spry

README

spry

main build

An event sourcing library in Go.

Initial postgres backend and in-memory storage implementation are functional.

Use

The following example demonstrates the simplest use of spry - implementing application behavior as models (actors), commands, and events.

package main

import (
	"fmt"
	"os"

	"github.com/authstar/spry"
	"github.com/authstar/spry/memory"
	"github.com/authstar/spry/postgres"
	"github.com/authstar/spry/storage"
)

// Actors are how you model state in spry.

type Player struct {
	Name  string
	Score uint32
}

// All Actors must provide a method that identifies an actor uniquely based on
// its state.
// Identifiers are a set of key/value pairs based on model state that uniquely 
// identifies the model.
// A field like Name is a decent choice (assuming you can enforce uniqueness).
// Score would be a mistake to include!

func (p Player) GetIdentifiers() spry.Identifiers {
	return spry.Identifiers{"Name": p.Name}
}

// Actors may optionally implement a method that returns configuration details 
// to the storage engine in spry controlling how often and when spry should 
// take a snapshot.

func (p Player) GetConfiguration() spry.ActorMeta {
	// defaults are shown below
	return spry.ActorMeta{
		snapshotFrequency: 			10,     // produces snapshots often
		snapshotDuringRead: 		false,  // prevents snapshotting during fetch (read)
		snapshotDuringWrite: 		true,   // take snapshots during command handling (write)
		snapshotDuringPartition: 	true,   // if supported by the storage adpater, 
										    // snapshot even if a partition is detected
	}
}

// Commands are VerbNoun named structures that target a specific Actor using 
// the same function signature that Actors have.
// The command must carry enough information to correctly target a specific 
// Actor instance.

type CreatePlayer struct {
	Name string
}

func (c CreatePlayer) GetIdentifiers() spry.Identifiers {
	return spry.Identifiers{"Name": c.Name}
}

// Commands must also provide a Handle method for accepting an Actor instance
// and determining how to handle that type of Actor. The Handle method must 
// never mutate the Actor and should return either events or errors that 
// describe why the command was invalid for a given actor state. Commands 
// passed an actor type that isn't relevant should no-op and return empty 
// arrays.

func (command CreatePlayer) Handle(actor any) ([]spry.Event, []error) {
	var events []spry.Event
	switch actor.(type) {
	case Player:
		events = append(events, PlayerCreated(command))
	}
	return events, []error{}
}

// Events must implement an Apply method, similar to Command's Handle. 
// Events are expected to handle any Actor type passed to them. An Event's 
// job is to mutate a copy of the Actor's state.

type PlayerCreated struct {
	Name string
}

// This shows that the Apply function can dispatch the application to a method 
// on the Event or the Actor the point is that you have flexibility in how you
// model your application as long as each "primitive" implements the required 
// methods.

func (e PlayerCreated) Apply(actor any) any {
	switch a := actor.(type) {
	case *Player:
		e.applyToPlayer(a)
	}
	return actor
}

func (e PlayerCreated) applyToPlayer(player *Player) {
	player.Score = 0
	player.Name = e.Name
}

// spry's API is exposed via a Repository instance.
// Repositories are strongly-typed to a single Actor type. Repository instances
// are created by a Storage implementation. Two implementations currently 
// exist:
// - InMemory (for simple testing)
// - Postgres

// creating a Repository from an InMemoryStore:

func FromMemory[T spry.Actor[T]]() spry.Repository[T] {
	memoryStore := memory.InMemoryStorage()
	return storage.GetRepositoryFor[T](memoryStore)
}

// creating a Repository from a PostgresStore:

func FromPostgres[T spry.Actor[T]](connectionURI string) spry.Repository[T] {
	postgresStore := postgres.CreatePostgresStorage(connectionURI)
	// any disk backed stores will require you to register event types
	// with the storage mechanism so it will know how to correctly deserialize
	// those events on fetch
	postgresStore.RegisterPrimitives({
		PlayerCreated{}
	})
	return storage.GetRepositoryFor[T](postgresStore)
}

// Let's see how all this comes together when using the Repository API:

func main() {
	// let's get our repository:

	// no errors are returned - storage instances will intentionally panic
	// and crash the process when a storage medium cannot be contacted
	players := FromPostgres[Player]("postgres://user:password@localhost:5432/dbname")

	// let's create Player
	results := players.Handle(CreatePlayer{Name: "A Super Unique Name"})

	// the results struct has 4 properties:
	// * Original - the initial state of the Actor instance
	// * Modified - the new state of the Actor (if any) that occurs after the
	//				Events produced by the Command (if any) are applied to the
	//				Original state of the Actor.
	// * Events	- the events that were produced by handling the
	//			  Command on the Actor given it's original state.
	// * Errors - the errors produced by by attempting to handle
	//			  the Command for the Actor in its Original state.
	//			  Errors are how your model should indicate that
	//			  a Command is not valid in the Actor's given state.
	fmt.Printf("Player created: %s\n", results.Modified.Name)

	// To get the present state of your Actor, you can call Fetch:
	myPlayer, err := players.Fetch(spry.Identifiers{"Name": "A Super Unique Name"})
	if err != nil {
		fmt.Println("failed to read player", err)
		os.Exit(1)
	}
	fmt.Printf("loaded player %s successfully", myPlayer.Name)
}

Why?

