Dapr HelloWorld
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Dapr
分布式应用运行时、事件驱动、为云和边缘构建微服务提供便携化运行时。
我现在也不是很懂。
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dapr/dapr
比上面的介绍多了 stateless or stateful 的标签。学《计算理论》的时候接触过一些状态机。
注意提到了多语言和多开发者框架,我认为这是他选择的通过通信共享信息,即 HTTP
和 GRPC
支持多语言等特性。微软想通过这个设定一个构建微服务应用的规则。从根本上确立你开发的每一个应用的独立性。
下面进行一个 QuickStart
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环境
- Install Docker(微服务已经离不开容器化了)
- Install Dapr
- Node.js version 8 or greater(这个 Helloworld 是 node 应用)
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On MacOS
Install the latest darwin Dapr CLI to /usr/local/bin
curl -fsSL https://raw.githubusercontent.com/dapr/cli/master/install/install.sh | /bin/bash
有条件可以加速
执行初始化(会启动 docker 容器)
$ dapr init
⌛ Making the jump to hyperspace...
Downloading binaries and setting up components
✅ Success! Dapr is up and running
$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
b3a5600e672f redis "docker-entrypoint.s…" 44 hours ago Up 44 hours 0.0.0.0:6379->6379/tcp xenodochial_hofstadter
e5010ba0c33f daprio/dapr "./placement" 44 hours ago Up 44 hours 0.0.0.0:50005->50005/tcp dapr_placement
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HelloWorld
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Application Architecture
<br />能够看到暴露两个 endpoint
是 HTTP
访问,一个创建一个查询。
主要看我们使用 Dapr
的交互。在图中它作为 Runtime
- 提供 Dapr API 给多语言调用。
- 提供 状态管理 By state stores
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Download Code
下载并进入相应文件夹
git clone https://github.com/dapr/samples.git
cd samples/1.hello-world
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Cat app.js
// $ cat app.js
// ------------------------------------------------------------
// Copyright (c) Microsoft Corporation.
// Licensed under the MIT License.
// ------------------------------------------------------------
const express = require('express');
const bodyParser = require('body-parser');
require('isomorphic-fetch');
const app = express();
app.use(bodyParser.json());
const daprPort = process.env.DAPR_HTTP_PORT || 3500;
const stateUrl = `http://localhost:${daprPort}/v1.0/state`;
const port = 3000;
app.get('/order', (_req, res) => {
fetch(`${stateUrl}/order`)
.then((response) => {
return response.json();
}).then((orders) => {
res.send(orders);
});
});
app.post('/neworder', (req, res) => {
const data = req.body.data;
const orderId = data.orderId;
console.log("Got a new order! Order ID: " + orderId);
const state = [{
key: "order",
value: data
}];
fetch(stateUrl, {
method: "POST",
body: JSON.stringify(state),
headers: {
"Content-Type": "application/json"
}
}).then((response) => {
console.log((response.ok) ? "Successfully persisted state" : "Failed to persist state");
});
res.status(200).send();
});
app.listen(port, () => console.log(`Node App listening on port ${port}!`));
这是一些路由和 handlers
注意 14-16 行
const daprPort = process.env.DAPR_HTTP_PORT || 3500;
const stateUrl = `http://localhost:${daprPort}/v1.0/state`;
const port = 3000;
3500 是 Dapr
的环境端口,如果你安装时有改动,需要考虑。<br />stateurl
就是 Dapr
提供的 URL 了
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Handlers
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/neworder
app.post('/neworder', (req, res) => {
const data = req.body.data;
const orderId = data.orderId;
console.log("Got a new order! Order ID: " + orderId);
const state = [{
key: "order",
value: data
}];
fetch(stateUrl, {
method: "POST",
body: JSON.stringify(state),
headers: {
"Content-Type": "application/json"
}
}).then((response) => {
console.log((response.ok) ? "Successfully persisted state" : "Failed to persist state");
});
res.status(200).send();
});
这里重点是状态存储,即将 state
通过 stateurl
存储在 Dapr
中。
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/order
我们并不是直接通过 res.json
作为 Response
来进行已经持久化的数据的使用,而是通过暴露一个 GET endpoint 通过访问它来验证持久化是否成功。
app.get('/order', (_req, res) => {
fetch(`${stateUrl}/order`)
.then((response) => {
return response.json();
}).then((orders) => {
res.send(orders);
});
});
现在我们通过状态转移在 Dapr
里实现了 stateless
,同样我们也可以在加上一个 local cache
并通过一个新的 endpoint 访问来使 Node
application 变成 stateful
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Dapr Run Node.js App
npm install
:通过当前目录下的package.json
, 会安装express
和body-parser
,在 app.js 7-8行我们可以看到这两项。dapr run --app-id mynode --app-port 3000 --port 3500 node app.js
$ dapr run --app-id mynode --app-port 3000 --port 3500 node app.js
ℹ️ Starting Dapr with id mynode. HTTP Port: 3500. gRPC Port: 55099
✅ You're up and running! Both Dapr and your app logs will appear here.
