From d055bb365afebcbc04f49f492b55ca99fafe2537 Mon Sep 17 00:00:00 2001 From: lvlin241 Date: Sun, 10 Dec 2023 00:02:55 +0800 Subject: [PATCH] [Improve] change document image loaded location. 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的系统开发和运维人员 + +# 系统要求 +> 参考:[https://streampark.apache.org/docs/user-guide/deployment#environmental-requirements](https://streampark.apache.org/docs/user-guide/deployment#environmental-requirements) + +## 硬件要求 +> - 本文档使用Linux:3.10.0-957.el7.x86_6 + +![1_hardware_requirement](/doc/image/install/1_hardware_requirement.png) +## 软件要求 +Notes: + +1. **单纯安装StreamPark,可忽略hadoop** +2. 若采用 yarn application 模式 执行flink作业,需要hadoop +> - JDK : 1.8+ +> - MySQL : 5.6+ +> - Flink : 1.12.0+ +> - Hadoop : 2.7.0+ +> - StreamPark : 2.0.0+ + +本文档采用的软件版本信息 +> - **JDK:1.8.0_181** +> - **MySQL: 5.7.26** +> - **Flink : 1.14.3-scala_2.12** +> - **Hadoop : 3.2.1** + +主要组件依赖关系: +![2_main_components_dep](/doc/image/install/2_main_components_dep.png) +# 安装前准备 +> JDK、MYSQL、HADOOP需用户自行查阅资料安装。 + +## 下载&&配置flink +> 下载flink + +```bash +cd /usr/local +wget https://archive.apache.org/dist/flink/flink-1.14.3/flink-1.14.3-bin-scala_2.12.tgz +``` +> 解压 + +```bash +tar -zxvf flink-1.14.3-bin-scala_2.12.tgz +``` +> 重命名 + +```bash +mv flink-1.14.3 flink +``` + +> 配置flink环境变量 + +```bash +# 配置环境变量(vim ~/.bashrc),加入以下内容 +export FLINK_HOME=/usr/local/flink +export PATH=$FLINK_HOME/bin:$PATH + +# 生效环境变量配置 +source ~/.bashrc + +# 测试(出现:'Version: 1.14.3, Commit ID: 98997ea',则说明配置成功) +flink -v + +``` +![3_flink_home](/doc/image/install/3_flink_home.png) +## 引入MySQL依赖包 +> 原因:**由于Apache 2.0许可与Mysql Jdbc驱动许可的不兼容,用户需要自行下载驱动jar包并放在 $STREAMPARK_HOME/lib 中,推荐使用8.x版本。** +> 驱动包版本:mysql-connector-java-8.0.28.jar + +```bash +cp mysql-connector-java-8.0.28.jar /usr/local/streampark/lib +``` +![4_mysql_dep](/doc/image/install/4_mysql_dep.png) +## 下载StreamPark +> 下载URL:[https://dlcdn.apache.org/incubator/streampark/2.0.0/apache-streampark_2.12-2.0.0-incubating-bin.tar.gz](https://dlcdn.apache.org/incubator/streampark/2.0.0/apache-streampark_2.12-2.0.0-incubating-bin.tar.gz) + +> 上传 [apache-streampark_2.12-2.0.0-incubating-bin.tar.gz](https://dlcdn.apache.org/incubator/streampark/2.0.0/apache-streampark_2.12-2.0.0-incubating-bin.tar.gz) 至 服务器 /usr/local 路径 + +![5_streampark_install_pkg](/doc/image/install/5_streampark_install_pkg.png) +> 解压 + +```bash +tar -zxvf apache-streampark_2.12-2.0.0-incubating-bin.tar.gz +``` +![6_unpkg](/doc/image/install/6_unpkg.png) + +# 安装 +## 初始化系统数据 +> **目的:创建StreamPark组件部署依赖的数据库(表),同时将其运行需要的数据提前初始化(比如:web页面的菜单、用户等信息),便于后续操作。** + +### 查看执行SteamPark元数据SQL文件 +> 说明: +> - StreamPark支持MySQL、PostgreSQL、H2 +> - 本次以MySQL为例,PostgreSQL流程基本一致 + +> 数据库创建脚本: /usr/local/apache-streampark_2.12-2.0.0-incubating-bin/script/schema/mysql-schema.sql + +![7_mysql_schema_file](/doc/image/install/7_mysql_schema_file.png) +> 数据库创建脚本: /usr/local/apache-streampark_2.12-2.0.0-incubating-bin/script/data/mysql-data.sql + +![8_mysql_data_file](/doc/image/install/8_mysql_data_file.png) + + +### 连接MySQL数据库 && 执行初始化脚本 +```bash +source /usr/local/apache-streampark_2.12-2.0.0-incubating-bin/script/schema/mysql-schema.sql +``` +![9_import_streampark_schema_file](/doc/image/install/9_import_streampark_schema_file.png) +```bash +source source /usr/local/apache-streampark_2.12-2.0.0-incubating-bin/script/data/mysql-data.sql +``` +![10_import_streampark_data_file](/doc/image/install/10_import_streampark_data_file.png) + +### 查看执行结果 +```bash +show databases; +``` +![11_show_streampark_database](/doc/image/install/11_show_streampark_database.png) +```bash +use streampark; +``` +![12_use_streampark_db](/doc/image/install/12_use_streampark_db.png) +```bash +show tables; +``` +![13_show_streampark_db_tables](/doc/image/install/13_show_streampark_db_tables.png) + +## StreamPark配置 +> 目的:配置启动需要的数据源。 +> 配置文件所在路径:/usr/local/streampark/conf + +![14_streampark_conf_files](/doc/image/install/14_streampark_conf_files.png) +### 配置mysql数据源 +```bash +vim application-mysql.yml +``` +> **username、password、url中的数据库IP/端口号 需要改成用户自己环境的信息** + +```bash +spring: + datasource: + username: 数据库用户名 + password: 数据库用户密码 + driver-class-name: com.mysql.cj.jdbc.Driver + url: jdbc:mysql://数据库IP地址:数据库端口号/streampark?useSSL=false&useUnicode=true&characterEncoding=UTF-8&allowPublicKeyRetrieval=false&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=GMT%2B8 +``` +### 配置应用端口、hdfs存储、应用访问密码等 +```bash +vim application.yml +``` +> **主要的配置项:** +> 1. **server.port # 【重要】默认的web访问端口号10000,如果有冲突(如: hive服务)可以更改** +> 2. knife4j.basic.enable # true表示允许访问页面 Swagger API +> 3. knife4j.basic.password # 访问页面 Swagger API 时需要密码,这样可以提高接口安全性 +> 4. **spring.profiles.activemysql # 【重要】表示系统采用何种数据源,本文档采用mysql ** +> 5. **workspace.remote # 配置工作空间信息** +> 6. **hadoop-user-name # 如果使用hadoop,该处用户需要保证有操作hdfs的权限,否则会报“org.apache.hadoop.security.AccessControlException: Permission denied”异常** +> 7. ldap.password # 系统登陆页面提供了2种登录模式: 用户密码 和 ldap。这里可以配置ldap密码 + +> 主要配置示例: + +![15_application_yml_server_port](/doc/image/install/15_application_yml_server_port.png) +> 上传flink job jar 如果过大,可能会导致上传失败,因此可以考虑修改(max-file-size和max-request-size)这两个参数;当然,实际环境还要考虑其他因素:nginx限制等。 + +![16_application_yml_spring_profile_active](/doc/image/install/16_application_yml_spring_profile_active.png) +> 支持knox配置,有些用户环境私有部署hadoop,可通过knox访问yarn web +> workspace: 配置工作空间信息(比如:savepoint和checkpoint存储路径等) + +![17_application_yml_streampark_workspace](/doc/image/install/17_application_yml_streampark_workspace.png) +> ldap + +![18_application_yml_ldap](/doc/image/install/18_application_yml_ldap.png) + +### 【可选】配置kerberos +> 背景:企业级hadoop集群环境都有设置安全访问机制,比如kerberos。StreamPark也可配置kerberos,使得flink可通过kerberos认证,向hadoop集群提交作业。 + +> **修改项如下:** +> 1. **security.kerberos.login.enable=true** +> 2. **security.kerberos.login.principal=实际的principal** +> 3. **security.kerberos.login.krb5=/etc/krb5.conf** +> 4. **security.kerberos.login.keytab=实际的keytab文件** +> 5. **java.security.krb5.conf=/etc/krb5.conf** + +![19_kerberos_yml_config](/doc/image/install/19_kerberos_yml_config.png) +## 启动StreamPark +## 进入服务器StreamPark安装路径 +```bash +cd /usr/local/streampark/ +``` +![20_enter_streampark_dir](/doc/image/install/20_enter_streampark_dir.png) +## 启动StreamPark服务 +```bash +./bin/startup.sh +``` +![21_start_streampark_service](/doc/image/install/21_start_streampark_service.png) +> 查看启动日志 +> 目的:确认无报错信息 + +```bash +tail -100f log/streampark.out +``` +![22_check_service_starting_log](/doc/image/install/22_check_service_starting_log.png) +# 验证安装 +```bash +# 页面正常打开,则说明部署成功。 +http://部署streampark服务IP或域名:10000/ +admin/streampark +``` +## 页面正常访问 +![23_visit_streampark_web](/doc/image/install/23_visit_streampark_web.png) +## 系统正常登录 +![24_streampark_web_index_page](/doc/image/install/24_streampark_web_index_page.png) +## + +# 常见问题 +## Cannot load driver class: com.mysql.cj.jdbc.Driver +> 原因:缺少mysql驱动包,参见 “3.2. 引入MySQL依赖包” + +![25_lack_mysql_driver_err](/doc/image/install/25_lack_mysql_driver_err.png) +# 参考资源 +> [https://streampark.apache.org/docs/user-guide/deployment/](https://streampark.apache.org/docs/user-guide/deployment/) + diff --git a/docs/user-guide/12-platformBasicUsage.md b/docs/user-guide/12-platformBasicUsage.md new file mode 100644 index 000000000..eba831472 --- /dev/null +++ b/docs/user-guide/12-platformBasicUsage.md @@ -0,0 +1,355 @@ +# 快速上手 +> 说明:该部分旨在通过简单的操作步骤,体验使用StreamPark平台提交flink作业的便捷流程。 + +## 配置FLINK_HOME +![1_config_flink_home](/doc/image/platform-usage/1_config_flink_home.png) + +![2_add_flink_home_info](/doc/image/platform-usage/2_add_flink_home_info.png) +> 点击"OK",保存 + +![3_display_flink_home_config](/doc/image/platform-usage/3_display_flink_home_config.png) +## 配置Flink Cluster +> 根据flink 部署模式 以及 资源管理方式,StreamPark 支持以下6种作业模式 +> - **Standalone Session** +> - **Yarn Session** +> - **Yarn Per-job** +> - **Yarn Application** +> - **K8s Session** +> - **K8s Application** +> +本次选取较为简单的 Standalone Session 模式(**下图绿色连线**),快速上手。 + +![4_flink_deployment_execute_model](/doc/image/platform-usage/4_flink_deployment_execute_model.png) + +### 服务器启动 flink Standalone Session +```bash +start-cluster.sh +``` +![5_start_flink_standalone_session_service](/doc/image/platform-usage/5_start_flink_standalone_session_service.png) +> 页面访问:[http://hadoop:8081/](http://hadoop:8081/) + +![6_flink_standalone_session_web_ui](/doc/image/platform-usage/6_flink_standalone_session_web_ui.png) +### 配置Flink Cluster +![7_config_flink_cluster_menu.png](/doc/image/platform-usage/7_config_flink_cluster_menu.png) + +![8_add_flink_cluster_info.png](/doc/image/platform-usage/8_add_flink_cluster_info.png) + +![9_add_flink_cluster_successfully](/doc/image/platform-usage/9_add_flink_cluster_successfully.png) + +![10_display_flink_cluster_list](/doc/image/platform-usage/10_display_flink_cluster_list.png) + +## 创建作业 +![11_add_flink_job_menu](/doc/image/platform-usage/11_add_flink_job_menu.png) +### 主要参数 +> - Development Mode: 选择 “Flink SQL” +> - Execution Mode: 选择 “remote” +> - Flink Version: 选择 "flink-1.14", 即 “1.1 配置FLINK_HOME”里面配置的 +> - Flink Cluster: 选择 “myStandalonSession”, 即“1.2 配置FLINK Cluster”里面配置的 +> - Flink SQL: 详见下面示例 +> - Application Name: 作业名称 + +### 创建作业 +![12_add_flink_job_param_1](/doc/image/platform-usage/12_add_flink_job_param_1.png) + +![13_add_flink_job_param_2](/doc/image/platform-usage/13_add_flink_job_param_2.png) + +![14_add_flink_job_param_3](/doc/image/platform-usage/14_add_flink_job_param_3.png) + +### 保存作业 +> 点击 蓝色“Submit”按钮,提交作业 + +![15_save_flink_job](/doc/image/platform-usage/15_save_flink_job.png) + +![16_display_flink_job_list](/doc/image/platform-usage/16_display_flink_job_list.png) + +## 构建作业 +![17_build_flink_job](/doc/image/platform-usage/17_build_flink_job.png) +> 构建成功 + +![18_build_flink_job_successfully](/doc/image/platform-usage/18_build_flink_job_successfully.png) + +## 启动作业 +![19_start_flink_job](/doc/image/platform-usage/19_start_flink_job.png) + +### 启动检查点设置 +![20_set_checkpoint_when_start_flink_job](/doc/image/platform-usage/20_set_checkpoint_when_start_flink_job.png) + +### 提交作业 +![21_submit_flink_job_1](/doc/image/platform-usage/21_submit_flink_job_1.png) +![22_submit_flink_job_2](/doc/image/platform-usage/22_submit_flink_job_2.png) + +## 查看作业状态 +### 通过StreamPark看板查看 +> StreamPark dashboard + +![23_flink_job_dashboard](/doc/image/platform-usage/23_flink_job_dashboard.png) + +> 查看作业详情 + +![24_display_flink_job_details](/doc/image/platform-usage/24_display_flink_job_details.png) + +![25_display_flink_job_details_page](/doc/image/platform-usage/25_display_flink_job_details_page.png) + +### 查看原生 flink web ui +![26_display_native_flink_job_web_ui](/doc/image/platform-usage/26_display_native_flink_job_web_ui.png) + +![27_display_native_flink_job_web_ui_2](/doc/image/platform-usage/27_display_native_flink_job_web_ui_2.png) + +> 至此,一个使用StreamPark平台提交flink job的流程基本完成。