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Document TPC #4080
Document TPC #4080
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# SQLite databases | ||
*.sqlite | ||
*.db | ||
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# User-specific files (MonoDevelop/Xamarin Studio) | ||
*.userprefs | ||
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title: Inheritance - EF Core | ||
description: How to configure entity type inheritance using Entity Framework Core | ||
author: AndriySvyryd | ||
ms.date: 10/01/2020 | ||
ms.date: 10/10/2022 | ||
uid: core/modeling/inheritance | ||
--- | ||
# Inheritance | ||
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## Table-per-type configuration | ||
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> [!NOTE] | ||
> The table-per-type (TPT) feature was introduced in EF Core 5.0. Table-per-concrete-type (TPC) is supported by EF6, but is not yet supported by EF Core. | ||
> The table-per-type (TPT) feature was introduced in EF Core 5.0. | ||
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In the TPT mapping pattern, all the types are mapped to individual tables. Properties that belong solely to a base type or derived type are stored in a table that maps to that type. Tables that map to derived types also store a foreign key that joins the derived table with the base table. | ||
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[!code-csharp[Main](../../../samples/core/Modeling/Inheritance/FluentAPI/TPTConfiguration.cs?name=TPTConfiguration)] | ||
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> [!TIP] | ||
> Instead of calling `ToTable` on each entity type you can call `modelBuilder.Entity<Blog>().UseTptMappingStrategy()` on each root entity type and the table names will be generated by EF. | ||
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EF will create the following database schema for the model above. | ||
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```sql | ||
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> [!WARNING] | ||
> In many cases, TPT shows inferior performance when compared to TPH. [See the performance docs for more information](xref:core/performance/modeling-for-performance#inheritance-mapping). | ||
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> [!CAUTION] | ||
> Columns for a derived type are mapped to different tables, therefore composite FK constraints and indexes that use both the inherited and declared properties cannot be created in the database. | ||
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## Table-per-concrete-type configuration | ||
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> [!NOTE] | ||
> The table-per-concrete-type (TPC) feature was introduced in EF Core 7.0. | ||
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In the TPC mapping pattern, all the types are mapped to individual tables. Each table contains columns for all properties on the corresponding entity type. This addresses some common performance issues with the TPT strategy. | ||
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> [!TIP] | ||
> The EF Team demonstrated and talked in depth about TPC mapping in an episode of the [.NET Data Community Standup](https://aka.ms/efstandups). As with all Community Standup episodes, you can [watch the TPC episode now on YouTube](https://youtu.be/HaL6DKW1mrg). | ||
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[!code-csharp[Main](../../../samples/core/Modeling/Inheritance/FluentAPI/TPCConfiguration.cs?name=TPCConfiguration)] | ||
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> [!TIP] | ||
> Instead of calling `ToTable` on each entity type just calling `modelBuilder.Entity<Blog>().UseTpcMappingStrategy()` on each root entity type will generate the table names by convention. | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Same comment as above for TPT - I think we expect most users to use the new UseTp*MappingStrategy, rather than ToTable, no? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more.
