Follow @demisbellot and @ServiceStack for twitter updates. Ask questions on StackOverflow.
ServiceStack.OrmLite is a convention-based, configuration-free lightweight ORM that uses standard POCO classes and Data Annotation attributes to infer its table schema.
ServiceStack.OrmLite is an independent library and can be used with or without the ServiceStack webservices framework.
OrmLite is a set of light-weight C# extension methods around System.Data.* interfaces which is designed to persist POCO classes with a minimal amount of intrusion and configuration.
Another Orm with similar goals is sqlite-net by Frank Krueger.
OrmLite was designed with a focus on the core objectives:
- Map a POCO class 1:1 to an RDBMS table, cleanly by conventions, without any attributes required.
- 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.
- High performance - with support for indexes, text blobs, etc.
- Amongst the fastest Micro ORMs for .NET (just behind Dapper).
- Expressive power and flexibility - with access to IDbCommand and raw SQL
- Cross platform - supports multiple dbs (currently: Sql Server, Sqlite, MySql, PostgreSQL, Firebird) running on both .NET and Mono platforms.
In OrmLite: 1 Class = 1 Table. There's no hidden behaviour behind the scenes auto-magically managing hidden references to other tables. Any non-scalar properties (i.e. complex types) are text blobbed in a schema-less text field using .NET's fastest Text Serializer. 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.
- Sql Server
- MySql
- PostgreSQL
- Oracle
- Firebird
- Sqlite32 - 32bit Mixed mode .NET only assembly
- Sqlite64 - 64bit Mixed mode .NET only assembly
- Sqlite.Mono - 32bit unmanaged dll, compatible with .NET / Mono
OrmLite.SqlServer is also included in ServiceStack.
For environments that doesn't have NuGet installed (e.g. OSX/Linux) you can still download the published binaries by extracting them from the published NuGet packages. The url to download a nuget package is:
http://packages.nuget.org/api/v1/package/{PackageName}/{Version}
So to get the OrmLite MySQL provider in OSX/Linux (or using gnu tools for Windows) you can just do:
wget -O OrmLite.MySql.zip http://packages.nuget.org/api/v1/package/ServiceStack.OrmLite.MySql/3.9.45
unzip OrmLite.MySql.zip 'lib/*'
which will download and extract the dlls into your local local lib/ folder.
Please upgrade your client code to use non-deprecated methods as we will be removing access to deprecated APIs in the next release of OrmLite.
Guru Kathiresan continues to enhance OrmLite's T4 Template support which are useful when you want to automatically generate POCO's and strong-typed wrappers for executing stored procedures.
We've now added API's that use parameterized statements for all SQL operations, these are identified with a Param suffix, e.g:
db.InsertParam(new Person { Id = 1, FirstName = "Jimi", LastName = "Hendrix", Age = 27})
db.UpdateParam(new Person { Id = 1, FirstName = "Jimi", LastName = "Hendrix", Age = 27})
db.DeleteByIdParam<Person>(1)var people = db.SelectParam<Person>(q => q.Age == 27)
var person = db.GetByIdParam<Person>(1)
//Existing parameterized query API's
var people = db.Where<Person>(new { FirstName = "Jimi", Age = 27 })
var people = db.Query<Track>("FirstName = @name and Age = @age", new { name = "Jimi", age = 27 })Apart from a slight performance increase, parameterized API's now lets you insert and update binary blob data. At the same time as these new parameterized API's, we've also added support for querying binary blob data.
Prior to v3.9.45 the ways to execute custom SQL was with db.ExecuteSql() which as it only returned an int code, users were using db.Query to read arbitrary sql returning tabular resultsets. However db.Query is only intended for SELECT statements. For this purpose we've introduced new API's for executing custom sql, e.g:
List<Poco> results = db.SqlList<Poco>("EXEC GetAnalyticsForWeek 1");
List<Poco> results = db.SqlList<Poco>("EXEC GetAnalyticsForWeek @weekNo", new { weekNo = 1 });
List<int> results = db.SqlList<int>("EXEC GetTotalsForWeek 1");
List<int> results = db.SqlList<int>("EXEC GetTotalsForWeek @weekNo", new { weekNo = 1 });
int result = db.SqlScalar<int>("SELECT 10");Some more examples can be found in SqlServerProviderTests.
