Christian Roth created ARROW-7002:
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Summary: Support pandas nullable integer type Int64
Key: ARROW-7002
URL: https://issues.apache.org/jira/browse/ARROW-7002
Project: Apache Arrow
Issue Type:
Arrow Build Report for Job nightly-2019-10-27-0
All tasks:
https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2019-10-27-0
Failed Tasks:
- docker-clang-format:
URL:
https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2019-10-27-0-circle-docker-clang-format
- docke
Andy Grove created ARROW-7003:
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Summary: [Format] [Rust] Generate flatbuffers files in build script
Key: ARROW-7003
URL: https://issues.apache.org/jira/browse/ARROW-7003
Project: Apache Arrow
Iss
Yes, here [1] is your issue and the solution at [2]. Although I'm
unsure where should it eventually land. It is closer to crossbow
due to the pygit2 dependency, but archery could be a better
option. Added a comment, so we can discuss it further under
the issue.
[1]: https://issues.apache.org/jira/
+1 on the idea of enhancing builder interfaces.
>>IntVectorBuilder addAll(int[] values);
Let's make sure that anything like the above is efficient. People will
judge the quality of the project on the efficiency of the methods we
provide. If everybody starts using int[] to build Arrow vectors, we
+1 (binding)
I ran the followings on Debian GNU/Linux sid:
* TEST_CSHARP=0 \
JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64 \
CUDA_TOOLKIT_ROOT=/usr \
dev/release/verify-release-candidate.sh source 0.15.1 0
* dev/release/verify-release-candidate.sh binaries 0.15.1 0
with:
