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https://issues.apache.org/jira/browse/ARROW-219?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney resolved ARROW-219.
Resolution: Fixed
Issue resolved by pull request 92
[https://github.com/apache/arrow/pull/92]
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https://issues.apache.org/jira/browse/ARROW-213?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15334847#comment-15334847
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Wes McKinney commented on ARROW-213:
We'll want to add a helper function to make it easier to build
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https://issues.apache.org/jira/browse/ARROW-219?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15334464#comment-15334464
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Wes McKinney commented on ARROW-219:
https://github.com/apache/arrow/pull/92
> [C++] Passed
Wes McKinney created ARROW-219:
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Summary: [C++] Passed CMAKE_CXX_FLAGS are being dropped, fix
compiler warnings
Key: ARROW-219
URL: https://issues.apache.org/jira/browse/ARROW-219
Project: Apache Arrow
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https://issues.apache.org/jira/browse/ARROW-210?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney resolved ARROW-210.
Resolution: Fixed
Issue resolved by pull request 85
[https://github.com/apache/arrow/pull/85]
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https://issues.apache.org/jira/browse/ARROW-210?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney updated ARROW-210:
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Assignee: Micah Kornfield
> [C++] Tidy up the type system a little bit
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https://issues.apache.org/jira/browse/ARROW-218?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney resolved ARROW-218.
Resolution: Fixed
Issue resolved by pull request 91
[https://github.com/apache/arrow/pull/91]
> Add
> Netty buffer always allocate memory aligned to 64-bytes. So each new
> ArrowBuf will be aligned to 64-bytes as well, with offset = 0.
>
You confirmed that both the Netty chunk as well as buffer allocations
(ArrowBufs returned from here [1]) are on 64-byte offsets? Can you maybe
write some
Looks a good idea.In order to take advantage of async IO, it'd be nice
having a concept of chunking for large objects and "pipelining" in the
sense of starting the serialization/deserelezation while reading/writing
the chunks. In some application, it can be very useful when dealing with
large