We've streamlined our API, now all OrmLite extensions that used to be on IDbCommand now hang off IDbConnection
(just like Dapper), this reduces the boiler-plate when opening a connection to a single line, so now you can
create a table and insert a record with just:
using (IDbConnection db = dbFactory.OpenDbConnection()) {
db.CreateTable<Employee>();
db.Insert(new Employee { Id = 1, Name = "Employee 1" });
}The methods off
IDbCommandhave now been deprecated and will one day be removed. Update your library.
Creating a foreign key in OrmLite can be done by adding [References(typeof(ForeignKeyTable))] on the relation property,
which will result in OrmLite creating the Foreign Key relationship when it creates the DB table with db.CreateTable<Poco>.
@brainless83 has extended this support further by adding more finer-grain options
and behaviours with the new [ForeignKey] attribute which will now let you specify the desired behaviour when deleting
or updating related rows in Foreign Key tables.
An example of a table with all the different options:
public class TableWithAllCascadeOptions
{
[AutoIncrement] public int Id { get; set; }
[References(typeof(ForeignKeyTable1))]
public int SimpleForeignKey { get; set; }
[ForeignKey(typeof(ForeignKeyTable2), OnDelete = "CASCADE", OnUpdate = "CASCADE")]
public int? CascadeOnUpdateOrDelete { get; set; }
[ForeignKey(typeof(ForeignKeyTable3), OnDelete = "NO ACTION")]
public int? NoActionOnCascade { get; set; }
[Default(typeof(int), "17")]
[ForeignKey(typeof(ForeignKeyTable4), OnDelete = "SET DEFAULT")]
public int SetToDefaultValueOnDelete { get; set; }
[ForeignKey(typeof(ForeignKeyTable5), OnDelete = "SET NULL")]
public int? SetToNullOnDelete { get; set; }
}The ForeignKeyTests show the resulting behaviour with each of these configurations in more detail.
Note: Only supported on RDBMS's with foreign key/referential action support, e.g. Sql Server, PostgreSQL, MySQL. Otherwise they're ignored.
We now support multiple nested database connections so you can now trivially use OrmLite to access multiple databases
on different connections. The OrmLiteConnectionFactory class has been extended to support named connections which
allows you to conveniently define all your db connections when you register it in your IOC and access them with the
named property when you use them.
A popular way of scaling RDBMS's is to create a Master / Shard setup where datasets for queries that span entire system are kept in the master database, whilst context-specific related data can be kept together in an isolated shard. This feature makes it trivial to maintain multiple separate db shards with a master database in a different RDBMS.
Here's an (entire source code) sample of the code needed to define, and populate a Master/Shard setup. Sqlite can create DB shards on the fly so only the blank SqlServer master database needed to be created out-of-band:
public class MasterRecord {
public Guid Id { get; set; }
public int RobotId { get; set; }
public string RobotName { get; set; }
public DateTime? LastActivated { get; set; }
}
public class Robot {
public int Id { get; set; }
public string Name { get; set; }
public bool IsActivated { get; set; }
public long CellCount { get; set; }
public DateTime CreatedDate { get; set; }
}
const int NoOfShards = 10;
const int NoOfRobots = 1000;
var dbFactory = new OrmLiteConnectionFactory(
"Data Source=host;Initial Catalog=RobotsMaster;Integrated Security=SSPI", //Connection String
SqlServerDialect.Provider);
dbFactory.Run(db => db.CreateTable<MasterRecord>(overwrite:false));
NoOfShards.Times(i => {
var namedShard = "robots-shard" + i;
dbFactory.RegisterConnection(namedShard,
"~/App_Data/{0}.sqlite".Fmt(shardId).MapAbsolutePath(), //Connection String
SqliteDialect.Provider);
dbFactory.OpenDbConnection(namedShard).Run(db => db.CreateTable<Robot>(overwrite:false));
});
var newRobots = NoOfRobots.Times(i => //Create 1000 Robots
new Robot { Id=i, Name="R2D"+i, CreatedDate=DateTime.UtcNow, CellCount=DateTime.Now.ToUnixTimeMs() % 100000 });
foreach (var newRobot in newRobots)
{
using (IDbConnection db = dbFactory.OpenDbConnection()) //Open Connection to Master DB
{
db.Insert(new MasterRecord { Id = Guid.NewGuid(), RobotId = newRobot.Id, RobotName = newRobot.Name });
using (IDbConnection robotShard = dbFactory.OpenDbConnection("robots-shard"+newRobot.Id % NoOfShards)) //Shard
{
robotShard.Insert(newRobot);
}
}
}Using the SQLite Manager Firefox extension
we can peek at one of the created shards to see 100 Robots in each shard. This is the dump of robots-shard0.sqlite:
As expected each shard has every 10th robot inside.
