github.com/wfusion/gofusion@v1.1.14/common/infra/watermill/README.md (about)

     1  # Watermill
     2  <img align="right" width="200" src="https://threedots.tech/watermill-io/watermill-logo.png">
     3  
     4  [![CI Status](https://github.com/ThreeDotsLabs/watermill/actions/workflows/master.yml/badge.svg)](https://github.com/ThreeDotsLabs/watermill/actions/workflows/master.yml)
     5  [![Go Reference](https://pkg.go.dev/badge/github.com/ThreeDotsLabs/watermill.svg)](https://pkg.go.dev/github.com/ThreeDotsLabs/watermill)
     6  [![Go Report Card](https://goreportcard.com/badge/github.com/ThreeDotsLabs/watermill)](https://goreportcard.com/report/github.com/ThreeDotsLabs/watermill)
     7  [![codecov](https://codecov.io/gh/ThreeDotsLabs/watermill/branch/master/graph/badge.svg)](https://codecov.io/gh/ThreeDotsLabs/watermill)
     8  
     9  Watermill is a Go library for working efficiently with message streams. It is intended
    10  for building event driven applications, enabling event sourcing, RPC over messages,
    11  sagas and basically whatever else comes to your mind. You can use conventional pub/sub
    12  implementations like Kafka or RabbitMQ, but also HTTP or MySQL binlog if that fits your use case.
    13  
    14  ## Goals
    15  
    16  * **Easy** to understand.
    17  * **Universal** - event-driven architecture, messaging, stream processing, CQRS - use it for whatever you need.
    18  * **Fast** (see [Benchmarks](#benchmarks)).
    19  * **Flexible** with middlewares, plugins and Pub/Sub configurations.
    20  * **Resilient** - using proven technologies and passing stress tests (see [Stability](#stability)).
    21  
    22  ## Getting Started
    23  
    24  Pick what you like the best or see in order:
    25  
    26  1. Follow the [Getting Started guide](https://watermill.io/docs/getting-started/).
    27  2. See examples below.
    28  3. Read the full documentation: https://watermill.io/
    29  
    30  ## Our online hands-on training
    31  
    32  <a href="https://threedots.tech/event-driven/?utm_source=watermill-readme"><img align="center" width="400" src="https://threedots.tech/event-driven-banner.png"></a>
    33  
    34  ## Examples
    35  
    36  * Basic
    37      * [Your first app](_examples/basic/1-your-first-app) - **start here!**
    38      * [Realtime feed](_examples/basic/2-realtime-feed)
    39      * [Router](_examples/basic/3-router)
    40      * [Metrics](_examples/basic/4-metrics)
    41      * [CQRS with protobuf](_examples/basic/5-cqrs-protobuf)
    42  * [Pub/Subs usage](_examples/pubsubs)
    43      * These examples are part of the [Getting started guide](https://watermill.io/docs/getting-started/) and show usage of a single Pub/Sub at a time.
    44  * Real-world examples
    45      * [Exactly-once delivery counter](_examples/real-world-examples/exactly-once-delivery-counter)
    46      * [Receiving webhooks](_examples/real-world-examples/receiving-webhooks)
    47      * [Sending webhooks](_examples/real-world-examples/sending-webhooks)
    48      * [Synchronizing Databases](_examples/real-world-examples/synchronizing-databases)
    49      * [Persistent Event Log](_examples/real-world-examples/persistent-event-log)
    50      * [Transactional Events](_examples/real-world-examples/transactional-events)
    51      * [Real-time HTTP updates with Server-Sent Events](_examples/real-world-examples/server-sent-events)
    52  * Complete projects
    53      * [NATS example with live code reloading](https://github.com/ThreeDotsLabs/nats-example)
    54      * [RabbitMQ, webhooks and Kafka integration](https://github.com/ThreeDotsLabs/event-driven-example)
    55  
    56  ## Background
    57  
    58  Building distributed and scalable services is rarely as easy as some may suggest. There is a
    59  lot of hidden knowledge that comes with writing such systems. Just like you don't need to know the
    60  whole TCP stack to create a HTTP REST server, you shouldn't need to study all of this knowledge to
    61  start with building message-driven applications.
    62  
    63  Watermill's goal is to make communication with messages as easy to use as HTTP routers. It provides
    64  the tools needed to begin working with event-driven architecture and allows you to learn the details
    65  on the go.
    66  
    67  At the heart of Watermill there is one simple interface:
    68  ```go
    69  func(*Message) ([]*Message, error)
    70  ```
    71  
    72  Your handler receives a message and decides whether to publish new message(s) or return
    73  an error. What happens next is up to the middlewares you've chosen.
    74  
    75  You can find more about our motivations in our [*Introducing Watermill* blog post](https://threedots.tech/post/introducing-watermill/).
