ADO.NET Entity Framework - How to select data from one Table only (and ignore other tables)? - entity-framework

Background is the team i'm in has just started using the EntityFramework; first we designed the database, put all the table relationships in place, foreign keys, etc; then thru visual studio add a new ADO.NET Entity Data Model, and auto-magically we get the generated edmx file representing the whole database !
Now i focus on two tables that provide data for all dropdowns and lookup lists;
TLookupDomain (domainID, domainName, domainDesc )
TLookup (lookupID, domainID, lookupCode, lookupDisplay, lookupDesc, sortOrder)
Relationship is 1-M going from left to right:
TLookupDomain -< TLookup -< TOther (+ another 30 or so other tables)
So lookupID is a foreign-Key to as many as 30 tables;
IQueryable<TLookup> qList = from l in ctx.TLookups
where l.domainID == 24
select l;
foreach (TLookup l in qList)
{
//do something.
System.Diagnostics.Debug.WriteLine("{0}\t{1}", l.lookupCode, l.lookupDisplay);
foreach (TOther f in l.TOthers)
{
System.Diagnostics.Debug.WriteLine("{0}\t{1}", f.feeAmount, f.feeDesc);
}
}
When i execute the above LINQ, i get all the fields for TLookup table (which is fair), BUT data is also fetched for the 30 or so tables that are linked to it, even though i am NOT interested in the other table's data at this point, and i am going to discard all data soon as LINQ fetches it.
Two Questions i have:
Q.1) Can i somehow modify the LINQ query above or tell the EntityFramework otherwise not to bother fetchin data from the 30 other linked tables ?
Q.2) is it "right" to have one edmx file that models the entire database? (sounds dodgy to me).

Configure Lazy Load to true for the model. Relations should be loaded only upon navegation. You can also split the models to avoid too many unnecessary relations.

Linq-to-Entities queries do not fetch anything automatically. Fetching of navigation properties is performet either by eager or lazy loading. You are not using eager loading because that requires calling Include in query (or ctx.LoadProperty separately). So if your data are fetched it must be due to lazy loading wich is enabled by default. Lazy loading triggers once you access the navigation property in the code.
You can also return only the data you need by using projections. Something like this should return readonly data:
var query = from l in ctx.TLookups
where l.domainId == 24
select new
{
l.lookupCode,
l.lookupDisplay,
l.TOthers
};
Having one or more EDMX is common dilemma. Working with single EDMX makes things more simple. If you want to know how to use multiple EDMXs and share conceptual definitions check these two articles: Part 1, Part 2.

Related

Entity Framework : map duplicate tables to single entity at runtime?

I have a legacy database with a particular table -- I will call it ItemTable -- that can have billions of rows of data. To overcome database restrictions, we have decided to split the table into "silos" whenever the number of rows reaches 100,000,000. So, ItemTable will exist, then a procedure will run in the middle of the night to check the number of rows. If numberOfRows is > 100,000,000 then silo1_ItemTable will be created. Any Items added to the database from now on will be added to silo1_ItemTable (until it grows to big, then silo2_ItemTable will exist...)
ItemTable and silo1_ItemTable can be mapped to the same Item entity because the table structures are identical, but I am not sure how to set this mapping up at runtime, or how to specify the table name for my queries. All inserts should be added to the latest siloX_ItemTable, and all Reads should be from a specified siloX_ItemTable.
I have a separate siloTracker table that will give me the table name to insert/read the data from, but I am not sure how I can use this with entity framework...
Thoughts?
You could try to use the Entity Inheritance to get this. So you have a base class which has all the fields mapped to ItemTable and then you have descendant classes that inherit from ItemTable entity and is mapped to the silo tables in the db. Every time you create a new silo you create a new entity mapped to that silo table.
[Table("ItemTable")]
public class Item
{
//All the fields in the table goes here
}
[Table("silo1_ItemTable")]
public class Silo1Item : Item
{
}
[Table("silo2_ItemTable")]
public class Silo2Item : Item
{
}
You can find more information on this here
Other option is to create a view that creates a union of all those table and map your entity to that view.
As mentioned in my comment, to solve this problem I am using the SQLQuery method that is exposed by DBSet. Since all my item tables have the exact same schema, I can use the SQLQuery to define my own query and I can pass in the name of the table to the query. Tested on my system and it is working well.
See this link for an explanation of running raw queries with entity framework:
EF raw query documentation
If anyone has a better way to solve my question, please leave a comment.
[UPDATE]
I agree that stored procedures are also a great option, but for some reason my management is very resistant to make any changes to our database. It is easier for me (and our customers) to put the sql in code and acknowledge the fact that there is raw sql. At least I can hide it from the other layers rather easily.
[/UPDATE]
Possible solution for this problem may be using context initialization with DbCompiledModel param:
var builder = new DbModelBuilder(DbModelBuilderVersion.V6_0);
builder.Configurations.Add(new EntityTypeConfiguration<EntityName>());
builder.Entity<EntityName>().ToTable("TableNameDefinedInRuntime");
var dynamicContext = new MyDbContext(builder.Build(context.Database.Connection).Compile());
For some reason in EF6 it fails on second table request, but mapping inside context looks correct on the moment of execution.

