简体中文(ZH-CN) English(EN) 繁体中文(ZH-TW) 日本語(JA) 한국어(KO) Melayu(MS) Français(FR) Deutsch(DE)
首页 > 后端开发 > Python教程 > 正文

使用 Google Cloud Functions 与 Google Composer 进行三层数据处理并通过 GitHub Actions 进行自动部署

Mary-Kate Olsen
发布： 2024-10-26 05:42:30
原创
773 人浏览过

目录

  1. 关于
  2. 使用的工具
  3. 解决方案架构图
  4. 部署流程
    • 先决条件
    • GitHub Actions 的秘密
    • 创建新秘密：
    • 设置 DevOps 服务帐户
  5. GitHub Actions 管道：步骤
    • 启用服务
    • 部署存储桶
    • 部署云函数
    • 部署作曲家服务帐户
    • 部署-bigquery-dataset-bigquery-tables
    • 部署作曲家环境
    • 部署-composer-http-连接
    • 部署标记
  6. GitHub Actions 工作流程说明
  7. 部署后创建的资源
  8. 结论
  9. 参考文献

关于

本文探讨了如何使用 Google Cloud Functions 在三层架构中处理数据。该解决方案通过 Google Composer 进行编排，并使用 GitHub Actions 实现自动部署。我们将逐步介绍所使用的工具、部署过程和管道步骤，为构建基于云的端到端数据管道提供清晰的指南。

使用的工具

  1. Google Cloud Platform (GCP)： 主要云环境。
  2. 云存储：用于跨不同层（铜牌、银牌、金牌）存储输入和处理的数据。
  3. 云函数： 负责每一层数据处理的无服务器函数。
  4. Google Composer：基于 Apache Airflow 的编排工具，用于安排和管理工作流程。
  5. GitHub Actions： 用于部署和管理管道基础设施的自动化工具。

解决方案架构图

Using Google Cloud Functions for Three-Tier Data Processing with Google Composer and Automated Deployments via GitHub Actions

部署流程

先决条件

在设置项目之前，请确保您具备以下条件：

  1. GCP 帐户：已启用结算功能的 Google Cloud 帐户。
  2. DevOps 服务帐户：具有在 GCP 中部署资源所需权限的服务帐户。
  3. GitHub 中的机密：将 GCP 服务帐户凭据、项目 ID 和存储桶名称作为机密存储在 GitHub 中，以便安全访问。

GitHub Actions 的秘密

要安全地访问您的 GCP 项目和资源，请在 GitHub Actions 中设置以下机密：

  • BUCKET_DATALAKE：用于数据湖的 Cloud Storage 存储桶。
  • GCP_DEVOPS_SA_KEY：JSON 格式的服务帐户密钥。
  • PROJECT_ID：您的 GCP 项目 ID。
  • REGION_PROJECT_ID：部署您的 GCP 项目的区域。

要创建新的秘密： 

1. In project repository, menu **Settings** 
2. **Security**, 
3. **Secrets and variables**,click in access **Action**
4. **New repository secret**, type a **name** and **value** for secret.
登录后复制

Using Google Cloud Functions for Three-Tier Data Processing with Google Composer and Automated Deployments via GitHub Actions

更多详情，请访问：
https://docs.github.com/pt/actions/security-for-github-actions/security-guides/using-secrets-in-github-actions

设置 DevOps 服务帐户

在 GCP 中创建一个具有 Cloud Functions、Composer、BigQuery 和 Cloud Storage 权限的服务帐号。授予必要的角色，例如：

  • 云函数管理员
  • 作曲家用户
  • BigQuery 数据编辑器
  • 存储对象管理

GitHub Actions 管道：步骤

管道自动化了整个部署过程，确保所有组件都正确设置。以下是 GitHub Actions 文件中关键作业的细分，每个作业负责部署的不同方面。

启用服务 

enable-services:
    runs-on: ubuntu-22.04
    steps:
    - uses: actions/checkout@v2

    # Step to Authenticate with GCP
    - name: Authorize GCP
      uses: 'google-github-actions/auth@v2'
      with:
        credentials_json:  ${{ secrets.GCP_DEVOPS_SA_KEY }}

