tag	d21330102ea72418da1f6fa70aef5ee5c8a08362
tagger	Sutou Kouhei <kou@clear-code.com>	Tue Sep 16 12:55:16 2025 +0900
object	12d320346bd7e6109d9762597792e62fd4fac595

commit	12d320346bd7e6109d9762597792e62fd4fac595	[log] [tgz]
author	Sutou Kouhei <kou@clear-code.com>	Tue Sep 16 12:54:08 2025 +0900
committer	GitHub <noreply@github.com>	Tue Sep 16 12:54:08 2025 +0900
tree	2233ea97c456de278a8371e26dc949242f4688ff
parent	ee78fac0a1232a8f28d92e1217450997badfd8cc [diff]

tree: 2233ea97c456de278a8371e26dc949242f4688ff

README.md

Apache Arrow .NET

An implementation of Arrow targeting .NET Standard.

See our current feature matrix for currently available features.

Implementation

Arrow specification 1.0.0. (Support for reading 0.11+.)
C# 11
.NET Standard 2.0 and .NET 6.0
Asynchronous I/O
Uses modern .NET runtime features such as Span<T>, Memory<T>, MemoryManager<T>, and System.Buffers primitives for memory allocation, memory storage, and fast serialization.
Uses Acyclic Visitor Pattern for array types and arrays to facilitate serialization, record batch traversal, and format growth.

Known Issues

Cannot read Arrow files containing tensors.
Cannot easily modify allocation strategy without implementing a custom memory pool. All allocations are currently 64-byte aligned and padded to 8-bytes.
Default memory allocation strategy uses an over-allocation strategy with pointer fixing, which results in significant memory overhead for small buffers. A buffer that requires a single byte for storage may be backed by an allocation of up to 64-bytes to satisfy alignment requirements.
There are currently few builder APIs available for specific array types. Arrays must be built manually with an arrow buffer builder abstraction.
FlatBuffer code generation is not included in the build process.
Serialization implementation does not perform exhaustive validation checks during deserialization in every scenario.
Throws exceptions with vague, inconsistent, or non-localized messages in many situations
Throws exceptions that are non-specific to the Arrow implementation in some circumstances where it probably should (eg. does not throw ArrowException exceptions)
Lack of code documentation
Lack of usage examples

Usage

using System.Diagnostics;
using System.IO;
using System.Threading.Tasks;
using Apache.Arrow;
using Apache.Arrow.Ipc;

public static async Task<RecordBatch> ReadArrowAsync(string filename)
{
    using (var stream = File.OpenRead(filename))
    using (var reader = new ArrowFileReader(stream))
    {
        var recordBatch = await reader.ReadNextRecordBatchAsync();
        Debug.WriteLine("Read record batch with {0} column(s)", recordBatch.ColumnCount);
        return recordBatch;
    }
}

Status

Memory Management

Allocations are 64-byte aligned and padded to 8-bytes.
Allocations are automatically garbage collected

Arrays

Primitive Types

Int8, Int16, Int32, Int64
UInt8, UInt16, UInt32, UInt64
Float, Double, Half-float (.NET 6+)
Binary (variable-length)
String (utf-8)
Null

Parametric Types

Timestamp
Date32
Date64
Decimal
Time32
Time64
Binary (fixed-length)
List
Struct
Union
Map
Duration
Interval

Type Metadata

Data Types
Fields
Schema

Serialization

File
Stream

IPC Format

Compression

Buffer compression and decompression is supported, but requires installing the Apache.Arrow.Compression package. When reading compressed data, you must pass an Apache.Arrow.Compression.CompressionCodecFactory instance to the ArrowFileReader or ArrowStreamReader constructor, and when writing compressed data a CompressionCodecFactory must be set in the IpcOptions. Alternatively, a custom implementation of ICompressionCodecFactory can be used.

Not Implemented

Serialization
- Exhaustive validation
- Run End Encoding
Types
- Tensor
Arrays
- Large Arrays. There are large array types provided to help with interoperability with other libraries, but these do not support buffers larger than 2 GiB and an exception will be raised if trying to import an array that is too large.
  - Large Binary
  - Large List
  - Large String
- Views
  - Binary
  - List
  - String
  - Large Binary
  - Large List
  - Large String
Array Operations
- Equality / Comparison
- Casting
Compute
- There is currently no API available for a compute / kernel abstraction.

Build

Install the latest .NET Core SDK from https://dotnet.microsoft.com/download.

dotnet build

NuGet Build

To build the NuGet package run the following command to build a debug flavor, preview package into the artifacts folder.

dotnet pack

When building the officially released version run: (see Note below about current git repository)

dotnet pack -c Release

Which will build the final/stable package.

NOTE: When building the officially released version, ensure that your git repository has the origin remote set to https://github.com/apache/arrow.git, which will ensure Source Link is set correctly. See https://github.com/dotnet/sourcelink/blob/main/docs/README.md for more information.

There are two output artifacts:

Apache.Arrow.<version>.nupkg - this contains the executable assemblies
Apache.Arrow.<version>.snupkg - this contains the debug symbols files

Both of these artifacts can then be uploaded to https://www.nuget.org/packages/manage/upload.

Docker Build

Build from the Apache Arrow project root.

docker build -f csharp/build/docker/Dockerfile .

Testing

dotnet test

All build artifacts are placed in the artifacts folder in the project root.

Coding Style

This project follows the coding style specified in Coding Style.

Updating FlatBuffers code

See https://google.github.io/flatbuffers/flatbuffers_guide_use_java_c-sharp.html for how to get the flatc executable.

Run flatc --csharp on each .fbs file in the format folder. And replace the checked in .cs files under FlatBuf with the generated files.

Update the non-generated FlatBuffers .cs files with the files from the google/flatbuffers repo.