Eventhus

CQRS/ES toolkit for Go.

CQRS stands for Command Query Responsibility Segregation. It's a pattern that I first heard described by Greg Young. At its heart is the notion that you can use a different model to update information than the model you use to read information.

The mainstream approach people use for interacting with an information system is to treat it as a CRUD datastore. By this I mean that we have mental model of some record structure where we can create new records, read records, update existing records, and delete records when we're done with them. In the simplest case, our interactions are all about storing and retrieving these records.

Event Sourcing ensures that every change to the state of an application is captured in an event object, and that these event objects are themselves stored in the sequence they were applied for the same lifetime as the application state itself.

Examples

bank account shows a full example with deposits and withdrawls.

Usage

There are 3 basic units of work: event, command and aggregate.

Command

A command describes an action that should be performed; it's always named in the imperative tense such as PerformDeposit or CreateAccount.

Let’s start with some code:

import "github.com/mishudark/eventhus"

// PerformDeposit to an account
type PerformDeposit struct {
	eventhus.BaseCommand
	Amount int
}

At the beginning, we create the PerformDeposit command. It contains an anonymous struct field of type eventhus.BaseCommand. This means PerformDeposit automatically acquires all the methods of eventhus.BaseCommand.

You can also define custom fields, in this case Amount contains a quantity to be deposited into an account.

Event

An event is the notification that something happened in the past. You can view an event as the representation of the reaction to a command after being executed. All events should be represented as verbs in the past tense such as CustomerRelocated, CargoShipped or InventoryLossageRecorded.

We create the DepositPerformed event; it's a pure go struct, and it's the past equivalent to the previous command PerformDeposit:

// DepositPerformed event
type DepositPerformed struct {
	Amount int
}

Aggregate

The aggregate is a logical boundary for things that can change in a business transaction of a given context. In the Eventhus context, it simplifies the process the commands and produce events.

Show me the code!

import "github.com/mishudark/eventhus"

//Account of bank
type Account struct {
	eventhus.BaseAggregate
	Owner   string
	Balance int
}

We create the Account aggregate. It contains an anonymous struct field of type eventhus.BaseAggregate. This means Account automatically acquires all the methods of eventhus.BaseAggregate.

Additionally Account has the fields Balance and Owner that represent the basic info of this context.

Now that we have our aggregate, we need to process the PerformDeposit command that we created earlier:

// HandleCommand create events and validate based on such command
func (a *Account) HandleCommand(command eventhus.Command) error {
	event := eventhus.Event{
		AggregateID:   a.ID,
		AggregateType: "Account",
	}

	switch c := command.(type) {
	case CreateAccount:
		event.AggregateID = c.AggregateID
		event.Data = &AccountCreated{c.Owner}

	case PerformDeposit:
		event.Data = &DepositPerformed{
			c.Amount,
		}
	}

	a.BaseAggregate.ApplyChangeHelper(a, event, true)
	return nil
}

First, we create an event with the basic info AggregateID as an identifier and AggregateType with the same name as our aggregate. Next, we use a switch to determine the type of the command and produce an event as a result.

Finally, the event should be applied to our aggregate; we use the helper BaseAggregate.ApplyChangeHelper with the params aggregate, event and the last argument set to true, meaning it should be stored and published via event store and event publisher.

Note: eventhus.BaseAggregate has some helper methods to make our life easier, we use HandleCommand to process a command and produce the respective event.

The last step in the aggregate journey is to apply the events to our aggregate:

// ApplyChange to account
func (a *Account) ApplyChange(event eventhus.Event) {
	switch e := event.Data.(type) {
	case *AccountCreated:
		a.Owner = e.Owner
		a.ID = event.AggregateID
	case *DepositPerformed:
		a.Balance += e.Amount
	}
}

Also, we use a switch-case format to determine the type of the event (note that events are pointers), and apply the respective changes.

Note: The aggregate is never saved in its current state. Instead, it is stored as a series of events that can recreate the aggregate in its last state.

Saving the events, publishing them, and recreating an aggregate from event store is made by Eventhus out of the box.

Config

Eventhus needs to be configured to manage events and commands, and to know where to store and publish events.

Event Store

Currently, it has support for MongoDB. Rethinkdb is in the scope to be added.

We create an event store with config.Mongo; it accepts host, port and table as arguments:

import "github.com/mishudark/eventhus/config"
...

config.Mongo("localhost", 27017, "bank") // event store

Event Publisher

RabbitMQ and Nats.io are supported.

We create an eventbus with config.Nats, it accepts url data config and useSSL as arguments:

import 	"github.com/mishudark/eventhus/config"
...

config.Nats("nats://ruser:[email protected]:4222", false) // event bus

Wire it all together

Now that we have all the pieces, we can register our events, commands and aggregates:

import (
	"github.com/mishudark/eventhus"
	"github.com/mishudark/eventhus/commandhandler/basic"
	"github.com/mishudark/eventhus/config"
	"github.com/mishudark/eventhus/examples/bank"
)

func getConfig() (eventhus.CommandBus, error) {
	// register events
	reg := eventhus.NewEventRegister()
	reg.Set(bank.AccountCreated{})
	reg.Set(bank.DepositPerformed{})
	reg.Set(bank.WithdrawalPerformed{})

    // wire all parts together
	return config.NewClient(
		config.Mongo("localhost", 27017, "bank"),                    // event store
		config.Nats("nats://ruser:[email protected]:4222", false), // event bus
		config.AsyncCommandBus(30),                                  // command bus
		config.WireCommands(
			&bank.Account{},          // aggregate
			basic.NewCommandHandler,  // command handler
			"bank",                   // event store bucket
			"account",                // event store subset
			bank.CreateAccount{},     // command
			bank.PerformDeposit{},    // command
			bank.PerformWithdrawal{}, // command
		),
	)
}

Now you are ready to process commands:

uuid, _ := utils.UUID()

// 1) Create an account
var account bank.CreateAccount
account.AggregateID = uuid
account.Owner = "mishudark"

commandBus.HandleCommand(account)

First, we generate a new UUID. This is because is a new account and we need a unique identifier. After we created the basic structure of our CreateAccount command, we only need to send it using the commandbus created in our config.

Event consumer

You should listen to your eventbus, the format of the event is always the same, only the data key changes in the function of your event struct.

{
  "id": "0000XSNJG0SB2WDBTATBYEC51P",
  "aggregate_id": "0000XSNJG0N0ZVS3YXM4D7ZZ9Z",
  "aggregate_type": "Account",
  "version": 1,
  "type": "AccountCreated",
  "data": {
    "owner": "mishudark"
  }
}

Prior Art

• looplab/eventhorizon
• andrewwebber/cqrs