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Well it's redundant code for many uses cases - we don't have ToTable in regular, non-inheritance code samples. But anyway... |
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EF will create the following database schema for the model above. | ||
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```sql | ||
CREATE TABLE [Blogs] ( | ||
[BlogId] int NOT NULL DEFAULT (NEXT VALUE FOR [BlogSequence]), | ||
[Url] nvarchar(max) NULL, | ||
CONSTRAINT [PK_Blogs] PRIMARY KEY ([BlogId]) | ||
); | ||
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CREATE TABLE [RssBlogs] ( | ||
[BlogId] int NOT NULL DEFAULT (NEXT VALUE FOR [BlogSequence]), | ||
[Url] nvarchar(max) NULL, | ||
[RssUrl] nvarchar(max) NULL, | ||
CONSTRAINT [PK_RssBlogs] PRIMARY KEY ([BlogId]) | ||
); | ||
``` | ||
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### TPC database schema | ||
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The TPC strategy is similar to the TPT strategy except that a different table is created for every *concrete* type in the hierarchy, but tables are **not** created for *abstract* types - hence the name “table-per-concrete-type”. As with TPT, the table itself indicates the type of the object saved. However, unlike TPT mapping, each table contains columns for every property in the concrete type and its base types. TPC database schemas are denormalized. | ||
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For example, consider mapping this hierarchy: | ||
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<!-- | ||
public abstract class Animal | ||
{ | ||
protected Animal(string name) | ||
{ | ||
Name = name; | ||
} | ||
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public int Id { get; set; } | ||
public string Name { get; set; } | ||
public abstract string Species { get; } | ||
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public Food? Food { get; set; } | ||
} | ||
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public abstract class Pet : Animal | ||
{ | ||
protected Pet(string name) | ||
: base(name) | ||
{ | ||
} | ||
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public string? Vet { get; set; } | ||
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public ICollection<Human> Humans { get; } = new List<Human>(); | ||
} | ||
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public class FarmAnimal : Animal | ||
{ | ||
public FarmAnimal(string name, string species) | ||
: base(name) | ||
{ | ||
Species = species; | ||
} | ||
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public override string Species { get; } | ||
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[Precision(18, 2)] | ||
public decimal Value { get; set; } | ||
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public override string ToString() | ||
=> $"Farm animal '{Name}' ({Species}/{Id}) worth {Value:C} eats {Food?.ToString() ?? "<Unknown>"}"; | ||
} | ||
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public class Cat : Pet | ||
{ | ||
public Cat(string name, string educationLevel) | ||
: base(name) | ||
{ | ||
EducationLevel = educationLevel; | ||
} | ||
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public string EducationLevel { get; set; } | ||
public override string Species => "Felis catus"; | ||
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public override string ToString() | ||
=> $"Cat '{Name}' ({Species}/{Id}) with education '{EducationLevel}' eats {Food?.ToString() ?? "<Unknown>"}"; | ||
} | ||
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public class Dog : Pet | ||
{ | ||
public Dog(string name, string favoriteToy) | ||
: base(name) | ||
{ | ||
FavoriteToy = favoriteToy; | ||
} | ||
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public string FavoriteToy { get; set; } | ||
public override string Species => "Canis familiaris"; | ||
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public override string ToString() | ||
=> $"Dog '{Name}' ({Species}/{Id}) with favorite toy '{FavoriteToy}' eats {Food?.ToString() ?? "<Unknown>"}"; | ||
} | ||
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public class Human : Animal | ||
{ | ||
public Human(string name) | ||
: base(name) | ||
{ | ||
} | ||
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public override string Species => "Homo sapiens"; | ||
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public Animal? FavoriteAnimal { get; set; } | ||
public ICollection<Pet> Pets { get; } = new List<Pet>(); | ||
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public override string ToString() | ||
=> $"Human '{Name}' ({Species}/{Id}) with favorite animal '{FavoriteAnimal?.Name ?? "<Unknown>"}'" + | ||
$" eats {Food?.ToString() ?? "<Unknown>"}"; | ||
} | ||
--> | ||
[!code-csharp[AnimalsHierarchy](../../../samples/core/Miscellaneous/NewInEFCore7/TpcInheritanceSample.cs?name=AnimalsHierarchy)] | ||
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When using SQL Server, the tables created for this hierarchy are: | ||
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```sql | ||
CREATE TABLE [Cats] ( | ||
[Id] int NOT NULL DEFAULT (NEXT VALUE FOR [AnimalSequence]), | ||
