Apache DolphinScheduler 是一个分布式去中心化，易扩展的可视化 DAG 工作流任务调度系统。致力于解决数据处理流程中错综复杂的依赖关系，使调度系统在数据处理流程中开箱即用。

近日，伯毅同学给社区贡献了工作流核心表结构的剖析文章，非常细致，喜欢的伙伴请转走

1. 工作流总体存储结构

在 dolphinscheduler 库中创建的所有工作流定义(模板)都保存在 t_ds_process_definition 表中.

该数据库表结构如下表所示:

其中 process_definition_json 字段为核心字段, 定义了 DAG 图中的任务信息.该数据以JSON 的方式进行存储.

公共的数据结构如下表:

数据示例:

{
    "globalParams":[
        {
            "prop":"golbal_bizdate",
            "direct":"IN",
            "type":"VARCHAR",
            "value":"${system.biz.date}"
        }
    ],
    "tasks":Array[1],
    "tenantId":0,
    "timeout":0
}

2. 各任务类型存储结构详解

2.1 Shell 节点

** Shell 节点数据结构如下:**

Shell 节点数据样例:

{
    "type":"SHELL",
    "id":"tasks-80760",
    "name":"Shell Task",
    "params":{
        "resourceList":[
            {
                "id":3,
                "name":"run.sh",
                "res":"run.sh"
            }
        ],
        "localParams":[
        ],
        "rawScript":"echo "This is a shell script""
    },
    "description":"",
    "runFlag":"NORMAL",
    "conditionResult":{
        "successNode":[
            ""
        ],
        "failedNode":[
            ""
        ]
    },
    "dependence":{
    },
    "maxRetryTimes":"0",
    "retryInterval":"1",
    "timeout":{
        "strategy":"",
        "interval":null,
        "enable":false
    },
    "taskInstancePriority":"MEDIUM",
    "workerGroup":"default",
    "preTasks":[
    ]
}

2.2 SQL节点

通过 SQL 对指定的数据源进行数据查询、更新操作.

** SQL 节点数据结构如下:**

** SQL 节点数据样例:**

{
    "type":"SQL",
    "id":"tasks-95648",
    "name":"SqlTask-Query",
    "params":{
        "type":"MYSQL",
        "datasource":1,
        "sql":"select id , namge , age from emp where id =  ${id}",
        "udfs":"",
        "sqlType":"0",
        "title":"xxxx@xxx.com",
        "receivers":"xxxx@xxx.com",
        "receiversCc":"",
        "showType":"TABLE",
        "localParams":[
            {
                "prop":"id",
                "direct":"IN",
                "type":"INTEGER",
                "value":"1"
            }
        ],
        "connParams":"",
        "preStatements":[
            "insert into emp ( id,name ) value (1,‘Li‘ )"
        ],
        "postStatements":[
        ]
    },
    "description":"",
    "runFlag":"NORMAL",
    "conditionResult":{
        "successNode":[
            ""
        ],
        "failedNode":[
            ""
        ]
    },
    "dependence":{
    },
    "maxRetryTimes":"0",
    "retryInterval":"1",
    "timeout":{
        "strategy":"",
        "interval":null,
        "enable":false
    },
    "taskInstancePriority":"MEDIUM",
    "workerGroup":"default",
    "preTasks":[
    ]
}

2.3 Spark 节点

** Spark 节点数据结构如下:**

** Spark 节点数据样例:**

{
    "type":"SPARK",
    "id":"tasks-87430",
    "name":"SparkTask",
    "params":{
        "mainClass":"org.apache.spark.examples.SparkPi",
        "mainJar":{
            "id":4
        },
        "deployMode":"cluster",
        "resourceList":[
            {
                "id":3,
                "name":"run.sh",
                "res":"run.sh"
            }
        ],
        "localParams":[
        ],
        "driverCores":1,
        "driverMemory":"512M",
        "numExecutors":2,
        "executorMemory":"2G",
        "executorCores":2,
        "mainArgs":"10",
        "others":"",
        "programType":"SCALA",
        "sparkVersion":"SPARK2"
    },
    "description":"",
    "runFlag":"NORMAL",
    "conditionResult":{
        "successNode":[
            ""
        ],
        "failedNode":[
            ""
        ]
    },
    "dependence":{
    },
    "maxRetryTimes":"0",
    "retryInterval":"1",
    "timeout":{
        "strategy":"",
        "interval":null,
        "enable":false
    },
    "taskInstancePriority":"MEDIUM",
    "workerGroup":"default",
    "preTasks":[
    ]
}