We've now added SQL Expression support to bring you even nicer LINQ-liked querying to all our providers. To give you a flavour here are some examples with their partial SQL output (done in SQL Server):
int agesAgo = DateTime.Today.AddYears(-20).Year;
db.Select<Author>(q => q.Birthday >= new DateTime(agesAgo, 1, 1) && q.Birthday <= new DateTime(agesAgo, 12, 31));WHERE (("Birthday" >= '1992-01-01 00:00:00.000') AND ("Birthday" <= '1992-12-31 00:00:00.000'))
db.Select<Author>(q => Sql.In(q.City, "London", "Madrid", "Berlin"));WHERE "JobCity" In ('London', 'Madrid', 'Berlin')
db.Select<Author>(q => q.Earnings <= 50);WHERE ("Earnings" <= 50)
db.Select<Author>(q => q.Name.StartsWith("A"));WHERE upper("Name") like 'A%'
db.Select<Author>(q => q.Name.EndsWith("garzon"));WHERE upper("Name") like '%GARZON'
db.Select<Author>(q => q.Name.Contains("Benedict"));WHERE upper("Name") like '%BENEDICT%'
db.Select<Author>(q => q.Rate == 10 && q.City == "Mexico");WHERE (("Rate" = 10) AND ("JobCity" = 'Mexico'))
Right now the Expression support can satisfy most simple queries with a strong-typed API. For anything more complex (e.g. queries with table joins) you can still easily fall back to raw SQL queries as seen below.
To see the behaviour of the different APIs, all examples uses this simple model
public class Person
{
public int Id { get; set; }
public string FirstName { get; set; }
public string LastName { get; set; }
public int? Age { get; set; }
}In its most simple form, updating any model without any filters will update every field, except the Id which is used to filter the update to this specific record:
db.Update(new Person { Id = 1, FirstName = "Jimi", LastName = "Hendrix", Age = 27});UPDATE "Person" SET "FirstName" = 'Jimi',"LastName" = 'Hendrix',"Age" = 27 WHERE "Id" = 1
If you supply your own where expression, it updates every field (inc. Id) but uses your filter instead:
db.Update(new Person { Id = 1, FirstName = "JJ" }, p => p.LastName == "Hendrix");UPDATE "Person" SET "Id" = 1,"FirstName" = 'JJ',"LastName" = NULL,"Age" = NULL WHERE ("LastName" = 'Hendrix')
One way to limit the fields which gets updated is to use an Anonymous Type:
db.Update<Person>(new { FirstName = "JJ" }, p => p.LastName == "Hendrix");Or by using UpdateNonDefaults which only updates the non-default values in your model using the filter specified:
db.UpdateNonDefaults(new Person { FirstName = "JJ" }, p => p.LastName == "Hendrix");UPDATE "Person" SET "FirstName" = 'JJ' WHERE ("LastName" = 'Hendrix')
As updating a partial row is a common use-case in Db's, we've added a number of methods for just this purpose, named UpdateOnly.