[Name] nvarchar(max) NOT NULL, | ||
[FoodId] uniqueidentifier NULL, | ||
[Vet] nvarchar(max) NULL, | ||
[EducationLevel] nvarchar(max) NOT NULL, | ||
CONSTRAINT [PK_Cats] PRIMARY KEY ([Id])); | ||
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CREATE TABLE [Dogs] ( | ||
[Id] int NOT NULL DEFAULT (NEXT VALUE FOR [AnimalSequence]), | ||
[Name] nvarchar(max) NOT NULL, | ||
[FoodId] uniqueidentifier NULL, | ||
[Vet] nvarchar(max) NULL, | ||
[FavoriteToy] nvarchar(max) NOT NULL, | ||
CONSTRAINT [PK_Dogs] PRIMARY KEY ([Id])); | ||
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CREATE TABLE [FarmAnimals] ( | ||
[Id] int NOT NULL DEFAULT (NEXT VALUE FOR [AnimalSequence]), | ||
[Name] nvarchar(max) NOT NULL, | ||
[FoodId] uniqueidentifier NULL, | ||
[Value] decimal(18,2) NOT NULL, | ||
[Species] nvarchar(max) NOT NULL, | ||
CONSTRAINT [PK_FarmAnimals] PRIMARY KEY ([Id])); | ||
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CREATE TABLE [Humans] ( | ||
[Id] int NOT NULL DEFAULT (NEXT VALUE FOR [AnimalSequence]), | ||
[Name] nvarchar(max) NOT NULL, | ||
[FoodId] uniqueidentifier NULL, | ||
[FavoriteAnimalId] int NULL, | ||
CONSTRAINT [PK_Humans] PRIMARY KEY ([Id])); | ||
``` | ||
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Notice that: | ||
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- There are no tables for the `Animal` or `Pet` types, since these are `abstract` in the object model. Remember that C# does not allow instances of abstract types, and there is therefore no situation where an abstract type instance will be saved to the database. | ||
- The mapping of properties in base types is repeated for each concrete type. For example, every table has a `Name` column, and both Cats and Dogs have a `Vet` column. | ||
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- Saving some data into this database results in the following: | ||
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**Cats table** | ||
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| Id | Name | FoodId | Vet | EducationLevel | | ||
|:----|:-------|:-------------------------------------|:---------------------|:---------------| | ||
| 1 | Alice | 99ca3e98-b26d-4a0c-d4ae-08da7aca624f | Pengelly | MBA | | ||
| 2 | Mac | 99ca3e98-b26d-4a0c-d4ae-08da7aca624f | Pengelly | Preschool | | ||
| 8 | Baxter | 5dc5019e-6f72-454b-d4b0-08da7aca624f | Bothell Pet Hospital | BSc | | ||
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**Dogs table** | ||
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| Id | Name | FoodId | Vet | FavoriteToy | | ||
|:----|:------|:-------------------------------------|:---------|:-------------| | ||
| 3 | Toast | 011aaf6f-d588-4fad-d4ac-08da7aca624f | Pengelly | Mr. Squirrel | | ||
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**FarmAnimals table** | ||
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| Id | Name | FoodId | Value | Species | | ||
|:----|:------|:-------------------------------------|:-------|:-----------------------| | ||
| 4 | Clyde | 1d495075-f527-4498-d4af-08da7aca624f | 100.00 | Equus africanus asinus | | ||
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**Humans table** | ||
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| Id | Name | FoodId | FavoriteAnimalId | | ||
|:----|:-------|:-------------------------------------|:----------------------| | ||
| 5 | Wendy | 5418fd81-7660-432f-d4b1-08da7aca624f | 2 | | ||
| 6 | Arthur | 59b495d4-0414-46bf-d4ad-08da7aca624f | 1 | | ||
| 9 | Katie | null | 8 | | ||
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Notice that unlike with TPT mapping, all the information for a single object is contained in a single table. And, unlike with TPH mapping, there is no combination of column and row in any table where that is never used by the model. We'll see below how these characteristics can be important for queries and storage. | ||
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### Key generation | ||
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The inheritance mapping strategy chosen has consequences for how primary key values are generated and managed. Keys in TPH are easy, since each entity instance is represented by a single row in a single table. Any kind of key value generation can be used, and no additional constraints are needed. | ||
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For the TPT strategy, there is always a row in the table mapped to the base type of the hierarchy. Any kind of key generation can be used on this row, and the keys for other tables are linked to this table using foreign key constraints. | ||
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Things get a bit more complicated for TPC. First, it’s important to understand that EF Core requires that all entities in a hierarchy have a unique key value, even if the entities have different types. For example, using our example model, a Dog cannot have the same Id key value as a Cat. Second, unlike TPT, there is no common table that can act as the single place where key values live and can be generated. This means a simple `Identity` column cannot be used. | ||
