If you like your code runs fast, probably you know about Micro ORMs. They are simple and one of their main goal is be the fastest way to execute your SQL sentences on your data repositories. However, for some of them you need to write your own SQL sentences. This is the case of two of the most popular Micro ORMs Dapper and OrmLite
The idea of this tool is to abstract the generation of the SQL sentence for CRUD operations based on each POCO class "metadata". We known there are plugins for both Micro ORMs to implement the execution of this kind of tasks, but that's exactly the difference of this tool. The "SQL Generator" is a generic component that generates all the CRUD sentences for a POCO class based on its definition with the possibility to override the way the SQL generator builds each sentence.
- Avoid to write SQL.
- Avoid to possibly overwhelm your application by using Reflection on each CRUD operation execution. The best idea about this is handling SQL Generators as singletons.
- Abstract the SQL generation process and reuse the same implementation with both Micro ORMs Dapper and OrmLite or even other kind of tools rather than Micro ORMs
This is the set of attributes to specify POCOs metadata. All of them are under the "MicroOrm.Pocos.SqlGenerator.Attributes" namespace:
For property or properties that compose the primary key of the table. If Identity optional parameter is not specified, its default value will be false.
Tables with identity primary keys need to set the extra parameter "Identity" to true and only one single property might be decorated with this attribute, like this [KeyProperty(Identity = true)].
For classes or properties that don't match name with its corresponding table or column. Use this attribute to specify the table or column name that the SQL Generator has to use.
Use this attribute to decorate those tables that does not belong to the default database scheme.
For "logical" properties that does not have a corresponding column and have to be ignored by the SQL Generator.
For tables that implements "logical deletes" instead of physical deletes. This attribute can decorate only enum properties and one of the possible values for that enumeration has to be decorated with the "Deleted" attribute
Brother of the previous attribute. Use this to decorate the enum value that specifies the logical delete value for the status property.
- By default the SQL Generator is going to map the POCO name with the table name, and each public property to a column.
- If the
StatusPropertyis used on a certain POCO, the "delete" sentence will be an update instead of a delete. - KeyProperties with the "Identity" parameter set to true is going to generate "insert" statements including the new generated id as return value.
- Complex primary keys are supported.
Lets see some SQL sentences examples that this tool will create. "Users" POCO:
[StoredAs("Users")]
public class User
{
[KeyProperty(Identity = true)]
public int Id { get; set; }
public string Login { get; set;}
[StoredAs("FName")]
public string FirstName { get; set; }
[StoredAs("LName")]
public string LastName { get; set; }
public string Email { get; set; }
[StatusProperty]
public UserStatus Status { get; set; }
[NonStored]
public string FullName
{
get
{
return string.Format("{0} {1}", FirstName, LastName);
}
}
}
UserStatus enum, this supports logical deletes for the "User" POCO:
public enum UserStatus : byte
{
Registered = 1,
Active = 2,
[Deleted]
Inactive = 3
}
The entity "analysis" takes place when the SQL Generator is created, like this:
ISqlGenerator<User> sqlGenerator = new SqlGenerator<User>();
When the SQL Generator is created, it executes all the analysis of the entity based on each property and it is ready to generate whatever CRUD sentence for the given POCO. That's why handling the SQL Generators as singletons could be considered a good practice, because that way you will reduce the frequent use of Reflection. Something like this:
//Singleton implementation of a SQL Generator for "User" POCO
public static class UserSqlGenerator : SqlGenerator<User>
{
//Private instance
private static UserSqlGenerator _instance = new UserSqlGenerator();
//Public instance (singleton)
public static UserSqlGenerator Instance
{
get
{
return _instance;
}
}
//Private constructor
private UserSqlGenerator()
{
}
}
You can go furthermore and use Dependency Injection in order to configure your SQL Generators. This pseudo code example is using Autofac as container implementation:
//Registering your SQL Generators into the DI container
DI.Container.RegisterType<SqlGenerator<User>>().As<ISqlGenerator<User>>().Singleton();
//How to get your "User" SQL Generator
var userSqlGenerator = DI.Container.Resolve<ISqlGenerator<User>>();
Based on the previous "User" POCO, this are the generated sentences:
//Using DI
var sqlGenerator = DI.Container.Resolve<ISqlGenerator<User>>();
var insert = sqlGenerator.GetInsert();
//Or using the normal singleton
var insert = UserSqlGenerator.Instance.GetInsert();
Generates:
