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Posted to commits@arrow.apache.org by ag...@apache.org on 2021/04/18 16:36:14 UTC
[arrow-datafusion] 01/02: Remove old README
This is an automated email from the ASF dual-hosted git repository.
agrove pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/arrow-datafusion.git
commit a6663b381676f32fcd38f6101de7196d27788d49
Author: Andy Grove <an...@gmail.com>
AuthorDate: Sun Apr 18 10:33:39 2021 -0600
Remove old README
---
README.md | 106 --------------------------------------------------------------
1 file changed, 106 deletions(-)
diff --git a/README.md b/README.md
deleted file mode 100644
index 133018c..0000000
--- a/README.md
+++ /dev/null
@@ -1,106 +0,0 @@
-<!---
- Licensed to the Apache Software Foundation (ASF) under one
- or more contributor license agreements. See the NOTICE file
- distributed with this work for additional information
- regarding copyright ownership. The ASF licenses this file
- to you under the Apache License, Version 2.0 (the
- "License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing,
- software distributed under the License is distributed on an
- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- KIND, either express or implied. See the License for the
- specific language governing permissions and limitations
- under the License.
--->
-
-# Apache Arrow
-
-[](https://ci.appveyor.com/project/ApacheSoftwareFoundation/arrow/branch/master)
-[](https://codecov.io/gh/apache/arrow?branch=master)
-[](https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:arrow)
-[](https://github.com/apache/arrow/blob/master/LICENSE.txt)
-[](https://twitter.com/apachearrow)
-
-## 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:
-
- - [The Arrow Columnar In-Memory Format](https://github.com/apache/arrow/blob/master/docs/source/format/Columnar.rst):
- a standard and efficient in-memory representation of various datatypes, plain or nested
- - [The Arrow IPC Format](https://github.com/apache/arrow/blob/master/docs/source/format/Columnar.rst#serialization-and-interprocess-communication-ipc):
- an efficient serialization of the Arrow format and associated metadata,
- for communication between processes and heterogeneous environments
- - [The Arrow Flight RPC protocol](https://github.com/apache/arrow/tree/master/format/Flight.proto):
- based on the Arrow IPC format, a building block for remote services exchanging
- Arrow data with application-defined semantics (for example a storage server or a database)
- - [C++ libraries](https://github.com/apache/arrow/tree/master/cpp)
- - [C bindings using GLib](https://github.com/apache/arrow/tree/master/c_glib)
- - [C# .NET libraries](https://github.com/apache/arrow/tree/master/csharp)
- - [Gandiva](https://github.com/apache/arrow/tree/master/cpp/src/gandiva):
- an [LLVM](https://llvm.org)-based Arrow expression compiler, part of the C++ codebase
- - [Go libraries](https://github.com/apache/arrow/tree/master/go)
- - [Java libraries](https://github.com/apache/arrow/tree/master/java)
- - [JavaScript libraries](https://github.com/apache/arrow/tree/master/js)
- - [Plasma Object Store](https://github.com/apache/arrow/tree/master/cpp/src/plasma):
- a shared-memory blob store, part of the C++ codebase
- - [Python libraries](https://github.com/apache/arrow/tree/master/python)
- - [R libraries](https://github.com/apache/arrow/tree/master/r)
- - [Ruby libraries](https://github.com/apache/arrow/tree/master/ruby)
- - [Rust libraries](https://github.com/apache/arrow/tree/master/rust)
-
-Arrow is an [Apache Software Foundation](https://www.apache.org) project. Learn more at
-[arrow.apache.org](https://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](https://github.com/apache/arrow/blob/master/docs/source/status.rst)
-on git master.
-
-## How to Contribute
-
-Please read our latest [project contribution guide][5].
-
-## 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:
-
-- Join the mailing list: send an email to
- [dev-subscribe@arrow.apache.org][1]. Share your ideas and use cases for the
- project.
-- [Follow our activity on JIRA][3]
-- [Learn the format][2]
-- Contribute code to one of the reference implementations
-
-[1]: mailto:dev-subscribe@arrow.apache.org
-[2]: https://github.com/apache/arrow/tree/master/format
-[3]: https://issues.apache.org/jira/browse/ARROW
-[4]: https://github.com/apache/arrow
-[5]: https://github.com/apache/arrow/blob/master/docs/source/developers/contributing.rst