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commit a6663b381676f32fcd38f6101de7196d27788d49 Author: Andy Grove <[email protected]> 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 - [[email protected]][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:[email protected] -[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
