I'm using CQRS + ES and I have a modeling problem that can't find a solution for.
You can skip the below and answer the generic question in the title: Where would you query data needed for business logic?
Sorry of it turned out to be a complex question, my mind is twisted at the moment!!!
Here's the problem:
I have users that are members of teams. It's a many to many relationship. Each user has an availability status per team.
Teams receive tickets, each with a certain load factor, that should be assigned to one of the team's members depending on their availability and total load.
First Issue, I need to query the list of users that are available in a team and select the one with the least load since he's the eligible for assignment.(to note that this is one of the cases, it might be a different query to run)
Second Issue, load factor of a ticket might change so i have to take that into consideration when calculating the total load per user . Noting that although ticket can belong to 1 team, the assignment should be based on the user total load and not his load per that team.
Currently a TicketReceivedEvent is received by this bounded context and i should trigger a workflow to assign that ticket to a user.
Possible Solutions:
I'm inclined to go with the first solution, it seems easier to maintain, modify/extend and locate in code but maybe there's something i'm missing.
When to use CQRS pattern. Consider CQRS for the following scenarios: Collaborative domains where many users access the same data in parallel. CQRS allows you to define commands with enough granularity to minimize merge conflicts at the domain level, and conflicts that do arise can be merged by the command.
CQRS is a popular architecture pattern because it addresses a common problem to most enterprise applications. Separating write behavior from read behavior, which the essence of the CQRS architectural pattern, provides stability and scalability to enterprise applications while also improving overall performance.
If you're applying CQRS and Vertical Slice Architecture you'll likely want a repository to build up Aggregates. However, for a Query, you may want to just get the data you need rather than an entire aggregate (or collection of aggregates) to build a view model.
Always (well, 99.99% of cases) in the business/domain layer i.e in your "Command" part of CQRS. This means that your repositories should have methods for the specific queries and your persistence model should be 'queryable' enough for this purpose. This means you have to know more about the use cases of your Domain before deciding how to implement persistence.
Using a document db (mongodb, raven db or postgres) might make work easier. If you're stuck with a rdbms or a key value store, create querying tables i.e a read model for the write model, acting as an index :) (this assumes you're serializing objects). If you're storing things relationally with specific table schema for each entity type (huge overhead, you're complicating your life) then the information is easily queryable automatically.
Why can't you query the aggregates involved?
I took the liberty to rewrite the objective:
Assign team-ticket to user with the lowest total load.
Here we have a Ticket
which should be able to calculate a standard load factor, a Team
which knows its users, and a User
which knows its total load and can accept new tickets:
Update: If it doesn't feel right to pass a repository to an aggregate, it can be wrapped in a service, in this case a locator. Doing it this way makes it easier to enforce that only one aggregate is updated at a time.
public void AssignTicketToUser(int teamId, int ticketId)
{
var ticket = repository.Get<Ticket>(ticketId);
var team = repository.Get<Team>(teamId);
var users = new UserLocator(repository);
var tickets = new TicketLocator(repository);
var user = team.GetUserWithLowestLoad(users, tickets);
user.AssignTicket(ticket);
repository.Save(user);
}
The idea is that the User
is the only aggregate we update.
The Team
will know its users:
public User GetGetUserWithLowestLoad(ILocateUsers users, ILocateTickets tickets)
{
User lowest = null;
foreach(var id in userIds)
{
var user = users.GetById(id);
if(user.IsLoadedLowerThan(lowest, tickets))
{
lowest = user;
}
}
return lowest;
}
Update: As a ticket may change load over time, the User
needs to calculate its current load.
public bool IsLoadedLowerThan(User other, ILocateTickets tickets)
{
var load = CalculateLoad(tickets);
var otherLoad = other.CalculateLoad(tickets);
return load < otherLoad;
}
public int CalculateLoad(ILocateTickets tickets)
{
return assignedTicketIds
.Select(id => tickets.GetById(id))
.Sum(ticket.CalculateLoad());
}
The User
then accepts the Ticket:
public void AssignTicket(Ticket ticket)
{
if(ticketIds.Contains(ticket.Id)) return;
Publish(new TicketAssignedToUser
{
UserId = id,
Ticket = new TicketLoad
{
Id = ticket.Id,
Load = ticket.CalculateLoad()
}
});
}
public void When(TicketAssignedToUser e)
{
ticketIds.Add(e.Ticket.Id);
totalLoad += e.Ticket.Load;
}
I would use a process manager / saga to update any other aggregate.
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