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@choerodon/prod-repo

v1.1.3

Published

简体中文 | [English](./README.en_US.md)

Downloads

4

Readme

简体中文 | English

prod-repo-service

prod-repo-service prod-repo-service是Choerodon平台管理制品库的基础. 当前版本为: 0.23.0

prod-repo-service通过整合nexus、harbor,提供管理maven包、npm包、docker镜像等功能。

特性

prod-repo-service 含有以下功能:

  • 自定义nexus服务 :maven、npm制品库的创建可以使用默认的nexus服务,也可添加自己的nexus服务
  • 创建制品库 :创建/更新maven、npm、docker制品仓库
  • 镜像/包管理:查看仓库下发布的制品列表、发布制品指引
  • 用户权限:分配项目成员的权限
  • 权限管理:分配权限、更新权限、删除权限
  • 操作日志:记录了权限分配/镜像操作的操作日志

前置要求

  • JAVAprod-repo-service基于Java8进行开发
  • GitLabprod-repo-service使用GitLab进行代码的托管。同时,通过基于GitLab Runner实现持续集成以完成代码编译,单元测试执行,代码质量分析,docker镜像生成,helm chart打包,服务版本发布等自动化过程
  • Harbor:企业级Docker registry 服务,用于存放服务版本所对应的docker镜像
  • Kubernetes:容器编排管理工具,用于部署服务版本所对应的helm chart包
  • ChartMuseum:Helm Chart仓库,用于存放服务版本所对应的helm chart包
  • Sonarqube:管理代码质量的开放平台,用于管理服务的代码质量
  • MySQL:主流数据库之一,用于数据持久化
  • Redis:内存数据库,用于数据缓存和部分非持久化数据存储
  • NexusSonatype Nexus OSS是一个自由开源的仓库管理系统。
  • HarborHarbor是一个企业级DockerRegistry管理系统

服务依赖

  • choerodon-register: 注册中心,在线上环境代替本地的eureka-server
  • choerodon-platform:平台服务
  • choerodon-iam: 用户服务,与用户有关的操作依赖与此服务
  • choerodon-gateway: 网关服务
  • choerodon-oauth: 授权服务
  • choerodon-asgard : 事务一致性服务
  • choerodon-file : 文件服务

服务配置

  • bootstrap.yml:

      server:
        port: 7144
      management:
        server: 
      	port: 7145
        endpoints:
      	web:
      	  exposure:
      		include: '*'
    
      spring:
        profiles:
      	active: default
        cloud:
      	config:
      	  fail-fast: false
      	  # 是否启用配置中心
      	  enabled: ${SPRING_CLOUD_CONFIG_ENABLED:false}
      	  # 配置中心地址
      	  uri: ${SPRING_CLOUD_CONFIG_URI:http://dev.hzero.org:8010}
      	  retry:
      		# 最大重试次数
      		maxAttempts: 6
      		multiplier: 1.1
      		# 重试间隔时间
      		maxInterval: 2000
      	  # 标签
      	  label: ${SPRING_CLOUD_CONFIG_LABEL:}
    
      eureka:
        instance:
      	# 以IP注册到注册中心
      	preferIpAddress: ${EUREKA_INSTANCE_PREFER_IP_ADDRESS:true}
      	leaseRenewalIntervalInSeconds: 10
      	leaseExpirationDurationInSeconds: 30
      	# 服务的一些元数据信息
      	metadata-map:
      	  VERSION: 1.2.0.RELEASE
        client:
      	serviceUrl:
      	  # 注册中心地址
      	  defaultZone: ${EUREKA_DEFAULT_ZONE:http://hzero-register.staging.saas.hand-china.com/}
      	registryFetchIntervalSeconds: 10
      	disable-delta: true
  • application.yml:

