watermill

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 Go to latest Published: Nov 12, 2023 License: Apache-2.0, MIT Imports: 8 Imported by: 1

README

Watermill

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Watermill is a Go library for working efficiently with message streams. It is intended for building event driven applications, enabling event sourcing, RPC over messages, sagas and basically whatever else comes to your mind. You can use conventional pub/sub implementations like Kafka or RabbitMQ, but also HTTP or MySQL binlog if that fits your use case.

Goals

  • Easy to understand.
  • Universal - event-driven architecture, messaging, stream processing, CQRS - use it for whatever you need.
  • Fast (see Benchmarks).
  • Flexible with middlewares, plugins and Pub/Sub configurations.
  • Resilient - using proven technologies and passing stress tests (see Stability).

Getting Started

Pick what you like the best or see in order:

  1. Follow the Getting Started guide.
  2. See examples below.
  3. Read the full documentation: https://watermill.io/

Our online hands-on training

Examples

Background

Building distributed and scalable services is rarely as easy as some may suggest. There is a lot of hidden knowledge that comes with writing such systems. Just like you don't need to know the whole TCP stack to create a HTTP REST server, you shouldn't need to study all of this knowledge to start with building message-driven applications.

Watermill's goal is to make communication with messages as easy to use as HTTP routers. It provides the tools needed to begin working with event-driven architecture and allows you to learn the details on the go.

At the heart of Watermill there is one simple interface:

func(*Message) ([]*Message, error)

Your handler receives a message and decides whether to publish new message(s) or return an error. What happens next is up to the middlewares you've chosen.

You can find more about our motivations in our Introducing Watermill blog post.

Pub/Subs

All publishers and subscribers have to implement an interface:

type Publisher interface {
	Publish(topic string, messages ...*Message) error
	Close() error
}

type Subscriber interface {
	Subscribe(ctx context.Context, topic string) (<-chan *Message, error)
	Close() error
}

Supported Pub/Subs:

All Pub/Subs implementation documentation can be found in the documentation.

Unofficial libraries

Can't find your favorite Pub/Sub or library integration? Check Awesome Watermill.

If you know another library or are an author of one, please add it to the list.

Contributing

Please check our contributing guide.

Stability

Watermill v1.0.0 has been released and is production-ready. The public API is stable and will not change without changing the major version.

To ensure that all Pub/Subs are stable and safe to use in production, we created a set of tests that need to pass for each of the implementations before merging to master. All tests are also executed in stress mode - that means that we are running all the tests 20x in parallel.

All tests are run with the race condition detector enabled (-race flag in tests).

For more information about debugging tests, you should check tests troubleshooting guide.

Benchmarks

Initial tools for benchmarking Pub/Subs can be found in watermill-benchmark.

All benchmarks are being done on a single 16 CPU VM instance, running one binary and dependencies in Docker Compose.

These numbers are meant to serve as a rough estimate of how fast messages can be processed by different Pub/Subs. Keep in mind that the results can be vastly different, depending on the setup and configuration (both much lower and higher).

Here's the short version for message size of 16 bytes.

Pub/Sub Publish (messages / s) Subscribe (messages / s)
GoChannel 331,882 118,943
Redis Streams 61,642 11,213
NATS Jetstream (16 Subscribers) 49,255 33,009
Kafka (one node) 44,090 108,285
SQL (MySQL) 5,599 167
SQL (PostgreSQL, batch size=1) 3,834 455
Google Cloud Pub/Sub 3,689 30,229
AMQP 2,702 13,192

Support

If you didn't find the answer to your question in the documentation, feel free to ask us directly!

Please join us on the #watermill channel on the Three Dots Labs Discord.

Every bit of feedback is very welcome and appreciated. Please submit it using the survey.

Why the name?

It processes streams!

License

MIT License

Documentation

Overview

Package watermill fork from github.com/ThreeDotsLabs/watermill@v1.3.5

Watermill is a Golang library for working efficiently with message streams.

It is intended for building event driven applications, enabling event sourcing, RPC over messages, sagas and basically whatever else comes to your mind.

You can use conventional pub/sub implementations like Kafka or RabbitMQ, but also HTTP or MySQL binlog if that fits your use case.

Website with detailed documentation: https://watermill.io/

Getting started guide: https://watermill.io/docs/getting-started/

Index

Constants

View Source 
const (
	ContextKeyMessageUUID  = "watermill:message_uuid"
	ContextKeyRawMessageID = "watermill:raw_message_id"
	ContextLogFieldKey     = "watermill:context"
	MessageRouterAck       = "watermill:router_ack"
	MessageHeaderAppID     = "appid"
)

Variables

This section is empty.

Functions

This section is empty.