An initial glance may make this seem like more effort than a more common CRUD/ORM based approach where models are persisted and read directly to / from specialized schema and generated (or handwritten) queries. While this approach is common and familiar, it has a number of shortcomings that we tend not to consider until we're faced with the limitations.

1. All data requires a purpose-written schema
2. All persistence and access require tailored queries defined as SQL or ORM DSL
3. All writes destroy data from the system - you can't read old information
4. Errors in application code or queries result in permanent data loss
5. Performance tuning is always specific to targeted schema or queries
6. Performance behavior is unpredictable as data sets or read/write volume grows
7. Integrations take longer and require constant maintenance

In contrast, an event-sourced approach like this one has the following advantages:

1. No schema to write or manage: the schema is uniform across all models
2. No queries to write or adapt: storage adapters can pre-implement all queries ahead of time
3. No data loss during writes: events provide a complete log of all historical state
4. Fix and replay: changes in event application can correct defects in how state was determined
5. Improvements are global: improvements to a storage adapter impact all Actor's data access
6. Performance behavior is more predictable with uniform access patterns
7. Simple integrations: build integrations around event streams produced by your application

Concepts

Availability and Partition Tolerance

spry provides some configuration behaviors for Actors that allow the application to tune behaviors like snapshotting frequency to adapt to specific data access patterns without forcing application authors to delve into implementation details. That said, its focus is on providing an approach to event sourcing that is very similar to CRDTs in that storage adapters can detect divergent replicas (incompatible snapshots) and repair them automatically when possible. This means that partitions in your system or storage layer don't have to result in offline modes or degraded availability.

Emphasis on Simplicity

spry is our best attempt to push complexity and storage concerns downward into an implementation with a simple API and simple conventions. Convention is used over configuration in every case where we've been able to manage it.

Actors

An actor's role is to provide data and identifiers that uniquely set it apart from every other Actor of the same type. They can include methods that handle a Command or apply an event but this is a stylistic choice for the application authors to make.

Commands

A command is how we define change to an Actor's state. Instead of mutating the Actor state directly, the command should result in one or more events or one or more errors. Events define the changes to take place when applied to the model while errors should explain to the application why the Actor's logic refuses to handle the command.

Events

Events are essentially a mutator attached to data. With ordering guarantees, we can always load events, apply them in order to a baseline (or new instance) and get the same result. This quality is sometimes referred to as commutation because different processes can derive the same state independent of one another given access to the event log.

Ordering Guarantees

Spry makes use of RFC 4122 v6 which provides coordination-free, k-ordered, UUIDs. These ids are used as ids across all record types. This should ensure that events and snapshots can always sort in the order they were created.

Snapshots

Snapshots are a point-in-time capture of an Actor's state. Creating these at regular, configurable intervals prevents spry from having to read every event that has occurred for a particular actor over its entire history.

Projections

A projection is state derived through defined operations over an even stream. An Actor is a subset of projection in spry. Each Actor type in spry produces and derives its state from a specific event stream. There are two other types of projections in spry:

Aggregate Projection

An Aggregate Projection provides a mechanism for defining an Actor model that includes event streams from other Actor types that have some application-defined relationship between them. This mechanism allows the application more flexibility in how complex sets of behaviors interact in an event sourced system. The most likely use your application will have for Aggregates is when you need to enforce rules or behaviors over distinct sets of Actors.

Note: it's important to point out that this is advanced modeling and will introduce some complexity into how you design and implement your application behavior.

Query Projection

A Query Projection is similar to an Aggregate projection except it does not require predefined relationships between Actors in order to consume events from multiple streams. Queries do not have their own event stream since they are a read-only model over other Actors' event streams.

Storage

Philosophy

When writing a storage adapter for spry, it's important to remember a few guiding principles:

• Every app/service is expected to have its own database
• Every Actor should receive its own set of tables/buckets/storage
• All write operations should be append only (INSERT vs UPDATE)
• The UUIDs produced by Spry should never be exposed to the application
• spry depends on a unique set of Identifiers mapping to one UUID consistently
• Aggregates require some mechanism for linking different records to the aggregate
• Queries require a mechanism that can index

CommandStore

The CommandStore exists primarily to provide a causal log of all actions carried out against the application. Event records point back to the originating command that produced them.

