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Merge pull request #723 from jinrongluo/grpc
[Issue #718] update Grpc Message Model name to SimpleMessage
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# EventMesh Workflow | ||
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## Business Problem | ||
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Imaging you are building a simple Order Management System for an E-Commerce Store. | ||
The system should be able to receive and provision new orders from a store website. The provisioning process | ||
should be able to process all orders, handle payments, as well as process shipments. | ||
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For high availability and high performance, you architect the system using event-driven architecture (EDA), and build microservice apps to handle | ||
store frontend, order management, payment processing, and shipment management. | ||
You deploy the whole system in a cloud environment. To handle high workloads, you leverage a messaging system to buffer the loads, | ||
and scale up multiple instances of microservices. The architecture could look similar to: | ||
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 | ||
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While each microservice is acting on its own event channels, EventMesh plays a crucial role of doing Event Orchestration. | ||
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We use [CNCF Serverless Workflow](https://serverlessworkflow.io/) to describe this Event Workflow Orchestration. | ||
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## About CNCF Serverless Workflow | ||
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CNCF Serverless Workflow defines a vendor-neutral, open-source, and fully community-driven ecosystem | ||
for defining and running DSL-based workflows that target the Serverless technology domain. | ||
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Serverless Workflow defines a Domain Specific Language (DSL) | ||
to describe stateful and stateless workflow-based orchestrations of serverless functions and microservices. | ||
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More about this can be found in its [official github site](https://github.com/serverlessworkflow/specification) | ||
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## EventMesh Workflow | ||
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We leverage Serverless Workflow DSL to describe the EventMesh workflow. Based on its spec, the workflow is consists of a series of | ||
workflow states used to describe the control-flow logic. | ||
At this time we only support event related workflow states. See the supported states in [Workflow DSL Design](#workflow-dsl-design-wip). | ||
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A `workflow state` can include applicable `actions`, or services/functions that should be invoked during workflow execution. | ||
These `actions` can reference reusable `function` definitions which define how these functions/services should be invoked. | ||
They can also reference events that trigger event-based service invocations, and events to wait for that denote completion of | ||
such event-based service invocation completion. | ||
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In EDA solution, we usually defined our event-driven microservice using AsyncAPI. | ||
Serverless workflow `function` definitions support defining invocation semantics using AsyncAPI. | ||
See [Using Funtions for AsyncAPI Service](https://github.com/serverlessworkflow/specification/blob/main/specification.md#using-functions-for-async-api-service-invocations) | ||
for more information. | ||
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### AsyncAPI | ||
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AsyncAPI is an open source initiative that seeks to improve the current state of Event-Driven Architectures (EDA). | ||
Our long-term goal is to make working with EDAs as easy as it is to work with REST APIs. | ||
That goes from documentation to code generation, discovery to event management. | ||
Most of the processes you apply to your REST APIs nowadays would be applicable to your event-driven/asynchronous APIs too. | ||
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See AsyncAPI detail in the [official site](https://www.asyncapi.com/docs/getting-started) | ||
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### Workflow Example | ||
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In this example, we build the event-driven workflow of the Order management system above. | ||
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First, we need to define AsyncAPI definitions for our microservice apps. | ||
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- Online Store App | ||
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```yaml | ||
asyncapi: 2.2.0 | ||
info: | ||
title: Online Store application | ||
version: '0.1.0' | ||
channels: | ||
store/order: | ||
subscribe: | ||
operationId: newStoreOrder | ||
message: | ||
$ref : '#/components/NewOrder' | ||
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``` | ||
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- Order Service | ||
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```yaml | ||
asyncapi: 2.2.0 | ||
info: | ||
title: Order Service | ||
version: '0.1.0' | ||
channels: | ||
order/inbound: | ||
publish: | ||
operationId: sendOrder | ||
message: | ||
$ref : '#/components/Order' | ||
order/outbound: | ||
subscribe: | ||
operationId: processedOrder | ||
message: | ||
$ref : '#/components/Order' | ||
``` | ||
- Payment Service | ||
```yaml | ||
asyncapi: 2.2.0 | ||
info: | ||
title: Payment Service | ||
version: '0.1.0' | ||
channels: | ||
payment/inbound: | ||
publish: | ||
operationId: sendPayment | ||
message: | ||
$ref : '#/components/OrderPayment' | ||
payment/outbound: | ||
subscribe: | ||
operationId: paymentReceipt | ||
message: | ||
$ref : '#/components/OrderPayment' | ||
``` | ||
- Shipment Service | ||
```yaml | ||
asyncapi: 2.2.0 | ||
info: | ||
title: Shipment Service | ||
version: '0.1.0' | ||
channels: | ||
shipment/inbound: | ||
publish: | ||
operationId: sendShipment | ||
message: | ||
$ref : '#/components/OrderShipment' | ||
``` | ||
Once that is defined, we define the order workflow that describes our Order Management business logic. | ||
