First, I apologize if this is not an appropriate venue to ask this question, but I wasn't really sure where else to get input from.
I have created an early version of a .NET object persistence library. Its features are:
When I first had this idea I was convinced it was totally awesome. I quickly created an initial prototype. Now, I'm at the 'hard part' where I am debating issues like connection pooling, thread safety, and debating whether to try to support IQueryable for LINQ, etc. And I'm taking a harder look at whether it is worthwhile to develop this library beyond my own requirements for it.
Here is a basic example of usage:
var to1 = new TestObject { id = "fignewton", number = 100, FruitType = FruitType.Apple };
ObjectStore db = new SQLiteObjectStore("d:/objstore.sqlite");
db.Write(to1);
var readback = db.Read<TestObject>("fignewton");
var readmultiple = db.ReadObjects<TestObject>(collectionOfKeys);
The querying interface that works right now looks like:
var appleQuery = new Query<TestObject>().Eq("FruitType", FruitType.Apple).Gt("number",50);
var results = db.Find<TestObject>(appleQuery);
I am also working on an alternative query interface that lets you just pass in something very like a SQL WHERE clause. And obviously, in the NET world it would be great to support IQueryable / expression trees.
Because the library supports many storage mediums with disparate capabilities, it uses attributes to help the system make the best use of each driver.
[TableName("AttributeTest")]
[CompositeIndex("AutoProperty","CreatedOn")]
public class ComplexTypesObject
{
[Id]
public string id;
[QueryableIndexed]
public FruitType FruitType;
public SimpleTypesObject EmbeddedObject;
public string[] Array;
public int AutoProperty { get; set; }
public DateTime CreatedOn = DateTime.Now;
}
All of the attributes are optional, and are basically all about performance. In a simple case you don't need any of them.
In a SQL environment, the system will by default take care of creating tables and indexes for you, though there is a DbaSafe option that will prevent the system from executing DDLs.
It is also fun to be able to migrate your data from, say, a SQL engine to MongoDB in one line of code. Or to a zip file. And back again.
The root question is "Is this useful?" Is it worth taking the time to really polish, make thread-safe or connection pooled, write a better query interface, and upload somewhere?
Obviously this isn't a replacement for ORMs (and it can co-exist with ORMs, and coexist with your traditional SQL server). I guess its main use cases are for simple persistence where an ORM is overkill, or for NoSQL type scenarios and where a document-store type interface is preferable.
My advice: Write it for your own requirements and then open-source it. You'll soon find out if there's a market for it. And, as a bonus, you'll find that other people will tell you which bits need polishing; there's a very high chance they'll polish it for you.