    # Step to Configure  Cloud SDK
    - name: Set up Cloud SDK
      uses: google-github-actions/setup-gcloud@v2
      with:
        version: '>= 363.0.0'
        project_id: ${{ secrets.PROJECT_ID }}

    # Step to Configure Docker to use the gcloud command-line tool as a credential helper
    - name: Configure Docker
      run: |-
        gcloud auth configure-docker

    - name: Set up python 3.8
      uses: actions/setup-python@v2
      with:
        python-version: 3.8.16

    # Step to Create GCP Bucket 
    - name: Enable gcp service api's
      run: |-
        gcloud services enable ${{ env.GCP_SERVICE_API_0 }}
        gcloud services enable ${{ env.GCP_SERVICE_API_1 }}
        gcloud services enable ${{ env.GCP_SERVICE_API_2 }}
        gcloud services enable ${{ env.GCP_SERVICE_API_3 }}
        gcloud services enable ${{ env.GCP_SERVICE_API_4 }}
登录后复制

部署桶 

deploy-buckets:
    needs: [enable-services]
    runs-on: ubuntu-22.04
    timeout-minutes: 10

    steps:
    - name: Checkout
      uses: actions/checkout@v4

    - name: Authorize GCP
      uses: 'google-github-actions/auth@v2'
      with:
        credentials_json:  ${{ secrets.GCP_DEVOPS_SA_KEY }}

    # Step to Authenticate with GCP
    - name: Set up Cloud SDK
      uses: google-github-actions/setup-gcloud@v2
      with:
        version: '>= 363.0.0'
        project_id: ${{ secrets.PROJECT_ID }}

    # Step to Configure Docker to use the gcloud command-line tool as a credential helper
    - name: Configure Docker
      run: |-
        gcloud auth configure-docker

    # Step to Create GCP Bucket 
    - name: Create Google Cloud Storage - datalake
      run: |-
        if ! gsutil ls -p ${{ secrets.PROJECT_ID }} gs://${{ secrets.BUCKET_DATALAKE }} &> /dev/null; \
          then \
            gcloud storage buckets create gs://${{ secrets.BUCKET_DATALAKE }} --default-storage-class=nearline --location=${{ env.REGION }}
          else
            echo "Cloud Storage : gs://${{ secrets.BUCKET_DATALAKE }}  already exists" ! 
          fi


    # Step to Upload the file to GCP Bucket - transient files
    - name: Upload transient files to Google Cloud Storage
      run: |-
        TARGET=${{ env.INPUT_FOLDER }}
        BUCKET_PATH=${{ secrets.BUCKET_DATALAKE }}/${{ env.INPUT_FOLDER }}    
        gsutil cp -r $TARGET gs://${BUCKET_PATH}
登录后复制

部署云功能 

deploy-cloud-function:
    needs: [enable-services, deploy-buckets]
    runs-on: ubuntu-22.04
    steps:
    - uses: actions/checkout@v2

    # Step to Authenticate with GCP
    - name: Authorize GCP
      uses: 'google-github-actions/auth@v2'
      with:
        credentials_json:  ${{ secrets.GCP_DEVOPS_SA_KEY }}

    # Step to Configure  Cloud SDK
    - name: Set up Cloud SDK
      uses: google-github-actions/setup-gcloud@v2
      with:
        version: '>= 363.0.0'
        project_id: ${{ secrets.PROJECT_ID }}

    # Step to Configure Docker to use the gcloud command-line tool as a credential helper
    - name: Configure Docker
      run: |-
        gcloud auth configure-docker

    - name: Set up python 3.10
      uses: actions/setup-python@v2
      with:
        python-version: 3.10.12
    #cloud_function_scripts/csv_to_parquet
    - name: Create cloud function - ${{ env.CLOUD_FUNCTION_1_NAME }}
      run: |-
        cd ${{ env.FUNCTION_SCRIPTS }}/${{ env.CLOUD_FUNCTION_1_NAME }}
        gcloud functions deploy ${{ env.CLOUD_FUNCTION_1_NAME }} \
        --gen2 \
        --cpu=${{ env.FUNCTION_CPU  }} \
        --memory=${{ env.FUNCTION_MEMORY  }} \
        --runtime ${{ env.PYTHON_FUNCTION_RUNTIME }} \
        --trigger-http \
        --region ${{ env.REGION }} \
        --entry-point ${{ env.CLOUD_FUNCTION_1_NAME }}