The first expression in an UpdateOnly statement is used to specify which fields should be updated:
db.UpdateOnly(new Person { FirstName = "JJ" }, p => p.FirstName);UPDATE "Person" SET "FirstName" = 'JJ'
db.UpdateOnly(new Person { FirstName = "JJ", Age = 12 }, p => new { p.FirstName, p.Age });UPDATE "Person" SET "FirstName" = 'JJ', "Age" = 12
When present, the second expression is used as the where filter:
db.UpdateOnly(new Person { FirstName = "JJ" }, p => p.FirstName, p => p.LastName == "Hendrix");UPDATE "Person" SET "FirstName" = 'JJ' WHERE ("LastName" = 'Hendrix')
Instead of using the expression filters above you can choose to use an ExpressionVisitor builder which provides more flexibility when you want to programatically construct the update statement:
db.UpdateOnly(new Person { FirstName = "JJ", LastName = "Hendo" }, ev => ev.Update(p => p.FirstName));UPDATE "Person" SET "FirstName" = 'JJ'
db.UpdateOnly(new Person { FirstName = "JJ" }, ev => ev.Update(p => p.FirstName).Where(x => x.FirstName == "Jimi"));UPDATE "Person" SET "FirstName" = 'JJ' WHERE ("LastName" = 'Hendrix')
For the ultimate flexibility we also provide un-typed, string-based expressions. Use the .Params() extension method
escape parameters (inspired by massive):
db.Update<Person>(set: "FirstName = {0}".Params("JJ"), where: "LastName = {0}".Params("Hendrix"));Even the Table name can be a string so you perform the same update without requiring the Person model at all:
db.Update(table: "Person", set: "FirstName = {0}".Params("JJ"), where: "LastName = {0}".Params("Hendrix"));UPDATE "Person" SET FirstName = 'JJ' WHERE LastName = 'Hendrix'
Insert's are pretty straight forward since in most cases you want to insert every field:
db.Insert(new Person { Id = 1, FirstName = "Jimi", LastName = "Hendrix", Age = 27 });INSERT INTO "Person" ("Id","FirstName","LastName","Age") VALUES (1,'Jimi','Hendrix',27)
But do provide an API that takes an Expression Visitor for the rare cases you don't want to insert every field
db.InsertOnly(new Person { FirstName = "Amy" }, ev => ev.Insert(p => new { p.FirstName }));INSERT INTO "Person" ("FirstName") VALUES ('Amy')
Like updates for DELETE's we also provide APIs that take a where Expression:
db.Delete<Person>(p => p.Age == 27);Or an Expression Visitor:
db.Delete<Person>(ev => ev.Where(p => p.Age == 27));DELETE FROM "Person" WHERE ("Age" = 27)
As well as un-typed, string-based expressions:
db.Delete<Person>(where: "Age = {0}".Params(27));Which also can take a table name so works without requiring a typed Person model
db.Delete(table: "Person", where: "Age = {0}".Params(27));DELETE FROM "Person" WHERE Age = 27
Below is a complete stand-alone example. No other config or classes is required for it to run. It's also available as a stand-alone unit test.