      spring:
        application:
          name: prod-repo-service
        datasource:
          url: ${SPRING_DATASOURCE_URL:jdbc:mysql://db.hzero.org:3306/hrds_prod_repo?useUnicode=true&characterEncoding=utf-8&useSSL=false}
          username:  ${SPRING_DATASOURCE_USERNAME:root}
          password: ${SPRING_DATASOURCE_PASSWORD:handhand}
          hikari:
            # 连接池最小空闲连接数
            minimum-idle: ${SPRING_DATASOURCE_MINIMUM_IDLE:20}
            # 连接池允许的最大连接数
            maximum-pool-size: ${SPRING_DATASOURCE_MAXIMUM_POOL_SIZE:200}
            # 等待连接池分配连接的最大时长(毫秒)
            connection-timeout: ${SPRING_DATASOURCE_CONNECTION_TIMEOUT:30000}
        redis:
          host: redis.hzero.org
          port: 6379
          database: 1
          jedis:
            pool:
              # 资源池中最大连接数
              # 默认8,-1表示无限制;可根据服务并发redis情况及服务端的支持上限调整
              max-active: ${SPRING_REDIS_POOL_MAX_ACTIVE:50}
              # 资源池运行最大空闲的连接数
              # 默认8,-1表示无限制;可根据服务并发redis情况及服务端的支持上限调整,一般建议和max-active保持一致,避免资源伸缩带来的开销
              max-idle: ${SPRING_REDIS_POOL_MAX_IDLE:50}
              # 当资源池连接用尽后,调用者的最大等待时间(单位为毫秒)
              # 默认 -1 表示永不超时,设置5秒
              max-wait: ${SPRING_REDIS_POOL_MAX_WAIT:5000}
        resources:
          # 资源缓存时间,单位秒
          cache.period: 3600
          # 开启gzip压缩
          chain.gzipped: true
          # 启用缓存
          chain.cache: true
        
      server: 
        undertow:
          # 设置IO线程数, 它主要执行非阻塞的任务,它们会负责多个连接
          # 默认值为8,建议设置每个CPU核心一个线程
          io-threads: ${SERVER_UNDERTOW_IO_THREADS:4}
          # 阻塞任务线程池, 当执行类似servlet请求阻塞操作, undertow会从这个线程池中取得线程
          # 默认等于 io-threads*8,它的值设置取决于系统的负载,可适当调大该值
          worker-threads: ${SERVER_UNDERTOW_WORKER_THREADS:128}
          # 每块buffer的空间大小,越小空间被利用越充分
          # 不要设置太大,以免影响其他应用,合适即可
          buffer-size: ${SERVER_UNDERTOW_BUFFER_SIZE:1024}
          # 是否分配的直接内存(NIO直接分配的堆外内存)
          # 默认false
          direct-buffers: true
          # HTTP POST请求最大的大小
          # 默认0,无限制,可设置10M
          max-http-post-size: 10485760
          allow-unescaped-characters-in-url: true
        
      feign:
        hystrix:
          enabled: true
        
      hystrix:
        threadpool:
          default:
            # 执行命令线程池的核心线程数,也是命令执行的最大并发量
            # 默认10
            coreSize: 1000
            # 最大执行线程数
            maximumSize: 1000
        command:
          default:
            execution:
              isolation:
                thread:
                  # HystrixCommand 执行的超时时间,超时后进入降级处理逻辑。一个接口,理论的最佳响应速度应该在200ms以内,或者慢点的接口就几百毫秒。
                  # 默认 1000 毫秒,最高设置 2000足矣。如果超时,首先看能不能优化接口相关业务、SQL查询等,不要盲目加大超时时间,否则会导致线程堆积过多,hystrix 线程池卡死,最终服务不可用。
                  timeoutInMilliseconds: ${HYSTRIX_COMMAND_TIMEOUT_IN_MILLISECONDS:40000}
        
      ribbon:
        # 客户端读取超时时间,超时时间要小于Hystrix的超时时间,否则重试机制就无意义了
        ReadTimeout: ${RIBBON_READ_TIMEOUT:30000}
        # 客户端连接超时时间
        ConnectTimeout: ${RIBBON_CONNECT_TIMEOUT:3000}
        # 访问实例失败(超时),允许自动重试,设置重试次数,失败后会更换实例访问,请一定确保接口的幂等性,否则重试可能导致数据异常。
        OkToRetryOnAllOperations: true
        MaxAutoRetries: 1
        MaxAutoRetriesNextServer: 1
        
      mybatis:
        mapperLocations: classpath*:/mapper/*.xml
        configuration:
          mapUnderscoreToCamelCase: true
          key-generator: snowflake
          snowflake:
            start-timestamp: 1577808000000
            meta-provider: redis
            meta-provider-redis-db: 1
            meta-provider-redis-refresh-interval: 540000
            meta-provider-redis-expire: 600000
            data-center-id: 1
            worker-id: 1
    
        
        
      logging:
        level:
          org.apache.ibatis: ${LOGGING_LEVEL:debug}
          io.choerodon: ${LOGGING_LEVEL:debug}
          org.hzero: ${LOGGING_LEVEL:debug}
          org.hrds.rdupm: ${LOGGING_LEVEL:debug}
        
      hzero:
        scheduler:
          autoRegister: false
        lock:
          pattern: single
          single-server:
            address: ${SPRING_REDIS_HOST:localhost}
            port: ${SPRING_REDIS_PORT:6379}
        service:
          platform:
            name: cherodon-platform
          oauth:
            name: choerodon-oauth
          iam:
            name: choerodon-iam
          file:
            name: choerodon-file
          message:
            name: choerodon-message
          admin:
            name: choerodon-admin
          swagger:
            name: choerodon-swagger
          gateway:
            name: choerodon-gateway
          monitor:
            name: choerodon-monitor
      choerodon:
        category:
          enabled: true # 是否开启项目/组织类型控制
        devops:
          message: true
        eureka:
          event:
            max-cache-size: 300
            retry-time: 5
            retry-interval: 3
            skip-services: config**, **register-server, **gateway**, zipkin**, hystrix**, oauth**
        saga:
          service: choerodon-asgard
          consumer:
            enabled: true # 启动消费端
            thread-num: 2 # saga消息消费线程池大小
            max-poll-size: 200 # 每次拉取消息最大数量
            poll-interval-ms: 1000 # 拉取间隔,默认1000毫秒
        schedule:
          consumer:
            enabled: true # 启用任务调度消费端
            thread-num: 1 # 任务调度消费线程数
            poll-interval-ms: 1000 # 拉取间隔,默认1000毫秒
        cleanPermission: false
        
      harbor:
        baseUrl: ${HARBOR_BASE_URL:https://hzero.org}
        username: ${HARBOR_USER_NAME:xxx}
        password: ${HARBOR_PASSWORD:xxx}
        init:
          defaultRepoUrl: ${HARBOR_INIT_DEFAULT_REPO_URL:jdbc:mysql://db.hzero.org:3306/hzero_platform?useUnicode=true&characterEncoding=utf-8&useSSL=false}
          defaultRepoUsername: ${HARBOR_INIT_DEFAULT_REPO_USERNAME:xxx}
          defaultRepoPassword: ${HARBOR_INIT_DEFAULT_REPO_PASSWORD:xxx}
          customRepoUrl: ${HARBOR_INIT_CUSTOM_REPO_URL:jdbc:mysql://db.hzero.org:3306/devops_service?useUnicode=true&characterEncoding=utf-8&useSSL=false}
          customRepoUsername: ${HARBOR_INIT_CUSTOM_REPO_USERNAME:xxx}
          customRepoPassword: ${HARBOR_INIT_CUSTOM_REPO_PASSWORD:xxx}
      nexus:
        default:
          #系统默认nexus服务地址
          serverUrl: ${NEXUS_DEFAULT_BASE_URL:https://localhost}
          #系统默认nexus服务,超级管理员用户
          username: ${NEXUS_DEFAULT_USER_NAME:admin}
          #系统默认nexus服务,超级管理员用户密码
          password: ${NEXUS_DEFAULT_PASSWORD:admin}
          #系统默认nexus服务,是否启用仓库级的匿名访问控制。 1:启用  0:不启用。
          enableAnonymousFlag: ${NEXUS_DEFAULT_ENABLE_ANONYMOUS_FLAG:0}
          #系统默认nexus服务,启用仓库级的匿名访问控制时需要配置该值(即enableAnonymousFlag==1时)。 nexus服务开启全局匿名访问时,配置的用户
          anonymousUser: ${NEXUS_DEFAULT_ANONYMOUS_USER:test}
          #系统默认nexus服务,启用仓库级的匿名访问控制时需要配置该值(即enableAnonymousFlag==1时)。 nexus服务开启全局匿名访问时,配置的用户对应的角色
          anonymousRole: ${NEXUS_DEFAULT_ANONYMOUS_ROLE:test}
      DesEncrypt:
        # 制品库密码, 加解密密钥
        desKey: ${DES_ENCRYPT_DES_KEY:xxx}
        # 长度:8位
        desIV: ${DES_ENCRYPT_DES_IV:xxxxxxxx}
    
      
    

安装和启动步骤

  1. 创建数据库hrds_prod_repo,创建用户choerodon,并为用户分配权限:

    CREATE USER 'choerodon'@'%' IDENTIFIED BY "choerodon";
    CREATE DATABASE hrds_prod_repo DEFAULT CHARACTER SET utf8;
    GRANT ALL PRIVILEGES ON hrds_prod_repo.* TO choerodon@'%';
    FLUSH PRIVILEGES;
  2. 拉取prod-repo-service代码到本地:

    git clone https://github.com/choerodon/prod-repo-service.git
  3. 在项目根目录执行命令: sh init-database.sh

  4. 使用下列命令运行或直接在集成环境中运行 RdudmApplication

    mvn clean spring-boot:run

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