下面简单总结下StreamPark平台管理flink作业的大致流程。 + +## StreamPark平台管理flink job的流程 +![28_streampark_process_workflow](/doc/image/platform-usage/28_streampark_process_workflow.png) + +> 通过 StreamPark 平台 停止、修改、删除 flink job 相对简单,大家可自行体验,需要说明的一点是:**若作业为running状态,则不可删除,需先停止**。 + + +# StreamPark系统模块简介 +## 系统设置 +> 菜单位置 + +![29_streampark_system_menu](/doc/image/platform-usage/29_streampark_system_menu.png) + +### User Management +> 用于管理StreamPark平台用户 + +![30_streampark_user_management_menu](/doc/image/platform-usage/30_streampark_user_management_menu.png) +### Token Management +> 允许用户以Restful api形式操作flink job + +![31_streampark_token_management_menu](/doc/image/platform-usage/31_streampark_token_management_menu.png) + +![32_streampark_token_management_menu_usage](/doc/image/platform-usage/32_streampark_token_management_menu_usage.png) + +```bash +curl -X POST '/flink/app/cancel' \ +-H 'Authorization: 69qMW7reOXhrAh29LjPWwwP+quFqLf++MbPbsB9/NcTCKGzZE2EU7tBUBU5gqG236VF5pMyVrsE5K7hBWiyuLuJRqmxKdPct4lbGrjZZqkv5lBBYExxYVMIl+f5MZ9dbqqslZifFx3P4A//NYgGwkx5PpizomwkE+oZOqg0+c2apU0UZ9T7Dpnu/tPLk9g5w9q+6ZS2p+rTllPiEgyBnSw==' \ +-H 'Content-Type: application/x-www-form-urlencoded; charset=UTF-8' \ +--data-urlencode 'savePoint=' \ +--data-urlencode 'id=100001' \ +--data-urlencode 'savePointed=false' \ +--data-urlencode 'drain=false' \ +-i +``` +### Role Management +> 用户角色:目前有2种,develop 和 admin。 + +![33_streampark_role_menu](/doc/image/platform-usage/33_streampark_role_menu.png) + +### Team Management +> 团队:用于区分管理企业不同团队的作业。 + +![34_streampark_team_menu](/doc/image/platform-usage/34_streampark_team_menu.png) + +### Member Management +> (团队)成员管理 + +![35_streampark_member_menu](/doc/image/platform-usage/35_streampark_member_menu.png) + +### Menu Management +> 管理系统菜单 + +![36_streampark_menu_management](/doc/image/platform-usage/36_streampark_menu_management.png) + +## StreamPark菜单模块 +### Project +> StreamPark结合代码仓库实现CICD + +![37_streampark_project_menu](/doc/image/platform-usage/37_streampark_project_menu.png) +> 使用时,点击 “+ Add new ”,配置repo信息,保存。 + +![38_streampark_project_menu_usage_1](/doc/image/platform-usage/38_streampark_project_menu_usage_1.png) + +![39_streampark_project_menu_usage_2](/doc/image/platform-usage/39_streampark_project_menu_usage_2.png) + +### Application +> **核心模块:用于对 flink job 全生命周期(创建、构建、启动、停止、删除等)管理。** + +![40_application_menu](/doc/image/platform-usage/40_application_menu.png) +### Variable +> 变量管理:管理变量,可在Application 作业创建时使用。 + +![41_variable_menu_usage_1](/doc/image/platform-usage/41_variable_menu_usage_1.png) + +![42_variable_menu_usage_2](/doc/image/platform-usage/42_variable_menu_usage_2.png) + +![43_variable_menu_usage_3](/doc/image/platform-usage/43_variable_menu_usage_3.png) + +### Setting +#### System Setting +> 用于系统配置:Maven 、 Docker 、 alert email、Ingress + +![44_system_menu_1](/doc/image/platform-usage/44_system_menu_1.png) + +![44_system_menu_2](/doc/image/platform-usage/44_system_menu_2.png) + +![44_system_menu_3](/doc/image/platform-usage/44_system_menu_3.png) + +![44_system_menu_4](/doc/image/platform-usage/44_system_menu_4.png) + +#### Alert Setting +> 支持多种告警通知模式 + +![48_alert_setting_menu](/doc/image/platform-usage/48_alert_setting_menu.png) + +#### Flink Home +> 【**待完善**】可对flink作业进行一些操作,如对flink sql校验等 + +![49_flink_home_list](/doc/image/platform-usage/49_flink_home_list.png) + +![50_flink_home_usage](/doc/image/platform-usage/50_flink_home_usage.png) + +![51_flink_home_usage_2](/doc/image/platform-usage/51_flink_home_usage_2.png) + +#### Flink Cluster +> - Session模式执行flink作业,根据资源管理方式不同,可以分为3种:Standalone、Yarn、K8s +> - 【**待完善**】应用场景:资源充足,作业之间隔离性需求不是很强的场景 +> - 关于session模式,详见:[https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/deployment/overview/#session-mode](https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/deployment/overview/#session-mode) + + +![52_add_flink_cluster_info](/doc/image/platform-usage/52_add_flink_cluster_info.png) + +![53_display_flink_cluster_list](/doc/image/platform-usage/53_display_flink_cluster_list.png) + +![54_visit_flink_cluster_web_ui](/doc/image/platform-usage/54_visit_flink_cluster_web_ui.png) + +# 原生flink 与 StreamPark关联使用 +> 【**待完善**】其实,个人理解,StreamPark一大特点是对flink原生作业的管理模式在用户使用层面进行了优化,使得用户能利用该平台快速开发、部署、运行、监控flink作业。所以,想表达的意思是:如果用户对原生flink比较熟悉的话,那StreamPark使用起来就会更加得心应手。 + +## flink部署模式 +> 下面内容摘自 **张利兵 老师 极客时间专栏** 《[Flink核心技术与实战](https://time.geekbang.org/course/intro/100058801)》 + +### 原生flink集群部署模式 +![55_flink_deployment_difference_1](/doc/image/platform-usage/55_flink_deployment_difference_1.png) + +![55_flink_deployment_difference_2](/doc/image/platform-usage/55_flink_deployment_difference_2.png) + +![55_flink_deployment_difference_3](/doc/image/platform-usage/55_flink_deployment_difference_3.png) + +![55_flink_deployment_difference_4](/doc/image/platform-usage/55_flink_deployment_difference_4.png) + +![55_flink_deployment_difference_5](/doc/image/platform-usage/55_flink_deployment_difference_5.png) + +![55_flink_deployment_difference_6](/doc/image/platform-usage/55_flink_deployment_difference_6.png) + +### 如何在StreamPark中使用 +> **Session 模式** + +1. 配置 Flink Cluster + +![61_flink_session_cluster_usage_1](/doc/image/platform-usage/61_flink_session_cluster_usage_1.png) + +2. 创建作业时在 Execution Mode选择对应资源管理器的model 和 已经建立好的Flink Cluster + +![62_flink_session_cluster_usage_2](/doc/image/platform-usage/62_flink_session_cluster_usage_2.png) +> **Application 模式** + +![63_flink_application_model_usage_1](/doc/image/platform-usage/63_flink_application_model_usage_1.png) + +![64_flink_application_model_usage_2](/doc/image/platform-usage/64_flink_application_model_usage_2.png) + +![65_flink_application_model_usage_3](/doc/image/platform-usage/65_flink_application_model_usage_3.png) + +![66_flink_application_model_usage_4](/doc/image/platform-usage/66_flink_application_model_usage_4.png) + +## 设置作业参数 +### 原生flink作业参数 +> 官网:[https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/deployment/config/](https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/deployment/config/) + +> 原生提交命令(含参数) + +```bash +flink run-application -t yarn-application \ + -Dyarn.provided.lib.dirs="hdfs://myhdfs/my-remote-flink-dist-dir" \ + hdfs://myhdfs/jars/my-application.jar +``` +### 如何在StreamPark中使用 +> 创建 或 修改 作业时,在“Dynamic Properties”里面按指定格式添加即可 + +![67_dynamic_params_usage](/doc/image/platform-usage/67_dynamic_params_usage.png) + +## 告警策略 +> 【**待完善**】 + +### 原生flink重启机制 +> 参考:[https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/ops/state/task_failure_recovery/](https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/ops/state/task_failure_recovery/) + +![68_native_flink_restart_strategy](/doc/image/platform-usage/68_native_flink_restart_strategy.png) + +### 如何在StreamPark中使用 +> 【**待完善**】一般在作业失败或出现异常时,会触发告警 + +1. 配置告警通知 + +![69_streampark_alert_settings_1](/doc/image/platform-usage/69_streampark_alert_settings_1.png) + +![70_streampark_alert_settings_2](/doc/image/platform-usage/70_streampark_alert_settings_2.png) + +2. 创建 或 修改 作业时,在"Fault Alert Template"、“CheckPoint Failure Options”里面配置即可 + +![71_streampark_alert_usage](/doc/image/platform-usage/71_streampark_alert_usage.png) + +## cp/sp +> 【**待完善**】 + +### 原生flink checkpoint 和 savepoint +> cp: [https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/dev/datastream/fault-tolerance/checkpointing/](https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/dev/datastream/fault-tolerance/checkpointing/) +> sp: [https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/ops/state/savepoints/](https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/ops/state/savepoints/) + + +![72_native_flink_save_checkpoint_gramma](/doc/image/platform-usage/72_native_flink_save_checkpoint_gramma.png) +### 如何在StreamPark中配置savepoint +> 当停止作业时,可以让用户设置savepoint + +![73_streampark_save_checkpoint](/doc/image/platform-usage/73_streampark_save_checkpoint.png) + +![74_streampark_set_checkpoint_location](/doc/image/platform-usage/74_streampark_set_checkpoint_location.png) + +![75_streampark_save_checkpoint_log](/doc/image/platform-usage/75_streampark_save_checkpoint_log.png) + +> 查看savepoint + +![76_show_checkpoint_file_name](/doc/image/platform-usage/76_show_checkpoint_file_name.png) + +![77_show_checkpoint_file_name_2](/doc/image/platform-usage/77_show_checkpoint_file_name_2.png) + +### 如何在StreamPark中由指定savepoint恢复作业 +> 启动作业时,会让选择 + +![78_usage_checkpoint_in_streampark](/doc/image/platform-usage/78_usage_checkpoint_in_streampark.png) + +## 作业状态 +> 【**待完善**】 + +### 原生flink 作业状态 +> 参考:[https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/internals/job_scheduling/#jobmanager-%e6%95%b0%e6%8d%ae%e7%bb%93%e6%9e%84](https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/internals/job_scheduling/#jobmanager-%e6%95%b0%e6%8d%ae%e7%bb%93%e6%9e%84) + +![79_native_flink_job_status](/doc/image/platform-usage/79_native_flink_job_status.svg) + +### StreamPark中的作业状态 +> 【**待完善**】 + + +## 作业详情 +### 原生flink作业详情 +> 通过 “[Apache Flink Dashboard](http://hadoop:8088/proxy/application_1701871016253_0004/#/)”查看 + +![80_native_flink_job_details_page](/doc/image/platform-usage/80_native_flink_job_details_page.png) + +### StreamPark中作业详情 +![81_streampark_flink_job_details_page](/doc/image/platform-usage/81_streampark_flink_job_details_page.png) + +> 同时在k8s模式下的作业,StreamPark还支持启动日志实时展示,如下 + +![82_streampark_flink_job_starting_log_info](/doc/image/platform-usage/82_streampark_flink_job_starting_log_info.png) + +## 如何与第三方系统集成 +### 原生flink如何与第三方系统集成 +> 原生flink提供了 rest api +> 参考:[https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/ops/rest_api/](https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/ops/rest_api/) + +### StreamPark如何与第三方系统集成 +> 也提供了Restful Api,支持与其他系统对接, +> 比如:开启作业 启动|停止 restapi 接口 + +![83_streampark_restful_api_1](/doc/image/platform-usage/83_streampark_restful_api_1.png) +![84_streampark_restful_api_2](/doc/image/platform-usage/84_streampark_restful_api_2.png) diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/11-platformInstall.md b/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/11-platformInstall.md index f00246937..1dbc4c9dd 100644 --- a/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/11-platformInstall.md +++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/11-platformInstall.md @@ -11,7 +11,7 @@ ## 硬件要求 > - 本文档使用Linux:3.10.0-957.el7.x86_6 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701847345981-b334422d-c586-49f3-942f-c89c6ddfa31f.png#averageHue=%230d0b09&clientId=u3a889b5e-b613-4&from=paste&height=78&id=ud32c949d&originHeight=78&originWidth=1226&originalType=binary&ratio=1&rotation=0&showTitle=false&size=15221&status=done&style=none&taskId=u93a7dfab-31db-4b67-bfa8-d37c8cd1eb8&title=&width=1226) +![1_hardware_requirement](/doc/image/install/1_hardware_requirement.png) ## 软件要求 Notes: @@ -30,7 +30,7 @@ Notes: > - **Hadoop : 3.2.1** 主要组件依赖关系: -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701849420088-78304d4d-60bd-47da-9838-410416ce3ff5.png#averageHue=%23fff9f9&clientId=u3a889b5e-b613-4&from=paste&height=425&id=Y5YGI&originHeight=425&originWidth=931&originalType=binary&ratio=1&rotation=0&showTitle=false&size=37915&status=done&style=none&taskId=ud0bb957d-3fa0-4558-9657-594bb8bfa21&title=&width=931) +![2_main_components_dep](/doc/image/install/2_main_components_dep.png) # 安装前准备 > JDK、MYSQL、HADOOP需用户自行查阅资料安装。 @@ -50,8 +50,6 @@ tar -zxvf flink-1.14.3-bin-scala_2.12.tgz ```bash mv flink-1.14.3 flink -# 【可选】删除源文件 -rm -rf flink-1.14.3-bin-scala_2.12.tgz ``` > 配置flink环境变量 @@ -68,7 +66,7 @@ source ~/.bashrc flink -v ``` -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701852697827-ee94ef62-7825-4c63-8acd-81b930bf73dc.png#averageHue=%230c0908&clientId=u3a889b5e-b613-4&from=paste&height=376&id=uad6111ab&originHeight=376&originWidth=824&originalType=binary&ratio=1&rotation=0&showTitle=false&size=46534&status=done&style=none&taskId=u586190aa-0183-46b0-8c76-2f3bc8ed53e&title=&width=824) +![3_flink_home](/doc/image/install/3_flink_home.png) ## 引入MySQL依赖包 > 原因:**由于Apache 2.0许可与Mysql Jdbc驱动许可的不兼容,用户需要自行下载驱动jar包并放在 $STREAMPARK_HOME/lib 中,推荐使用8.x版本。** > 驱动包版本:mysql-connector-java-8.0.28.jar @@ -76,30 +74,20 @@ flink -v ```bash cp mysql-connector-java-8.0.28.jar /usr/local/streampark/lib ``` -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701860095791-20d3af92-a2ad-4314-ba2d-6908d5c24d80.png#averageHue=%23130a08&clientId=u3a889b5e-b613-4&from=paste&height=116&id=u2ec05ca2&originHeight=128&originWidth=999&originalType=binary&ratio=1&rotation=0&showTitle=false&size=15811&status=done&style=none&taskId=u7e54a2d0-1a2d-4248-b9f8-0ad1fd725e7&title=&width=908.1817984975078) +![4_mysql_dep](/doc/image/install/4_mysql_dep.png) ## 下载StreamPark > 下载URL:[https://dlcdn.apache.org/incubator/streampark/2.0.0/apache-streampark_2.12-2.0.0-incubating-bin.tar.gz](https://dlcdn.apache.org/incubator/streampark/2.0.0/apache-streampark_2.12-2.0.0-incubating-bin.tar.gz) > 上传 [apache-streampark_2.12-2.0.0-incubating-bin.tar.gz](https://dlcdn.apache.org/incubator/streampark/2.0.0/apache-streampark_2.12-2.0.0-incubating-bin.tar.gz) 至 服务器 /usr/local 路径 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701852976267-70920b37-a72c-463b-9d0e-b52996530129.png#averageHue=%230c0706&clientId=u3a889b5e-b613-4&from=paste&height=402&id=ucec692ee&originHeight=402&originWidth=1200&originalType=binary&ratio=1&rotation=0&showTitle=false&size=55901&status=done&style=none&taskId=ua66a79ca-5515-48ab-8abe-1bd03f2e5ca&title=&width=1200) +![5_streampark_install_pkg](/doc/image/install/5_streampark_install_pkg.png) > 解压 ```bash tar -zxvf apache-streampark_2.12-2.0.0-incubating-bin.tar.gz ``` -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701853003079-78ebbdf8-b7d7-4d5d-88af-f55bbafa1e4c.png#averageHue=%230d0807&clientId=u3a889b5e-b613-4&from=paste&height=97&id=ud99c63dc&originHeight=97&originWidth=1155&originalType=binary&ratio=1&rotation=0&showTitle=false&size=16409&status=done&style=none&taskId=u2a6a3b3f-70e4-4fa9-95f1-9c2a96918b1&title=&width=1155) -> 删除源文件 +![6_unpkg](/doc/image/install/6_unpkg.png) -```bash -rm -rf apache-streampark_2.12-2.0.0-incubating-bin.tar.gz -``` -> 重命名 - -```bash -mv apache-streampark_2.12-2.0.0-incubating-bin/ streampark -``` -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701853082974-a1f40c24-a5c9-4ecd-b867-ebfdeba4cbb1.png#averageHue=%230a0807&clientId=u3a889b5e-b613-4&from=paste&height=374&id=ue28f669e&originHeight=374&originWidth=1004&originalType=binary&ratio=1&rotation=0&showTitle=false&size=51062&status=done&style=none&taskId=ub4ddf3d1-a9ce-4bff-8b83-09a1d80df85&title=&width=1004) # 安装 ## 初始化系统数据 > **目的:创建StreamPark组件部署依赖的数据库(表),同时将其运行需要的数据提前初始化(比如:web页面的菜单、用户等信息),便于后续操作。** @@ -109,42 +97,47 @@ mv apache-streampark_2.12-2.0.0-incubating-bin/ streampark > - StreamPark支持MySQL、PostgreSQL、H2 > - 本次以MySQL为例,PostgreSQL流程基本一致 -> 数据库创建脚本: /usr/local/streampark/script/schema/mysql-schema.sql +> 数据库创建脚本: /usr/local/apache-streampark_2.12-2.0.0-incubating-bin/script/schema/mysql-schema.sql -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701854227323-af0726dc-8c4e-4dc4-84db-41440115807a.png#averageHue=%23110c0a&clientId=u3a889b5e-b613-4&from=paste&height=132&id=wp8pI&originHeight=145&originWidth=689&originalType=binary&ratio=1&rotation=0&showTitle=false&size=16822&status=done&style=none&taskId=u0cf64780-5f39-42b3-8b70-660970e4e8e&title=&width=626.3636227875704) -> 数据库创建脚本: /usr/local/streampark/script/data/mysql-data.sql +![7_mysql_schema_file](/doc/image/install/7_mysql_schema_file.png) +> 数据库创建脚本: /usr/local/apache-streampark_2.12-2.0.0-incubating-bin/script/data/mysql-data.sql -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701854251844-193d0a03-a141-4d3e-9970-f0d0fd0351c8.png#averageHue=%23120d0b&clientId=u3a889b5e-b613-4&from=paste&height=131&id=qArlf&originHeight=144&originWidth=662&originalType=binary&ratio=1&rotation=0&showTitle=false&size=15282&status=done&style=none&taskId=uae9efa05-df2e-4fd9-94d4-3f5da3afc36&title=&width=601.8181687741243) -> 建议:将 mysql-schema.sql、mysql-data.sql 两个文件下载到本地,便于后续直接导入执行。 +![8_mysql_data_file](/doc/image/install/8_mysql_data_file.png.png) -### 连接MySQL数据库 -> 这里使用Workbench工具,当然大家也可以选用其他的,如:Navicat等 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701853620689-01029434-2f4e-450c-8768-48328dc6db34.png#averageHue=%23385063&clientId=u3a889b5e-b613-4&from=paste&height=736&id=UEjwg&originHeight=736&originWidth=1366&originalType=binary&ratio=1&rotation=0&showTitle=false&size=61113&status=done&style=none&taskId=u7271f7b8-deb8-48b6-a984-2fa55adb40d&title=&width=1366) -### 导入待执行SQL脚本 -> 菜单位置:File ----> Open SQL Script ... - -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701854893603-c403b1e7-5ec7-4544-b4dc-002a61ab7d63.png#averageHue=%23f59e8b&clientId=u3a889b5e-b613-4&from=paste&height=632&id=u9664a7b9&originHeight=695&originWidth=1365&originalType=binary&ratio=1&rotation=0&showTitle=false&size=88764&status=done&style=none&taskId=u50bf5155-93e5-4cd7-82c6-96f2c0db4a6&title=&width=1240.9090640131112) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701854958946-bc5caf78-d702-4c53-a12f-0d90064a5739.png#averageHue=%23fdfbfa&clientId=u3a889b5e-b613-4&from=paste&height=541&id=u274be3d3&originHeight=595&originWidth=1319&originalType=binary&ratio=1&rotation=0&showTitle=false&size=68511&status=done&style=none&taskId=ub2e3810f-79d2-447f-ae70-2920ec9a49a&title=&width=1199.0908831013141) -### 执行SQL文件 -> **创建数据库(表)** -> **需要执行的文件:mysql-schema.sql** - -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701855028002-314c5f53-d0f5-49c0-a1d7-db20f68fe631.png#averageHue=%23fcfbfb&clientId=u3a889b5e-b613-4&from=paste&height=571&id=uea6414aa&originHeight=628&originWidth=1366&originalType=binary&ratio=1&rotation=0&showTitle=false&size=87901&status=done&style=none&taskId=ue02b36ec-6844-408f-a4eb-34c7c4a3dca&title=&width=1241.8181549024982) -> 查看执行结果 +### 连接MySQL数据库 && 执行初始化脚本 +```bash +source /usr/local/apache-streampark_2.12-2.0.0-incubating-bin/script/schema/mysql-schema.sql +``` +![9_import_streampark_schema_file](/doc/image/install/9_import_streampark_schema_file.png) +```bash +source source /usr/local/apache-streampark_2.12-2.0.0-incubating-bin/script/data/mysql-data.sql +``` +![10_import_streampark_data_file](/doc/image/install/10_import_streampark_data_file.png) +```bash +source source /usr/local/apache-streampark_2.12-2.0.0-incubating-bin/script/data/mysql-data.sql +``` +![10_import_streampark_data_file](/doc/image/install/10_import_streampark_data_file.png) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701855268529-49213119-e4c5-416a-bd6b-3291c8c686e8.png#averageHue=%23ddc085&clientId=u3a889b5e-b613-4&from=paste&height=495&id=u5183533a&originHeight=544&originWidth=1366&originalType=binary&ratio=1&rotation=0&showTitle=false&size=101210&status=done&style=none&taskId=ue393a988-ad39-4ee8-b1ed-9f64e075efa&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701855370346-1de25bf9-8891-4b00-b0e6-996455357cae.png#averageHue=%23e3cc92&clientId=u3a889b5e-b613-4&from=paste&height=669&id=u44dc9554&originHeight=736&originWidth=1366&originalType=binary&ratio=1&rotation=0&showTitle=false&size=148267&status=done&style=none&taskId=u92fd533e-bbfa-4f40-9f67-5112dba1899&title=&width=1241.8181549024982) -> **初始化数据库** -> **需要执行的文件:mysql-data.sql** -> **与mysql-schema.sql文件执行操作一致,这里不再赘述。