public enum PhoneType {
Home,
Work,
Mobile,
}
public enum AddressType {
Home,
Work,
Other,
}
public class Address {
public string Line1 { get; set; }
public string Line2 { get; set; }
public string ZipCode { get; set; }
public string State { get; set; }
public string City { get; set; }
public string Country { get; set; }
}
public class Customer {
public Customer() {
this.PhoneNumbers = new Dictionary<PhoneType, string>();
this.Addresses = new Dictionary<AddressType, Address>();
}
[AutoIncrement] // Creates Auto primary key
public int Id { get; set; }
public string FirstName { get; set; }
public string LastName { get; set; }
[Index(Unique = true)] // Creates Unique Index
public string Email { get; set; }
public Dictionary<PhoneType, string> PhoneNumbers { get; set; } //Blobbed
public Dictionary<AddressType, Address> Addresses { get; set; } //Blobbed
public DateTime CreatedAt { get; set; }
}
public class Order {
[AutoIncrement]
public int Id { get; set; }
[References(typeof(Customer))] //Creates Foreign Key
public int CustomerId { get; set; }
[References(typeof(Employee))] //Creates Foreign Key
public int EmployeeId { get; set; }
public Address ShippingAddress { get; set; } //Blobbed (no Address table)
public DateTime? OrderDate { get; set; }
public DateTime? RequiredDate { get; set; }
public DateTime? ShippedDate { get; set; }
public int? ShipVia { get; set; }
public decimal Freight { get; set; }
public decimal Total { get; set; }
}
public class OrderDetail {
[AutoIncrement]
public int Id { get; set; }
[References(typeof(Order))] //Creates Foreign Key
public int OrderId { get; set; }
public int ProductId { get; set; }
public decimal UnitPrice { get; set; }
public short Quantity { get; set; }
public decimal Discount { get; set; }
}
public class Employee {
public int Id { get; set; }
public string Name { get; set; }
}
public class Product {
public int Id { get; set; }
public string Name { get; set; }
public decimal UnitPrice { get; set; }
}
//Setup SQL Server Connection Factory
var dbFactory = new OrmLiteConnectionFactory(
@"Data Source=.\SQLEXPRESS;AttachDbFilename=|DataDirectory|\App_Data\Database1.mdf;Integrated Security=True;User Instance=True",
SqlServerDialect.Provider);
//Use in-memory Sqlite DB instead
//var dbFactory = new OrmLiteConnectionFactory(
// ":memory:", false, SqliteDialect.Provider);
//Non-intrusive: All extension methods hang off System.Data.* interfaces
IDbConnection db = dbFactory.OpenDbConnection();
//Re-Create all table schemas:
db.DropTable<OrderDetail>();
db.DropTable<Order>();
db.DropTable<Customer>();
db.DropTable<Product>();
db.DropTable<Employee>();
db.CreateTable<Employee>();
db.CreateTable<Product>();
db.CreateTable<Customer>();
db.CreateTable<Order>();
db.CreateTable<OrderDetail>();
db.Insert(new Employee { Id = 1, Name = "Employee 1" });
db.Insert(new Employee { Id = 2, Name = "Employee 2" });
var product1 = new Product { Id = 1, Name = "Product 1", UnitPrice = 10 };
var product2 = new Product { Id = 2, Name = "Product 2", UnitPrice = 20 };
db.Save(product1, product2);
var customer = new Customer
{
FirstName = "Orm",
LastName = "Lite",
Email = "ormlite@servicestack.net",
PhoneNumbers =
{
{ PhoneType.Home, "555-1234" },
{ PhoneType.Work, "1-800-1234" },
{ PhoneType.Mobile, "818-123-4567" },
},
Addresses =
{
{ AddressType.Work, new Address { Line1 = "1 Street", Country = "US", State = "NY", City = "New York", ZipCode = "10101" } },
},
CreatedAt = DateTime.UtcNow,
};
db.Insert(customer);
var customerId = db.GetLastInsertId(); //Get Auto Inserted Id
customer = db.QuerySingle<Customer>(new { customer.Email }); //Query
Assert.That(customer.Id, Is.EqualTo(customerId));
//Direct access to System.Data.Transactions:
using (var trans = db.OpenTransaction(IsolationLevel.ReadCommitted))
{
var order = new Order
{
CustomerId = customer.Id,
EmployeeId = 1,
OrderDate = DateTime.UtcNow,
Freight = 10.50m,
ShippingAddress = new Address { Line1 = "3 Street", Country = "US", State = "NY", City = "New York", ZipCode = "12121" },
};
db.Save(order); //Inserts 1st time
order.Id = (int)db.GetLastInsertId(); //Get Auto Inserted Id
var orderDetails = new[] {
new OrderDetail
{
OrderId = order.Id,
ProductId = product1.Id,
Quantity = 2,
UnitPrice = product1.UnitPrice,
},
new OrderDetail
{
OrderId = order.Id,
ProductId = product2.Id,
Quantity = 2,
UnitPrice = product2.UnitPrice,
Discount = .15m,
}
};
db.Insert(orderDetails);
order.Total = orderDetails.Sum(x => x.UnitPrice * x.Quantity * x.Discount) + order.Freight;
db.Save(order); //Updates 2nd Time
trans.Commit();
}Running this against a SQL Server database will yield the results below:
Notice the POCO types are stored in the very fast and Versatile JSV Format which although hard to do - is actually more compact, human and parser-friendly than JSON :)
The API is minimal, providing basic shortcuts for the primitive SQL statements:
Nearly all extension methods hang off the implementation agnostic IDbCommand.
