[GitHub] [arrow-site] riboflavin closed pull request #5: [Website] Update website for Gandiva donation
riboflavin closed pull request #5: [Website] Update website for Gandiva donation URL: https://github.com/apache/arrow-site/pull/5 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
[jira] [Created] (ARROW-5288) [Documentation] Enrich the contribution guidelines
Neal Richardson created ARROW-5288: -- Summary: [Documentation] Enrich the contribution guidelines Key: ARROW-5288 URL: https://issues.apache.org/jira/browse/ARROW-5288 Project: Apache Arrow Issue Type: Improvement Components: Documentation Reporter: Neal Richardson Assignee: Neal Richardson Including indications for what Jira fields to use. Plus I see a few other things I'll touch up while I'm in there. -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Created] (ARROW-5289) [C++] Move arrow/util/concatenate.h to arrow/array/
Wes McKinney created ARROW-5289: --- Summary: [C++] Move arrow/util/concatenate.h to arrow/array/ Key: ARROW-5289 URL: https://issues.apache.org/jira/browse/ARROW-5289 Project: Apache Arrow Issue Type: Improvement Components: C++ Reporter: Wes McKinney Fix For: 0.14.0 I think this would be a better location for array/columnar algorithms Please wait until after ARROW-3144 -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Created] (ARROW-5287) [Python] automatic type inference for arrays of tuples
Joris Van den Bossche created ARROW-5287:
Summary: [Python] automatic type inference for arrays of tuples
Key: ARROW-5287
URL: https://issues.apache.org/jira/browse/ARROW-5287
Project: Apache Arrow
Issue Type: Improvement
Components: Python
Reporter: Joris Van den Bossche
Arrays of tuples are support to be converted to either ListArray or
StructArray, if you specify the type explicitly:
{code}
In [6]: pa.array([(1, 2), (3, 4, 5)], type=pa.list_(pa.int64()))
Out[6]:
[
[
1,
2
],
[
3,
4,
5
]
]
In [7]: pa.array([(1, 2), (3, 4)], type=pa.struct([('a', pa.int64()), ('b',
pa.int64())]))
Out[7]:
-- is_valid: all not null
-- child 0 type: int64
[
1,
3
]
-- child 1 type: int64
[
2,
4
]
{code}
But not when no type is specified:
{code}
In [8]: pa.array([(1, 2), (3, 4)])
---
ArrowInvalid Traceback (most recent call last)
in
> 1 pa.array([(1, 2), (3, 4)])
~/scipy/repos/arrow/python/pyarrow/array.pxi in pyarrow.lib.array()
~/scipy/repos/arrow/python/pyarrow/array.pxi in pyarrow.lib._sequence_to_array()
~/scipy/repos/arrow/python/pyarrow/error.pxi in pyarrow.lib.check_status()
ArrowInvalid: Could not convert (1, 2) with type tuple: did not recognize
Python value type when inferring an Arrow data type
{code}
Do we want to do automatic type inference for tuples as well? (defaulting to
the ListArray case, just as arrays of python lists are supported)
Or was there a specific reason to not support this by default?
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[jira] [Created] (ARROW-5285) [C++][Plasma] never call cuIpcCloseMemHandle before GPU memory distorted
shengjun.li created ARROW-5285: -- Summary: [C++][Plasma] never call cuIpcCloseMemHandle before GPU memory distorted Key: ARROW-5285 URL: https://issues.apache.org/jira/browse/ARROW-5285 Project: Apache Arrow Issue Type: Bug Components: C++ Affects Versions: 0.13.0 Reporter: shengjun.li Fix For: 0.14.0 When GPU memory created, cuIpcOpenMemHandle is called. But when GPU memory distorted, cuIpcCloseMemHandle is never called. cpp/CMakeLists.txt option(ARROW_CUDA "Build the Arrow CUDA extensions (requires CUDA toolkit)" ON) option(ARROW_PLASMA "Build the plasma object store along with Arrow" ON) Repeatly creat and delete gpu memory, the following error may occur. error: 5 IOError: Cuda Driver API call in /home/zilliz/arrow/cpp/src/arrow/gpu/cuda_context.cc at line 155 failed with code 208: cuIpcOpenMemHandle(, *handle, CU_IPC_MEM_LAZY_ENABLE_PEER_ACCESS) Note: CUDA_ERROR_ALREADY_MAPPED = 208 -- This message was sent by Atlassian JIRA (v7.6.3#76005)