```yaml | ||
id: storeorderworkflow | ||
version: '1.0' | ||
specVersion: '0.8' | ||
name: Store Order Management Workflow | ||
states: | ||
- name: Receive New Order Event | ||
type: event | ||
onEvents: | ||
- eventRefs: | ||
- NewOrderEvent | ||
actions: | ||
- eventRef: | ||
triggerEventRef: OrderServiceSendEvent | ||
resultEventRef: OrderServiceResultEvent | ||
- eventRef: | ||
triggerEventRef: PaymentServiceSendEvent | ||
resultEventRef: PaymentServiceResultEvent | ||
transition: Check Payment Status | ||
- name: Check Payment Status | ||
type: switch | ||
dataConditions: | ||
- name: Payment Successfull | ||
condition: "${ .payment.status == 'success' }" | ||
transition: Send Order Shipment | ||
- name: Payment Denied | ||
condition: "${ .payment.status == 'denied' }" | ||
end: true | ||
defaultCondition: | ||
end: true | ||
- name: Send Order Shipment | ||
type: operation | ||
actions: | ||
- eventRef: | ||
triggerEventRef: ShipmentServiceSendEvent | ||
end: true | ||
events: | ||
- name: NewOrderEvent | ||
source: file://onlineStoreApp.yaml#newStoreOrder | ||
type: asyncapi | ||
kind: consumed | ||
- name: OrderServiceSendEvent | ||
source: file://orderService.yaml#sendOrder | ||
type: asyncapi | ||
kind: produced | ||
- name: OrderServiceResultEvent | ||
source: file://orderService.yaml#processedOrder | ||
type: asyncapi | ||
kind: consumed | ||
- name: PaymentServiceSendEvent | ||
source: file://paymentService.yaml#sendPayment | ||
type: asyncapi | ||
kind: produced | ||
- name: PaymentServiceResultEvent | ||
source: file://paymentService.yaml#paymentReceipt | ||
type: asyncapi | ||
kind: consumed | ||
- name: ShipmentServiceSendEvent | ||
source: file://shipmentService.yaml#sendShipment | ||
type: asyncapi | ||
kind: produced | ||
``` | ||
The corresponding workflow diagram is the following: | ||
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## EventMesh Workflow Engine | ||
In the following architecture diagram, the EventMesh Catalog, EventMesh Workflow Engine and EventMesh Runtime are running in three different processors. | ||
 | ||
The steps running the workflow is the followings: | ||
1. Deploy the Publisher and Subscriber Apps in the environment. | ||
Describe the App APIs using AsyncAPI, generate the asyncAPI yaml. | ||
Register the Publisher and Subscriber Apps in EventMesh Catalog using AsyncAPI. | ||
2. Register the Serverless Workflow DSL in EventMesh Workflow Engine. | ||
3. EventMesh Workflow Engine query the EventMesh Catalog for Publisher and Subscribers required in Workflow DSL `function` | ||
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4. Event-driven Apps are publish events to EventMesh Runtime to trigger the Workflow. EventMesh Workflow Engine also publish and subscribe events for orchestrating the events. | ||
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### EventMesh Catalog Design | ||
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EventMesh Catalog store the Publisher, Subscriber and Channel metadata. consists of the following modules: | ||
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- AsyncAPI Parser | ||
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Using the SDK provided by AsyncAPI community (see [tool list](https://www.asyncapi.com/docs/community/tooling)), | ||
parse and validated the AsyncAPI yaml inputs, and generate the AsyncAPI definition. | ||
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- Publisher, Channel, Subscriber Modules | ||
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From the AsyncAPI definition store the Publisher, Subscriber and Channel information. | ||
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### EventMesh Workflow Engine Design | ||
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EventMesh Workflow Engine consists of the following modules: | ||
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- Workflow Parser | ||
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Using the SDK provided by Serverless Workflow community (see supported [SDKs](https://github.com/serverlessworkflow/specification#sdks)), | ||
parse and validated the workflow DSL inputs, and generate workflow definition. | ||
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- Workflow Module | ||
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It manages a workflow instance life cycle, from create, start, stop to destroy. | ||
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- State Module | ||
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It manages workflow state life cycle. We support the event-related states, and the supported state list below is Work-in-Progress. | ||
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| Workflow State | Description | | ||
| --- | --- | | ||
| Operation | Execute the AsyncAPI functions defined in the Actions | | ||
| Event | Check if the defined Event matched, if so execute the defined AsyncAPI functions | | ||
| Switch | Check the event is matched with the event-conditions, and execute teh defined AsyncAPI functions | | ||
| Parallel | Execute the defined AsyncAPI functions in parallel | | ||
| ForEach | Iterate the inputCollection and execute the defined AsyncAPI functions | | ||
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- Action Module | ||
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It managed the functions inside the action. | ||
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- Function Module | ||
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It manages the AsyncAPI functions by creating the publisher and/or subscriber in EventMesh Runtime, and manage the publisher/subscriber life cycle. | ||
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| AsyncAPI Operation | EventMesh Runtime | | ||
| --- | --- | | ||
| Publish | Publisher | | ||
| Subscribe | Subscriber | | ||
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- Event Module | ||
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It manages the CloudEvents data model, including event filter, correlation and transformation using the rules defined in the workflow DSL. | ||
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- Retry Module | ||
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It manages the retry logic of the event publishing into EventMesh Runtime. |
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