CreateTable<T> and DropTable<T> create and drop tables based on a classes type definition (only public properties used).
For a one-time use of a connection, you can query straight of the IDbConnectionFactory with:
var customers = dbFactory.Run(db => db.Where<Customer>(new { Age = 30 }));The Select methods allow you to construct Sql using C# string.Format() syntax.
If your SQL doesn't start with a SELECT statement, it is assumed a WHERE clause is being provided, e.g:
var tracks = db.Select<Track>("Artist = {0} AND Album = {1}", "Nirvana", "Heart Shaped Box");The same results could also be fetched with:
var tracks = db.Select<Track>("select * from track WHERE Artist={0} AND Album={1}", "Nirvana", "Heart Shaped Box");Select returns multiple records
List<Track> tracks = db.Select<Track>()Single returns a single record. Alias: First
Track track = db.Single<Track>("RefId = {0}", refId)Dictionary returns a Dictionary made from the first two columns. Alias: GetDictionary
Dictionary<int, string> trackIdNamesMap = db.Dictionary<int, string>("select Id, Name from Track")Lookup returns an Dictionary<K, List<V>> made from the first to columns. Alias: GetLookup
Dictionary<int, List<string>> albumTrackNames = db.Lookup<int, string>("select AlbumId, Name from Track")List returns a List of first column values. Alias: GetList
List<string> trackNames = db.List<string>("select Name from Track")HashSet returns a HashSet of distinct first column values. Alias: GetHashSet
HashSet<string> uniqueTrackNames = db.HashSet<string>("select Name from Track")Scalar returns a single scalar value. Alias: GetScalar
var trackCount = db.Scalar<int>("select count(*) from Track")All Insert, Update, and Delete methods take multiple params, while InsertAll, UpdateAll and DeleteAll take IEnumerables.
GetLastInsertId returns the last inserted records auto incremented primary key.
Save and SaveAll will Insert if no record with Id exists, otherwise it Updates.
Both take multiple items, optimized to perform a single read to check for existing records and are executed within a sinlge transaction.
Methods containing the word Each return an IEnumerable and are lazily loaded (i.e. non-buffered).
Selection methods containing the word Query or Where use parameterized SQL (other selection methods do not). Anonymous types passed into Where are treated like an AND filter.
var track3 = db.Where<Track>(new { AlbumName = "Throwing Copper", TrackNo = 3 })Query statements take in parameterized SQL using properties from the supplied anonymous type (if any)
var track3 = db.Query<Track>("select * from Track Where AlbumName = @album and TrackNo = @trackNo",
new { album = "Throwing Copper", trackNo = 3 })GetById(s), QueryById(s), etc provide strong-typed convenience methods to fetch by a Table's Id primary key field.
var track = db.QueryById<Track>(1);
var track = db.Id<Track>(1); //Alias: GetById
var tracks = db.Ids<Track>(new[]{ 1,2,3 }); //Alias: GetByIdsFor simplicity, and to be able to have the same POCO class persisted in db4o, memcached, redis or on the filesystem
(i.e. providers included in ServiceStack), each model must have a single primary key, by convention OrmLite expects it
to be Id although you use [Alias("DbFieldName")] attribute it map it to a column with a different name or use
the [PrimaryKey] attribute to tell OrmLite to use a different property for the primary key.