正常执行结果如下:** +### 查看执行结果 +```bash +show databases; +``` +![11_show_streampark_database](/doc/image/install/11_show_streampark_database.png) +```bash +use streampark; +``` +![12_use_streampark_db](/doc/image/install/12_use_streampark_db.png) +```bash +show tables; +``` +![13_show_streampark_db_tables](/doc/image/install/13_show_streampark_db_tables.png) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701855605885-3defd22c-9e63-40db-b3e4-bf7a1da8f50a.png#averageHue=%23d7d694&clientId=u3a889b5e-b613-4&from=paste&height=641&id=u9db5b063&originHeight=705&originWidth=1366&originalType=binary&ratio=1&rotation=0&showTitle=false&size=114626&status=done&style=none&taskId=u8f691b5d-1990-42dd-91f9-602e7a29709&title=&width=1241.8181549024982) ## StreamPark配置 > 目的:配置启动需要的数据源。 > 配置文件所在路径:/usr/local/streampark/conf -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701856334100-99cc10d3-0a83-4bd0-96c0-243e9a3cbcbe.png#averageHue=%23100907&clientId=u3a889b5e-b613-4&from=paste&height=260&id=YIte2&originHeight=286&originWidth=880&originalType=binary&ratio=1&rotation=0&showTitle=false&size=41533&status=done&style=none&taskId=u3edb8ec7-a658-4ae2-9fcd-b02f56648e6&title=&width=799.9999826604674) +![14_streampark_conf_files](/doc/image/install/14_streampark_conf_files.png) ### 配置mysql数据源 ```bash vim application-mysql.yml @@ -174,10 +167,18 @@ vim application.yml > 主要配置示例: -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701857283920-571b2435-e69e-4ac2-a4fa-b489491efae9.png#averageHue=%23030000&clientId=u3a889b5e-b613-4&from=paste&height=178&id=u065cce33&originHeight=196&originWidth=738&originalType=binary&ratio=1&rotation=0&showTitle=false&size=10641&status=done&style=none&taskId=uea7e60d9-01fd-4a44-ad8b-58cd12ed56c&title=&width=670.9090763675283) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701857561183-62c636ba-f0e6-46a2-95b1-ea32d4323ef6.png#averageHue=%23080101&clientId=u3a889b5e-b613-4&from=paste&height=395&id=u58794d75&originHeight=434&originWidth=1002&originalType=binary&ratio=1&rotation=0&showTitle=false&size=56046&status=done&style=none&taskId=uc8b93250-8a8c-4279-ab67-6e4a2129b63&title=&width=910.9090711656685) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701857980299-62322091-20e6-4fea-86d9-28611d8de769.png#averageHue=%230b0201&clientId=u3a889b5e-b613-4&from=paste&height=324&id=ue4f0b436&originHeight=356&originWidth=1227&originalType=binary&ratio=1&rotation=0&showTitle=false&size=69047&status=done&style=none&taskId=u4afed263-17f9-4254-b8ef-045fd922912&title=&width=1115.4545212777198) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701858114128-2c07d81c-f34c-4b17-912c-2a977c8c93c4.png#averageHue=%23030201&clientId=u3a889b5e-b613-4&from=paste&height=261&id=u04780140&originHeight=287&originWidth=990&originalType=binary&ratio=1&rotation=0&showTitle=false&size=31471&status=done&style=none&taskId=ucce6d642-8282-4136-847a-e7adba92aab&title=&width=899.9999804930258) +![15_application_yml_server_port](/doc/image/install/15_application_yml_server_port.png) +> 上传flink job jar 如果过大,可能会导致上传失败,因此可以考虑修改(max-file-size和max-request-size)这两个参数;当然,实际环境还要考虑其他因素:nginx限制等。 + +![16_application_yml_spring_profile_active](/doc/image/install/16_application_yml_spring_profile_active.png) +> 支持knox配置,有些用户环境私有部署hadoop,可通过knox访问yarn web +> workspace: 配置工作空间信息(比如:savepoint和checkpoint存储路径等) + +![17_application_yml_streampark_workspace](/doc/image/install/17_application_yml_streampark_workspace.png) +> ldap + +![18_application_yml_ldap](/doc/image/install/18_application_yml_ldap.png) + ### 【可选】配置kerberos > 背景:企业级hadoop集群环境都有设置安全访问机制,比如kerberos。StreamPark也可配置kerberos,使得flink可通过kerberos认证,向hadoop集群提交作业。 @@ -188,25 +189,25 @@ vim application.yml > 4. **security.kerberos.login.keytab=实际的keytab文件** > 5. **java.security.krb5.conf=/etc/krb5.conf** -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701858690475-55c5273c-6dd4-44a0-b2f4-fadc37c005af.png#averageHue=%23000000&clientId=u3a889b5e-b613-4&from=paste&height=274&id=u2df08a99&originHeight=301&originWidth=618&originalType=binary&ratio=1&rotation=0&showTitle=false&size=14479&status=done&style=none&taskId=u76dbb8ef-1018-4792-a81b-49385d286af&title=&width=561.8181696411009) +![19_kerberos_yml_config](/doc/image/install/19_kerberos_yml_config.png) ## 启动StreamPark ## 进入服务器StreamPark安装路径 ```bash cd /usr/local/streampark/ ``` -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701855769777-ed4a32bc-319e-48fc-a951-92eef08f81cf.png#averageHue=%23120e0c&clientId=u3a889b5e-b613-4&from=paste&height=365&id=u4a2109ab&originHeight=401&originWidth=717&originalType=binary&ratio=1&rotation=0&showTitle=false&size=50414&status=done&style=none&taskId=uae8d66d6-1b87-4d0a-a2f9-a0f3ed9177c&title=&width=651.8181676904035) +![20_enter_streampark_dir](/doc/image/install/20_enter_streampark_dir.png) ## 启动StreamPark服务 ```bash ./bin/startup.sh ``` -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701855795683-9d7a0a00-a41c-4d80-8a77-a85fe9a2d2a6.png#averageHue=%23030202&clientId=u3a889b5e-b613-4&from=paste&height=482&id=u7043739c&originHeight=530&originWidth=1208&originalType=binary&ratio=1&rotation=0&showTitle=false&size=62577&status=done&style=none&taskId=ua0d1f749-8ed6-48ed-8f00-c7a4e93895f&title=&width=1098.1817943793687) +![21_start_streampark_service](/doc/image/install/21_start_streampark_service.png) > 查看启动日志 > 目的:确认无报错信息 ```bash tail -100f log/streampark.out ``` -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701860300946-adde5510-2860-489f-a012-7897fdb6f287.png#averageHue=%230a0808&clientId=u3a889b5e-b613-4&from=paste&height=500&id=u0ba38384&originHeight=550&originWidth=1243&originalType=binary&ratio=1&rotation=0&showTitle=false&size=61565&status=done&style=none&taskId=u41364442-bd84-4ede-9a89-376d5b4640e&title=&width=1129.9999755079102) +![22_check_service_starting_log](/doc/image/install/22_check_service_starting_log.png) # 验证安装 ```bash # 页面正常打开,则说明部署成功。 @@ -214,16 +215,16 @@ http://部署streampark服务IP或域名:10000/ admin/streampark ``` ## 页面正常访问 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701860392675-6042a1ee-17f8-410b-a2ad-a321bd19858d.png#averageHue=%231869c4&clientId=u3a889b5e-b613-4&from=paste&height=669&id=u8f4883e0&originHeight=736&originWidth=1366&originalType=binary&ratio=1&rotation=0&showTitle=false&size=422882&status=done&style=none&taskId=u0c31b488-eee7-4a22-a9ba-78d8805e985&title=&width=1241.8181549024982) +![23_visit_streampark_web](/doc/image/install/23_visit_streampark_web.png) ## 系统正常登录 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701860431036-dbf6d5a1-f833-408b-a813-7d0d176d1747.png#averageHue=%23add2a1&clientId=u3a889b5e-b613-4&from=paste&height=669&id=uc97529f7&originHeight=736&originWidth=1366&originalType=binary&ratio=1&rotation=0&showTitle=false&size=108162&status=done&style=none&taskId=ud9476ff7-10f4-4a05-98d6-e08e3b20ab4&title=&width=1241.8181549024982) +![24_streampark_web_index_page](/doc/image/install/24_streampark_web_index_page.png) ## # 常见问题 ## Cannot load driver class: com.mysql.cj.jdbc.Driver > 原因:缺少mysql驱动包,参见 “3.2. 引入MySQL依赖包” -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701859323956-e0b235b9-0fa9-4876-8199-4132667678ea.png#averageHue=%23181513&clientId=u3a889b5e-b613-4&from=paste&height=344&id=ue9ca77e9&originHeight=378&originWidth=1221&originalType=binary&ratio=1&rotation=0&showTitle=false&size=71859&status=done&style=none&taskId=u9cc19c77-311d-4985-a320-22cc55f881a&title=&width=1109.9999759413984) +![25_lack_mysql_driver_err](/doc/image/install/25_lack_mysql_driver_err.png) # 参考资源 > [https://streampark.apache.org/docs/user-guide/deployment/](https://streampark.apache.org/docs/user-guide/deployment/) diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/12-platformBasicUsage.md b/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/12-platformBasicUsage.md index f5d4e05f1..eba831472 100644 --- a/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/12-platformBasicUsage.md +++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/user-guide/12-platformBasicUsage.md @@ -1,12 +1,13 @@ # 快速上手 -> 说明:该部分旨在通过简单的操作步骤,体验使用StreamPark平台提交flink作业的边界流程。 +> 说明:该部分旨在通过简单的操作步骤,体验使用StreamPark平台提交flink作业的便捷流程。 ## 配置FLINK_HOME -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701865406948-b34d219d-6d7e-474b-9acb-7e11b4e7c93c.png#averageHue=%23cdebe8&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u24b68672&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=64511&status=done&style=none&taskId=ud186ffe5-f89a-4600-b149-1a58091dcb5&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701865537393-eeef8b04-9581-4a6f-83df-65261ba3980a.png#averageHue=%237f8279&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u27e38640&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=79284&status=done&style=none&taskId=u8b441fe8-6971-49de-afe0-934013b4e8f&title=&width=1241.8181549024982) +![1_config_flink_home](/doc/image/platform-usage/1_config_flink_home.png) + +![2_add_flink_home_info](/doc/image/platform-usage/2_add_flink_home_info.png) > 点击"OK",保存 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701865568635-aee94232-c677-4353-be7d-5bf5cc515589.png#averageHue=%23aadce6&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u8d0fb30f&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=64698&status=done&style=none&taskId=udbd6e2e7-969f-462d-bd0a-47487c5734f&title=&width=1241.8181549024982) +![3_display_flink_home_config](/doc/image/platform-usage/3_display_flink_home_config.png) ## 配置Flink Cluster > 根据flink 部署模式 以及 资源管理方式,StreamPark 支持以下6种作业模式 > - **Standalone Session** @@ -18,22 +19,27 @@ > 本次选取较为简单的 Standalone Session 模式(**下图绿色连线**),快速上手。 