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@crichardson
Developing functional domain
models with event sourcing
Chris Richardson
Author of POJOs in Action
Founder of the original CloudFoundry.com
@crichardson
chris@chrisrichardson.net
http://plainoldobjects.com
http://microservices.io
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synchronization on InfoQ.com!
http://www.infoq.com/presentations
/functional-domain-models
Presented at QCon New York
www.qconnewyork.com
Purpose of QCon
- to empower software development by facilitating the spread of
knowledge and innovation
Strategy
- practitioner-driven conference designed for YOU: influencers of
change and innovation in your teams
- speakers and topics driving the evolution and innovation
- connecting and catalyzing the influencers and innovators
Highlights
- attended by more than 12,000 delegates since 2007
- held in 9 cities worldwide
@crichardson
Presentation goal
How to develop functional
domain models based on event
sourcing
@crichardson
About Chris
Consultant &
Founder of Eventuate.IO
@crichardson
For more information
http://microservices.io
http://github.com/cer/microservices-examples/
https://github.com/cer/event-sourcing-examples
http://plainoldobjects.com/
https://twitter.com/crichardson
http://eventuate.io/
@crichardson
Agenda
Why event sourcing?
Designing a domain model based on event sourcing
Event sourcing and service design
Microservices and event sourcing
@crichardson
Tomcat
Traditional monolithic
architecture
Browser/
Client
WAR/EAR
RDBMS
Customers
Accounts
Transfers
Banking UI
develop
test
deploy
Simple
Load
balancer
scale
Spring MVC
Spring
Hibernate
...
HTML
REST/JSON
ACID
@crichardson
But large and/or complex
monolithic applications
=
Trouble!
@crichardson
Using a single RDBMS has its
limitations
@crichardson
Apply the scale cube
X axis
- horizontal duplication
Z
axis
-data
partitioning
Y axis -
functional
decomposition
Scale
by
splitting
sim
ilar
things
Scale by
splitting
different things
@crichardson
Today: use a microservice, polyglot
architecture
Banking UI
Account Management Service
MoneyTransfer Management
Service
Account
Database MoneyTransfer Database
Standalone
services
Sharded SQLNoSQL DB
@crichardson
But now we have
distributed data management
problems
@crichardson
Example: Money transfer
Account Management
Service
MoneyTransfer
Management Service
Account
Database
MoneyTransfer
Database
Account #1 Money Transfer
Account #2
No 2PC
No
ACID
NoSQL SQL
@crichardson
Use an event-driven
architecture
Services publish events when state changes
Services subscribe to events and update their state
Maintain eventual consistency across multiple aggregates
(in multiple datastores)
Synchronize replicated data
@crichardson
MoneyTransferService
MoneyTransfer
fromAccountId = 101
toAccountId = 202
amount = 55
state = INITIAL
MoneyTransfer
fromAccountId = 101
toAccountId = 202
amount = 55
state = DEBITED
MoneyTransfer
fromAccountId = 101
toAccountId = 202
amount = 55
state = COMPLETED
Eventually consistent money transfer
Message Bus
AccountService
transferMoney()
Publishes:
Subscribes to:
Subscribes to:
publishes:
MoneyTransferCreatedEvent
AccountDebitedEvent
DebitRecordedEvent
AccountCreditedEvent
MoneyTransferCreatedEvent
DebitRecordedEvent
AccountDebitedEvent
AccountCreditedEvent
Account
id = 101
balance = 250
Account
id = 202
balance = 125
Account
id = 101
balance = 195
Account
id = 202
balance = 180
@crichardson
How to
atomically
update the database
and
publish an event
without 2PC?
(dual write problem)
@crichardson
Event sourcing
For each aggregate:
Identify (state-changing) domain events
Define Event classes
For example,
Account: AccountOpenedEvent, AccountDebitedEvent,
AccountCreditedEvent
ShoppingCart: ItemAddedEvent, ItemRemovedEvent,
OrderPlacedEvent
@crichardson
Persists events
NOT current state
Account
balance
open(initial)
debit(amount)
credit(amount)
AccountOpened
Event table
AccountCredited
AccountDebited
101 450
Account table
X
101
101
101
901
902
903
500
250
300
@crichardson
Replay events to recreate state
Account
balance
AccountOpenedEvent(balance)
AccountDebitedEvent(amount)
AccountCreditedEvent(amount)
Events
@crichardson
Before: update state + publish
events
Two actions that must be atomic
Single action that can be
done atomically
Now: persist (and publish)
events
@crichardson
Optimizing using snapshots
Most aggregates have relatively few events
BUT consider a 10-year old Account many transactions
Therefore, use snapshots:
Periodically save snapshot of aggregate state
Typically serialize a memento of the aggregate
Load latest snapshot + subsequent events
@crichardson
Request handling in an event-sourced application
HTTP
Handler
Event
Store
pastEvents = findEvents(entityId)
Account
new()
applyEvents(pastEvents)
newEvents = processCmd(SomeCmd)
saveEvents(newEvents)
Microservice A
(optimistic locking)
@crichardson
Event Store publishes events -
consumed by other services
Event
Store
Event
Subscriber
subscribe(EventTypes)
publish(event)
publish(event)
Aggregate
NoSQL
materialized
view
update()
update()
Microservice B
@crichardson
About the event store
Hybrid database and message broker
Retrieve events for an aggregate
Append to an aggregates events
Subscribe to events
Event store implementations:
Home-grown/DIY
geteventstore.com by Greg Young
My event store - bit.ly/trialeventuate
@crichardson
Business benefits of event
sourcing
Built-in, reliable audit log
Enables temporal queries
Publishes events needed by big data/predictive analytics etc.