How to use DBContext.Add/Attach (using EF CodeFirst 4.1) with nested opbjects

Problem: When adding an object "Order" to my dbcontext, all nested objects of the order gets "readded" to the database, though the nested objects is static data and only a reference shoudl be added in the database.
Example:
The database holds 0 orders, and 3 items.
I add one order with 2 items.
Now the database hold 1 order, and 5 items. The two items in the order has been "readded" to the database, even though the items had the right primary keys before db.SaveChanges().
I realize that i may be able to attach the existing items to the dbcontext before saving changes, but is that really the only way to go? Can't EF figure out that to item already exists when the primary key matches an existing item?
Does anyone know if this is different in the new version of EF CodeFirst?
No EF cannot figure if entities are existing one or new one - both Add and Attach commands are graph oriented operations. You call them on one entity in the graph and they traverse all relations (and their relations and so on) and perform the operation for them as well.
You must figure correct state of each entity in the graph for example by using:
dbContext.Orders.Add(newOrder);
foreach(var item in newOrder.Items) {
dbContext.Entry(item).State = EntityState.Unchanged;
}
dbContext.SaveChanges();
You can use the reverse operation by calling Attach(newOrder) and set the order to Added state. The main difference will come with independent associations (for example many-to-many relations). The first approach will correctly add new relation between order and each item whereas second will not unless you manually set each relation to Added state (and changing state for relations is more complex).

Select Specific Columns from Database using EF Code First

We have a customer very large table with over 500 columns (i know someone does that!)
Many of these columns are in fact foreign keys to other tables.
We also have the requirement to eager load some of the related tables.
Is there any way in Linq to SQL or Dynamic Linq to specify what columns to be retrieved from the database?
I am looking for a linq statement that actually HAS this effect on the generated SQL Statement:
SELECT Id, Name FROM Book
When we run the reguar query generated by EF, SQL Server throws an error that you have reached the maximum number of columns that can be selected within a query!!!
Any help is much appreciated!
Yes exactly this is the case, the table has 500 columns and is self referencing our tool automatically eager loads the first level relations and this hits the SQL limit on number of columns that can be queried.
I was hoping that I can set to only load limited columns of the related Entities such as Id and Name (which is used in the UI to view the record to user)
I guess the other option is to control what FK columns should be eager loaded. However this still remains problem for tables that has a binary or ntext column which you may not want to load all the times.
Is there a way to hook multiple models (Entities) to the same table in Code First? We tried doing this I think the effort failed miserably.
Yes you can return only subset of columns by using projection:
var result = from x in context.LargeTable
select new { x.Id, x.Name };
The problem: projection and eager loading doesn't work together. Once you start using projections or custom joins you are changing shape of the query and you cannot use Include (EF will ignore it). The only way in such scenario is to manually include relations in the projected result set:
var result = from x in context.LargeTable
select new {
Id = x.Id,
Name = x.Name,
// You can filter or project relations as well
RelatedEnitites = x.SomeRelation.Where(...)
};
You can also project to specific type BUT that specific type must not be mapped (so you cannot for example project to LargeTable entity from my sample). Projection to the mapped entity can be done only on materialized data in Linq-to-objects.
Edit:
There is probably some misunderstanding how EF works. EF works on top of entities - entity is what you have mapped. If you map 500 columns to the entity, EF simply use that entity as you defined it. It means that querying loads entity and persisting saves entity.
Why it works this way? Entity is considered as atomic data structure and its data can be loaded and tracked only once - that is a key feature for ability to correctly persist changes back to the database. It doesn't mean that you should not load only subset of columns if you need it but you should understand that loading subset of columns doesn't define your original entity - it is considered as arbitrary view on data in your entity. This view is not tracked and cannot be persisted back to database without some additional effort (simply because EF doesn't hold any information about the origin of the projection).
EF also place some additional constraints on the ability to map the entity
Each table can be normally mapped only once. Why? Again because mapping table multiple times to different entities can break ability to correctly persist those entities - for example if any non-key column is mapped twice and you load instance of both entities mapped to the same record, which of mapped values will you use during saving changes?
There are two exceptions which allow you mapping table multiple times
Table per hierarchy inheritance - this is a mapping where table can contains records from multiple entity types defined in inheritance hierarchy. Columns mapped to the base entity in the hierarchy must be shared by all entities. Every derived entity type can have its own columns mapped to its specific properties (other entity types have these columns always empty). It is not possible to share column for derived properties among multiple entities. There must also be one additional column called discriminator telling EF which entity type is stored in the record - this columns cannot be mapped as property because it is already mapped as type discriminator.
Table splitting - this is direct solution for the single table mapping limitation. It allows you to split table into multiple entities with some constraints:
There must be one-to-one relation between entities. You have one central entity used to load the core data and all other entities are accessible through navigation properties from this entity. Eager loading, lazy loading and explicit loading works normally.
The relation is real 1-1 so both parts or relation must always exists.
Entities must not share any property except the key - this constraint will solve the initial problem because each modifiable property is mapped only once
Every entity from the split table must have a mapped key property
Insertion requires whole object graph to be populated because other entities can contain mapped required columns
Linq-to-Sql also contains ability to mark a column as lazy loaded but this feature is currently not available in EF - you can vote for that feature.
It leads to your options for optimization
Use projections to get read-only "view" for entity
You can do that in Linq query as I showed in the previous part of this answer
You can create database view and map it as a new "entity"
In EDMX you can also use Defining query or Query view to encapsulate either SQL or ESQL projection in your mapping
Use table splitting
EDMX allows you splitting table to many entities without any problem
Code first allows you splitting table as well but there are some problems when you split table to more than two entities (I think it requires each entity type to have navigation property to all other entity types from split table - that makes it really hard to use).
Create stored procedures that query the number of columns needed and then call the stored procs from code.