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For databases that support sequences, key values can be generated by using a single sequence referenced in the default constraint for each table. This is the strategy used in the TPC tables shown above, where each table has the following: | ||
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```sql | ||
[Id] int NOT NULL DEFAULT (NEXT VALUE FOR [AnimalSequence]) | ||
``` | ||
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`AnimalSequence` is a database sequence created by EF Core. This strategy is used by default for TPC hierarchies when using the EF Core database provider for SQL Server. Database providers for other databases that support sequences should have a similar default. Other key generation strategies that use sequences, such as Hi-Lo patterns, may also be used with TPC. | ||
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While standard Identity columns don't work with TPC, it is possible to use Identity columns if each table is configured with an appropriate seed and increment such that the values generated for each table will never conflict. For example: | ||
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<!-- | ||
modelBuilder.Entity<Cat>().ToTable("Cats", tb => tb.Property(e => e.Id).UseIdentityColumn(1, 4)); | ||
modelBuilder.Entity<Dog>().ToTable("Dogs", tb => tb.Property(e => e.Id).UseIdentityColumn(2, 4)); | ||
modelBuilder.Entity<FarmAnimal>().ToTable("FarmAnimals", tb => tb.Property(e => e.Id).UseIdentityColumn(3, 4)); | ||
modelBuilder.Entity<Human>().ToTable("Humans", tb => tb.Property(e => e.Id).UseIdentityColumn(4, 4)); | ||
--> | ||
[!code-csharp[UsingIdentity](../../../samples/core/Miscellaneous/NewInEFCore7/TpcInheritanceSample.cs?name=UsingIdentity)] | ||
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> [!IMPORTANT] | ||
> Using this strategy makes it harder to add derived types later as it requires the total number of types in the hierarchy to be known beforehand. | ||
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SQLite does not support sequences or Identity seed/increment, and hence integer key value generation is not supported when using SQLite with the TPC strategy. However, client-side generation or globally unique keys - such as GUIDs - are supported on any database, including SQLite. | ||
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### Foreign key constraints | ||
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The TPC mapping strategy creates a denormalized SQL schema - this is one reason why some database purists are against it. For example, consider the foreign key column `FavoriteAnimalId`. The value in this column must match the primary key value of some animal. This can be enforced in the database with a simple FK constraint when using TPH or TPT. For example: | ||
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```sql | ||
CONSTRAINT [FK_Animals_Animals_FavoriteAnimalId] FOREIGN KEY ([FavoriteAnimalId]) REFERENCES [Animals] ([Id]) | ||
``` | ||
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But when using TPC, the primary key for any given animal is stored in the table corresponding to the concrete type of that animal. For example, a cat's primary key is stored in the `Cats.Id` column, while a dog's primary key is stored in the `Dogs.Id` column, and so on. This means an FK constraint cannot be created for this relationship. | ||
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In practice, this is not a problem as long as the application does not attempt to insert invalid data. For example, if all the data is inserted by EF Core and uses navigations to relate entities, then it is guaranteed that the FK column will contain valid PK values at all times. | ||
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## Summary and guidance | ||
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In summary, TPH is usually fine for most applications, and is a good default for a wide range of scenarios, so don't add the complexity of TPC if you don't need it. Specifically, if your code will mostly query for entities of many types, such as writing queries against the base type, then lean towards TPH over TPC. | ||
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That being said, TPC is also a good mapping strategy to use when your code will mostly query for entities of a single leaf type and your benchmarks show an improvement compared with TPH. | ||
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Use TPT only if constrained to do so by external factors. |
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Should we modify the sample to use UseTptMappingStrategy by default, and show ToTable only for when you want to customize the table names?
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Since we say that TPT should only be used with existing databases I think that the
ToTable
way will be more common.There was a problem hiding this comment.
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We say it should, but that doesn't necessarily means that's how users use it :) I'd still say that UseTptMappingStrategy should be the default as long it works (i.e. your tables do align with the default naming), and that ToTable should only be used when that's not the case.
But am OK if you prefer to keep as-is.