EntityFrameworkCore.ClickHouse 0.0.20

There is a newer version of this package available.
See the version list below for details.
dotnet add package EntityFrameworkCore.ClickHouse --version 0.0.20                
NuGet\Install-Package EntityFrameworkCore.ClickHouse -Version 0.0.20                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="EntityFrameworkCore.ClickHouse" Version="0.0.20" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add EntityFrameworkCore.ClickHouse --version 0.0.20                
#r "nuget: EntityFrameworkCore.ClickHouse, 0.0.20"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install EntityFrameworkCore.ClickHouse as a Cake Addin
#addin nuget:?package=EntityFrameworkCore.ClickHouse&version=0.0.20

// Install EntityFrameworkCore.ClickHouse as a Cake Tool
#tool nuget:?package=EntityFrameworkCore.ClickHouse&version=0.0.20                

<div align="center"> <img src="https://raw.githubusercontent.com/denis-ivanov/EntityFrameworkCore.ClickHouse/master/Logo.png" /> </div>

ClickHouse provider for Entity Framework Core

GitHub Tag NuGet Count Issues Open

Quick start

  1. Create console app
  2. Install the necessary packages
dotnet add package EntityFrameworkCore.ClickHouse
dotnet add package Spectre.Console.Cli
class MyFirstTable
{
    public uint UserId { get; set; }

    public string Message { get; set; }

    public DateTime Timestamp { get; set; }

    public float Metric { get; set; }
}

class QuickStartDbContext : DbContext
{
    protected override void OnConfiguring(DbContextOptionsBuilder optionsBuilder)
    {
        base.OnConfiguring(optionsBuilder);

        optionsBuilder.UseClickHouse("Host=localhost;Protocol=http;Port=8123;Database=QuickStart");
    }

    public DbSet<MyFirstTable> MyFirstTable { get; set; }

    protected override void OnModelCreating(ModelBuilder modelBuilder)
    {
        var entityTypeBuilder = modelBuilder.Entity<MyFirstTable>();

        entityTypeBuilder.Property(e => e.UserId).HasColumnName("user_id");
        entityTypeBuilder.Property(e => e.Message).HasColumnName("message");
        entityTypeBuilder.Property(e => e.Timestamp).HasColumnName("timestamp");
        entityTypeBuilder.Property(e => e.Metric).HasColumnName("metric");

        entityTypeBuilder.HasKey(e => new { e.UserId, e.Timestamp });

        entityTypeBuilder.ToTable("my_first_table", table => table
            .HasMergeTreeEngine()
            .WithPrimaryKey("user_id", "timestamp"));
    }
}

class Program
{
    static async Task Main(string[] args)
    {
        await using var context = new QuickStartDbContext();
        await context.Database.EnsureCreatedAsync();

        await context.MyFirstTable.AddRangeAsync(
            new MyFirstTable
            {
                UserId = 101,
                Message = "Hello, ClickHouse!",
                Timestamp = DateTime.Now,
                Metric = -1f
            },
            new MyFirstTable
            {
                UserId = 102,
                Message = "Insert a lot of rows per batch",
                Timestamp = DateTime.Now.AddDays(-1),
                Metric = 1.41421f
            },
            new MyFirstTable
            {
                UserId = 102,
                Message = "Sort your data based on your commonly-used queries",
                Timestamp = DateTime.Today,
                Metric = 2.718f
            },
            new MyFirstTable
            {
                UserId = 101,
                Message = "Granules are the smallest chunks of data read",
                Timestamp = DateTime.Now.AddSeconds(5),
                Metric = 3.14159f
            });

        await context.SaveChangesAsync();

        var data = context.MyFirstTable.OrderBy(e => e.Timestamp).ToArray();

        var table = new Table()
            .AddColumns(
                new TableColumn("user_id").RightAligned(),
                new TableColumn("message").LeftAligned(),
                new TableColumn("timestamp").RightAligned(),
                new TableColumn("metric").RightAligned());

        Array.ForEach(data, d => table.AddRow(
            d.UserId.ToString(),
            d.Message,
            d.Timestamp.ToString(CultureInfo.InvariantCulture),
            d.Metric.ToString(CultureInfo.InvariantCulture)));

        AnsiConsole.Write(table);
    }
}
┌─────────┬────────────────────────────────────────────────────┬─────────────────────┬─────────┐
│ user_id │ message                                            │           timestamp │  metric │
├─────────┼────────────────────────────────────────────────────┼─────────────────────┼─────────┤
│     102 │ Insert a lot of rows per batch                     │ 04/29/2024 21:05:26 │ 1.41421 │
│     102 │ Sort your data based on your commonly-used queries │ 04/30/2024 00:00:00 │   2.718 │
│     101 │ Hello, ClickHouse!                                 │ 04/30/2024 21:05:26 │      -1 │
│     101 │ Granules are the smallest chunks of data read      │ 04/30/2024 21:05:31 │ 3.14159 │
└─────────┴────────────────────────────────────────────────────┴─────────────────────┴─────────┘
Product Compatible and additional computed target framework versions.
.NET net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on EntityFrameworkCore.ClickHouse:

Repository Stars
IoTSharp/IoTSharp
IoTSharp is an open-source IoT platform for data collection, processing, visualization, and device management.
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