Entity Framework: Exclude columns from the selection in Entity Framework?

I want to have an ObjectQuery that returns tracked entities (not static data), but I don't want it to load all the columns, I want some columns to load as null, I don't want to use select, since this will return an IEnumerable of the values, not tracked objects.
Is there a way to do it?
If yes, how do I then complete reloading those columns on demand?
Have you tried creating a view and then mapping the view?
By creating a view you can select the columns that you really want and only those will show up on the Entity Model.
I think the only way is to create new entity type which will not contain columns you don't need. You will map this entity type to the same table. On demand (lazy) loading works only for navigation properties.
Edit:
My previous idea doesn't work but in some special cases you can use idea from this article. Instead of modeling single entity from single table you will model multiple entities related with 1:1 relations. Entities will not overlap in properties (except the primary key) as my previous idea assumed because it doesn't work. You will than have main entity with fields you want to load immediately and related entities which will be lazy loaded when needed.

Wide and narrow versions of an entity mapped to one table in Entity Framework

In some scenarios I need a "wide" version of an entity with many properties (say FullCustomer) while in other scenarios it's enough with a "narrow" version with few properties (say MiniCustomer), how could I map these two entities, FullCustomer and MiniCustomer, to the same Customer table in the database? Furthermore, I need to be able to query and update both entities.
Thanks in advance for any advice or pointers!
PD. I'm using VS2010 RC and EF 4
For "efficiency", don't have two versions of the entity; just project onto "lite" POCOs:
var q = from e in Context.Entities
select new LitePoco
{
Id = e.Id,
EditThis = e.EditThis
};
No other columns will be returned.
Similarly for save:
var e = new MyEntity { Id = 123 };
Context.AttachTo("Entities", e);
// anything from here on gets saved
e.EditThis = "Edited";
Context.SaveChanges();
If you have a column that determines whether to treat the record as a FullCustomer or as MiniCustomer, then you can easily create a Table per Hierarchy inheritance model with FullCustomer inherited from MiniCustomer. Such approach is described in the Muhammad Mosa's blog post.
If you don't have this column you can update the model and database in order to add it.
However, there is an alternative approach. If the reason to have two entities for one table is the delay in the loading the numerous large properties in the FullCustomer object, than Table Splitting might be an option. Take a look at the Julie Lerman's blog post.
I would have noted that this problem is not present in ORMs like LINQ to SQL, due to deferred loading.