EventStore

The EventStore is responsible for persistence and loading of the event stream (event log) for Actors.

MapStore

The MapStore is responsible for: 1. Associating a unique set of Identifiers with a UUID 1. Linking different Actors together to create an Aggregate

SnapshotStore

The SnapshotStore stores and accesses snapshots to prevent spry from having to rehydrate Actor/Aggregate/Query state from scratch each time.

Documentation

Index

• func ContainsChild[T HasIdentity](list []T, child HasIdentity) bool
• func FromJson[T any](bytes []byte) (T, error)
• func IdentifiersToString(ids Identifiers) (string, error)
• func ToJson[T any](obj T) ([]byte, error)
• type Actor
• type ActorMeta
  • func GetActorMeta[T any]() ActorMeta
• type Aggregate
• type Command
• type Event
• type EventMetadata
  • func GetEventMeta(event any) EventMetadata
  • func (e EventMetadata) GetEventMeta() EventMetadata
• type HasIdentities
• type HasIdentity
• type HasMeta
• type IdSet
  • func CreateIdSet() IdSet
  • func IdSetFromIdentifierSet(ids IdentifierSet) IdSet
  • func (set *IdSet) AddIdsFor(actorName string, ids ...Identifiers)
  • func (set *IdSet) GetIdsFor(actorName string) []Identifiers
  • func (set *IdSet) RemoveIdsFrom(actorName string, ids ...Identifiers) bool
  • func (set *IdSet) ToIdentifierSet() IdentifierSet
• type IdentifierSet
• type Identifiers
• type Namespaced
• type Repository
• type Results

Functions

func ContainsChild

func ContainsChild[T HasIdentity](list []T, child HasIdentity) bool

func FromJson

func FromJson[T any](bytes []byte) (T, error)

func IdentifiersToString

func IdentifiersToString(ids Identifiers) (string, error)

func ToJson

func ToJson[T any](obj T) ([]byte, error)

Types

type Actor

type Actor[T any] interface {
	HasIdentity
}

type ActorMeta

type ActorMeta struct {
	// how many events should occur before the next snapshot
	SnapshotFrequency int
	// controls whether snapshots occur during fetch (read)
	SnapshotDuringRead bool
	// controls whether snapshots occur during handle (write)
	SnapshotDuringWrite bool
	// controls whether snapshots can occur during partitions
	// requires a storage adapter for a database that can
	// detect this
	SnapshotDuringPartition bool
}

func GetActorMeta

func GetActorMeta[T any]() ActorMeta

type Aggregate

type Aggregate[T any] interface {
	HasIdentities
}

type Command

type Command interface {
	Handle(any) ([]Event, []error)
}

type Event

type Event interface {
	Apply(any) any
}

type EventMetadata

type EventMetadata struct {
	CreatedBy  string
	CreatedFor string
}

func GetEventMeta

func GetEventMeta(event any) EventMetadata

func (EventMetadata) GetEventMeta

func (e EventMetadata) GetEventMeta() EventMetadata

type HasIdentities

type HasIdentities interface {
	GetIdentifierSet() IdentifierSet
}

type HasIdentity

type HasIdentity interface {
	GetIdentifiers() Identifiers
}

type HasMeta

type HasMeta interface {
	GetActorMeta() ActorMeta
}

type IdSet

type IdSet struct {
	// contains filtered or unexported fields
}

func CreateIdSet

func CreateIdSet() IdSet

func IdSetFromIdentifierSet

func IdSetFromIdentifierSet(ids IdentifierSet) IdSet

func (*IdSet) AddIdsFor

func (set *IdSet) AddIdsFor(actorName string, ids ...Identifiers)

func (*IdSet) GetIdsFor

func (set *IdSet) GetIdsFor(actorName string) []Identifiers

func (*IdSet) RemoveIdsFrom

func (set *IdSet) RemoveIdsFrom(actorName string, ids ...Identifiers) bool

func (*IdSet) ToIdentifierSet

func (set *IdSet) ToIdentifierSet() IdentifierSet

type IdentifierSet

type IdentifierSet = map[string][]Identifiers

type Identifiers

type Identifiers = map[string]any

type Namespaced

type Namespaced interface {
	GetEventMeta() EventMetadata
}

type Repository

type Repository[T Actor[T]] interface {
	Apply(events []Event, actor T) T
	Fetch(ids Identifiers) (T, error)
	Handle(command Command) Results[T]
}

type Results

type Results[T any] struct {
	Original T
	Modified T
	Events   []Event
	Errors   []error
}