应该是有后台运行的 CLI
命令,这里是前台打印的日志
== DAPR == time="2019-11-06T10:37:41+08:00" level=info msg="starting Dapr Runtime -- version 0.1.0 -- commit 4358565-dirty"
== DAPR == time="2019-11-06T10:37:41+08:00" level=info msg="log level set to: info"
== DAPR == time="2019-11-06T10:37:41+08:00" level=info msg="standalone mode configured"
== DAPR == time="2019-11-06T10:37:41+08:00" level=info msg="dapr id: mynode"
== DAPR == time="2019-11-06T10:37:41+08:00" level=info msg="loaded component messagebus (pubsub.redis)"
== DAPR == time="2019-11-06T10:37:41+08:00" level=info msg="loaded component statestore (state.redis)"
== DAPR == time="2019-11-06T10:37:41+08:00" level=info msg="application protocol: http. waiting on port 3000"
== APP == Node App listening on port 3000!
== DAPR == time="2019-11-06T10:37:42+08:00" level=info msg="application discovered on port 3000"
== DAPR == 2019/11/06 10:37:42 redis: connecting to localhost:6379
== DAPR == 2019/11/06 10:37:42 redis: connected to localhost:6379 (localAddr: [::1]:55130, remAddr: [::1]:6379)
== DAPR == time="2019-11-06T10:37:42+08:00" level=info msg="actor runtime started. actor idle timeout: 1h0m0s. actor scan interval: 30s"
== DAPR == time="2019-11-06T10:37:42+08:00" level=info msg="actors: starting connection attempt to placement service at localhost:50005"
== DAPR == time="2019-11-06T10:37:42+08:00" level=info msg="http server is running on port 3500"
== DAPR == time="2019-11-06T10:37:42+08:00" level=info msg="gRPC server is running on port 55099"
== DAPR == time="2019-11-06T10:37:42+08:00" level=info msg="local service entry announced"
== DAPR == time="2019-11-06T10:37:42+08:00" level=info msg="dapr initialized. Status: Running. Init Elapsed 945.8297490000001ms"
== DAPR == time="2019-11-06T10:37:42+08:00" level=info msg="actors: established connection to placement service at localhost:50005"
== DAPR == time="2019-11-06T10:37:42+08:00" level=info msg="actors: placement order received: lock"
== DAPR == time="2019-11-06T10:37:42+08:00" level=info msg="actors: placement order received: update"
== DAPR == time="2019-11-06T10:37:42+08:00" level=info msg="actors: placement tables updated"
== DAPR == time="2019-11-06T10:37:42+08:00" level=info msg="actors: placement order received: unlock"
⚠️:注意到 Node App
在指定的 3000
端口运行,同时还有状态存储的 redis
在 6379
端口运行
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Post and Get
接下来注意,文中的端口是 app.js
里默认的 3500
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Post
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Curl
curl -XPOST -d @sample.json http://localhost:3500/v1.0/invoke/mynode/method/neworder
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Vscode
如果你用 vscode ,使用这个插件 Rest Client Plugin<br />然后打开目录下的 sample.http
, 可以看到 send request 的选项<br />sample.http
POST http://localhost:3500/v1.0/invoke/mynode/method/neworder
{
"data": {
"orderId": "42"
}
}
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Postman
如图: http://localhost:3500/v1.0/invoke/mynode/method/neworder
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Result Update
你可以在你启动的终端中看到新的日志
== APP == Got a new order! Order ID: 42
== APP == Successfully persisted state
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Get
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Curl
curl http://localhost:3500/v1.0/invoke/mynode/method/order
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Vscode
GET http://localhost:3500/v1.0/invoke/mynode/method/order
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Postman
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Terminate
ctrl + c
或者 dapr stop --app-id mynode
^C
ℹ️ terminated signal received: shutting down
✅ Exited Dapr successfully
✅ Exited App successfully
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Feature
- 具有可插入提供程序和至少一次语义的事件驱动的Pub-Sub系统
- 使用可插入提供程序的输入和输出绑定
- 具有可插拔数据存储的状态管理
- 一致的服务到服务发现和调用
- 选择加入状态模型:强大/最终一致性,首次写入/最后写入获胜
- 跨平台虚拟演员
- 限速
- 使用OpenTelemetry的内置分布式跟踪
- 使用专用的Operator和CRD在Kubernetes上本地运行
- 通过HTTP和gRPC支持所有编程语言
- 来自Azure,AWS,GCP的多云,开放式组件(绑定,发布-订阅,状态)
- 作为过程或容器化在任何地方运行
- 轻量级(58MB二进制,4MB物理内存)
- 作为辅助工具运行-无需特殊的SDK或库
- 专用的CLI-易于调试的开发人员友好体验
- Java,Dotnet,Go,Javascript和Python的客户端
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