Types

type CaptureLoggerAdapter 

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

CaptureLoggerAdapter is a logger which captures all logs. This logger is mostly useful for testing logging.

func NewCaptureLogger 

func NewCaptureLogger() *CaptureLoggerAdapter

func (*CaptureLoggerAdapter) Captured 

func (c *CaptureLoggerAdapter) Captured() map[LogLevel][]CapturedMessage

func (*CaptureLoggerAdapter) Debug 

func (c *CaptureLoggerAdapter) Debug(msg string, fields LogFields)

func (*CaptureLoggerAdapter) Error 

func (c *CaptureLoggerAdapter) Error(msg string, err error, fields LogFields)

func (*CaptureLoggerAdapter) Has 

func (c *CaptureLoggerAdapter) Has(msg CapturedMessage) bool

func (*CaptureLoggerAdapter) HasError 

func (c *CaptureLoggerAdapter) HasError(err error) bool

func (*CaptureLoggerAdapter) Info 

func (c *CaptureLoggerAdapter) Info(msg string, fields LogFields)

func (*CaptureLoggerAdapter) Trace 

func (c *CaptureLoggerAdapter) Trace(msg string, fields LogFields)

func (*CaptureLoggerAdapter) With 

func (c *CaptureLoggerAdapter) With(fields LogFields) LoggerAdapter

type CapturedMessage 

type CapturedMessage struct {
	Level  LogLevel
	Fields LogFields
	Msg    string
	Err    error
}

type LogFields 

type LogFields map[string]any

LogFields is the logger's key-value list of fields.

func (LogFields) Add 

func (l LogFields) Add(newFields LogFields) LogFields

Add adds new fields to the list of LogFields.

func (LogFields) Copy 

func (l LogFields) Copy() LogFields

Copy copies the LogFields.

type LogLevel 

type LogLevel uint
const (
	TraceLogLevel LogLevel = iota + 1
	DebugLogLevel
	InfoLogLevel
	ErrorLogLevel
)

type LoggerAdapter 

type LoggerAdapter interface {
	Error(msg string, err error, fields LogFields)
	Info(msg string, fields LogFields)
	Debug(msg string, fields LogFields)
	Trace(msg string, fields LogFields)
	With(fields LogFields) LoggerAdapter
}

LoggerAdapter is an interface, that you need to implement to support Watermill logging. You can use StdLoggerAdapter as a reference implementation.

func NewStdLogger 

func NewStdLogger(debug, trace bool) LoggerAdapter

NewStdLogger creates StdLoggerAdapter which sends all logs to stderr.

func NewStdLoggerWithOut 

func NewStdLoggerWithOut(out io.Writer, debug bool, trace bool) LoggerAdapter

NewStdLoggerWithOut creates StdLoggerAdapter which sends all logs to provided io.Writer.

type NopLogger 

type NopLogger struct{}

NopLogger is a logger which discards all logs.

func (NopLogger) Debug 

func (NopLogger) Debug(msg string, fields LogFields)

func (NopLogger) Error 

func (NopLogger) Error(msg string, err error, fields LogFields)

func (NopLogger) Info 

func (NopLogger) Info(msg string, fields LogFields)

func (NopLogger) Trace 

func (NopLogger) Trace(msg string, fields LogFields)

func (NopLogger) With 

func (l NopLogger) With(fields LogFields) LoggerAdapter

type StdLoggerAdapter 

type StdLoggerAdapter struct {
	ErrorLogger *log.Logger
	InfoLogger  *log.Logger
	DebugLogger *log.Logger
	TraceLogger *log.Logger
	// contains filtered or unexported fields
}

StdLoggerAdapter is a logger implementation, which sends all logs to provided standard output.

func (*StdLoggerAdapter) Debug 

func (l *StdLoggerAdapter) Debug(msg string, fields LogFields)

func (*StdLoggerAdapter) Error 

func (l *StdLoggerAdapter) Error(msg string, err error, fields LogFields)

func (*StdLoggerAdapter) Info 

func (l *StdLoggerAdapter) Info(msg string, fields LogFields)

func (*StdLoggerAdapter) Trace 

func (l *StdLoggerAdapter) Trace(msg string, fields LogFields)

func (*StdLoggerAdapter) With 

func (l *StdLoggerAdapter) With(fields LogFields) LoggerAdapter

Source Files

View all Source files

Directories

Path Synopsis
components
cqrs
fanin
forwarder
metrics
requestreply
router/middleware
router/plugin
subscriber
pkg
publisher
subscriber
amqp
Package amqp fork from github.com/ThreeDotsLabs/watermill-amqp@f72ea40 AMQP implementation of Watermill's Pub/Sub interface.
 Package amqp fork from github.com/ThreeDotsLabs/watermill-amqp@f72ea40 AMQP implementation of Watermill's Pub/Sub interface.
gochannel
io
Package io fork from github.com/ThreeDotsLabs/watermill-io@c24ff9d
 Package io fork from github.com/ThreeDotsLabs/watermill-io@c24ff9d
kafka
Package kafka fork from github.com/ThreeDotsLabs/watermill-kafka@v2.5.0
 Package kafka fork from github.com/ThreeDotsLabs/watermill-kafka@v2.5.0
pulsar
Package pulsar fork from github.com/AlexCuse/watermill-pulsar@f5e8591
 Package pulsar fork from github.com/AlexCuse/watermill-pulsar@f5e8591
redis
Package redis fork from github.com/ThreeDotsLabs/watermill-redisstream@v1.2.2
 Package redis fork from github.com/ThreeDotsLabs/watermill-redisstream@v1.2.2
rocketmq
Package rocketmq fork from github.com/yflau/watermill-rocketmq@ea447b0
 Package rocketmq fork from github.com/yflau/watermill-rocketmq@ea447b0
sql

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