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入门指南: 使用 Docker 在自托管模式下运行 Dapr

如何使用 Docker 在自托管模式下部署和运行 Dapr

This article provides guidance on running Dapr with Docker on a Windows/Linux/macOS machine or VM.

先决条件

Initialize Dapr environment

To initialize the Dapr control-plane containers and create a default configuration file, run:

dapr init

Run both app and sidecar as a process

The dapr run CLI command can be used to launch a Dapr sidecar along with your application:

dapr run --app-id myapp --app-port 5000 -- dotnet run

This command will launch both the daprd sidecar binary and run dotnet run, launching your application.

Run app as a process and sidecar as a Docker container

Alternately, if you are running Dapr in a Docker container and your app as a process on the host machine, then you need to configure Docker to use the host network so that Dapr and the app can share a localhost network interface.

If you are running your Docker daemon on a Linux host, you can run the following to launch Dapr:

docker run --net="host" --mount type=bind,source="$(pwd)"/components,target=/components daprio/daprd:edge ./daprd -app-id <my-app-id> -app-port <my-app-port>

然后,你可以在主机上运行你的应用程序,他们应该通过localhost网络接口连接。

Run both app and Dapr in a single Docker container

仅用于开发目的

不建议在同一容器内运行 Dapr 运行时和应用程序。 但是,对于本地开发的场景,可以这样做。

为了做到这一点,你需要编写一个Docker文件,安装Dapr运行时、Dapr CLI和你的应用代码。 然后,您可以使用 Dapr CLI 调用Dapr 运行时和您的应用代码。

下面是实现这一目标的Docker文件的例子。

FROM python:3.7.1
# Install dapr CLI
RUN wget -q https://raw.githubusercontent.com/dapr/cli/master/install/install.sh -O - | /bin/bash

# Install daprd
ARG DAPR_BUILD_DIR
COPY $DAPR_BUILD_DIR /opt/dapr
ENV PATH="/opt/dapr/:${PATH}"

# Install your app
WORKDIR /app
COPY python .
RUN pip install requests
ENTRYPOINT ["dapr"]
CMD ["run", "--app-id", "nodeapp", "--app-port", "3000", "node", "app.js"]

请记住,如果Dapr需要与其他组件通信,即: Redis,这些也需要让它访问。 Redis,这些也需要让它访问。

在 Docker 网络运行

If you have multiple instances of Dapr running in Docker containers and want them to be able to communicate with each other i.e. for service invocation, then you’ll need to create a shared Docker network and make sure those Dapr containers are attached to it.

您可以使用以下方法创建一个简单的Docker网络:

docker network create my-dapr-network

当运行您的 Docker 容器时,您可以通过以下方式将其附加到网络:

docker run --net=my-dapr-network ...

每个容器将在该网络上获得一个唯一的IP,并能与该网络上的其他容器进行通信。

使用 Docker-Compose 运行

Docker Compose can be used to define multi-container application configurations. 如果您希望在没有Kubernetes的情况下,在本地使用Dapr sidecars运行多个应用程序,那么建议使用Docker Compose定义(docker-compose.yml)。

Docker Compose的语法和工具超出了本文的范围,但是,建议你参考官方Docker文档了解更多细节。

为了使用Dapr和Docker Compose运行您的应用程序,您需要在您的docker-compose.yml中定义sidecar模式。 例如:

version: '3'
services:
  nodeapp:
    build: ./node
    ports:
      - "50001:50001" # Dapr instances communicate over gRPC so we need to expose the gRPC port
    depends_on:
      - redis
      - placement
    networks:
      - hello-dapr
  nodeapp-dapr:
    image: "daprio/daprd:edge"
    command: [
      "./daprd",
     "-app-id", "nodeapp",
     "-app-port", "3000",
     "-placement-host-address", "placement:50006" # Dapr's placement service can be reach via the docker DNS entry
     ]
    volumes:
        - "./components/:/components" # Mount our components folder for the runtime to use
    depends_on:
      - nodeapp
    network_mode: "service:nodeapp" # Attach the nodeapp-dapr service to the nodeapp network namespace

  ... # Deploy other daprized services and components (i.e. Redis)

  placement:
    image: "daprio/dapr"
    command: ["./placement", "-port", "50006"]
    ports:
      - "50006:50006"
    networks:
      - hello-dapr Redis)

  placement:
    image: "daprio/dapr"
    command: ["./placement", "-port", "50006"]
    ports:
      - "50006:50006"
    networks:
      - hello-dapr

对于那些在Linux主机上运行Docker守护进程的用户,如果需要的话,还可以使用network_mode: host来利用主机联网。

要进一步了解如何使用 Docker Compose 运行 Dapr,请参见 Docker-Compose Sample

在 Kubernetes 运行

If your deployment target is Kubernetes please use Dapr’s first-class integration. Refer to the Dapr on Kubernetes docs.

Docker images

Dapr 为不同的组件提供了许多预构建的 Docker 镜像,您应该为所需的二进制、架构和 标签/版本 选择相关镜像。

图片

Docker Hub上,每个 Dapr 组件都有已发布的 Docker 镜像。

标签

Linux/amd64

  • latest:最新版本, 用于开发目的。
  • edge: 最新的edge构建(master)。
  • major.minor.patch: 发布版本。
  • major.patch-rc.iteration: 候选发布。

Linux/arm/v7

  • latest-arm:最新的ARM版本, 用于开发目的。
  • edge-arm: ARM的最新的edge构建(master)。
  • major.minor.patch-arm: ARM的发布版本。
  • major.patch-rc.iteration: ARM的候选发布。
Last modified January 1, 0001