    - name: Create cloud function - ${{ env.CLOUD_FUNCTION_2_NAME }}
      run: |-
        cd ${{ env.FUNCTION_SCRIPTS }}/${{ env.CLOUD_FUNCTION_2_NAME }}
        gcloud functions deploy ${{ env.CLOUD_FUNCTION_2_NAME }} \
        --gen2 \
        --cpu=${{ env.FUNCTION_CPU  }} \
        --memory=${{ env.FUNCTION_MEMORY  }} \
        --runtime ${{ env.PYTHON_FUNCTION_RUNTIME }} \
        --trigger-http \
        --region ${{ env.REGION }} \
        --entry-point ${{ env.CLOUD_FUNCTION_2_NAME }}

    - name: Create cloud function - ${{ env.CLOUD_FUNCTION_3_NAME }}
      run: |-
        cd ${{ env.FUNCTION_SCRIPTS }}/${{ env.CLOUD_FUNCTION_3_NAME }}
        gcloud functions deploy ${{ env.CLOUD_FUNCTION_3_NAME }} \
        --gen2 \
        --cpu=${{ env.FUNCTION_CPU  }} \
        --memory=${{ env.FUNCTION_MEMORY  }} \
        --runtime ${{ env.PYTHON_FUNCTION_RUNTIME }} \
        --trigger-http \
        --region ${{ env.REGION }} \
        --entry-point ${{ env.CLOUD_FUNCTION_3_NAME }}
登录后复制

部署作曲家服务帐户 

deploy-composer-service-account:
    needs: [enable-services, deploy-buckets, deploy-cloud-function ]
    runs-on: ubuntu-22.04
    timeout-minutes: 10

    steps:
    - name: Checkout
      uses: actions/checkout@v4

    - name: Authorize GCP
      uses: 'google-github-actions/auth@v2'
      with:
        credentials_json:  ${{ secrets.GCP_DEVOPS_SA_KEY }}

    # Step to Authenticate with GCP
    - name: Set up Cloud SDK
      uses: google-github-actions/setup-gcloud@v2
      with:
        version: '>= 363.0.0'
        project_id: ${{ secrets.PROJECT_ID }}

    # Step to Configure Docker to use the gcloud command-line tool as a credential helper
    - name: Configure Docker
      run: |-
        gcloud auth configure-docker


    - name: Create service account
      run: |-

        if ! gcloud iam service-accounts list | grep -i ${{ env.SERVICE_ACCOUNT_NAME}} &> /dev/null; \
          then \
            gcloud iam service-accounts create ${{ env.SERVICE_ACCOUNT_NAME }} \
            --display-name=${{ env.SERVICE_ACCOUNT_DESCRIPTION }}
          fi
    - name: Add permissions to service account
      run: |-
        gcloud projects add-iam-policy-binding ${{secrets.PROJECT_ID}} \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
          --role="roles/composer.user"

        gcloud projects add-iam-policy-binding ${{secrets.PROJECT_ID}} \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
          --role="roles/storage.objectAdmin"

        gcloud projects add-iam-policy-binding ${{secrets.PROJECT_ID}} \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
          --role="roles/cloudfunctions.invoker"

        # Permissão para criar e gerenciar ambientes Composer
        gcloud projects add-iam-policy-binding ${{secrets.PROJECT_ID}} \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
          --role="roles/composer.admin"

        gcloud projects add-iam-policy-binding ${{secrets.PROJECT_ID}} \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
          --role="roles/composer.worker"

        # Permissão para criar e configurar instâncias e recursos na VPC
        gcloud projects add-iam-policy-binding ${{secrets.PROJECT_ID}} \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
          --role="roles/compute.networkAdmin"

        # Permissão para interagir com o Cloud Storage, necessário para buckets e logs
        gcloud projects add-iam-policy-binding ${{secrets.PROJECT_ID}} \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
          --role="roles/storage.admin"

        # Permissão para criar e gerenciar recursos no projeto, como buckets e instâncias
        gcloud projects add-iam-policy-binding ${{secrets.PROJECT_ID}} \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
          --role="roles/editor"

