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apache / arrow / 79d1f44911fee504c0eeb76ff9c5b669f96da770
commit79d1f44911fee504c0eeb76ff9c5b669f96da770[log] [tgz]
authorMicah Kornfield <micahk@google.com>Thu Mar 04 17:18:38 2021 +0100
committerAntoine Pitrou <antoine@python.org>Thu Mar 04 17:18:38 2021 +0100
tree604d6536f1daeeaa3b1ea0791c35a254dc5fc13b
parentf55f657914afc1476f72a939143874256ebb411b [diff]
PARQUET-1655: [C++] Fix comparison of Decimal values in statistics

The prior logic, I don't think is ever correct for signed
comparison.  Signed comparison of bytes as far as I can
tell from the specification is only used by Decimal
encoded values.  Decimals are always encoded as big-endian
two's complement integers.

The new logic reflects this by doing sign extension when
necessary for comparisons, and only using signed byte comparison
for the very first value when appropriate.

This PR also eliminates what appears to be a some dead code.

Closes #9582 from emkornfield/parquet_stats

Lead-authored-by: Micah Kornfield <micahk@google.com>
Co-authored-by: Antoine Pitrou <antoine@python.org>
Signed-off-by: Antoine Pitrou <antoine@python.org>
4 files changed
tree: 604d6536f1daeeaa3b1ea0791c35a254dc5fc13b
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  34. CHANGELOG.md
  35. cmake-format.py
  36. CODE_OF_CONDUCT.md
  37. CONTRIBUTING.md
  38. docker-compose.yml
  39. header
  40. LICENSE.txt
  41. NOTICE.txt
  42. README.md
  43. run-cmake-format.py
README.md

Apache Arrow

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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: