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Tuesday, June 21, 2011

Event Sourcing and CQRS, Dispatch options 2

In the part one comments, Clement suggested a more efficient solution than registering handler in constructor.

 

The proposed solution is to have a RegisterAllEvents virtual method in which event handler registration would occur. This method is a method instance to have access to this but will be called only once per class. The registration use Expression<Action<T>> to access the expression tree and extract the method info of the handler. This enables type checking, make R# happy – no unused methods – and make reflection not too painful.

 

Good solution.

 

I didn't go that far because with Event Sourcing, you usually keep aggregates in memory, so aggregates are instantiated once per service lifetime.
I just crafted a small performance test :

 

 


using System;
using System.Collections.Generic;
using System.Diagnostics;

namespace AggregatePerfTest
{
class Program
{
static void Main(string[] args)
{
var watch = new Stopwatch();

const int count = 10000000;
Guid id = Guid.NewGuid();

watch.Start();
for (int i = 0; i < count; i++)
new AggregateRegisteredOncePerInstance(id);

watch.Stop();

Console.WriteLine(watch.Elapsed.TotalMilliseconds);

watch.Reset();
watch.Start();

for (int i = 0; i < count; i++)
new AggregateRegisteredOncePerClass(id);

watch.Stop();

Console.WriteLine(watch.Elapsed.TotalMilliseconds);

}
}

public class AggregateRegisteredOncePerClass
{
private readonly Guid id;

private static readonly object ClassInitLock = new object();
private static bool initialized;


public AggregateRegisteredOncePerClass(Guid id)
{
this.id = id;

lock (ClassInitLock)
{
if (!initialized)
{
initialized = true;
// registration happens only once here
}
}
}

public Guid Id
{
get { return id; }
}
}

public class AggregateRegisteredOncePerInstance
{
private readonly Guid id;
private readonly Dictionary<Type, dynamic> handlers =
new Dictionary<Type, dynamic>(5);
public AggregateRegisteredOncePerInstance(Guid id)
{
this.id = id;
Register<int>(OnSomethingHappened);
Register<double>(OnSomethingHappened);
Register<float>(OnSomethingHappened);
Register<long>(OnSomethingHappened);
}

public Guid Id
{
get { return id; }
}

public void DoSomething()
{
Apply(1);
}

private void OnSomethingHappened(int message) { }
private void OnSomethingHappened(double message){ }
private void OnSomethingHappened(float message) { }
private void OnSomethingHappened(long message) { }

protected void Apply<T>(T @event)
{
handlers[typeof (T)](@event);
}

protected void Register<T>(Action<T> handler)
{
handlers.Add(typeof(T), handler);
}
}
}

The code is straight forward, I just created two aggregate classes :

  • one with registration in .ctor based on this post code
  • one without any registration at all, considering that doing it once is the same as not doing it for large numbers, but I added a lock section with a boolean check to simulate what will done on each instance creation.

I created 10.000.000 instances for each, and you get:

  • 3978ms for the one with .ctor registrations,
  • 377 ms for the one without.

It's true that it makes a difference. But how many aggregates do you have in your system ?

 

With 10.000 aggregate you're still under 8ms. I think you can afford that.

 

This is then a trade-off between performance and simplicity :

  • If you have very large numbers, go for expression tree parsing, class lock management etc.
  • In any other situation I recommend using registration in .ctor that makes the code easy to implement in approximately 5min.

Thursday, June 9, 2011

Time

556656621_ba9e8c870f[1]

How do we usually manage time in applications ?

Timers, threads, concurrency locks…

If we want to practice Domain Driven Design, we’re surely at the wrong level of abstraction.

 

What is time, btw ?

Tricky question. We know what time is, but… giving a definition is not that easy.

What defines time ? The second ?

Not really. It is used as a measure of time, but it doesn’t seem sufficient.

 

Let’s have a look at Wikipedia’s definition of time  :

Time is a part of the measuring system used to sequence events, to compare the durations of events and the intervals between them, and to quantify rates of change such as the motions of objects. […]

Now we have something interesting : Time is what happens between events.

But what is this thing between events.

The definition of the measure unit surely can give us further insight.

Lest have a look at Wikipedia’s definition of the second :

[…] Since 1967, the second has been defined to be

the duration of 9,192,631,770 periods of the radiation corresponding to the transition between the two hyperfine levels of the ground state of the caesium-133 atom.

The second is defined as a count of transitions between states of an atom of cesium.

We measure time by considering that the ~time~ between those state transitions is constant.

What if it’s not ?

It’s not that important if other events seem synchronized with those events. Will come back to this later.

 

Events

Let’s step back a bit.

 

How do you feel time passing ?

By looking at your watch ?

 

Maybe, but how could you explain that an hour sometimes seems so long, and sometimes passes in a flash ?

 

Time seems slow and empty when you’re bored.

Times seems fast and full when you’re busy with interesting things.

When you’re bored, it’s because few interesting things happen.

 

You can deduce from this that your personal state transitions are those interesting things that happen.

These are meaningful events. Things that happens and change you deeply.

 

Of course a lot of things happen between those meaningful events, you’re moving, thinking. Your blood flows through your body, but it is just maintenance move. You don’t change deeply.

Maybe some things happen between state transition of a cesium atom, but since we cannot notice it and give it a meaning for now, it has no influence.

 

But when when a meaningful event happens, you change. You’re not the same before and after.

This is what time is about, and this is why it’s one way.

Before –> Event –> After

Events define time by causality

This perception of meaningful events is surely a reason why people say the time pass faster when old. In your 6 first years any event around you is meaningful. Any event make you change since you have no previous knowledge. Then has time goes by, you integrate knowledge and filter things you already know, you’ve already seen. When old, a year can more easily seem the same than the year before.

But some people continue to enjoy and learn as much as they can to still have a long now.

 

When do your system change ?

Your system never change for no reason.

It’s always because a meaningful event happened.

This event can be a user interaction, a call from an external system, a sensor trigger…

And when things change because it’s midnight ?

It simply means that midnight is a meaningful event in your system.

 

Where are those meaningful events in your code ? Hidden in infrastructure code ?

 

I hear Greg Young say :

Make the implicit explicit !

And it’s simple :

Use Domain Events.

 

Once you’ve introduced Domain Events in your domain model, you have made Events and so Time explicit in your domain.

There is no change in the domain that is not due to an Event.

The events appear everywhere in the Ubiquitous Language :

  • When the client HasMoved to a new location, send him a welcome kit.
  • When a RoomHasBeenOverbooked try to relocate the customer
  • Every day at midnight = MidnightOccured, change last minute prices.

I’m sure you can find examples in your own domain. If your domain is business related, it has to deal with time because business is about time and money.

 

Time is now part of your Ubiquitous language and you have an implementation for it.

And that’s huge.

Tuesday, October 19, 2010

Duck : Delete Update Create Killer

Duck sign, Stockbridge High StreetI recently had a remark from Frederic Fadel from Aspectize, telling me about Event Sourcing something like:

Why would you like to write SQL to write data to your read model when our product can do it for you ?

I acknowledge that their product is fancy. You simply declare your db data schema, your UI and services and bind it all together.

But it doesn’t fit well with CQRS and Event Sourcing. And I want to do Event Sourcing for domain and business reasons, not technical reasons.

But he was write on this point :

I don’t want to write SQL to denormalize my events to my queryable storage.

What are my options ?

  • Writing SQL by hand, but testability is low, and you’ll get a mix of C# to get data from the events, and SQL for the Update queries.
  • Using an ORM. When doing NHibernate you don’t really write SQL. Testability wont be great anyway.

The problem with ORMs

ORM are usually better at getting data than at changing it. You can do it, but let’s look at what happens.

The ORM loads data from your Db into entities that will be tracked by an identity tracker. Then you change the values in memory . Then the ORM will find what needs to be sent back to the server and make a query to the Db so that the change happens.

But what I need to do is a lot simpler. Just emit some INSERT, UPDATE or DELETE based on current table values and event data.

With an ORM, what happens if the data is changed between loading and saving ? I’ll have to manage some versioning and/or transaction. And I’ll make two roundtrips to the server needlessly.

Here comes Duck

Duck is a kind of ORM oriented toward Delete Update Create.

Don’t ask Duck to load data in memory, it simply can’t.

You simply express how data should change based on current row content and values that you’ll pass.

It avoids the first roundtrip to the database, and make shorter code to express the change.

Let’s see how to use it

First, you should declare a class that has the structure of your table with public get/set properties, and marked with a Table attribute :

     [Table]
class Species
{
public Guid Id { get; set; }
public string Name { get; set; }
public string BinomialName { get; set; }
public bool IsEndangered { get; set; }
public int Population { get; set; }
}

It contains current observed species at an observatory.

Then a simple new statement, let’s say that a new species has be registered at the observatory :

     var duck = new DuckContext'(connectionString);
var speciesId = Guid.NewGuid();
duck.In<Species>()
.Insert(() =>
new Species
{
Id = speciesId,
Name = "Mallard",
BinomialName = "Anas platyrhynchos",
IsEndangered = false,
Population = 50
});

Nothing tricky here..

The observatory noticed a population decay, the species is endangered :

     duck.In<Species>()
.Where(r => r.Id == speciesId)
.Update(r => new Species {
Population = r.Population - 40,
IsEndangered = true});

Here, the use of the current value of Population will not load current value. It will the following statement :

UPDATE Species
SET
    Population = Population - 40,
    IsEndangered = 1
WHERE
    Id = @p0

I chose  to create a new Row from the old one rather than change the original one for two reasons :

  • It makes rows immutable and you don’t have to think about execution order between fields assignments. It’s the way SQL works
  • Linq Expressions cannot represent statement blocks and assignments in C#3, Duck would have been .Net only…

The –40 is directly in the query here because we used a constant. I we where using a variable, query would contain a parameter

Now the species has disappeared, it should be removed from the observed species (though it could be just an update somewhere else) :

     duck.In<Species>()
.Where(r => r.Id == speciesId)
.Delete();

Testability

To run your test you just have to use the InMemoryDuckContext… you have then access to Table<T>() that’ll enable you to set up your data and verify after execution that things changed as expected. I’ll talk a bit more about it soon.

Try it now, it’s OSS

You can grab the code at bitbucket and try it now :

http://bitbucket.org/thinkbeforecoding/duck

It’s in F# ! Writing a AST analyzer in F# is far more easy, concise and expressive than in C#. You’ll just have to reference Duck in you project, there’s no direct F# dependency.

Next episode will be about how to mix it with Rx (Reactive Framework) to declare your event handling logic.

Hope you like it, and don’t hesitate to give feedback and suggestions.

Monday, June 14, 2010

DDD Exchange 2010

I could not attend to this year’s edition that seemed really great with Eric Evans, Greg Young, Udi Dahan, Ian Cooper and Gojko Adzic.

The videos from the events should be soon somewhere around here.

And you can already find transcripts of the talks on Gojko ‘I post faster than people talk’s blog :

Eric Evans: Domain driven design redefined

Udi Dahan: the biggest mistakes teams make when applying DDD

Greg Young :Evolution of DDD: CQRS and Event Sourcing

 

If you also missed it, don’t make the same mistake next year, and register now for £50.00 (instead of £250.00) until the end of the week.

Sunday, April 25, 2010

Event Sourcing and CQRS, Events Deserialization

So we have our events serialized in our event store. Deserializing events is not an issue, until we start to make them evolve and need to manage several versions.

Since we never modify what has been log, we’ll have to deal with old versions anyway.

A simple way to do it is to maintain every versions of the events in the projects, and make the aggregate root accept all of them. But it will soon charge the aggregate root with a lot of code and will make it bloated rapidly.

This is why you can usually introduce a converter that will convert any version of the event to the last one (usually you provide methods to update to next version, and iterate until last version so that this part of the code is incremental). This is a convenient way to address the problem, but you still have classes v1, v2 … vn that you keep in your project only for versioning purpose even if you don’t use it anymore in your production code.

Events as documents

519485340_1a83117720_o[1]It is easy do deserialize an event as an object or a document, you only need to split two responsibilities in you deserialization process :

  • Stream reading
  • Object building

The deserializer will be in charge of reading the data, it reads the bits, and get the meaning from context, it will tell the Object Builder about objects types, fields names and value.

On its side, the ob ject builder will instantiate the objects, set fields values depending on names.

You can provides two distinct Object Builders. The strongly typed one will instantiate concrete .net types and set fields using reflection. The document builder one, will instantiate objects that will only be property bags.

When deserializing an event in its last version, you can use directly the strongly typed one, but when reading an previous version of the event, you can deserialize it as a document and give it to the converter.

The converter will then add/remove properties from the document to make it up to date, and the document will be used to create a concrete .net type of the last event version.

Here the process is quite the same, you should provide a document reader that will use the strongly typed object builder to instantiate the event.

There’s no need to keep every version of you Event Classes now since you can manipulate old versions as documents.

Using dynamic in C#4

Document manipulation can make things a bit messy since it can be hard to understand the original structure of the object. This is where you can use the DLR DynamicObject class to make the property bag (the document) a dynamic object that you’ll be able to use as any standard .net object.

This way, in the converter you can manipulate old versions of the events as .net objects without having to keep all those old classes that won’t be used anymore.

Saturday, April 17, 2010

Event Sourcing and CQRS, Bounded Contexts

Once again, I prefer a new post that a long comment reply. This one is about a important concept of Domain Driven Design, Bounded Contexts.

Hendry Luk asked :

Just 1 question, you represent borrower in events as a simple full-name string.
Is there any reason or just for sake of simplicity for example?
Supposed I'm using borrowerId, how would that work in other BC, say
LateBookNotifier (let's assume its a separate BC). How does this BC shows the
name of the borrower? Does it communicate directly with command BC using ACL?
Or does it also subscribe to BorrowerRegistered event as well (hence every BC
would have duplicate data of each of the borrowers, just like they do each of
the books)?

The short answer is ‘Yes, it was just for sake of simplicity’. In a real world scenario, borrowers would probably be entities, and thus would have an identity. I would even probably be an Aggregate Root.

The Borrower Aggregate Root would encapsulate state needed to perform commands on this Aggregate.

Bounded Contexts CommunicationsBooks

I can see the following contexts here :

  • Inventory : Manage books availability and state (the book has been damaged, there a notes written on it etc..)
  • Relationships : Manage contact by email, phone with borrowers, and tracks the care they take to your books, if they return it on schedule.

Since we are using CQRS (and even more, Event Sourcing), aggregates in these context don’t need more state that what’s needed to take decisions,

So a Book in the Inventory Context will probably not need more that the Id of the borrower and the date a witch it was borrowed.
We can then call the ReturnToShelf command on the Book that will publish a ReturnedLateToShelf { Book : bookId, By : borrowerId, After : 20 days, LateBy : 6 days  }.

A Handler at the Relationships Boundary will catch the event, and call a CheckExcuseForLateReturn on the Borrower Aggregate Root (based on its id). The command will check the borrower’ss record to see if its acceptable. It will simply publish a LateReturnGentlyAccepted if the borrower is usually in time, but will publish a KindnessLimitReached in the other case.

Another handler will catch it, and call SendAngryMessage on the Messaging Service. The role of the Messaging Service is to tweet borrowers to let them know they should not forget to return your books. How does this service know the twitter account of the borrower ? When the handler (the one that call SendAngryMessage) catches a BorrowerRegistered event or a BorrowerTwitterAccountChanged message, it says so to the service that can maintain a list of accounts in any desired storage (SLQ, NoSql, in memory.. ?). The SendAngryMessage can now tweet ‘Hey you filthy @borrower, you better return my book today or I shall share all the pics from your last party…’

Done.

Where does data live ?

There’s usually a huge concern about data duplication in all contexts. Is the info duplicated in so many places ?

There will be two main places :

  • The Persistent View Model used to see and edit borrower’s details
  • The Persistent View Model used by the messaging service to Query borrower’s twitter accounts. Here, no other borrower’s data is needed except its id and account name.

The Borrower Aggregate Root and Book Aggregate Root in the two main Domain Bounded Contexts will not need to keep track of this kind of data. They won’t need it in their decision process.

If you pursue this idea, to answer further to Leonardo, you’ll notice that strings will probably never been used as state inside Domain Bounded Context. They can appear as identity key, or just pass through a command and be republished in the following event. But since strings are rarely – if never – a good way to represent information on which you’ll have to take a decision, it should almost never be stored in an aggregate root current state. This is another reason why most domain models can fit in memory, because names, descriptions and other documents usually represent the biggest part of the data in a system, the remaining data is usually small. These documents and names are useless to run domain  internal logic (except validation rules, but not state change rules) so they can simply be logged in events and persisted in the Query’s View Models. Only state needed to take state change decisions will stay in memory.