You can still SELECT from these tables, you will just be unable to make use of APIs that rely on it, e.g.
Update or Delete where the filter is implied (i.e. not specified), all the APIs that end with ById, etc.
A potential workaround to support tables with multiple primary keys is to create an auto generated Id property that
returns a unique value based on all the primary key fields, e.g:
public class OrderDetail
{
public string Id { get { return this.OrderId + "/" + this.ProductId; } }
public int OrderId { get; set; }
public int ProductId { get; set; }
public decimal UnitPrice { get; set; }
public short Quantity { get; set; }
public double Discount { get; set; }
}In its simplest useage, OrmLite can persist any POCO type without any attributes required:
public class SimpleExample
{
public int Id { get; set; }
public string Name { get; set; }
}
//Set once before use (i.e. in a static constructor).
OrmLiteConfig.DialectProvider = SqliteDialect.Provider;
using (IDbConnection db = "/path/to/db.sqlite".OpenDbConnection())
{
db.CreateTable<SimpleExample>(true);
db.Insert(new SimpleExample { Id=1, Name="Hello, World!"});
var rows = db.Select<SimpleExample>();
Assert.That(rows, Has.Count(1));
Assert.That(rows[0].Id, Is.EqualTo(1));
}To get a better idea of the features of OrmLite lets walk through a complete example using sample tables from the Northwind database. _ (Full source code for this example is available here.) _
So with no other configuration using only the classes below:
[Alias("Shippers")]
public class Shipper
: IHasId<int>
{
[AutoIncrement]
[Alias("ShipperID")]
public int Id { get; set; }
[Required]
[Index(Unique = true)]
[StringLength(40)]
public string CompanyName { get; set; }
[StringLength(24)]
public string Phone { get; set; }
[References(typeof(ShipperType))]
public int ShipperTypeId { get; set; }
}
[Alias("ShipperTypes")]
public class ShipperType
: IHasId<int>
{
[AutoIncrement]
[Alias("ShipperTypeID")]
public int Id { get; set; }
[Required]
[Index(Unique = true)]
[StringLength(40)]
public string Name { get; set; }
}
public class SubsetOfShipper
{
public int ShipperId { get; set; }
public string CompanyName { get; set; }
}
public class ShipperTypeCount
{
public int ShipperTypeId { get; set; }
public int Total { get; set; }
}Creating tables is a simple 1-liner:
using (IDbConnection db = ":memory:".OpenDbConnection())
{
const bool overwrite = false;
db.CreateTables(overwrite, typeof(Shipper), typeof(ShipperType));
}
/* In debug mode the line above prints:
DEBUG: CREATE TABLE "Shippers"
(
"ShipperID" INTEGER PRIMARY KEY AUTOINCREMENT,
"CompanyName" VARCHAR(40) NOT NULL,
"Phone" VARCHAR(24) NULL,
"ShipperTypeId" INTEGER NOT NULL,
CONSTRAINT "FK_Shippers_ShipperTypes" FOREIGN KEY ("ShipperTypeId") REFERENCES "ShipperTypes" ("ShipperID")
);
DEBUG: CREATE UNIQUE INDEX uidx_shippers_companyname ON "Shippers" ("CompanyName" ASC);
DEBUG: CREATE TABLE "ShipperTypes"
(
"ShipperTypeID" INTEGER PRIMARY KEY AUTOINCREMENT,
"Name" VARCHAR(40) NOT NULL
);
DEBUG: CREATE UNIQUE INDEX uidx_shippertypes_name ON "ShipperTypes" ("Name" ASC);
*/As we have direct access to IDbCommand and friends - playing with transactions is easy:
int trainsTypeId, planesTypeId;
using (IDbTransaction dbTrans = db.OpenTransaction())
{
db.Insert(new ShipperType { Name = "Trains" });
trainsTypeId = (int) db.GetLastInsertId();
db.Insert(new ShipperType { Name = "Planes" });