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701866758725-aaef8d0d-3b27-4a24-b757-6fc89bf27bb1.png#averageHue=%23fef7f7&clientId=u508dae7f-83aa-4&from=paste&height=321&id=ub1f07d1a&originHeight=353&originWidth=637&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=15170&status=done&style=none&taskId=ub830f3d5-a13f-4408-be54-c66e24e94aa&title=&width=579.0908965394519) +![4_flink_deployment_execute_model](/doc/image/platform-usage/4_flink_deployment_execute_model.png) + ### 服务器启动 flink Standalone Session ```bash start-cluster.sh ``` -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701867004740-84622fc9-358c-46c8-b562-132636726cf8.png#averageHue=%23130d0b&clientId=u508dae7f-83aa-4&from=paste&height=90&id=u1b399168&originHeight=99&originWidth=667&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=10842&status=done&style=none&taskId=u64da2594-ef86-4e19-8280-96447d66eeb&title=&width=606.3636232210588) +![5_start_flink_standalone_session_service](/doc/image/platform-usage/5_start_flink_standalone_session_service.png) > 页面访问:[http://hadoop:8081/](http://hadoop:8081/) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701867049527-647338fb-6f96-4dfe-a7a2-3ea792fcfac5.png#averageHue=%23d4b582&clientId=u508dae7f-83aa-4&from=paste&height=633&id=u8575917a&originHeight=696&originWidth=1362&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=65746&status=done&style=none&taskId=ud6e6ad05-385f-49ef-8132-c96c0115107&title=&width=1238.1817913449506) +![6_flink_standalone_session_web_ui](/doc/image/platform-usage/6_flink_standalone_session_web_ui.png) ### 配置Flink Cluster -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701867098150-ce5504ff-23cf-4b86-b464-61de31304fe9.png#averageHue=%23caebe8&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u60189316&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=65008&status=done&style=none&taskId=u2c4d0550-9c63-440b-a0af-306bb9060c6&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701867222025-1f172c90-67df-4883-a693-4c33a2b4cdf5.png#averageHue=%23e5d4aa&clientId=u508dae7f-83aa-4&from=paste&height=592&id=ud7fd95b7&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=74234&status=done&style=none&taskId=ueb315c7d-032e-4922-88e2-80db1f57744&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701867235623-15e67397-106e-4eea-a31b-1ab48a4ee36a.png#averageHue=%23c6dec4&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u8459b711&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=76609&status=done&style=none&taskId=u81f8aad9-555e-405c-9870-9ccec762e19&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701867328125-afcae61a-0d38-4d90-b994-fb5a54a92700.png#averageHue=%23b2e1e8&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u6fa91fde&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=75740&status=done&style=none&taskId=u7c649f5b-e91c-4e5d-a7ae-e537e585e4e&title=&width=1241.8181549024982) +![7_config_flink_cluster_menu.png](/doc/image/platform-usage/7_config_flink_cluster_menu.png) + +![8_add_flink_cluster_info.png](/doc/image/platform-usage/8_add_flink_cluster_info.png) + +![9_add_flink_cluster_successfully](/doc/image/platform-usage/9_add_flink_cluster_successfully.png) + +![10_display_flink_cluster_list](/doc/image/platform-usage/10_display_flink_cluster_list.png) + ## 创建作业 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701867392714-35af5219-e80b-43a0-86b3-d1c7ce783778.png#averageHue=%23abd09d&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u0c1f94d2&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=94703&status=done&style=none&taskId=uf76bcefc-a461-4801-8d40-861be526726&title=&width=1241.8181549024982) +![11_add_flink_job_menu](/doc/image/platform-usage/11_add_flink_job_menu.png) ### 主要参数 > - Development Mode: 选择 “Flink SQL” > - Execution Mode: 选择 “remote” @@ -43,42 +49,57 @@ start-cluster.sh > - Application Name: 作业名称 ### 创建作业 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701867808970-021af1f9-d3b2-4aaa-9c2a-878d0f1a1902.png#averageHue=%23fdfdfd&clientId=u508dae7f-83aa-4&from=paste&height=227&id=u83cf46d6&originHeight=250&originWidth=951&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=12688&status=done&style=none&taskId=u5dc282b5-cf49-46a7-9834-c909bf1598e&title=&width=864.5454358069369) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701867855376-507e48ad-c3d6-462d-9057-f6dd6bafdf22.png#averageHue=%23fefefc&clientId=u508dae7f-83aa-4&from=paste&height=316&id=ud7499662&originHeight=348&originWidth=796&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=27851&status=done&style=none&taskId=u2b628d8a-5880-4e26-a282-ea52af300bd&title=&width=723.6363479519682) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701867927623-19ecc9b7-eaa3-46cd-8307-c78e61613c25.png#averageHue=%23fcfbfb&clientId=u508dae7f-83aa-4&from=paste&height=45&id=u173a7a38&originHeight=49&originWidth=860&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=3086&status=done&style=none&taskId=u0f63b121-085b-4e6b-beeb-425f78bc45d&title=&width=781.8181648727294) +![12_add_flink_job_param_1](/doc/image/platform-usage/12_add_flink_job_param_1.png) + +![13_add_flink_job_param_2](/doc/image/platform-usage/13_add_flink_job_param_2.png) + +![14_add_flink_job_param_3](/doc/image/platform-usage/14_add_flink_job_param_3.png) + ### 保存作业 > 点击 蓝色“Submit”按钮,提交作业 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701867996167-bbb92021-869c-44f5-a2ca-692e73a71b00.png#averageHue=%23e7d3ac&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u5e36bda5&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=73075&status=done&style=none&taskId=u3e6ed820-5faf-45e3-b047-bcbc0c64099&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701868099973-872ec2f0-5cb1-4b51-a85f-1b65eace2dd5.png#averageHue=%2371b577&clientId=u508dae7f-83aa-4&from=paste&height=592&id=ue2fc3b3a&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=84747&status=done&style=none&taskId=u57d8b79d-da4b-4821-9b1c-a235b6e5a76&title=&width=1241.8181549024982) +![15_save_flink_job](/doc/image/platform-usage/15_save_flink_job.png) + +![16_display_flink_job_list](/doc/image/platform-usage/16_display_flink_job_list.png) + ## 构建作业 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701868235397-958ad9f4-00ae-4f68-b044-3660eb2eab32.png#averageHue=%2371b577&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u0300908c&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=94392&status=done&style=none&taskId=u3948abb8-007c-4049-81af-2e0d455d632&title=&width=1241.8181549024982) +![17_build_flink_job](/doc/image/platform-usage/17_build_flink_job.png) > 构建成功 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701868278610-d8dcce39-b7e4-4c2d-a7f8-de7604344c8d.png#averageHue=%2347bf6c&clientId=u508dae7f-83aa-4&from=paste&height=592&id=ub164fb0c&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=88395&status=done&style=none&taskId=uc062feef-c239-4c07-92b9-483de0083a3&title=&width=1241.8181549024982) +![18_build_flink_job_successfully](/doc/image/platform-usage/18_build_flink_job_successfully.png) + ## 启动作业 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701868373274-f0245bdf-710d-4bed-a54b-c21cb8f035b0.png#averageHue=%2346bf6c&clientId=u508dae7f-83aa-4&from=paste&height=592&id=uf4727344&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=91885&status=done&style=none&taskId=u0c6f976c-57e6-4b68-bcb1-79822b846a9&title=&width=1241.8181549024982) +![19_start_flink_job](/doc/image/platform-usage/19_start_flink_job.png) + ### 启动检查点设置 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701868448163-47dc0641-1324-4c64-9416-0c1a814311e2.png#averageHue=%2349734d&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u604a9133&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=111818&status=done&style=none&taskId=u04ce718e-5023-40f0-b83c-9f8af25f7e9&title=&width=1241.8181549024982) +![20_set_checkpoint_when_start_flink_job](/doc/image/platform-usage/20_set_checkpoint_when_start_flink_job.png) + ### 提交作业 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701868491340-f0527f77-de9e-46a4-91b9-49240f27ee97.png#averageHue=%2336724b&clientId=u508dae7f-83aa-4&from=paste&height=592&id=uc310bf89&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=89656&status=done&style=none&taskId=u6b6bcc30-4321-4e01-be01-ed6e02e789e&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701868503415-f2217be4-aedf-41f3-8908-f07612307b02.png#averageHue=%237aa47b&clientId=u508dae7f-83aa-4&from=paste&height=592&id=ua9e86c08&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=89010&status=done&style=none&taskId=u7462e62f-85d8-4176-9484-74afc1a16d6&title=&width=1241.8181549024982) +![21_submit_flink_job_1](/doc/image/platform-usage/21_submit_flink_job_1.png) +![22_submit_flink_job_2](/doc/image/platform-usage/22_submit_flink_job_2.png) + ## 查看作业状态 ### 通过StreamPark看板查看 > StreamPark dashboard -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701868607586-7c146074-44b2-4d6e-9bf1-3dfbdcb235e6.png#averageHue=%2340ba5f&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u7a35cf03&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=92334&status=done&style=none&taskId=ud65567a2-f005-42d9-80b9-7bc8159cdfc&title=&width=1241.8181549024982) +![23_flink_job_dashboard](/doc/image/platform-usage/23_flink_job_dashboard.png) + > 查看作业详情 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701868728902-802a23f7-70a5-4298-9c75-a3ae0b84f5a7.png#averageHue=%235dc577&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u5d707514&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=95996&status=done&style=none&taskId=u127f6155-3953-473b-8009-73192b6801c&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701868769882-4bdadf70-860a-4cff-89e5-e86194cceb83.png#averageHue=%23e7d6ac&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u424d5cfb&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=74458&status=done&style=none&taskId=u2d8a4455-809a-49f5-b89b-37af7ef50c7&title=&width=1241.8181549024982) +![24_display_flink_job_details](/doc/image/platform-usage/24_display_flink_job_details.png) + +![25_display_flink_job_details_page](/doc/image/platform-usage/25_display_flink_job_details_page.png) + ### 查看原生 flink web ui -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701868865112-7020ed0d-4485-4084-a807-ae3b2d073031.png#averageHue=%23e7d7ae&clientId=u508dae7f-83aa-4&from=paste&height=592&id=u8fc06cdc&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=78632&status=done&style=none&taskId=uc2c455a4-7472-42b7-bbd7-cb9d9094831&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701868913249-36e1627c-3623-4484-8510-b3c8ae0286fe.png#averageHue=%23fbf8f8&clientId=u508dae7f-83aa-4&from=paste&height=585&id=u69985905&originHeight=643&originWidth=1365&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=60112&status=done&style=none&taskId=u24a40e04-9a7e-4d0c-878e-4c095f009e6&title=&width=1240.9090640131112) +![26_display_native_flink_job_web_ui](/doc/image/platform-usage/26_display_native_flink_job_web_ui.png) + +![27_display_native_flink_job_web_ui_2](/doc/image/platform-usage/27_display_native_flink_job_web_ui_2.png) + > 至此,一个使用StreamPark平台提交flink job的流程基本完成。下面简单总结下StreamPark平台管理flink作业的大致流程。 ## StreamPark平台管理flink job的流程 -![](https://cdn.nlark.com/yuque/0/2023/png/25667299/1689059673517-b7c4c5d0-ba6c-463c-9d00-6b47f2058ded.png#averageHue=%23f7f7f7&from=url&id=HZS3z&originHeight=1277&originWidth=284&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&status=done&style=none&title=) +![28_streampark_process_workflow](/doc/image/platform-usage/28_streampark_process_workflow.png) + > 通过 StreamPark 平台 停止、修改、删除 flink job 相对简单,大家可自行体验,需要说明的一点是:**若作业为running状态,则不可删除,需先停止**。 @@ -86,16 +107,19 @@ start-cluster.sh ## 系统设置 > 菜单位置 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701869730396-cc5e9115-25ae-4b56-9b6b-adaf7c581f7a.png#averageHue=%237eb974&clientId=ude539673-8688-4&from=paste&height=592&id=u48ab9556&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=95473&status=done&style=none&taskId=ud165fe17-0a07-4f52-9bc4-5095ebb108a&title=&width=1241.8181549024982) +![29_streampark_system_menu](/doc/image/platform-usage/29_streampark_system_menu.png) + ### User Management > 用于管理StreamPark平台用户 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701869792747-ece691ad-450d-423a-881e-a3cf95d5db85.png#averageHue=%23d3efe0&clientId=ude539673-8688-4&from=paste&height=592&id=ucae23f7d&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=75673&status=done&style=none&taskId=u64837473-a4fb-4f3f-87a8-c09ce186281&title=&width=1241.8181549024982) +![30_streampark_user_management_menu](/doc/image/platform-usage/30_streampark_user_management_menu.png) ### Token Management > 允许用户以Restful api形式操作flink job -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701869986067-e248e5c8-66af-457b-8a89-091bea8bcb59.png#averageHue=%239fd4df&clientId=ude539673-8688-4&from=paste&height=592&id=ue6e1315f&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=71968&status=done&style=none&taskId=uc8604d1d-3125-4492-8757-991c69a395a&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701870074415-787882b8-3c42-43de-8a53-253b0403808e.png#averageHue=%23dfc38b&clientId=ude539673-8688-4&from=paste&height=592&id=u5bf06f02&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=88690&status=done&style=none&taskId=ud6af1fa8-5760-48df-9c38-08da630d455&title=&width=1241.8181549024982) +![31_streampark_token_management_menu](/doc/image/platform-usage/31_streampark_token_management_menu.png) + +![32_streampark_token_management_menu_usage](/doc/image/platform-usage/32_streampark_token_management_menu_usage.png) + ```bash curl -X POST '/flink/app/cancel' \ -H 'Authorization: 69qMW7reOXhrAh29LjPWwwP+quFqLf++MbPbsB9/NcTCKGzZE2EU7tBUBU5gqG236VF5pMyVrsE5K7hBWiyuLuJRqmxKdPct4lbGrjZZqkv5lBBYExxYVMIl+f5MZ9dbqqslZifFx3P4A//NYgGwkx5PpizomwkE+oZOqg0+c2apU0UZ9T7Dpnu/tPLk9g5w9q+6ZS2p+rTllPiEgyBnSw==' \ @@ -109,94 +133,124 @@ curl -X POST '/flink/app/cancel' \ ### Role Management > 用户角色:目前有2种,develop 和 admin。 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701870193056-8ddf44b6-1507-4de1-aa67-5e9f97b440a8.png#averageHue=%23cceae7&clientId=ude539673-8688-4&from=paste&height=592&id=u3068ec35&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=79304&status=done&style=none&taskId=ua97f7b1a-9dbd-4cf8-a9a3-9c460caa0b5&title=&width=1241.8181549024982) +![33_streampark_role_menu](/doc/image/platform-usage/33_streampark_role_menu.png) + ### Team Management > 团队:用于区分管理企业不同团队的作业。 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701870337524-1bea85da-d3a3-40ef-ae67-c1489a2a311b.png#averageHue=%23cfeae6&clientId=ude539673-8688-4&from=paste&height=592&id=u2ca84c20&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=73012&status=done&style=none&taskId=u36356a22-ee1d-487a-a0c3-47628e44e30&title=&width=1241.8181549024982) +![34_streampark_team_menu](/doc/image/platform-usage/34_streampark_team_menu.png) + ### Member Management > (团队)成员管理 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701870382372-2fcab2b6-eced-441e-b4d7-21bae708e97a.png#averageHue=%23cfebe7&clientId=ude539673-8688-4&from=paste&height=592&id=u611844ce&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=74390&status=done&style=none&taskId=uab782425-9c08-4dab-b27b-e58a6fb4143&title=&width=1241.8181549024982) +![35_streampark_member_menu](/doc/image/platform-usage/35_streampark_member_menu.png) + ### Menu Management > 管理系统菜单 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701870426498-d3833ba2-0a63-4e7c-9392-d2aaaf930158.png#averageHue=%23e6d8af&clientId=ude539673-8688-4&from=paste&height=592&id=ucec01797&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=105805&status=done&style=none&taskId=uc25fa791-d72e-475b-8711-a4aea40c529&title=&width=1241.8181549024982) +![36_streampark_menu_management](/doc/image/platform-usage/36_streampark_menu_management.png) + ## StreamPark菜单模块 ### Project > StreamPark结合代码仓库实现CICD -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701870578776-8b7258b2-9166-4a62-b0b8-831c7805571e.png#averageHue=%23e3d7ad&clientId=ude539673-8688-4&from=paste&height=592&id=ue94ea260&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=70041&status=done&style=none&taskId=u55b88864-79ed-4bdf-950a-000c107bf46&title=&width=1241.8181549024982) +![37_streampark_project_menu](/doc/image/platform-usage/37_streampark_project_menu.png) > 使用时,点击 “+ Add new ”,配置repo信息,保存。 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701870655803-78880b40-f949-485d-bce1-025f00410aaf.png#averageHue=%23e7d1ad&clientId=ude539673-8688-4&from=paste&height=592&id=ud0253594&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=74763&status=done&style=none&taskId=u64ecddcc-ddb7-49dd-9bf9-795e95fcd10&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701870782290-ede8ca40-ed87-448e-87f5-574b11b1788d.png#averageHue=%23e3d7ac&clientId=ude539673-8688-4&from=paste&height=592&id=u8c1aaaae&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=86426&status=done&style=none&taskId=udc92294d-c367-4f3b-925e-fcb444f5a72&title=&width=1241.8181549024982) +![38_streampark_project_menu_usage_1](/doc/image/platform-usage/38_streampark_project_menu_usage_1.png) + +![39_streampark_project_menu_usage_2](/doc/image/platform-usage/39_streampark_project_menu_usage_2.png) + ### Application > **核心模块:用于对 flink job 全生命周期(创建、构建、启动、停止、删除等)管理。** -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701870859388-3579d9bd-f220-4de6-8aad-ae1912b8f100.png#averageHue=%237ab971&clientId=ude539673-8688-4&from=paste&height=592&id=uac6a72b0&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=90632&status=done&style=none&taskId=u004c6f02-0a3f-4c4e-9255-21d400d3096&title=&width=1241.8181549024982) +![40_application_menu](/doc/image/platform-usage/40_application_menu.png) ### Variable > 变量管理:管理变量,可在Application 作业创建时使用。 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701871137075-09b52c29-2b95-4214-89c5-a53a0cd54d0a.png#averageHue=%23bcefdd&clientId=ude539673-8688-4&from=paste&height=592&id=u97cc0c42&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=77057&status=done&style=none&taskId=u2e5dd4fc-3feb-4ea6-814c-e374829b481&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701871196906-40cd7e09-927c-4aa0-a15f-25eab7b39e32.png#averageHue=%23fefefc&clientId=ude539673-8688-4&from=paste&height=592&id=u15927de8&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=69482&status=done&style=none&taskId=u95933d49-fe6d-49d3-b3b7-98568ce5824&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701871206644-5046c6e1-2b54-4c17-9eb0-1d2eeea7958c.png#averageHue=%23fefefc&clientId=ude539673-8688-4&from=paste&height=592&id=uc8f9d581&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=69112&status=done&style=none&taskId=udeb4a720-2b56-4897-aa00-f4ed88233eb&title=&width=1241.8181549024982) +![41_variable_menu_usage_1](/doc/image/platform-usage/41_variable_menu_usage_1.png) + +![42_variable_menu_usage_2](/doc/image/platform-usage/42_variable_menu_usage_2.png) + +![43_variable_menu_usage_3](/doc/image/platform-usage/43_variable_menu_usage_3.png) + ### Setting #### System Setting > 用于系统配置:Maven 、 Docker 、 alert email、Ingress -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701871355164-830e7c88-a990-4152-8644-8d4adb44b98b.png#averageHue=%23e1bf8a&clientId=ude539673-8688-4&from=paste&height=592&id=ud58f84de&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=72438&status=done&style=none&taskId=u661c4b01-1481-4beb-a0e2-caeeb3071dc&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701871367549-04c17727-d231-45d5-9fb7-ffd079ee2aec.png#averageHue=%23dcc192&clientId=ude539673-8688-4&from=paste&height=592&id=u06c57811&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=74431&status=done&style=none&taskId=ufe545324-a19f-46af-a18e-5d73d86cad7&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701871379031-8ca2ed19-d072-41aa-b5f5-4c1969cde706.png#averageHue=%23dfc292&clientId=ude539673-8688-4&from=paste&height=592&id=ube3d08df&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=69906&status=done&style=none&taskId=u0e49bfb2-79b7-4594-8f8e-73036e38e38&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701871389112-d758e9b2-f737-45b4-9358-a1a4bafed7c5.png#averageHue=%23eef0d9&clientId=ude539673-8688-4&from=paste&height=592&id=u79ba5960&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=68408&status=done&style=none&taskId=ufcea0bed-b6c2-4f52-93f8-cb53d712ab2&title=&width=1241.8181549024982) +![44_system_menu_1](/doc/image/platform-usage/44_system_menu_1.png) + +![44_system_menu_2](/doc/image/platform-usage/44_system_menu_2.png) + +![44_system_menu_3](/doc/image/platform-usage/44_system_menu_3.png) + +![44_system_menu_4](/doc/image/platform-usage/44_system_menu_4.png) + #### Alert Setting > 支持多种告警通知模式 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701871432517-21d10052-9d91-4791-afbd-6764bfdd261d.png#averageHue=%23746b4f&clientId=ude539673-8688-4&from=paste&height=552&id=uc9edb12a&originHeight=607&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=73513&status=done&style=none&taskId=u3a53717d-707f-4e18-8530-26707daf4dc&title=&width=1241.8181549024982) +![48_alert_setting_menu](/doc/image/platform-usage/48_alert_setting_menu.png) + #### Flink Home > 【**待完善**】可对flink作业进行一些操作,如对flink sql校验等 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701871540452-9dc8fa48-5836-41c8-8bfb-aea542d164b7.png#averageHue=%23aadce5&clientId=ude539673-8688-4&from=paste&height=592&id=u28a070fa&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=63714&status=done&style=none&taskId=uca30e646-d21c-41c5-9846-875a84e179f&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701871563252-a88e5bbd-2938-4252-9fe0-e84806138211.png#averageHue=%23fefdfc&clientId=ude539673-8688-4&from=paste&height=592&id=u186eb58e&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=76584&status=done&style=none&taskId=uac8784bf-e91e-4b1b-85c0-3c12686303f&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701871572682-05317a4a-b891-4f2b-9aef-37f463a71555.png#averageHue=%23fefdfc&clientId=ude539673-8688-4&from=paste&height=592&id=ua8ebc29f&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=77630&status=done&style=none&taskId=u41737f60-19c9-4d0e-ba3f-ab6c6c6e272&title=&width=1241.8181549024982) +![49_flink_home_list](/doc/image/platform-usage/49_flink_home_list.png) + +![50_flink_home_usage](/doc/image/platform-usage/50_flink_home_usage.png) + +![51_flink_home_usage_2](/doc/image/platform-usage/51_flink_home_usage_2.png) + #### Flink Cluster > - Session模式执行flink作业,根据资源管理方式不同,可以分为3种:Standalone、Yarn、K8s > - 【**待完善**】应用场景:资源充足,作业之间隔离性需求不是很强的场景 > - 关于session模式,详见:[https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/deployment/overview/#session-mode](https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/deployment/overview/#session-mode) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701872377346-e1d0a693-b50d-4db1-beed-10b3c36a118f.png#averageHue=%23e7c995&clientId=u8e4d72e5-8ba3-4&from=paste&height=592&id=uf5880e15&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=75042&status=done&style=none&taskId=ufb405fb1-c59f-4933-8fc2-3ec61d84c51&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701872180505-4b7c4e5a-81d1-4c5a-8082-be5387b0e70e.png#averageHue=%23dee7de&clientId=u8e4d72e5-8ba3-4&from=paste&height=592&id=xluSx&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=81708&status=done&style=none&taskId=ub15c164d-e191-41eb-a462-30aaf233a0e&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701872205905-6a769631-388e-4f7b-86ed-4a5ab17954f3.png#averageHue=%23d5b684&clientId=u8e4d72e5-8ba3-4&from=paste&height=669&id=u892a31d8&originHeight=736&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=86821&status=done&style=none&taskId=ub4917eb4-1b9c-44fb-aafb-801a7dd16bd&title=&width=1241.8181549024982) +![52_add_flink_cluster_info](/doc/image/platform-usage/52_add_flink_cluster_info.png) + +![53_display_flink_cluster_list](/doc/image/platform-usage/53_display_flink_cluster_list.png) + +![54_visit_flink_cluster_web_ui](/doc/image/platform-usage/54_visit_flink_cluster_web_ui.png) + # 原生flink 与 StreamPark关联使用 -> 【**待完善**】其实,个人理解,StreamPark一大特点是对flink原生作业的管理模式在用户使用层面进行了优化,使得用户能快速利用该平台快速开发flink作业。所以,想表达的意思是:如果用户对原生flink比较熟悉的话,那StreamPark使用起来就会更加得心应手。 +> 【**待完善**】其实,个人理解,StreamPark一大特点是对flink原生作业的管理模式在用户使用层面进行了优化,使得用户能利用该平台快速开发、部署、运行、监控flink作业。所以,想表达的意思是:如果用户对原生flink比较熟悉的话,那StreamPark使用起来就会更加得心应手。 ## flink部署模式 > 下面内容摘自 **张利兵 老师 极客时间专栏** 《[Flink核心技术与实战](https://time.geekbang.org/course/intro/100058801)》 ### 原生flink集群部署模式 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701873666440-918aa4c9-5b2d-4cd2-b314-35dcff8c636f.png#averageHue=%23f5f3f1&clientId=u8e4d72e5-8ba3-4&from=paste&height=441&id=u3d1e0538&originHeight=485&originWidth=1077&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=135425&status=done&style=none&taskId=u12f46288-7f38-4cf2-baf2-957a65ae340&title=&width=979.0908878696856) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701873716715-a163c9b4-2cf2-49f9-acba-8518de145451.png#averageHue=%23f7f5f3&clientId=u8e4d72e5-8ba3-4&from=paste&height=465&id=u6fde72d1&originHeight=512&originWidth=1091&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=205456&status=done&style=none&taskId=ue10dc45d-3250-4d51-91e1-27d66b82c1b&title=&width=991.8181603211021) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701873733501-d8d9ef26-bbe5-4cc8-b239-8f14d9d80d5b.png#averageHue=%23f7f5f3&clientId=u8e4d72e5-8ba3-4&from=paste&height=481&id=u2413ff5f&originHeight=529&originWidth=1074&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=207480&status=done&style=none&taskId=u3118e486-fa36-4e5e-a6cd-f26166e5927&title=&width=976.3636152015249) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701873763887-33a2e0c1-87ed-4a66-85e4-2900a4f8d77f.png#averageHue=%23faede6&clientId=u8e4d72e5-8ba3-4&from=paste&height=366&id=u3ac9dd08&originHeight=403&originWidth=765&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=67786&status=done&style=none&taskId=ude338b3c-d2cb-4d94-a1d5-e76dc04d74c&title=&width=695.4545303809745) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701873781568-8b2ad65e-8d8a-43ae-8cfd-bd2456773b49.png#averageHue=%23f8ebe4&clientId=u8e4d72e5-8ba3-4&from=paste&height=363&id=uf6d9dec1&originHeight=399&originWidth=764&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=81369&status=done&style=none&taskId=uebbe9052-8919-4890-8af8-90b908459b8&title=&width=694.5454394915876) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701873800969-1f40ce6c-59a6-4905-9fa6-97dbba8dcfad.png#averageHue=%23f8f4f1&clientId=u8e4d72e5-8ba3-4&from=paste&height=362&id=ueac8c2bb&originHeight=398&originWidth=759&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=137385&status=done&style=none&taskId=ud50f6a68-d98d-45c1-a074-790c8b0b4c5&title=&width=689.999985044653) +![55_flink_deployment_difference_1](/doc/image/platform-usage/55_flink_deployment_difference_1.png) + +![55_flink_deployment_difference_2](/doc/image/platform-usage/55_flink_deployment_difference_2.png) + +![55_flink_deployment_difference_3](/doc/image/platform-usage/55_flink_deployment_difference_3.png) + +![55_flink_deployment_difference_4](/doc/image/platform-usage/55_flink_deployment_difference_4.png) + +![55_flink_deployment_difference_5](/doc/image/platform-usage/55_flink_deployment_difference_5.png) + +![55_flink_deployment_difference_6](/doc/image/platform-usage/55_flink_deployment_difference_6.png) + ### 如何在StreamPark中使用 > **Session 模式** 1. 配置 Flink Cluster -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701874428460-dfa11de5-3ba8-405b-a6e7-5057c6809b5f.png#averageHue=%23dee7de&clientId=u8e4d72e5-8ba3-4&from=paste&height=592&id=u13e0a607&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=83793&status=done&style=none&taskId=u7e16836c-c8cd-46de-83d7-70babbcad9d&title=&width=1241.8181549024982) +![61_flink_session_cluster_usage_1](/doc/image/platform-usage/61_flink_session_cluster_usage_1.png) -2. 创建作业时在 Execution Mode选择对应资源管理器的mode 和 已经建立好的Flink Cluster +2. 创建作业时在 Execution Mode选择对应资源管理器的model 和 已经建立好的Flink Cluster -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701874308819-d0fd4a90-00e9-4387-82ce-7ddb923f1791.png#averageHue=%23fdfcfa&clientId=u8e4d72e5-8ba3-4&from=paste&height=592&id=u97c0df2a&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=83664&status=done&style=none&taskId=u317c1b7f-f078-4515-90a1-6578a0be2ba&title=&width=1241.8181549024982) +![62_flink_session_cluster_usage_2](/doc/image/platform-usage/62_flink_session_cluster_usage_2.png) > **Application 模式** -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701875116219-20490ebf-055f-4a06-8f9d-4336e1fcf2d0.png#averageHue=%23fefdfb&clientId=ue3e662d7-c466-4&from=paste&height=592&id=u8ae7eb13&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=78361&status=done&style=none&taskId=u75d4b355-4112-46bd-8090-664adf3de1b&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701875231409-73c2c652-62bb-4836-88f0-4ed075084e0d.png#averageHue=%23dec891&clientId=ue3e662d7-c466-4&from=paste&height=434&id=u8084b00f&originHeight=477&originWidth=1358&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=76677&status=done&style=none&taskId=u069929cb-1f8c-4be4-ad7f-c17c42bb58b&title=&width=1234.545427787403) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701875255403-0bc53e76-3c67-4322-978f-9fa74d161d47.png#averageHue=%23ee7b61&clientId=ue3e662d7-c466-4&from=paste&height=579&id=u54a9eb9d&originHeight=637&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=58665&status=done&style=none&taskId=ub7ca7f6c-3369-4fb4-aa47-911d1de6255&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701875320467-fef60e13-e01b-4192-9633-cb95d3bab178.png#averageHue=%23fdfaf4&clientId=ue3e662d7-c466-4&from=paste&height=592&id=ub1ace1d4&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=125235&status=done&style=none&taskId=u866eeee5-d1f8-469c-8b65-ee940e1e0a7&title=&width=1241.8181549024982) +![63_flink_application_model_usage_1](/doc/image/platform-usage/63_flink_application_model_usage_1.png) + +![64_flink_application_model_usage_2](/doc/image/platform-usage/64_flink_application_model_usage_2.png) + +![65_flink_application_model_usage_3](/doc/image/platform-usage/65_flink_application_model_usage_3.png) + +![66_flink_application_model_usage_4](/doc/image/platform-usage/66_flink_application_model_usage_4.png) + ## 