SimpleStack - A Query generator for Dapper

Based on Dapper.NET

Fast Mapping

Dapper web site

Native support for multiple databases

SQLServer, MySQL/MariaDb, PostgreSQL, SQLite and more to come

Checkout code on github

Project on github


SimpleStack.Orm is a layer on top of the wonderful Dapper project that generate SQL queries based on lambda expressions. It is designed to persist POCO classes with a minimal amount of intrusion and configuration. All the generated sql queries are using parameters to improve performance and security.

Main objectives:

  • Map a POCO class 1:1 to an RDBMS table.
  • Create/Drop DB Table schemas using nothing but POCO class definitions (IOTW a true code-first ORM)
  • Simplicity - typed, wrist friendly API for common data access patterns.
  • Fully parameterized queries
  • Cross platform - supports multiple dbs (currently: Sql Server, Sqlite, MySql, PostgreSQL) running on both .NET, .Net Core and Mono platforms.
  • Support connections on multiple databases from the same application

In SimpleStak.Orm : 1 Class = 1 Table. There should be no surprising or hidden behaviour.

Effectively this allows you to create a table from any POCO type and it should persist as expected in a DB Table with columns for each of the classes 1st level public properties. Attributes can be added on your class to tune the way the queries are generated (Alias, Schema, PrimaryKey, Index,…)

Sample usage

using SimpleStack.Orm;
using SimpleStack.Orm.SqlServer;

namespace Test{

   public class sample{

      public class Dog{
         public int Id{get; set;}
         public string Name{get; set;}
         public DateTime? BirthDate{get; set;}
         public decimal Weight{get; set;}
         public string Breed{get; set;}

      var factory = new OrmConnectionFactory(new SqlServerDialectProvider(), "server=...");
      using (var conn = factory.OpenConnection())

         // INSERT INTO "dogs" ("Id", "Name", "birth_date", "Weight", "Breed" ) VALUES (@p_0, @p_1, @p_2, @p_3, @p_4)
         conn.Insert(new Dog{Name="Snoopy", BirthDate = new DateTime(1950,10,01), Weight=25.4});
         conn.Insert(new Dog{Name="Rex", Weight=45.6});
         conn.Insert(new Dog{Name="Popol", BirthDate = new DateTime(1918,09,13), Weight=2});

         // SELECT "Id", "Name", "birth_date" AS BirthDate, "Weight", "Breed"
         // FROM "dogs"
         // WHERE ("Id" = @p_0)
         // ORDER BY 1 -- ORDER BY is mandatory to use OFFSET and FETCH clause in SQLServer
         var rex = conn.First<Dog>(x => Id == 2);

         rex.BirthDate = new DateTime(1994,11,10);

         // UPDATE "dogs" SET "Name"=@p_0, "birth_date"=@p_1, "Weight"=@p_2, "Breed"=@p_3 WHERE "Id"=@p_4

         // DELETE FROM "dogs" WHERE ("Name" = @p_0)
         conn.DeleteAll<Dog>(x => x.Name == "Popol");

         // SELECT "Name", "Breed", "Weight"
         // FROM "dogsbackup"
         // WHERE (DATEPART(year,"birth_date") = @p_0) --will be specific depending on database
         // ORDER BY "Breed" ASC,"Weight" DESC
         conn.Select<Dog>(x => {
             x.From("dogsbackup");                         // Change From clause
             x.Select(y => new {y.Name,y.Breed,y.Weight}); // Only return some fields
             x.Where(y => y.BirthDate.Value.Year == 2019);
             x.OrderBy(y => y.Breed)
              .ThenByDescending(y => y.Weight);

         // SELECT AVG(Weight) AS Weight
         // FROM "dogs"
         conn.GetScalar<Dog, decimal>(x => Sql.Avg(x.Weight))