        # Permissão para acessar e usar recursos necessários para o IAM
        gcloud projects add-iam-policy-binding ${{secrets.PROJECT_ID}} \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
          --role="roles/iam.serviceAccountUser"

        gcloud functions add-iam-policy-binding ${{env.CLOUD_FUNCTION_1_NAME}} \
          --region="${{env.REGION}}" \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
          --role="roles/cloudfunctions.invoker"

        gcloud functions add-invoker-policy-binding ${{env.CLOUD_FUNCTION_1_NAME}} \
          --region="${{env.REGION}}" \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" 

        gcloud functions add-iam-policy-binding ${{env.CLOUD_FUNCTION_2_NAME}} \
          --region="${{env.REGION}}" \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
          --role="roles/cloudfunctions.invoker"

        gcloud functions add-invoker-policy-binding ${{env.CLOUD_FUNCTION_2_NAME}} \
          --region="${{env.REGION}}" \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com"     

        gcloud functions add-iam-policy-binding ${{env.CLOUD_FUNCTION_3_NAME}} \
          --region="${{env.REGION}}" \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
          --role="roles/cloudfunctions.invoker"

        gcloud functions add-invoker-policy-binding ${{env.CLOUD_FUNCTION_3_NAME}} \
          --region="${{env.REGION}}" \
          --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com"   

        SERVICE_NAME_1=$(gcloud functions describe ${{ env.CLOUD_FUNCTION_1_NAME }} --region=${{ env.REGION }} --format="value(serviceConfig.service)")
        gcloud run services add-iam-policy-binding $SERVICE_NAME_1 \
        --region="${{env.REGION}}" \
        --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
        --role="roles/run.invoker"

        SERVICE_NAME_2=$(gcloud functions describe ${{ env.CLOUD_FUNCTION_2_NAME }} --region=${{ env.REGION }} --format="value(serviceConfig.service)")
        gcloud run services add-iam-policy-binding $SERVICE_NAME_2 \
        --region="${{env.REGION}}" \
        --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
        --role="roles/run.invoker"

        SERVICE_NAME_3=$(gcloud functions describe ${{ env.CLOUD_FUNCTION_3_NAME }} --region=${{ env.REGION }} --format="value(serviceConfig.service)")
        gcloud run services add-iam-policy-binding $SERVICE_NAME_3 \
        --region="${{env.REGION}}" \
        --member="serviceAccount:${{env.SERVICE_ACCOUNT_NAME}}@${{secrets.PROJECT_ID}}.iam.gserviceaccount.com" \
        --role="roles/run.invoker"


        gcloud functions add-invoker-policy-binding ${{env.CLOUD_FUNCTION_1_NAME}} \
        --region="${{env.REGION}}" \
        --member="allUsers"

        gcloud functions add-invoker-policy-binding ${{env.CLOUD_FUNCTION_2_NAME}} \
        --region="${{env.REGION}}" \
        --member="allUsers"

        gcloud functions add-invoker-policy-binding ${{env.CLOUD_FUNCTION_3_NAME}} \
        --region="${{env.REGION}}" \
        --member="allUsers"
登录后复制

部署bigquery-数据集-bigquery-表 

deploy-bigquery-dataset-bigquery-tables:
    needs: [enable-services, deploy-buckets, deploy-cloud-function, deploy-composer-service-account ]
    runs-on: ubuntu-22.04
    timeout-minutes: 10

    steps:
    - name: Checkout
      uses: actions/checkout@v4

    - name: Authorize GCP
      uses: 'google-github-actions/auth@v2'
      with:
        credentials_json:  ${{ secrets.GCP_DEVOPS_SA_KEY }}

    # Step to Authenticate with GCP
    - name: Set up Cloud SDK
      uses: google-github-actions/setup-gcloud@v2
      with:
        version: '>= 363.0.0'
        project_id: ${{ secrets.PROJECT_ID }}

    # Step to Configure Docker to use the gcloud command-line tool as a credential helper
    - name: Configure Docker
      run: |-
        gcloud auth configure-docker