    76  
    77  ## Pub/Subs
    78  
    79  All publishers and subscribers have to implement an interface:
    80  
    81  ```go
    82  type Publisher interface {
    83  	Publish(topic string, messages ...*Message) error
    84  	Close() error
    85  }
    86  
    87  type Subscriber interface {
    88  	Subscribe(ctx context.Context, topic string) (<-chan *Message, error)
    89  	Close() error
    90  }
    91  ```
    92  
    93  Supported Pub/Subs:
    94  
    95  - AMQP Pub/Sub [(`github.com/ThreeDotsLabs/watermill-amqp/v2`)](https://github.com/ThreeDotsLabs/watermill-amqp/)
    96  - Bolt Pub/Sub [(`github.com/ThreeDotsLabs/watermill-bolt`)](https://github.com/ThreeDotsLabs/watermill-bolt/)
    97  - Firestore Pub/Sub [(`github.com/ThreeDotsLabs/watermill-firestore`)](https://github.com/ThreeDotsLabs/watermill-firestore/)
    98  - Google Cloud Pub/Sub [(`github.com/ThreeDotsLabs/watermill-googlecloud`)](https://github.com/ThreeDotsLabs/watermill-googlecloud/)
    99  - HTTP Pub/Sub [(`github.com/ThreeDotsLabs/watermill-http`)](https://github.com/ThreeDotsLabs/watermill-http/)
   100  - io.Reader/io.Writer Pub/Sub [(`github.com/ThreeDotsLabs/watermill-io`)](https://github.com/ThreeDotsLabs/watermill-io/)
   101  - Kafka Pub/Sub [(`github.com/ThreeDotsLabs/watermill-kafka/v2`)](https://github.com/ThreeDotsLabs/watermill-kafka/)
   102  - NATS Pub/Sub [(`github.com/ThreeDotsLabs/watermill-nats`)](https://github.com/ThreeDotsLabs/watermill-nats/)
   103  - Redis Stream Pub/Sub [(`github.com/ThreeDotsLabs/watermill-redisstream`)](https://github.com/ThreeDotsLabs/watermill-redisstream/)
   104  - SQL Pub/Sub [(`github.com/ThreeDotsLabs/watermill-sql/v2`)](https://github.com/ThreeDotsLabs/watermill-sql/)
   105  
   106  
   107  All Pub/Subs implementation documentation can be found in the [documentation](https://watermill.io/pubsubs/).
   108  
   109  ## Unofficial libraries
   110  
   111  Can't find your favorite Pub/Sub or library integration? Check [Awesome Watermill](https://watermill.io/docs/awesome/).
   112  
   113  If you know another library or are an author of one, please [add it to the list](https://github.com/ThreeDotsLabs/watermill/edit/master/docs/content/docs/awesome.md).
   114  
   115  ## Contributing
   116  
   117  Please check our [contributing guide](CONTRIBUTING.md).
   118  
   119  ## Stability
   120  
   121  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.
   122  
   123  To ensure that all Pub/Subs are stable and safe to use in production, we created a [set of tests](https://github.com/ThreeDotsLabs/watermill/blob/master/pubsub/tests/test_pubsub.go#L34) that need to pass for each of the implementations before merging to master.
   124  All tests are also executed in [*stress*](https://github.com/ThreeDotsLabs/watermill/blob/master/pubsub/tests/test_pubsub.go#L171) mode - that means that we are running all the tests **20x** in parallel.
   125  
   126  All tests are run with the race condition detector enabled (`-race` flag in tests).
   127  
   128  For more information about debugging tests, you should check [tests troubleshooting guide](http://watermill.io/docs/troubleshooting/#debugging-pubsub-tests).
   129  
   130  ## Benchmarks
   131  
   132  Initial tools for benchmarking Pub/Subs can be found in [watermill-benchmark](https://github.com/ThreeDotsLabs/watermill-benchmark).
   133  
   134  All benchmarks are being done on a single 16 CPU VM instance, running one binary and dependencies in Docker Compose.
   135  
   136  These numbers are meant to serve as a rough estimate of how fast messages can be processed by different Pub/Subs.
   137  Keep in mind that the results can be vastly different, depending on the setup and configuration (both much lower and higher).
   138  
   139  Here's the short version for message size of 16 bytes.
   140  
   141  | Pub/Sub                         | Publish (messages / s) | Subscribe (messages / s) |
   142  |---------------------------------|------------------------|--------------------------|
   143  | GoChannel                       | 331,882                | 118,943                  |
   144  | Redis Streams                   | 61,642                 | 11,213                   |
   145  | NATS Jetstream (16 Subscribers) | 49,255                 | 33,009                   |
   146  | Kafka (one node)                | 44,090                 | 108,285                  |
   147  | SQL (MySQL)                     | 5,599                  | 167                      |
   148  | SQL (PostgreSQL, batch size=1)  | 3,834                  | 455                      |
   149  | Google Cloud Pub/Sub            | 3,689                  | 30,229                   |
   150  | AMQP                            | 2,702                  | 13,192                   |
   151  
   152  ## Support
   153  
   154  If you didn't find the answer to your question in [the documentation](https://watermill.io/), feel free to ask us directly!
   155  
   156  Please join us on the `#watermill` channel on the [Three Dots Labs Discord](https://discord.gg/QV6VFg4YQE).
   157  
   158  Every bit of feedback is very welcome and appreciated. Please submit it using [the survey](https://www.surveymonkey.com/r/WZXD392).
   159  
   160  ## Why the name?
   161  
   162  It processes streams!
   163  
   164  ## License
   165  
   166  [MIT License](./LICENSE)