2.4 MapReduce(MR)节点

** MapReduce(MR) 节点数据结构如下:**

** MapReduce(MR) 节点数据样例:**

{
    "type":"MR",
    "id":"tasks-28997",
    "name":"MRTask",
    "params":{
        "mainClass":"wordcount",
        "mainJar":{
            "id":5
        },
        "resourceList":[
            {
                "id":3,
                "name":"run.sh",
                "res":"run.sh"
            }
        ],
        "localParams":[
        ],
        "mainArgs":"/tmp/wordcount/input /tmp/wordcount/output/",
        "others":"",
        "programType":"JAVA"
    },
    "description":"",
    "runFlag":"NORMAL",
    "conditionResult":{
        "successNode":[
            ""
        ],
        "failedNode":[
            ""
        ]
    },
    "dependence":{
    },
    "maxRetryTimes":"0",
    "retryInterval":"1",
    "timeout":{
        "strategy":"",
        "interval":null,
        "enable":false
    },
    "taskInstancePriority":"MEDIUM",
    "workerGroup":"default",
    "preTasks":[
    ]
}

2.5 Python节点

** Python 节点数据结构如下:**

Python节点数据样例:

{
    "type":"PYTHON",
    "id":"tasks-5463",
    "name":"Python Task",
    "params":{
        "resourceList":[
            {
                "id":3,
                "name":"run.sh",
                "res":"run.sh"
            }
        ],
        "localParams":[
        ],
        "rawScript":"print("This is a python script")"
    },
    "description":"",
    "runFlag":"NORMAL",
    "conditionResult":{
        "successNode":[
            ""
        ],
        "failedNode":[
            ""
        ]
    },
    "dependence":{
    },
    "maxRetryTimes":"0",
    "retryInterval":"1",
    "timeout":{
        "strategy":"",
        "interval":null,
        "enable":false
    },
    "taskInstancePriority":"MEDIUM",
    "workerGroup":"default",
    "preTasks":[
    ]
}

2.6 Flink节点

Flink 节点数据结构如下:

** Flink 节点数据样例:**

{
    "type":"FLINK",
    "id":"tasks-17135",
    "name":"FlinkTask",
    "params":{
        "mainClass":"com.flink.demo",
        "mainJar":{
            "id":6
        },
        "deployMode":"cluster",
        "resourceList":[
            {
                "id":3,
                "name":"run.sh",
                "res":"run.sh"
            }
        ],
        "localParams":[
        ],
        "slot":1,
        "taskManager":"2",
        "jobManagerMemory":"1G",
        "taskManagerMemory":"2G",
        "executorCores":2,
        "mainArgs":"100",
        "others":"",
        "programType":"SCALA"
    },
    "description":"",
    "runFlag":"NORMAL",
    "conditionResult":{
        "successNode":[
            ""
        ],
        "failedNode":[
            ""
        ]
    },
    "dependence":{
    },
    "maxRetryTimes":"0",
    "retryInterval":"1",
    "timeout":{
        "strategy":"",
        "interval":null,
        "enable":false
    },
    "taskInstancePriority":"MEDIUM",
    "workerGroup":"default",
    "preTasks":[
    ]
}

2.7 Http 节点

Http 节点数据结构如下:

