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Angular5-RealTime-gauges-with-SignalR-Core-EFCore2

Example

Setup SQL Database

For an easy setup with SQL SERVER, I recommand to use LocalDB, installed automatically since Visual Studio 2012

Use for example SQL Management Studio V12+ top type this serie of commands:

Create Database

CREATE DATABASE SignalRDemo;

Create SQL table for the project

USE [SignalRDemo]
GO

/****** Object:  Table [dbo].[GaugesData]    Script Date: 2017-12-30 14:51:37 ******/
SET ANSI_NULLS ON
GO

SET QUOTED_IDENTIFIER ON
GO

CREATE TABLE [dbo].[GaugesData](
	[Id] [int] NOT NULL,
	[Memory] [int] NOT NULL,
	[Cpu] [int] NOT NULL,
	[Network] [int] NOT NULL,
 CONSTRAINT [PK_GaugesData] PRIMARY KEY CLUSTERED 
(
	[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]

GO

Enable service broker

ALTER DATABASE SignalRDemo SET ENABLE_BROKER with rollback immediate

Then populate table with data (minimum 0, maximum 100)

You may have some issues with service broker when you use Windows Authentification, notifications from database might not be fired, then use a SQL Server login / password authentification

Setup Angular project

Install Angular-CLI 1.6.3 or later

npm install -g [email protected]

Install the project

Download the repository and install the project like this npm install

Setup .NET Core project

Requirements

Visual Studio 2017 and .Net Core 2 are required Download repository

Install required Nuget Packages

Microsoft.AspNetCore.SignalR Install-Package Microsoft.AspNetCore.SignalR -Version 1.0.0-alpha2-final Microsoft.EntityFrameworkCore Install-Package Microsoft.EntityFrameworkCore -Version 2.0.1 Microsoft.EntityFrameworkCore.SqlServer Install-Package Microsoft.EntityFrameworkCore.SqlServer -Version 2.0.1 SqlTableDependency Install-Package SqlTableDependency -Version 6.1.0

Build and run

In my solution (and in Agnular config) I use http://localhost:33383/ Url

Informations

This project uses Google Charts, especially Gauges charts. This project is fully reusable for any Google Charts.