    - name: Create Big Query Dataset
      run: |-  
        if ! bq ls --project_id ${{ secrets.PROJECT_ID}} -a | grep -w ${{ env.BIGQUERY_DATASET}} &> /dev/null; \
          then 

            bq --location=${{ env.REGION }} mk \
          --default_table_expiration 0 \
          --dataset ${{ env.BIGQUERY_DATASET }}

          else
            echo "Big Query Dataset : ${{ env.BIGQUERY_DATASET }} already exists" ! 
          fi

    - name: Create Big Query table
      run: |-
        TABLE_NAME_CUSTOMER=${{ env.BIGQUERY_DATASET}}.${{ env.BIGQUERY_TABLE_CUSTOMER}}
        c=0
        for table in $(bq ls --max_results 1000 "${{ secrets.PROJECT_ID}}:${{ env.BIGQUERY_DATASET}}" | tail -n +3 | awk '{print }'); do

            # Determine the table type and file extension
            if bq show --format=prettyjson $BIGQUERY_TABLE_CUSTOMER | jq -r '.type' | grep -q -E "TABLE"; then
              echo "Dataset ${{ env.BIGQUERY_DATASET}} already has table named : $table " !
              if [ "$table" == "${{ env.BIGQUERY_TABLE_CUSTOMER}}" ]; then
                echo "Dataset ${{ env.BIGQUERY_DATASET}} already has table named : $table " !
                ((c=c+1))       
              fi                  
            else
                echo "Ignoring $table"            
                continue
            fi
        done
        echo " contador $c "
        if [ $c == 0 ]; then
          echo "Creating table named : $table for Dataset ${{ env.BIGQUERY_DATASET}} " !

          bq mk --table \
          $TABLE_NAME_CUSTOMER \
          ./big_query_schemas/customer_schema.json


        fi
登录后复制

部署 Composer 环境 

deploy-composer-environment:
    needs: [enable-services, deploy-buckets, deploy-cloud-function, deploy-composer-service-account, deploy-bigquery-dataset-bigquery-tables ]
    runs-on: ubuntu-22.04
    timeout-minutes: 40

    steps:
    - name: Checkout
      uses: actions/checkout@v4

    - name: Authorize GCP
      uses: 'google-github-actions/auth@v2'
      with:
        credentials_json:  ${{ secrets.GCP_DEVOPS_SA_KEY }}

    # Step to Authenticate with GCP
    - name: Set up Cloud SDK
      uses: google-github-actions/setup-gcloud@v2
      with:
        version: '>= 363.0.0'
        project_id: ${{ secrets.PROJECT_ID }}

    # Step to Configure Docker to use the gcloud command-line tool as a credential helper
    - name: Configure Docker
      run: |-
        gcloud auth configure-docker

    # Create composer environments
    - name: Create composer environments
      run: |-
        if ! gcloud composer environments list --project=${{ secrets.PROJECT_ID }} --locations=${{ env.REGION }} | grep -i ${{ env.COMPOSER_ENV_NAME }} &> /dev/null; then
            gcloud composer environments create ${{ env.COMPOSER_ENV_NAME }} \
                --project ${{ secrets.PROJECT_ID }} \
                --location ${{ env.REGION }} \
                --environment-size ${{ env.COMPOSER_ENV_SIZE }} \
                --image-version ${{ env.COMPOSER_IMAGE_VERSION }} \
                --service-account ${{ env.SERVICE_ACCOUNT_NAME }}@${{ secrets.PROJECT_ID }}.iam.gserviceaccount.com
        else
            echo "Composer environment ${{ env.COMPOSER_ENV_NAME }} already exists!"
        fi

    # Create composer environments
    - name: Create composer variable PROJECT_ID 
      run: |-
        gcloud composer environments run ${{ env.COMPOSER_ENV_NAME }} \
        --location ${{ env.REGION}} variables \
        -- set PROJECT_ID ${{ secrets.PROJECT_ID }}

    - name: Create composer variable REGION
      run: |-  
        gcloud composer environments run ${{ env.COMPOSER_ENV_NAME }} \
          --location ${{ env.REGION }} variables \
          -- set REGION ${{ env.REGION }}

    - name: Create composer variable CLOUD_FUNCTION_1_NAME
      run: |-
        gcloud composer environments run ${{ env.COMPOSER_ENV_NAME }}\
          --location ${{ env.REGION }} variables \
          -- set CLOUD_FUNCTION_1_NAME ${{ env.CLOUD_FUNCTION_1_NAME }}

    - name: Create composer variable CLOUD_FUNCTION_2_NAME
      run: |-
        gcloud composer environments run ${{ env.COMPOSER_ENV_NAME }} \
        --location ${{ env.REGION }} variables \
        -- set CLOUD_FUNCTION_2_NAME ${{ env.CLOUD_FUNCTION_2_NAME }}

    - name: Create composer variable CLOUD_FUNCTION_3_NAME
      run: |-
        gcloud composer environments run ${{ env.COMPOSER_ENV_NAME }} \
        --location ${{ env.REGION }} variables \
        -- set CLOUD_FUNCTION_3_NAME ${{ env.CLOUD_FUNCTION_3_NAME }}

    - name: Create composer variable BUCKET_DATALAKE
      run: |-
        gcloud composer environments run ${{ env.COMPOSER_ENV_NAME }} \
        --location ${{ env.REGION}} variables \
        -- set BUCKET_NAME ${{ secrets.BUCKET_DATALAKE }}

    - name: Create composer variable TRANSIENT_FILE_PATH
      run: |-
        gcloud composer environments run ${{ env.COMPOSER_ENV_NAME }} \
        --location ${{ env.REGION }} variables \
        -- set TRANSIENT_FILE_PATH ${{ env.TRANSIENT_FILE_PATH }}

    - name: Create composer variable BRONZE_PATH 
      run: |-
        gcloud composer environments run ${{ env.COMPOSER_ENV_NAME }} \
        --location ${{ env.REGION }} variables \
        -- set BRONZE_PATH ${{ env.BRONZE_PATH }}

    - name: Create composer variable SILVER_PATH
      run: |-
        gcloud composer environments run ${{ env.COMPOSER_ENV_NAME }} \
        --location ${{ env.REGION }} variables \
        -- set SILVER_PATH ${{ env.SILVER_PATH }}

    - name: Create composer variable REGION_PROJECT_ID
      run: |-
        gcloud composer environments run ${{ env.COMPOSER_ENV_NAME }} \
        --location ${{ env.REGION }} variables \
        -- set REGION_PROJECT_ID "${{ env.REGION }}-${{ secrets.PROJECT_ID }}"


    - name: Create composer variable BIGQUERY_DATASET
      run: |-
        gcloud composer environments run ${{ env.COMPOSER_ENV_NAME }} \
        --location ${{ env.REGION }} variables \
        -- set BIGQUERY_DATASET "${{ env.BIGQUERY_DATASET }}"

    - name: Create composer variable BIGQUERY_TABLE_CUSTOMER
      run: |-
        gcloud composer environments run ${{ env.COMPOSER_ENV_NAME }} \
        --location ${{ env.REGION }} variables \
        -- set BIGQUERY_TABLE_CUSTOMER "${{ env.BIGQUERY_TABLE_CUSTOMER }}"
登录后复制

部署-composer-http-连接 

deploy-composer-http-connection:
    needs: [enable-services, deploy-buckets, deploy-cloud-function, deploy-composer-service-account, deploy-bigquery-dataset-bigquery-tables, deploy-composer-environment ]
    runs-on: ubuntu-22.04

    steps:
    - name: Checkout
      uses: actions/checkout@v4

    - name: Authorize GCP
      uses: 'google-github-actions/auth@v2'
      with:
        credentials_json:  ${{ secrets.GCP_DEVOPS_SA_KEY }}

    # Step to Authenticate with GCP
    - name: Set up Cloud SDK
      uses: google-github-actions/setup-gcloud@v2
      with:
        version: '>= 363.0.0'
        project_id: ${{ secrets.PROJECT_ID }}

    # Step to Configure Docker to use the gcloud command-line tool as a credential helper
    - name: Configure Docker
      run: |-
        gcloud auth configure-docker

    - name: Create composer http connection HTTP_CONNECTION
      run: |-
        HOST="https://${{ env.REGION }}-${{ secrets.PROJECT_ID }}.cloudfunctions.net"
        gcloud composer environments run ${{ env.COMPOSER_ENV_NAME }} \
        --location ${{ env.REGION }} connections \
        -- add ${{ env.HTTP_CONNECTION }} \
        --conn-type ${{ env.CONNECTION_TYPE  }} \
        --conn-host $HOST
登录后复制

部署-dags 

deploy-dags:
    needs: [enable-services, deploy-buckets, deploy-cloud-function, deploy-composer-service-account, deploy-bigquery-dataset-bigquery-tables, deploy-composer-environment, deploy-composer-http-connection ]
    runs-on: ubuntu-22.04

    steps:
    - name: Checkout
      uses: actions/checkout@v4

    - name: Authorize GCP
      uses: 'google-github-actions/auth@v2'
      with:
        credentials_json:  ${{ secrets.GCP_DEVOPS_SA_KEY }}

    # Step to Authenticate with GCP
    - name: Set up Cloud SDK
      uses: google-github-actions/setup-gcloud@v2
      with:
        version: '>= 363.0.0'
        project_id: ${{ secrets.PROJECT_ID }}

    - name: Get Composer bucket name and Deploy DAG to Composer
      run: |-
        COMPOSER_BUCKET=$(gcloud composer environments describe ${{ env.COMPOSER_ENV_NAME }} \
        --location ${{ env.REGION }} \
        --format="value(config.dagGcsPrefix)")
        gsutil -m cp -r ./dags/* $COMPOSER_BUCKET/dags/
登录后复制

部署后创建的资源

部署过程完成后，将提供以下资源：

  1. 云存储桶：分为铜牌、银牌和金牌层。
  2. Cloud Functions：：负责跨三层处理数据。
  3. Composer 的服务帐户：：具有调用云函数的适当权限。
  4. BigQuery 数据集和表：为存储处理后的数据而创建的 DataFrame。
  5. Google Composer 环境：编排云函数并进行日常执行。
  6. Composer DAG：DAG 管理调用 Cloud Functions 和处理数据的工作流程。

结论

此解决方案演示了如何利用 Google Cloud Functions、Composer 和 BigQuery 创建强大的三层数据处理管道。使用 GitHub Actions 的自动化可确保平稳、可重复的部署过程，从而更轻松地大规模管理基于云的数据管道。

参考

  1. Google 云平台文档：https://cloud.google.com/docs
  2. GitHub Actions 文档：：https://docs.github.com/en/actions
  3. Google Composer 文档：：https://cloud.google.com/composer/docs
  4. 云函数文档：https://cloud.google.com/functions/docs
  5. GitHub 存储库：https://github.com/jader-lima/gcp-cloud-functions-to-bigquery

以上是使用 Google Cloud Functions 与 Google Composer 进行三层数据处理并通过 GitHub Actions 进行自动部署的详细内容。更多信息请关注PHP中文网其他相关文章！

来源：dev.to
上一篇：如何使用 Python 的 smtplib.sendmail() 向多个收件人发送电子邮件？ 下一篇：为什么在 pandas 索引中使用 OR 运算符会保留值为 -1 的行，而 AND 运算符会丢弃它们，这与直观的预期相矛盾？
本站声明
本文内容由网友自发贡献，版权归原作者所有，本站不承担相应法律责任。如您发现有涉嫌抄袭侵权的内容，请联系admin@php.cn
作者最新文章
最新问题
function_exists()无法判定自定义函数 function test()    {        return true;    }    if (function_exists('TEST')) {        ech...
来自于 2024-04-29 11:01:01
0
2
1679
google 浏览器 手机版显示的怎么实现 老师您好，google 浏览器怎么变成手机版样式的？
来自于 2024-04-23 00:22:19
0
10
1833
子窗口操作父窗口，输出没反应 前两句可执行，最后一句没法应
来自于 2024-04-19 15:37:47
0
1
1560
父窗口没有输出 document.onclick = function(){ window.opener.document.write('我是子窗口的输出');                  ...
来自于 2024-04-18 23:52:34
0
1
1466
关于CSS思维导图的课件在哪？ 课件
来自于 2024-04-16 10:10:18
0
0
1515
相关专题
更多>
热门推荐
热门教程
更多>
相关教程
热门推荐
最新课程
最新下载
更多>
网站特效
网站源码
网站素材
前端模板
关于我们 免责声明 Sitemap
PHP中文网：公益在线PHP培训，帮助PHP学习者快速成长！