** Http 节点数据样例:**

{
    "type":"HTTP",
    "id":"tasks-60499",
    "name":"HttpTask",
    "params":{
        "localParams":[
        ],
        "httpParams":[
            {
                "prop":"id",
                "httpParametersType":"PARAMETER",
                "value":"1"
            },
            {
                "prop":"name",
                "httpParametersType":"PARAMETER",
                "value":"Bo"
            }
        ],
        "url":"https://www.xxxxx.com:9012",
        "httpMethod":"POST",
        "httpCheckCondition":"STATUS_CODE_DEFAULT",
        "condition":""
    },
    "description":"",
    "runFlag":"NORMAL",
    "conditionResult":{
        "successNode":[
            ""
        ],
        "failedNode":[
            ""
        ]
    },
    "dependence":{
    },
    "maxRetryTimes":"0",
    "retryInterval":"1",
    "timeout":{
        "strategy":"",
        "interval":null,
        "enable":false
    },
    "taskInstancePriority":"MEDIUM",
    "workerGroup":"default",
    "preTasks":[
    ]
}

2.8 DataX节点

** DataX 节点数据结构如下:**

DataX 节点数据样例:

{
    "type":"DATAX",
    "id":"tasks-91196",
    "name":"DataxTask-DB",
    "params":{
        "customConfig":0,
        "dsType":"MYSQL",
        "dataSource":1,
        "dtType":"MYSQL",
        "dataTarget":1,
        "sql":"select id, name ,age from user ",
        "targetTable":"emp",
        "jobSpeedByte":524288,
        "jobSpeedRecord":500,
        "preStatements":[
            "truncate table emp "
        ],
        "postStatements":[
            "truncate table user"
        ]
    },
    "description":"",
    "runFlag":"NORMAL",
    "conditionResult":{
        "successNode":[
            ""
        ],
        "failedNode":[
            ""
        ]
    },
    "dependence":{
    },
    "maxRetryTimes":"0",
    "retryInterval":"1",
    "timeout":{
        "strategy":"",
        "interval":null,
        "enable":false
    },
    "taskInstancePriority":"MEDIUM",
    "workerGroup":"default",
    "preTasks":[
    ]
}

2.9 Sqoop节点

Sqoop 节点数据结构如下:

Sqoop 节点数据样例:

{
            "type":"SQOOP",
            "id":"tasks-82041",
            "name":"Sqoop Task",
            "params":{
                "concurrency":1,
                "modelType":"import",
                "sourceType":"MYSQL",
                "targetType":"HDFS",
                "sourceParams":"{"srcType":"MYSQL","srcDatasource":1,"srcTable":"","srcQueryType":"1","srcQuerySql":"selec id , name from user","srcColumnType":"0","srcColumns":"","srcConditionList":[],"mapColumnHive":[{"prop":"hivetype-key","direct":"IN","type":"VARCHAR","value":"hivetype-value"}],"mapColumnJava":[{"prop":"javatype-key","direct":"IN","type":"VARCHAR","value":"javatype-value"}]}",
                "targetParams":"{"targetPath":"/user/hive/warehouse/ods.db/user","deleteTargetDir":false,"fileType":"--as-avrodatafile","compressionCodec":"snappy","fieldsTerminated":",","linesTerminated":"@"}",
                "localParams":[
                ]
            },
            "description":"",
            "runFlag":"NORMAL",
            "conditionResult":{
                "successNode":[
                    ""
                ],
                "failedNode":[
                    ""
                ]
            },
            "dependence":{
            },
            "maxRetryTimes":"0",
            "retryInterval":"1",
            "timeout":{
                "strategy":"",
                "interval":null,
                "enable":false
            },
            "taskInstancePriority":"MEDIUM",
            "workerGroup":"default",
            "preTasks":[
            ]
        }

2.10 条件分支节点

条件分支节点数据结构如下:

条件分支节点数据样例:

{
    "type":"CONDITIONS",
    "id":"tasks-96189",
    "name":"条件",
    "params":{
    },
    "description":"",
    "runFlag":"NORMAL",
    "conditionResult":{
        "successNode":[
            "test04"
        ],
        "failedNode":[
            "test05"
        ]
    },
    "dependence":{
        "relation":"AND",
        "dependTaskList":[
        ]
    },
    "maxRetryTimes":"0",
    "retryInterval":"1",
    "timeout":{
        "strategy":"",
        "interval":null,
        "enable":false
    },
    "taskInstancePriority":"MEDIUM",
    "workerGroup":"default",
    "preTasks":[
        "test01",
        "test02"
    ]
}

