When dealing with large result sets, pagination is critical to improving performance and efficiency.
#Sqlite transaction rollback code
Write your code here to process the retrieved orders Var orders = connection.Query("GetOrdersByStatus", parameters,ĬommandType: CommandType.StoredProcedure) String orderStatus = customerId, orderStatus, DbType.String) Var parameters = new DynamicParameters() using (var connection = new SqlConnection(connectionString)) The code example given below shows how you can work with stored procedures using Dapper in your ASP.NET Core 7 application. Dapper also supports interaction with the output parameters and return values of stored procedures through the DynamicParameters class, which simplifies how you can work with parameters. You can use the Query, QueryFirstOrDefault, Execute, and similar methods to invoke stored procedures in Dapper. Var transaction = connection.BeginTransaction() Ĭonnection.Execute("INSERT INTO Orders (Id, ProductId, Amount)
The following code example shows how you can perform bulk inserts using Dapper in your ASP.NET Core 7 application. In Dapper, you can perform bulk inserts by passing an enumerable collection of objects to SqlMapperExtensions.Insert. The SqlBulkCopy class in ADO.NET enables efficient data transfer between a source and a database. var connection = new SqlConnection(connectionString) //Connecting to SQL Server database var connection = new OracleConnection(connectionString) //Connecting to Oracle database var connection = new MySqlConnection(connectionString) //Connecting to MySQL database var connection = new NpgsqlConnection(connectionString) //Connecting to PostgreSQL database Bulk insertĭapper provides bulk insert operations that can significantly boost performance when you’re trying to insert large volumes of data into your database. The following code snippets show how you can connect to these different databases using Dapper. String query = "SELECT * from Authors A Inner Join Books B ON A.Id = B.AuthorId" Īuthor.Books = author.Books ? new List() ĭapper provides support for connecting to and working with multiple types of databases such as SQL Server, Oracle Database, MySQL, and PostgreSQL. Using (var connection = new SqlConnection(connectionString)) string connectionString = "Specify the connection string to connect to your database." The following code snippet illustrates how you can implement multi-mapping using Dapper. By passing a delegate function as an argument to the Query method or QueryAsync method, you can instruct Dapper to map the results of a query to different objects. This type of query can be used to get relevant data from numerous tables with a single query. In this section, we’ll examine some of the advanced features of Dapper with relevant code examples.ĭapper's multi-mapping functionality allows you to map query results to multiple objects. Compared to other ORMs, Dapper is lightweight, fast, and simple, designed with performance and usability in mind. These include Microsoft SQL Server, Oracle Database, MySQL, PostgreSQL, SQLite, and SQL CE.
NET Core that supports a wide range of databases. Dapper is an open source project on GitHub.ĭapper is a lightweight, high performance, micro-ORM framework for. The Stack Overflow team created Dapper to be a simple ORM for. Object-relational mappers have been used for many years to address the “impedance mismatch” between object models in programming languages and data models in relational databases. We’ll use this ASP.NET Core 7 Web API project to work with advanced features of Dapper in the sections below.
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