in waiting a few more days)
On Thu, Feb 13, 2020 at 8:15 PM Francois Saint-Jacques
wrote:
>
> +1
>
> On Thu, Feb 13, 2020
Neal Richardson created ARROW-7859:
--
Summary: [R] Minor patches for CRAN submission 0.16.0.2
Key: ARROW-7859
URL: https://issues.apache.org/jira/browse/ARROW-7859
Project: Apache Arrow
Neal Richardson created ARROW-7860:
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Summary: [C++] Support cast to/from halffloat
Key: ARROW-7860
URL: https://issues.apache.org/jira/browse/ARROW-7860
Project: Apache Arrow
Issue Type:
In terms of wheel verification, I added
https://issues.apache.org/jira/browse/ARROW-7853 to the 0.16.1 tag. It's
for CI using pip to install the wheels we build nightly. Obviously this is
not required for 0.16.1 but it would make the release verification simpler
because we would be running that
Francois Saint-Jacques created ARROW-7861:
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Summary: [C++][Parquet] Add fuzz regression corpus for parquet
reader
Key: ARROW-7861
URL: https://issues.apache.org/jira/browse/ARROW-7861
Neal Richardson created ARROW-7862:
--
Summary: [R] Linux installation should run quieter by default
Key: ARROW-7862
URL: https://issues.apache.org/jira/browse/ARROW-7862
Project: Apache Arrow
Hi Micah,
The primary language is Python. I'm hoping the that the small overhead of
metadata is small compared to the schema information.
thank you!
On Fri, Feb 14, 2020 at 3:07 PM Micah Kornfield
wrote:
> Hi Tewfik,
> What language? it is possible to serialize them separately but the right
Actually we are verifying the wheels after building them, the manylinux
wheels in fresh environments using docker.
We should first investigate why didn't the windows wheel issue surface
during its verification [1].
[1]:
Hi Tewfik,
What language? it is possible to serialize them separately but the right
hooks might not be exposed in all languages.
There is still going to be a higher overhead for single row values in Arrow
compared to Avro due to metadata requirements.
Thanks,
Micah
On Fri, Feb 14, 2020 at 1:33
IIUC the difference in the verification script is that we construct the
wheel file name, download it, and install the file, rather than have pip
query a repo and download the latest:
https://github.com/apache/arrow/blob/master/dev/release/verify-release-candidate-wheels.bat#L69-L72
Verification
Hi,
I have a use case of creating a feature store to serve low latency traffic.
Given a key, we need the ability to save and read a feature vector in a low
latency Key Value store. Serializing an Arrow table with one row is takes
1344 bytes, while the same singular row serialized with AVRO
Kouhei Sutou created ARROW-7863:
---
Summary: [C++][Python][CI] Ensure running HDFS related tests
Key: ARROW-7863
URL: https://issues.apache.org/jira/browse/ARROW-7863
Project: Apache Arrow
Issue
Joris Van den Bossche created ARROW-7858:
Summary: [C++][Python] Support casting an Extension type to its
storage type
Key: ARROW-7858
URL: https://issues.apache.org/jira/browse/ARROW-7858
I opened an issue for the pandas-master failure:
https://issues.apache.org/jira/browse/ARROW-7857
On Thu, 13 Feb 2020 at 21:08, Crossbow wrote:
>
> Arrow Build Report for Job nightly-2020-02-13-0
>
> All tasks:
> https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-13-0
>
>
Joris Van den Bossche created ARROW-7857:
Summary: [Python] Failing test with pandas master for extension
type conversion
Key: ARROW-7857
URL: https://issues.apache.org/jira/browse/ARROW-7857
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