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apache / arrow / f43bfd69e97408d06a5de4851aec77f8754bd72f
commitf43bfd69e97408d06a5de4851aec77f8754bd72f[log] [tgz]
authorlambda <1wei@live.com>Fri Jul 21 15:38:32 2023 +0800
committerGitHub <noreply@github.com>Fri Jul 21 16:38:32 2023 +0900
treef9765ce6ec959354d9cef033f2f1b7366f12dedd
parentd98b3a18a1985c59295e54c635060caf8a0bbd42 [diff]
GH-36770: [C++] Use custom endpoint for s3 using environment variable AWS_ENDPOINT_URL (#36791)



### Rationale for this change
we need a way to read custom object storage (such as minio host or other s3-like storage).
use environment variable `AWS_ENDPOINT_URL `

### What changes are included in this PR?
set variable endpoint_override according the environment variable

### Are these changes tested?
unittest and tested on pyarrow

### Are there any user-facing changes?
No

* Closes: #36770

Authored-by: yiwei.wang <yiwei.wang@weride.ai>
Signed-off-by: Sutou Kouhei <kou@clear-code.com>
2 files changed
tree: f9765ce6ec959354d9cef033f2f1b7366f12dedd
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  32. CHANGELOG.md
  33. cmake-format.py
  34. CODE_OF_CONDUCT.md
  35. CONTRIBUTING.md
  36. docker-compose.yml
  37. header
  38. LICENSE.txt
  39. NOTICE.txt
  40. README.md
README.md

Apache Arrow

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 main.

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: