Dapper on Ravindra Devrani

Dotnet Core API Crud With Mysql and Dapper

Thu, 25 Dec 2025 11:19:51 +0530

In this tutorial, we are going to make dotnet core web api application and perform all the CRUD (create, read, update and delete). I have tried to keep it simple and avoided any complexities like repository pattern.

💻Source code

Tech and tools used

Dotnet 10
MySql 8+ (in docker container. Click here, if you want to create a MySql container in docker)
Dapper (ORM)
.NET CLI and VS Code (alternate Visual Studio 2025)

Create database

Let’s start with creating a database and a table. You need to execute this script.

Bulk insert in dapper with table valued parameter

Sun, 04 May 2025 17:00:00 +0530

There might be instances when you want to insert bulk data. For an instance, you want to create an order, where you need to add multiple items. Let’s see how can we insert bulk data in c# using dapper.

Note: It is only good for adding bunch of rows. But if you are looking for adding hundreds of rows then better to use other approaches. There are many, if you look out.

Dapper: Output Parameter

Sun, 23 Mar 2025 00:00:00 +0530

Stored procedure

CREATE OR ALTER PROCEDURE [dbo].[CreateTrackEntry]
 @EntryDate DATE,
 @SleptAt DATETIME2,
 @WokeUpAt DATETIME2,
 @NapInMinutes SMALLINT,
 @TotalWorkInMinutes SMALLINT,
 @Remarks NVARCHAR(1000) = NULL,
 @TrackEntryId INT OUTPUT
AS
BEGIN
 -- code removed for brevity

END

We have a stored procedure that returns TrackEntryId as an output parameter. Let’s see how can we execute it from the dapper?

using IDbConnection connection = new SqlConnection(_connectionString);

var parameters = new DynamicParameters(trackEntryToCreate);
// Input params
parameters.Add("@EntryDate", trackEntryToCreate.EntryDate);
parameters.Add("@SleptAt", trackEntryToCreate.SleptAt);
parameters.Add("@WokeUpAt", trackEntryToCreate.WokeUpAt);
parameters.Add("@NapInMinutes", trackEntryToCreate.NapInMinutes);
parameters.Add("@TotalWorkInMinutes", trackEntryToCreate.TotalWorkInMinutes);
parameters.Add("@Remarks", trackEntryToCreate.Remarks);

// output params
parameters.Add("@TrackEntryId", dbType: DbType.Int32, direction: ParameterDirection.Output);

await connection.ExecuteAsync("CreateTrackEntry", parameters,commandType:CommandType.StoredProcedure);

int trackEntryId = parameters.Get<int>("@TrackEntryId");

Transactions in Dapper

Thu, 20 Mar 2025 09:39:47 +0530

Isn’t it already described in Dapper docs? Sure it is. Why do I bother to write this? Am I just wtiting it for the sake of “posting”? No, I am not. Actually, I was trying to write the code by using Dapper’s docs. Unfortunately, I ran into a few bugs. I am using .NET 9, by the way and this is not even a blog post; it’s just a code snippet. I thought I should share it, may be someone else is facing the same problem as me.

Dotnet Core Api CRUD With Dapper and PostgreSql

Sun, 23 Feb 2025 18:00:17 +0530

💻Source Code: https://github.com/rd003/PostgressDapperDemo

Tools and technology used

VS Code (editor)
.Net 8
Postgres
Dapper

Let’s get started with creating the database first.

create database PersonDb;

Now, create a table within the database.

create table Person
(
 Id serial primary key,
 Name varchar(30) not null,
 Email varchar(30) not null
);

To create a new project you need to run these commands in a sequence.

> dotnet new sln -o PostgressDapperDemo

> cd PostgressDapperDemo

> dotnet sln add .\PostgressDapperDemo\

> code . #this command will open this project in the vs code

Nuget packages

Install the following nuget packages.

Write dapper effectively with generic methods

Wed, 19 Feb 2025 17:40:41 +0530

Dapper is a micro ORM for database connectivity in dotnet and it’s been around for quite a while. It is loved by most of the developers because of its simplicity and performance.

Why dapper?

With the help of dapper you can quickly access the data without writing too much code. It performs very well because we directly write queries and executes them. Developers who loves to work with queries and for the projects, where performance really matters where you wants to write very optimized queries, dapper can be the good choice.