设置作业参数 ### 原生flink作业参数 > 官网:[https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/deployment/config/](https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/deployment/config/) @@ -211,25 +265,29 @@ flink run-application -t yarn-application \ ### 如何在StreamPark中使用 > 创建 或 修改 作业时,在“Dynamic Properties”里面按指定格式添加即可 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701876089258-10e5de58-7c72-4ea6-9f20-4bc77d480eec.png#averageHue=%23fefdfa&clientId=ue3e662d7-c466-4&from=paste&height=592&id=u7ff16829&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=68487&status=done&style=none&taskId=u91c23c08-37e3-48ba-8c20-096e900af3c&title=&width=1241.8181549024982) +![67_dynamic_params_usage](/doc/image/platform-usage/67_dynamic_params_usage.png) + ## 告警策略 > 【**待完善**】 ### 原生flink重启机制 > 参考:[https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/ops/state/task_failure_recovery/](https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/ops/state/task_failure_recovery/) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701876432388-76971547-12d6-44fd-844e-8b440fd057a0.png#averageHue=%23f6f6f6&clientId=ue3e662d7-c466-4&from=paste&height=301&id=uc0779606&originHeight=331&originWidth=775&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=33953&status=done&style=none&taskId=u25f66b7b-48df-48e0-b714-f266b7c189e&title=&width=704.5454392748434) +![68_native_flink_restart_strategy](/doc/image/platform-usage/68_native_flink_restart_strategy.png) + ### 如何在StreamPark中使用 > 【**待完善**】一般在作业失败或出现异常时,会触发告警 1. 配置告警通知 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701876529225-14488218-e051-493c-9d73-da1db30db647.png#averageHue=%23818377&clientId=ue3e662d7-c466-4&from=paste&height=592&id=ub698dbfa&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=83561&status=done&style=none&taskId=u9178cc13-1ae9-4309-9cdf-60309b45b87&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701876566596-7f44514e-8e86-4ada-819e-958fcd93df9f.png#averageHue=%231c4155&clientId=ue3e662d7-c466-4&from=paste&height=592&id=u296c7631&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=67099&status=done&style=none&taskId=u52cff079-b66d-4203-a9a3-96351a2aa26&title=&width=1241.8181549024982) +![69_streampark_alert_settings_1](/doc/image/platform-usage/69_streampark_alert_settings_1.png) + +![70_streampark_alert_settings_2](/doc/image/platform-usage/70_streampark_alert_settings_2.png) 2. 创建 或 修改 作业时,在"Fault Alert Template"、“CheckPoint Failure Options”里面配置即可 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701876673669-9dfb9763-aa4a-4f7a-bab5-d64eaa64ca09.png#averageHue=%23fcf8f7&clientId=ue3e662d7-c466-4&from=paste&height=592&id=ub140e92a&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=97946&status=done&style=none&taskId=u75d45170-c99f-4ac9-bbaa-93737963fcc&title=&width=1241.8181549024982) +![71_streampark_alert_usage](/doc/image/platform-usage/71_streampark_alert_usage.png) + ## cp/sp > 【**待完善**】 @@ -238,28 +296,35 @@ flink run-application -t yarn-application \ > sp: [https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/ops/state/savepoints/](https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/ops/state/savepoints/) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701876975740-35c5222f-0c93-4b93-9b13-9c515594736d.png#averageHue=%23f8f8f9&clientId=ue3e662d7-c466-4&from=paste&height=92&id=ub6300b85&originHeight=101&originWidth=805&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=6058&status=done&style=none&taskId=u56e4c436-3f9a-45bc-8684-38e358547d5&title=&width=731.8181659564502) +![72_native_flink_save_checkpoint_gramma](/doc/image/platform-usage/72_native_flink_save_checkpoint_gramma.png) ### 如何在StreamPark中配置savepoint > 当停止作业时,可以让用户设置savepoint -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701877142502-e6a7547b-37ec-4165-819d-be351ff33776.png#averageHue=%235f704b&clientId=ue3e662d7-c466-4&from=paste&height=592&id=udbb52439&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=107963&status=done&style=none&taskId=ua898afc2-d20a-49a5-aede-63a055faff7&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701877197445-fa42404d-5ca7-411b-8636-1431d854f57e.png#averageHue=%2361714d&clientId=ue3e662d7-c466-4&from=paste&height=592&id=u46e38c5a&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=110078&status=done&style=none&taskId=ue92bad7b-d292-4ebe-8945-1f4f3b9f389&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701877259734-40be92e5-11a0-4dec-851e-de61f36e6bd3.png#averageHue=%231b0d0a&clientId=ue3e662d7-c466-4&from=paste&height=88&id=uc9fead3f&originHeight=97&originWidth=1240&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=18758&status=done&style=none&taskId=u3582970a-6a83-46ce-8a23-bb81f79105f&title=&width=1127.2727028397494) +![73_streampark_save_checkpoint](/doc/image/platform-usage/73_streampark_save_checkpoint.png) + +![74_streampark_set_checkpoint_location](/doc/image/platform-usage/74_streampark_set_checkpoint_location.png) + +![75_streampark_save_checkpoint_log](/doc/image/platform-usage/75_streampark_save_checkpoint_log.png) + > 查看savepoint -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701877333017-85f8526c-ac49-49d1-88cc-ff7bed8d7215.png#averageHue=%230b0907&clientId=ue3e662d7-c466-4&from=paste&height=86&id=u38289182&originHeight=95&originWidth=1222&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=14106&status=done&style=none&taskId=ud361fb51-8b87-4248-ad92-df90178f0e6&title=&width=1110.9090668307854) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701877358466-4449b0bb-63c4-46ee-860f-7a499b7c6b7f.png#averageHue=%23fbfbfa&clientId=ue3e662d7-c466-4&from=paste&height=425&id=uae84cc25&originHeight=468&originWidth=1338&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=46683&status=done&style=none&taskId=u7675ff13-dc05-4eb7-ade2-2252a27c429&title=&width=1216.3636099996652) +![76_show_checkpoint_file_name](/doc/image/platform-usage/76_show_checkpoint_file_name.png) + +![77_show_checkpoint_file_name_2](/doc/image/platform-usage/77_show_checkpoint_file_name_2.png) + ### 如何在StreamPark中由指定savepoint恢复作业 > 启动作业时,会让选择 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701877487136-f1fa37c0-01b0-4367-884c-01c6660c41fc.png#averageHue=%236f7856&clientId=ue3e662d7-c466-4&from=paste&height=592&id=u24094096&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=105680&status=done&style=none&taskId=u8119aa25-2c0a-43a4-9ea8-dbf7ebb01c3&title=&width=1241.8181549024982) +![78_usage_checkpoint_in_streampark](/doc/image/platform-usage/78_usage_checkpoint_in_streampark.png) + ## 作业状态 > 【**待完善**】 ### 原生flink 作业状态 > 参考:[https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/internals/job_scheduling/#jobmanager-%e6%95%b0%e6%8d%ae%e7%bb%93%e6%9e%84](https://nightlies.apache.org/flink/flink-docs-release-1.14/zh/docs/internals/job_scheduling/#jobmanager-%e6%95%b0%e6%8d%ae%e7%bb%93%e6%9e%84) -![](https://cdn.nlark.com/yuque/0/2023/svg/25667299/1701878186642-769081d2-ba63-4537-910b-a4a5ccc4d063.svg#clientId=ufa1f3925-b25b-4&from=paste&id=ufe6ee564&originHeight=831&originWidth=907&originalType=url&ratio=1.100000023841858&rotation=0&showTitle=false&status=done&style=none&taskId=u0f1b1702-36be-4a1b-a0b4-e6bbe181119&title=) +![79_native_flink_job_status](/doc/image/platform-usage/79_native_flink_job_status.svg) + ### StreamPark中的作业状态 > 【**待完善**】 @@ -268,12 +333,15 @@ flink run-application -t yarn-application \ ### 原生flink作业详情 > 通过 “[Apache Flink Dashboard](http://hadoop:8088/proxy/application_1701871016253_0004/#/)”查看 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701878504924-93a7ca25-899a-4131-a733-7460fb95cbe0.png#averageHue=%23fbfbfa&clientId=ufa1f3925-b25b-4&from=paste&height=592&id=u14757198&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=62321&status=done&style=none&taskId=ue26645aa-3b17-48b2-8910-443c37d5cb5&title=&width=1241.8181549024982) +![80_native_flink_job_details_page](/doc/image/platform-usage/80_native_flink_job_details_page.png) + ### StreamPark中作业详情 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701878650894-f350856c-dc12-4b2b-ab05-05da64ac4039.png#averageHue=%23e0c58a&clientId=ufa1f3925-b25b-4&from=paste&height=592&id=u09104a43&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=97145&status=done&style=none&taskId=u8a1c250d-e510-49b3-935c-749eed1b2af&title=&width=1241.8181549024982) +![81_streampark_flink_job_details_page](/doc/image/platform-usage/81_streampark_flink_job_details_page.png) + > 同时在k8s模式下的作业,StreamPark还支持启动日志实时展示,如下 -![](https://cdn.nlark.com/yuque/0/2023/png/25667299/1688702730199-a4df5585-778e-4d54-8436-43adc1757d26.png#averageHue=%23fafbf9&from=url&id=wH2uH&originHeight=866&originWidth=1920&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&status=done&style=none&title=) +![82_streampark_flink_job_starting_log_info](/doc/image/platform-usage/82_streampark_flink_job_starting_log_info.png) + ## 如何与第三方系统集成 ### 原生flink如何与第三方系统集成 > 原生flink提供了 rest api @@ -283,5 +351,5 @@ flink run-application -t yarn-application \ > 也提供了Restful Api,支持与其他系统对接, > 比如:开启作业 启动|停止 restapi 接口 -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701879294725-d725ee5d-5c36-4dc8-9a47-f08295dd858b.png#averageHue=%23e5d4a6&clientId=ufa1f3925-b25b-4&from=paste&height=592&id=uc829a64b&originHeight=651&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=80186&status=done&style=none&taskId=u1bcd5cd0-27f6-46a3-9b41-bd35b8bafc9&title=&width=1241.8181549024982) -![image.png](https://cdn.nlark.com/yuque/0/2023/png/25667299/1701879311145-5555735e-a4fc-48a8-aab1-9ebc6e23faf4.png#averageHue=%23ceb990&clientId=ufa1f3925-b25b-4&from=paste&height=631&id=u4d3c6b7c&originHeight=694&originWidth=1366&originalType=binary&ratio=1.100000023841858&rotation=0&showTitle=false&size=88808&status=done&style=none&taskId=udacca9ce-37fd-4fa3-bf9d-770ef0a9dd1&title=&width=1241.8181549024982) +![83_streampark_restful_api_1](/doc/image/platform-usage/83_streampark_restful_api_1.png) 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