پردازشهای Async در EF 6
- Async in Entity Framework 6.0
- Task-based Asynchronous Pattern support in EF
- Async Query & Save with Entity Framework 6
- Async Query & Save
- Entity Framework asynch – behind the magic
- Performing Asynchronous Operations Using Entity Framework
- EF 6: Async
- Async Processing in EF6 and the Microsoft .NET Framework 4.5
- Build Async Services with ASP.NET Web API and Entity Framework 6
- Making TransactionScope Work with async/await in .NET 4.5
- Async Actions in ASP.NET MVC 4
Resume Management project with React18, ASP.NET Core7 WebAPI, TypeScript and Entity Framework Core
In this video, we will create a Fullstack Resume Management project using React18, ASP.NET Core WebAPI (.NET 7),TypeScript and Entity Framework Core. The focus of this project is to show you how you can build a Fullstack project from 0 to 100 and build a simple CRUD application with ASP.NET Core WebAPI .
Pet Store Fullstack project with React18, ASP.NET Core7 WebAPI, TypeScript and Entity Framework Core
In this video, we will create a Fullstack Pet Store project using React18, ASP.NET Core WebAPI (.NET 7),TypeScript and Entity Framework Core. The focus of this project is to show you how you can build a Fullstack project from 0 to 100 and build a simple CRUD application with ASP.NET Core WebAPI .
طراحی جدول Calendar یا DateDimension
What is a Calendar Table and Why is it Useful?
A calendar table is a permanent table containing a list of dates and various components of those dates. These may be the result of DATEPART operations, time of year, holiday analysis, or any other creative operations we can think of.
از این جدول به عنوان راه حلی عمومی برای حل مشکل گروهبندی براساس بخشهای مختلف تاریخ در تقویمهای موجود و همچنین در طراحی تقویم کاری یک سازمان نیز میتوان استفاده کرد.
لیستی از منابع Vue
@inject IJSRuntime JSRuntime @code { string currentInputValue; public async Task Save() { await JSRuntime.InvokeVoidAsync("localStorage.setItem", "name", currentInputValue); } public async Task Read() { currentInputValue = await JSRuntime.InvokeAsync<string>("localStorage.getItem", "name"); } public async Task Delete() { await JSRuntime.InvokeAsync<string>("localStorage.removeItem", "name"); } }
@using Microsoft.AspNetCore.Components.Server.ProtectedBrowserStorage @inject ProtectedLocalStorage BrowserStorage @code { string currentInputValue; public async Task Save() { await BrowserStorage.SetAsync("name", currentInputValue); } public async Task Read() { var result = await BrowserStorage.GetAsync<string>("name"); currentInputValue = result.Success ? result.Value : ""; } public async Task Delete() { await BrowserStorage.DeleteAsync("name"); } }
@inject ProtectedSessionStorage BrowserStorage
In order to cleanse the data as we parse it, we thought using a try/catch would be ok. If we don’t catch the exceptions, we’re good, right?
Turns out it kills our performance when we throw a lot of exceptions, even if we don’t catch them. Each exception has some costs . We needed to find a way to handle this data without involving exceptions.
TryParse turns out to be a method designed to solve our problem. We ran some benchmarks to prove it.