Preserved history More easily implement future requirements
@crichardson
Technical benefits of event
sourcing
Solves data consistency issues in a Microservice/NoSQL-based
architecture:
Atomically save and publish events
Event subscribers update other aggregates ensuring eventual
consistency
Event subscribers update materialized views in SQL and
NoSQL databases (more on that later)
Eliminates O/R mapping problem
@crichardson
Drawbacks of event sourcing
Weird and unfamiliar
Events = a historical record of your bad design decisions
Handling duplicate events can be tricky
Application must handle eventually consistent data
Event store only directly supports PK-based lookup (more on
that later)
@crichardson
Agenda
Why event sourcing?
Designing a domain model based on event sourcing
Event sourcing and service design
Microservices and event sourcing
@crichardson
Use the familiar building blocks
of DDD
Entity
Value object
Services
Repositories
Aggregates
With some
differences
@crichardson
Partition the
domain model
into Aggregates
Aggregate design
Graph consisting of a root
entity and one or more other
entities and value objects
Each core business entity =
Aggregate: e.g. customer,
Account, Order, Product, ….
Reference other aggregate
roots via primary key
Often contains partial copy
of other aggregates’ data
Order
OrderLine
Item
quantity
productId
productName
productPrice
customerId
Address
street
city
…
@crichardson
Aggregate granularity is
important
Transaction = processing one command by one aggregate
No opportunity to update multiple aggregates within a
transaction
If an update must be atomic (i.e. no compensating transaction)
then it must be handled by a single aggregate
e.g. scanning boarding pass at security checkpoint or when
entering jetway
@crichardson
Aggregate granularity
Forum
Post
User
moderator
author
Forum
Post
User
moderator
author
Forum
Post
User
moderator
author
Consistency
Scalability/
User experience
@crichardson
ES-based Aggregate design
class Account {
var balance : Money;
def debit(amount : Money) {
balance = balance - amount
}
}
case class Account(balance : Money) {
def processCommand(cmd : Command) : Seq[Event] = ???
def applyEvent(event : Event) : Account = …
}
case class DebitCommand(amount : Money)
case class AccountDebitedEvent(amount : Money)
Classic,
mutable
domain model
Event centric,
immutable
Designing domain events
Record state changes for an
aggregate
Part of the public API of the
domain model ProductAddedToCart
id : TimeUUID
productId
productName
productPrice
shoppingCartId
Required by
aggregate
Enrichment:
Used by consumers
@crichardson
Designing commands
Created by a service from incoming request
Processed by an aggregate
Immutable
Contains value objects for
Validating request
Creating event
Auditing user activity
@crichardson
Events and Commands
@crichardson
Hybrid OO/FP domain objects
@crichardson
OO = State + Behavior
balance
Account
processCommand(cmd : Command) : Seq[Events]
applyEvent(event : Event) : Account
State
Behavior
@crichardson
Aggregate traits
Map Command to Events
Apply event returning
updated Aggregate
Used by
Event Store to
reconstitute
aggregate
@crichardson
Account - command processing
Prevent
overdraft
@crichardson
Account - applying events
Immutable
@crichardson
Event Store API
trait EventStore {
def save[T <: Aggregate[T]](entity: T, events: Seq[Event],
assignedId : Option[EntityId] = None): Future[EntityWithIdAndVersion[T]]
def update[T <: Aggregate[T]](entityIdAndVersion : EntityIdAndVersion,
entity: T, events: Seq[Event]): Future[EntityWithIdAndVersion[T]]
def find[T <: Aggregate[T] : ClassTag](entityId: EntityId) :
Future[EntityWithIdAndVersion[T]]
def findOptional[T <: Aggregate[T] : ClassTag](entityId: EntityId)
Future[Option[EntityWithIdAndVersion[T]]]
def subscribe(subscriptionId: SubscriptionId):
Future[AcknowledgableEventStream]
}
@crichardson
FP-style domain objects
@crichardson
FP = Separation of State and
Behavior
Account
balance
AccountAggregate
processCommand(Account, Command) : Seq[Events]
applyEvent(Account, Event) : Account
State
Behavior
@crichardson
Aggregate type classes/implicits
Used by
Event Store to
reconstitute
aggregate
@crichardson
Functional-style Account Aggregate
State Behavior
@crichardson
Functional-style Account Aggregate
Behavior
@crichardson
FP-style event store
Enables inference of
T, and EV
Tells ES how to instantiate
aggregate and apply events
=
Strategy
@crichardson
Haskell aggregate
https://gist.github.com/Fristi/7327904
@crichardson
Haskell TicTacToe aggregate
@crichardson
JavaScript aggregate
@crichardson
Agenda
Why event sourcing?