planesTypeId = (int) db.GetLastInsertId();
dbTrans.Commit();
}
using (IDbTransaction dbTrans = db.OpenTransaction(IsolationLevel.ReadCommitted))
{
db.Insert(new ShipperType { Name = "Automobiles" });
Assert.That(db.Select<ShipperType>(), Has.Count(3));
dbTrans.Rollback();
}
Assert.That(db.Select<ShipperType>(), Has.Count(2));No ORM is complete without the standard crud operations:
//Performing standard Insert's and Selects
db.Insert(new Shipper { CompanyName = "Trains R Us", Phone = "555-TRAINS", ShipperTypeId = trainsTypeId });
db.Insert(new Shipper { CompanyName = "Planes R Us", Phone = "555-PLANES", ShipperTypeId = planesTypeId });
db.Insert(new Shipper { CompanyName = "We do everything!", Phone = "555-UNICORNS", ShipperTypeId = planesTypeId });
var trainsAreUs = db.First<Shipper>("ShipperTypeId = {0}", trainsTypeId);
Assert.That(trainsAreUs.CompanyName, Is.EqualTo("Trains R Us"));
Assert.That(db.Select<Shipper>("CompanyName = {0} OR Phone = {1}", "Trains R Us", "555-UNICORNS"), Has.Count(2));
Assert.That(db.Select<Shipper>("ShipperTypeId = {0}", planesTypeId), Has.Count(2));
//Lets update a record
trainsAreUs.Phone = "666-TRAINS";
db.Update(trainsAreUs);
Assert.That(db.GetById<Shipper>(trainsAreUs.Id).Phone, Is.EqualTo("666-TRAINS"));
//Then make it disappear
db.Delete(trainsAreUs);
Assert.That(db.GetByIdOrDefault<Shipper>(trainsAreUs.Id), Is.Null);
//And bring it back again
db.Insert(trainsAreUs);And with access to raw sql when you need it - the database is your oyster :)
//Select only a subset from the table
var partialColumns = db.Select<SubsetOfShipper>(typeof (Shipper), "ShipperTypeId = {0}", planesTypeId);
Assert.That(partialColumns, Has.Count(2));
//Select into another POCO class that matches the sql results
var rows = db.Select<ShipperTypeCount>(
"SELECT ShipperTypeId, COUNT(*) AS Total FROM Shippers GROUP BY ShipperTypeId ORDER BY COUNT(*)");
Assert.That(rows, Has.Count(2));
Assert.That(rows[0].ShipperTypeId, Is.EqualTo(trainsTypeId));
Assert.That(rows[0].Total, Is.EqualTo(1));
Assert.That(rows[1].ShipperTypeId, Is.EqualTo(planesTypeId));
Assert.That(rows[1].Total, Is.EqualTo(2));
//And finally lets quickly clean up the mess we've made:
db.DeleteAll<Shipper>();
db.DeleteAll<ShipperType>();
Assert.That(db.Select<Shipper>(), Has.Count(0));
Assert.That(db.Select<ShipperType>(), Has.Count(0));Many performance problems can be mitigated and a lot of use-cases can be simplified without the use of a heavyweight ORM, and their config, mappings and infrastructure. As performance is the most important feature we can recommend the following list, each with their own unique special blend of features.
- Dapper - by @samsaffron and @marcgravell
- The current performance king, supports both POCO and dynamic access, fits in a single class. Put in production to solve StackOverflow's DB Perf issues. Requires .NET 4.
- PetaPoco - by @toptensoftware
- Fast, supports dynamics, expandos and typed POCOs, fits in a single class, runs on .NET 3.5 and Mono. Includes optional T4 templates for POCO table generation.
- Massive - by @robconery
- Fast, supports dynamics and expandos, smart use of optional params to provide a wrist-friendly api, fits in a single class. Multiple RDBMS support. Requires .NET 4.
- Simple.Data - by @markrendle
- A little slower than above ORMS, most wrist-friendly courtesy of a dynamic API, multiple RDBMS support inc. Mongo DB. Requires .NET 4.