Parquet.Net 3.1.1

.NET library to read and write Apache Parquet files.
Supports all parquet features, including maps, structs, lists, repeatable fields.
Compatible with .NET 4.5 and .NET Standard 1.4 and up.
Works on all flavours of Windows and Linux. Compatible with iOS and Android via Xamarin.

There is a newer version of this package available.
See the version list below for details.
Install-Package Parquet.Net -Version 3.1.1
dotnet add package Parquet.Net --version 3.1.1
<PackageReference Include="Parquet.Net" Version="3.1.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Parquet.Net --version 3.1.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Release Notes

3.1.0:
- re-introducing utilities for row-based access allowing you to access and create parquet files in more readable format.
- Field class now supports MaxRepetitionLevel and MaxDefinitionLevel
- fixed bug #334 preventing reading generated files in Impala
- parquet.net library supports SourceLink
3.0.5:
- #321 bug fixed: a nullable field should support all-non-nullable values
- performance improvement around packing definition levels

3.0.4:
- bug fixed: Cannot read schema where map elements are structures (#320)

3.0.3
- critical bug fixed: reading parquet files with multiple pages doesn't read beyond 1st page (#318)
   
3.0.2
- performance improvements (#317)

3.0.1
- improvement: better column validation in row group writer
- bug fixed: Snappy compression writer fails on certain encodings (#315)

3.0.0
the first release of a major rewrite

Showing the top 1 GitHub repositories that depend on Parquet.Net:

Repository Stars
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.

Version History

Version Downloads Last updated
3.3.9 5,426 8/15/2019
3.3.8 1,777 8/1/2019
3.3.7 65 8/1/2019
3.3.6 68 7/31/2019
3.3.5 2,052 7/5/2019
3.3.4 69,622 3/11/2019
3.3.3 6,426 2/1/2019
3.3.2 5,289 1/21/2019
3.3.1 441 1/14/2019
3.3.0 276 1/11/2019
3.2.6 155 1/11/2019
3.2.5 1,692 1/3/2019
3.2.4 1,799 11/21/2018
3.2.3 5,492 11/7/2018
3.2.2 620 10/30/2018
3.2.1 156 10/30/2018
3.2.0 531 10/24/2018
3.1.4 329 10/15/2018
3.1.3 155 10/15/2018
3.1.2 759 10/11/2018
3.1.1 496 10/4/2018
3.1.0 189 10/3/2018
3.1.0-preview-390 140 10/3/2018
3.1.0-preview-373 241 10/2/2018
3.0.5 3,733 8/13/2018
3.0.4 312 7/25/2018
3.0.3 175 7/25/2018
3.0.2 667 7/24/2018
3.0.1 173 7/24/2018
3.0.0 672 7/19/2018
2.1.4 24,070 6/7/2018
2.1.3 127,857 3/30/2018
2.1.2 7,385 1/10/2018
2.1.1 17,861 12/1/2017
2.1.0 469 11/29/2017
2.0.1 234 11/27/2017
2.0.0 289 11/27/2017
1.5.1 681 11/14/2017
1.4.0 2,750 10/23/2017
1.3.0 1,580 9/12/2017
1.2.139 336 9/6/2017
1.1.128 314 8/15/2017
1.0.114 285 7/31/2017
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