Designing a domain model based on event sourcing
Event sourcing and service design
Microservices and event sourcing
@crichardson
Designing services
Responsibilities and collaborations
Invoked by adapter, e.g. HTTP controller
Creates a Command
Selects new aggregate or existing aggregate to process command
Load aggregate from same bounded context, e.g. Add a Post to a Forum - load forum
Load data from another other bounded context, e.g. addProductToCart()
Requests ProductInfo from ProductService
Invokes PricingService to calculate discount price
Sometimes loads target aggregate before creating command
e.g. addProductToCart() needs contents of shopping cart to calculate discounted
price of product to add
@crichardson
Money transfer example
As a customer of the bank
I want to transfer money between two bank accounts
So that I don't have to write a check
Given that my open savings account balance is $150
Given that my open checking account balance is $10
When I transfer $50 from my savings account
to my checking account
Then my savings account balance is $100
Then my checking account balance is $60
Then a MoneyTransfer was created
Story
Scenario
Post
conditions
Pre
conditions
@crichardson
Old-style ACID…
public class MoneyTransferServiceImpl …{
private final AccountRepository accountRepository;
private final MoneyTransferRepository moneyTransferRepository;
…
@Transactional
public MoneyTransfer transfer(
String fromAccountId, String toAccountId,
double amount) throws MoneyTransferException {
Account fromAccount =
accountRepository.findAccount(fromAccountId);
Account toAccount =
accountRepository.findAccount(toAccountId);
// … Verify accounts are open …
fromAccount.debit(amount);
toAccount.credit(amount);
return moneyTransferRepository.createMoneyTransfer(
fromAccount, toAccount, amount);
}
}
… becomes eventually
consistent (BASE)
Updating multiple aggregates
multi-step, event-driven flow
each step updates one
Aggregate
Service creates saga to
coordinate workflow
A state machine
Part of the domain, e.g.
MoneyTransfer aggregate
OR Synthetic aggregate
Post-conditions eventually true
Money

Transfer
From
Account
To
Account
created
debited debit
recorded
credited
public MoneyTransfer transfer() {
… Creates MoneyTransfer …
}
@crichardson
Need compensating
transactions
Pre-conditions might be false when attempting to update an
aggregate
For example: an account might be closed transferring money:
from account when debiting stop transfer
to account reverse the debit
from account when attempting reversal bank wins!
@crichardson
MoneyTransferService Remoting
proxy
DSL concisely specifies:
1.Creates Account aggregate
2.Processes command
3.Applies events
4.Persists events
@crichardson
Event handling in Account
1.Load Account aggregate
2.Processes command
3.Applies events
4.Persists events
Durable subscription nameTriggers BeanPostProcessor
@crichardson
JavaScript service
@crichardson
Agenda
Why event sourcing?
Designing a domain model based on event sourcing
Event sourcing and service design
Microservices and event sourcing
@crichardson
Event Store only supports PK-
based lookup
Therefore….
@crichardson
ES+CQRS-based
microservices architecture
Event Store
Command-side
Updates
Events
Query-side
Queries
(Denormalized)
View
Events
Aggregate
@crichardson
Modular domain model
Forum
Post
User
moderator
author
Forum
Post
User
moderator
author
Tightly coupled
ACID
Loosely coupled aggregates
Eventually consistent
@crichardson
MonolithicFirst approach
Tomcat
WAR/EAR
Forum
Post
User
moderator
author
Not entirely free though -
Event Sourcing premium
@crichardson
But no Big Ball of Mud to
untangle
@crichardson
Microservices deployment
Tomcat
WAR/EAR
Much higher -
microservices premium
Forum
Tomcat
WAR/EAR
Post
Tomcat
WAR/EAR
User
@crichardson
Summary
Event sourcing solves a variety of problems in modern
application architectures
Scala is a great language for implementing ES-based domain
models:
Case classes
Pattern matching
Recreating state = functional fold over events
But Java, JavaScript and Haskell work too!
ES-based architecture = flexible deployment
@crichardson
@crichardson chris@chrisrichardson.net
http://plainoldobjects.com http://microservices.io
Watch the video with slide synchronization on
InfoQ.com!
http://www.infoq.com/presentations/functional
-domain-models

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