INSERT INTO [Users] ([Users].[Login], [Users].[FName], [Users].[LName], [Users].[Email], [Users].[Status])
VALUES (@Login, @FirstName, @LastName, @Email, @Status)
DECLARE @NEWID NUMERIC(38, 0)
SET @NEWID = SCOPE_IDENTITY()
SELECT @NEWID
//Using DI
var sqlGenerator = DI.Container.Resolve<ISqlGenerator<User>>();
var update = sqlGenerator.GetUpdate();
//Or using the normal singleton
var update = UserSqlGenerator.Instance.GetUpdate();
Generates:
UPDATE [Users]
SET [Users].[Login] = @Login,
[Users].[FName] = @FirstName,
[Users].[LName] = @LastName,
[Users].[Email] = @Email,
[Users].[Status] = @Status
WHERE [Users].[Id] = @Id
//Using DI
var sqlGenerator = DI.Container.Resolve<ISqlGenerator<User>>();
var delete = sqlGenerator.GetDelete();
//Or using the normal singleton
var delete = UserSqlGenerator.Instance.GetDelete();
Generates:
//Logical delete
UPDATE [Users]
SET [Users].[Status] = 3
WHERE [Users].[Id] = @Id
//Using DI
var sqlGenerator = DI.Container.Resolve<ISqlGenerator<User>>();
var selectAll = sqlGenerator.GetSelectAll();
//Or using the normal singleton
var selectAll = UserSqlGenerator.Instance.GetSelectAll();
Generates:
SELECT [Users].[Id],
[Users].[Login],
[Users].[FName] AS [FirstName],
[Users].[LName] AS [LastName],
[Users].[Email],
[Users].[Status]
FROM [Users] WITH (NOLOCK)
WHERE [Users].[Status] != 3
//Using DI
var sqlGenerator = DI.Container.Resolve<ISqlGenerator<User>>();
var selectBy = sqlGenerator.GetSelect(new { FirstName = "" });
//Or using the normal singleton
var selectBy = UserSqlGenerator.Instance.GetSelect(new { FirstName = "" });
Generates:
SELECT [Users].[Id],
[Users].[Login],
[Users].[FName] AS [FirstName],
[Users].[LName] AS [LastName],
[Users].[Email],
[Users].[Status]
FROM [Users] WITH (NOLOCK)
WHERE [Users].[FName] = @FirstName
AND [Users].[Status] != 3
At this point we have: our POCOS, Micro ORMs, something to generate our SQL sentences and the Repository Pattern, lets make all this work together. Lets build a "Users" data repository using Dapper:
The POCO (again):
[StoredAs("Users")]
public class User
{
[KeyProperty(Identity = true)]
public int Id { get; set; }
public string Login { get; set;}
[StoredAs("FName")]
public string FirstName { get; set; }
[StoredAs("LName")]
public string LastName { get; set; }
public string Email { get; set; }
[StatusProperty]
public UserStatus Status { get; set; }
[NonStored]
public string FullName
{
get
{
return string.Format("{0} {1}", FirstName, LastName);
}
}
}
public enum UserStatus : byte
{
Registered = 1,
Active = 2,
[Deleted]
Inactive = 3
}
The repository contract:
public interface IUsersRepository
{
IEnumerable<User> GetAll();
IEnumerable<User> GetWhere(object filters);
User GetFirst(object filters);
bool Insert(User instance);
bool Update(User instance);
bool Delete(object key);
}
The repository implementation:
using Dapper;
public class UsersRepository : IUsersRepository
{
//Static SQL Generator
private static SqlGenerator<User> SqlGenerator = new SqlGenerator<User>();
//Database connection
protected IDbConnection Connection { get; private set; }
//Constructor
public UsersRepository(IDbConnection connection)
{
this.Connection = connection;
}
//Select all
public IEnumerable<User> GetAll()
{
return Connection.Query<User>(SqlGenerator.GetSelectAll());
}
//Select by
public IEnumerable<User> GetWhere(object filters)
{
return Connection.Query<User>(SqlGenerator.GetSelect(filters), filters);
}
//Select first by
public User GetFirst(object filters)
{
return GetWhere(filters).FirstOrDefault();
}
//Insert
public bool Insert(User instance)
{
var newId = Connection.Query<decimal>(SqlGenerator.GetInsert(), instance).Single();
var inserted = newId > 0;
if(inserted)
{
instance.Id = (int)newId;
}
return inserted;
}
//Update
public bool Update(User instance)
{
return Connection.Execute(SqlGenerator.GetUpdate(), instance) > 0;
}
//Delete
public bool Delete(int id)
{
return Connection.Execute(SqlGenerator.GetDelete(), id) > 0;
}
}
And then, use it like this:
//POCO instance
var user = new User
{
FirstName = "John",
LastName = "Smith",
Login = "[email protected]",
Email = "[email protected]",
Status = UserStatus.Registered
};
//Repository instance
IUsersRepository usersRepository = new UsersRepository();
//Insert the user
var inserted = usersRepository.Insert(user);
if(inserted)
{
//Retrieve the new user
var sameUser = usersRepository.GetFirst(new { Email = "[email protected]" });
if(user != null)
{
//Update the new user
user.Email = "[email protected]";
user.Status = UserStatus.Active;
usersRepository.Update(user);
}
}
//Select all
var allUsers = usersRepository.GetAll();
//Select filtered
var allActiveJohns = usersRepository.GetWhere(new { FirstName = "John", Status = UserStatus.Active });
//Delete each active John
foreach (var activeJohn in allActiveJohns)
{
usersRepository.Delete(activeJohn.Id);
}
Practically the same code will work using OrmLite instead of Dapper, that's one of the main benefits of this tool.
And... you are no writing any SQL.
The MIT License (MIT)
Copyright (c) 2014 Diego García
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.