ParquetFiles.BlobHelpers 1.0.0

.NET Standard 2.0
Install-Package ParquetFiles.BlobHelpers -Version 1.0.0
dotnet add package ParquetFiles.BlobHelpers --version 1.0.0
<PackageReference Include="ParquetFiles.BlobHelpers" Version="1.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add ParquetFiles.BlobHelpers --version 1.0.0
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#r "nuget: ParquetFiles.BlobHelpers, 1.0.0"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install ParquetFiles.BlobHelpers as a Cake Addin
#addin nuget:?package=ParquetFiles.BlobHelpers&version=1.0.0

// Install ParquetFiles.BlobHelpers as a Cake Tool
#tool nuget:?package=ParquetFiles.BlobHelpers&version=1.0.0
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This is a simple library and example console application to illustrate how to read and load data into class models from Parquet files saved to Azure Blob Storage using Parquet .Net (parquet-dotnet).


This is useful for E-L-T (extract-load-transform) processes whereby you need to load the data into Memory, Sql Server (e.g. Azure SQL), etc. or any other location where there is no built-in or default mechanism for working with Parquet data.


As noted in the Parquet-DotNet documentation, processing data from a parquet file requires alot of seeking and therefore requires that the file be provided in a readable and seekable Stream! This precludes the ability to read data while streaming down from Blob in real-time -- the entire file must be locally available.

This library provides ability to use either MemoryStream or FileStream depending on the size of the parquet file by setting a threshold limit the denotes the maximum size of which a MemoryStream should be used. This allows for high perfomrance of MemoryStreams whenever possible, but enabling FileStream anytime the environment has more constrained memory (e.g. Azure Functions with only 1GB RAM).

When necessary, per configuration, the FileStream work is fully encapsulated but overridable if needed via virtual method. A local temp file is created and used for managing the stream of data. Then the stream, as well as the temp file, is automatically cleaned up as soon as the ParquetBlobReader is properly disposed -- which it must be via IDisposable.

Note: As of this initial version we leverage the Fast Automatic Serialization functionality built in functionality of Parquet-DotNet to Deserialise the data from the Parquet file into class Models -- ParquetConvert.Deserialize<TModel>(...). This is convenient and initial testing shows solid performance (as expected). However it seems to have alot of dependencies on models with Nullable properties, and can actual load data incorrectly when they aren't nullable. So pending further testinga and real world usage we may have to implement our own processing of the data....


  1. Parquet-DotNet -- The goto Parquet File reader for C# & .Net.
  2. Azure.Storage.Blobs

Use Case Example (E-L-T)

We use this for loading data into Azure Sql via Azure Functions that handle our data-load processes. Unfortunately, Azure Sql does not have native support for efficiently reading Parquet data like Azure Sql Warehouse or Azure Synapse Analytics (the new DW re-branding) -- the OpenRowset() function in DW and Azure Sql Analytics has unique functionality that makes working with Parquet files much easier.

But, when Parquet is used as a data transport mechanism for API's, Micro-services, etc. then this becomes an issue as Azure SQL is far appropriate to use as the persistence DB than DW.

And, there isn't alot of information out there about how to easily load a file from Blob storage and read it with Parquet.Net (parquet-dotnet); which is the go-to parquet file reader for C# and .Net.

Loading into Azure Sql (or other system)

By using a Model based approach to reading the data, this makes it exceptionally easy to then pipe that data into Azure Sql via your ORM or for high performance using SqlBulkHelpers (if you're a Dapper User) or RepoDb (which has a very similar Bulk Insert/Update capability OOTB)!

Example Usage

    //Initialize Options (here we wire up a simple log handler to redirect to the Console)...
    var options = new ParquetBlobReaderOptions()
        //Easily direct logging wherever you want with a handler Action<string>...
        LogDebug = (message) => Console.WriteLine(message)

    //Create an instance of ParquetBlobReader() which MUST be Disposed of properly...
    using (var parquetReader = new ParquetBlobReader(blobStorageConnectionString, blobContainer, blobFilePath, options))
        //Example of Reading a Parquet File into the specified Model (by Generic Type) 
        // and enumerating the results provided by the IEnumerable result...
        var x = 1;
        foreach (var item in parquetReader.Read<ItemModel>())
            Console.WriteLine($"{x++}) {item.Id} -- {item.Name} [Status={item.StatusId}]");
Product Versions
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Version Downloads Last updated
1.0.0 504 11/10/2020

Initial stable functioning release.