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apache / arrow / 2ed54dbdb8d27b65def2db8d938240030986106c
commit2ed54dbdb8d27b65def2db8d938240030986106c[log] [tgz]
authorWeston Pace <weston.pace@gmail.com>Wed Apr 21 01:42:23 2021 +0000
committerYibo Cai <yibo.cai@arm.com>Wed Apr 21 01:42:23 2021 +0000
tree835db3ccb490235881ff3e8c5ad0dc7c26dc18ae
parent3dd6d323ad2f40543cb2abf23c91c237049ee29d [diff]
ARROW-12325: [C++] [CI] Nightly gandiva build failing due to failure of compiler to move return value

Gandiva build failure caused by failure of GCC 4.8.2 compiler to automatically move return value.

Failed build: https://github.com/ursacomputing/crossbow/runs/2303374510
Godbolt showing I'm not crazy: https://gcc.godbolt.org/z/x138zevhE

Closes #9975 from westonpace/bugfix/ARROW-12325

Authored-by: Weston Pace <weston.pace@gmail.com>
Signed-off-by: Yibo Cai <yibo.cai@arm.com>
1 file changed
tree: 835db3ccb490235881ff3e8c5ad0dc7c26dc18ae
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  34. CHANGELOG.md
  35. cmake-format.py
  36. CODE_OF_CONDUCT.md
  37. CONTRIBUTING.md
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  39. header
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  41. NOTICE.txt
  42. README.md
  43. run-cmake-format.py
README.md

Apache Arrow

Build Status Fuzzing Status License Twitter Follow

Powering In-Memory Analytics

Apache Arrow is a development platform for in-memory analytics. It contains a set of technologies that enable big data systems to process and move data fast.

Major components of the project include:

Arrow is an Apache Software Foundation project. Learn more at arrow.apache.org.

What's in the Arrow libraries?

The reference Arrow libraries contain many distinct software components:

  • Columnar vector and table-like containers (similar to data frames) supporting flat or nested types
  • Fast, language agnostic metadata messaging layer (using Google's Flatbuffers library)
  • Reference-counted off-heap buffer memory management, for zero-copy memory sharing and handling memory-mapped files
  • IO interfaces to local and remote filesystems
  • Self-describing binary wire formats (streaming and batch/file-like) for remote procedure calls (RPC) and interprocess communication (IPC)
  • Integration tests for verifying binary compatibility between the implementations (e.g. sending data from Java to C++)
  • Conversions to and from other in-memory data structures
  • Readers and writers for various widely-used file formats (such as Parquet, CSV)

Implementation status

The official Arrow libraries in this repository are in different stages of implementing the Arrow format and related features. See our current feature matrix on git master.

How to Contribute

Please read our latest project contribution guide.

Getting involved

Even if you do not plan to contribute to Apache Arrow itself or Arrow integrations in other projects, we'd be happy to have you involved: