text: module.exports = {
      title:"PiFlow大数据流水线管理系统",
      logOut: '退出',
      sidebar: {
          dashboard: "首页",
          flow: "流水线",
          group: "流水线组",
          processes: "流水线进程",
          template: "流程模板",
          data_source: "数据源",
          schedule: '流水线调度',
          stopHub: '自定义组件',
          sparkJar: "Spark Jar包",
          testData: "测试数据",
          code: "在线运行",
          example: "样例",
          admin: "高级",
          admin_schedule: '监控同步任务',
          stopsComponent: '组件显示',
          globalVariable: '全局变量'
      },
      page: {
          prev_text: "上一页",
          next_text: "下一页"
      },
      index: {
          cpu: "核",
          loading: "加载中..."
      },
      tip: {
          title: "PiFlow系统提示",
          existed: "用户名重复！",
          fault_content: "后台程序运行发生未知错误！",
          update_success_content: "更新成功！",
          update_fail_content: "更新失败！",
          save_success_content: "保存成功！",
          save_fail_content: "保存失败！",
          add_success_content: "添加成功！",
          add_fail_content: "添加失败！",
          run_success_content: "运行成功！",
          run_fail_content: "运行失败！",
          mount_success_content: "挂载成功！",
          mount_fail_content: "挂载失败！",
          stop_success_content: "停止成功！",
          stop_fail_content: "停止失败！",
          unmount_success_content: "卸载成功！",
          unmount_fail_content: "卸载失败！",
          get_success_content: "数据采集成功！",
          get_fail_content: "数据采集失败！",
          debug_success_content: "debug 运行成功！",
          debug_fail_content: "debug 运行失败！",
          delete_success_content: "删除成功！",
          delete_fail_content: "删除失败！",
          request_fail_content: "数据请求失败！",
          reference_content: "被引用，不允许删除！",
  
          upload_success_content: "模板上传成功！",
          upload_fail_content: "模板上传失败！",
          download_success_content: "下载成功！",
          download_fail_content: "下载失败！",
  
          data_fail_content: "数据采集失败！",
      },
      modal: {
          placeholder: "请输入内容...",
          template_title: "保存模板名称",
          ok_text: "提交",
          upload_text: "提交",
          confirm: "确定",
          cancel_text: "取消",
          delete_content: "确定要删除",
          cancel_content: "确定要取消本次创建吗"
      },
      flow_columns: {
          create_title: "新建流水线",
          update_title: "更改流水线",
          flow_name: "流水线名称",
          driverMemory: "Driver内存",
          executorNumber: "Executor数量",
          executorMemory: "Executor内存",
          executorCores: "ExecutorCPU核数",
          name: "名称",
          description: "描述信息",
          CreateTime: "创建时间",
          action: "操作"
      },
      group_columns: {
          create_title: "新建流水线组",
          update_title: "更改流水线组",
          group_name: "流水线组名称",
          name: "名称",
          description: "描述信息",
          CreateTime: "创建时间",
          action: "操作"
      },
      progress_columns: {
          progress: "进程",
          endTime: "开始时间",
          startTime: "结束时间",
          processType: "流程类型",
          description: "描述信息",
          id: "ProcessGroupId",
          name: "名称",
          state: "状态",
          action: "操作"
      },
      template_columns: {
          name: "名称",
          crtDttm: "创建时间",
          action: "操作"
      },
      dataSource_columns: {
          create_title: "新建数据源",
          update_title: "更改数据源",
          type: "数据源类型",
          dataSource_name: "数据源名称",
          addProperty: "添加属性",
          name: "名称",
          description: "描述信息",
          CreateTime: "创建时间",
          dataSourceType: "数据源类型",
          action: "操作",
          isLinked: "是否同步更改?相关的组件："
      },
      schedule_columns: {
          create_title: "新建流水线调度",
          update_title: "更改流水线调度",
          scheduleType: "调度类型",
          startDate: "开始时间",
          endDate: "结束时间",
          flowIsGroup: "流水线 / 流水线组",
          cron: "CRON表达式",
          type:'类型',
          name: "名称",
          StartTime:"开始时间",
          EndTime:"结束时间",
          status: "状态",
          action: "操作"
      },
      StopHub_columns: {
          upload: "新建自定义组件",
          name: "组件名称",
          version: "版本",
          jarUrl: "Jar 地址",
          status: "状态",
          action: "操作",
          jarDescription: '点 击 或 拖 动 jar 在 此 处 上 传'
      },
      testData_columns:{
          create_title: "新建测试数据",
          update_title: "更改测试数据",
          testData_name: "测试名称",
          name: "名称",
          description: "描述信息",
          methed: "创建方式",
          header: "表头",
          delimiter: "分隔符",
          schema: "表结构",
          CreateTime: "创建时间",
          action: "操作",
          fileDescription: "点 击 或 拖 动 文件 在 此 处 上 传",
          uploadPrompt: "若您上传的CSV文件包含中文字符，请使用UTF-8编码"
      },
      code_columns: {
          create_title: "新建在线运行",
          update_title: "更改在线运行",
          code_name: "代码名称",
          name: "名称",
          description: "描述信息",
          CreateTime: "创建时间",
          UpdateTime: "修改时间",
          action: "操作"
      },
      admin_columns: {
          create_title: "新建调度",
          update_title: "更改调度",
          jobName: "名称",
          jobClass: "类",
          cronExpression: "CRON表达式",
          name: "调度名称",
          class: "类",
          cron: "CRON表达式",
          status: "状态",
          createTime: "创建时间",
          action: "操作"
      },
      stopsComponent_columns: {
          name: "组件名称",
          description: "描述信息",
      },
      globalVariable_columns: {
          create_title: "新建全局变量",
          update_title: "更改全局变量",
          content: "全局变量内容",
          name: "名称",
          type: "类型",
          createTime: "创建时间",
          action: "操作"
      },
      homeInfo: {
          introduction_title: "简介",
          monitor_title: "监控",
          statistics_title: "统计",
          CPU_Disk: 'CPU磁盘使用率',
          Memory_Disk: '内存磁盘使用率',
          HDFS_Disk: 'HDFS磁盘使用率',
          totalCapacity: '总容量',
          Used: '已使用',
          introduction_Info: "PiFlow是一款基于分布式计算引擎Spark开发的大数据流水线系统，以所见即所得的方式，实现大数据采集、处理、存储与分析流程化配置、运行与智能监控，提供了100+的标准化组件， 包括Hadoop 、Spark、MLlib、Hive、Solr、ElasticSearch、Redis等，更支持面向领域、灵活的二次组件开发，性能优越。",
          flowStatistics: "流水线统计信息，包括流水线Flow数量、运行态流水线Processor数量，以及各运行状态下Processor数量。",
          scheduleStatistics: "调度统计信息，包括调度流水线/流水线组数量，以及各个状态下Schedule数量。",
          groupStatistics: "流水线组统计信息，包括流水线组Group数量、运行态流水线组Processor数量，以及各运行状态下Processor数量。",
          OtherStatistics: "其他统计信息，包括数据源DataSource数量、自定义组件插件StopsHub数量、模板Template数量。",
          ComponentStatistics: "组件统计信息，包括数据处理组件Stop数量，数据处理组件组StopGroup数量。",
      }
  }