![]() ![]() UnitPrice = reader.GetDecimal(reader.GetOrdinal("UnitPrice")), QuantityPerUnit = reader.GetString(reader.GetOrdinal("QuantityPerUnit")), SupplierId = reader.GetInt32(reader.GetOrdinal("SupplierId")),ĬategoryId = reader.GetInt32(reader.GetOrdinal("CategoryId")), ProductName = reader.GetString(reader.GetOrdinal("ProductName")), ProductId = reader.GetInt32(reader.GetOrdinal("ProductId")), Using (var reader = command.ExecuteReader()) Using (var command = new SqlCommand(sql, connection)) Using (var connection = new SqlConnection(connString)) Here is a standard ADO.NET C# code for retrieving data from a database and materializing it as a collection of Product objects: var sql = "select * from products" There is no reason why you cannot use both an ORM and a micro ORM in the same project. It is not reliant on conventions in the same way as Entity Framework Core, so Dapper is also a good choice where the database structure isn't particularly normalized.ĭapper works with an ADO.NET IDbConnection object, which means that it will work with any database system for which there is an ADO.NET provider. So you need to be comfortable writing queries in SQL or have someone write them for you.ĭapper has no real expectations about the schema of your database. NET languages to SQL like a full-blown ORM. the web) where there is no need to persist complex object graphs in memory for any duration.ĭapper does not translate queries written in. ![]() It is particularly good in stateless scenarios (e.g. However, they found that query performance wasn't good enough for the increasing traffic that the site in question (Stack Overflow) was experiencing, so they wrote their own micro ORM.ĭapper is, therefore, a good choice in scenarios where read-only data changes frequently and is requested often. The original developers of Dapper were using Entity Framework Core's predecessor - the short-lived Linq to SQL. When deciding whether to use Dapper or not, one should bear in mind the primary reason for its existence - performance. Third-party libraries such as Dapper Plus can generate the full SQL for insert, update, and delete statements When Should You Use Dapper? Dapper does generate SQL but in a limited fashion. Some extensions have been added to Dapper that provide the minimal change-tracking capability The following table provides a general idea of the capabilities that you can expect to find in a micro ORM compared to an ORM:ĭapper concentrates its efforts on the O and M of ORM - Object Mapping. These tools perform only a subset of the functionality of full-blown Object Relations Mappers, such as Entity Framework Core, but Dapper is known for its speed and simple implementation compared to others. Is Dapper an ORM?ĭapper falls into a family of tools known as micro-ORMs. In fact, Dapper was written in C# and is a popular choice for data access in C# applications because of its simplicity and efficiency. Yes, you can use Dapper with C# as multiple other languages, such as VB.NET and F#. NET library, which means that it can be used on any platform that supports. NET Core since the release of version 1.50 in July 2016. Additionally, dapper supports parameterized queries to help protect against SQL injection attacks.It has excellent support for both asynchronous and synchronous database queries and batching multiple queries together into a single call.NET language, such as C#, that enables developers to quickly and easily map query results from ADO.NET data readers to instances of business objects. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |