Dapper VS TypeORM

Even those the old backend code to read from a database would work, the code was rewritten using Dapper. Had to add two column aliases in SQL SELECT statements and everything worked.

In this article learn how to create Excel spreadsheet documents from reading data from two SQL-Server table from a modified version of Microsoft NorthWind database using NuGet package Dapper and SpreadSheetLight to create and populate the spreadsheet files.

Learn how to read reference table from SQL-Server using a single method. What is shown provides an efficient way to either use a connection, command objects to read data via a SqlDataReader for conventional work using methods from SqlClient and also Dapper which requires two lines of code to read data and one line of code to store data into list.

https://www.nuget.org/packages/Newtonsoft.Json/ https://www.nuget.org/packages/AutoMapper/ https://www.nuget.org/packages/Dapper/ https://www.nuget.org/packages/FluentValidation/ https://www.nuget.org/packages/FluentAssertions/ https://www.nuget.org/packages/NUnit/ https://www.nuget.org/packages/xunit/ https://www.nuget.org/packages/YamlDotNet/ https://www.nuget.org/packages/Moq/ That is simply not true. Mature c# projects purposely maintain no downstream dependencies and is they do, it's to a major reputable lib. See for yourself - these are staple third party packages commonly used. Anything dependency starting with System or NETStandard is Microsoft maintained.

In this blog post, we are going to discuss how to bind the Syncfusion Blazor DataGrid with a database using Dapper and perform CRUD operations. To demonstrate this, we are going to create a bug tracker database table in MS SQL Server and perform CRUD operations in that table in a Blazor server-side application.

Entity Framework Core StackExchange/Dapper

Like there wouldn't be anything in between /s

There are "simple ORMs" that only map results of SQL queries to objects. They do not provide a magic query API - which is the source of most problems. I don't do Python, but for .NET there is Dapper https://github.com/StackExchange/Dapper, you can have a look what I mean. You write the SQL query, explicitly execute it, the library maps the results of that query into objects (it's C#, so you have to declare the class. In Python I'd imagine it would create the object for you)

To add some differences: EF tracks object state in an instance of a context, Dapper does not. Dapper is strictly for object mapping (taking the output of a query and mapping it onto an object). This makes Dapper far easier to implement, versus EF’s DbContext configuration. Due to the lack of tracking and slimmer wrapping, it’s also faster. Things get really great when you have multiple complex objects and multiple result sets. It takes a lot of boring boilerplate code out of your code.

Just take a look at this Dapper 2.0 feature that's been festering for months years.

If you use Sequalize, TypeORM or for MongoDB, we have Mongoose these types of ORM tools, then you are safe by default because these help us against the SQL query injection attacks by default.

We decided to use MySQL for a database. and TypeOrm for ORM. The ER diagram is provided below. For example, the task_assignments table holds information about user assignments to tasks. While in DDD, there is a pattern to design denormalized tables that reflect the structure of domain objects more directly, but this time, a more conventional table design was chosen. TypeOrm models:

How does this compare to using directly an ORM lib that supports browser like TypeORM [0] via SQL.js [1]?

[0] https://typeorm.io/

* Patch a third-party library that was setting an HTTP header to `null`. NodeJS handles this case just fine, but Deno throws an error [2].

After all of that work, I finally was able to use Deno in my project. It was really cool! Unfortunately, both VS Code and IntelliJ with Deno are essentially unusable [3]. Or, at least, unacceptably slow compared to what I had with NodeJS.

[0]: https://stackoverflow.com/a/66073607

[1]: https://github.com/typeorm/typeorm/issues/6123#issuecomment-...

[2]: https://github.com/Sansossio/twisted/issues/97

[3]: https://github.com/denoland/vscode_deno/issues/895

TypeORM is a very convenient ORM for JS apps. We use it with NestJS and running it on NodeJS.

We are going to start using TypeORM as an ORM to help us interact with Postgres, but we also have an example of using Prisma in the future and everything that we have to adapt to switch the ORMs if necessary. At the end we are implementing neon.tech as a production database, right? 😉

TypeORM is a popular Object-Relational Mapping (ORM) library for Node.js. It provides a high-level abstraction over relational databases, making it easy to perform CRUD (Create, Read, Update, Delete) operations.

TypeORM places its focus on TypeScript and JavaScript (ES7+) development. It offers compatibility with various database systems, including MySQL, PostgreSQL, SQLite, and MongoDB. What sets TypeORM apart is its robust integration with TypeScript. It provides a user-friendly experience with a convenient decorator-based syntax for defining entities and relationships. Additionally, TypeORM supports the repository pattern and enables eager loading, enhancing its versatility for developers.

ᴬ typeorm officially supports mssql@v9, but the support for the custom stream builder was added in mssql@v10. Since mssql is a peer dependency of typeorm, you can force override it and use the Cloud SQL Connector with typeorm. There is an open PR to add support for mssql@v10 in typeorm.