2.11子流程节点

子流程节点数据结构如下:

子流程节点数据样例:

{
            "type":"SUB_PROCESS",
            "id":"tasks-14806",
            "name":"SubProcessTask",
            "params":{
                "processDefinitionId":2
            },
            "description":"",
            "runFlag":"NORMAL",
            "conditionResult":{
                "successNode":[
                    ""
                ],
                "failedNode":[
                    ""
                ]
            },
            "dependence":{
            },
            "timeout":{
                "strategy":"",
                "interval":null,
                "enable":false
            },
            "taskInstancePriority":"MEDIUM",
            "workerGroup":"default",
            "preTasks":[
            ]
        }

2.12 依赖(DEPENDENT)节点

依赖(DEPENDENT)节点数据结构如下:

依赖(DEPENDENT)节点数据样例:

{
            "type":"DEPENDENT",
            "id":"tasks-57057",
            "name":"DenpendentTask",
            "params":{
            },
            "description":"",
            "runFlag":"NORMAL",
            "conditionResult":{
                "successNode":[
                    ""
                ],
                "failedNode":[
                    ""
                ]
            },
            "dependence":{
                "relation":"AND",
                "dependTaskList":[
                    {
                        "relation":"AND",
                        "dependItemList":[
                            {
                                "projectId":1,
                                "definitionId":7,
                                "definitionList":[
                                    {
                                        "value":8,
                                        "label":"MRTask"
                                    },
                                    {
                                        "value":7,
                                        "label":"FlinkTask"
                                    },
                                    {
                                        "value":6,
                                        "label":"SparkTask"
                                    },
                                    {
                                        "value":5,
                                        "label":"SqlTask-Update"
                                    },
                                    {
                                        "value":4,
                                        "label":"SqlTask-Query"
                                    },
                                    {
                                        "value":3,
                                        "label":"SubProcessTask"
                                    },
                                    {
                                        "value":2,
                                        "label":"Python Task"
                                    },
                                    {
                                        "value":1,
                                        "label":"Shell Task"
                                    }
                                ],
                                "depTasks":"ALL",
                                "cycle":"day",
                                "dateValue":"today"
                            }
                        ]
                    },
                    {
                        "relation":"AND",
                        "dependItemList":[
                            {
                                "projectId":1,
                                "definitionId":5,
                                "definitionList":[
                                    {
                                        "value":8,
                                        "label":"MRTask"
                                    },
                                    {
                                        "value":7,
                                        "label":"FlinkTask"
                                    },
                                    {
                                        "value":6,
                                        "label":"SparkTask"
                                    },
                                    {
                                        "value":5,
                                        "label":"SqlTask-Update"
                                    },
                                    {
                                        "value":4,
                                        "label":"SqlTask-Query"
                                    },
                                    {
                                        "value":3,
                                        "label":"SubProcessTask"
                                    },
                                    {
                                        "value":2,
                                        "label":"Python Task"
                                    },
                                    {
                                        "value":1,
                                        "label":"Shell Task"
                                    }
                                ],
                                "depTasks":"SqlTask-Update",
                                "cycle":"day",
                                "dateValue":"today"
                            }
                        ]
                    }
                ]
            },
            "maxRetryTimes":"0",
            "retryInterval":"1",
            "timeout":{
                "strategy":"",
                "interval":null,
                "enable":false
            },
            "taskInstancePriority":"MEDIUM",
            "workerGroup":"default",
            "preTasks":[
            ]
        }

DolphinScheduler 社区介绍：

Apache DolphinScheduler 是一个非常多样化的社区，至今贡献者已近100名， 他们分别来自 30 多家不同的公司。 微信群用户3000人。

Apache DolphinScheduler 部分用户案例(排名不分先后)

已经有300多家企业和科研机构在使用DolphinScheduler，来处理各类调度和定时任务，另有500多家公司开通了海豚调度的试用：

Apache DolphinScheduler项目起源 - 需求决定

Apache DolphinScheduler四大特性

Apache DolphinScheduler 能力:

• 以DAG图的方式将Task按照任务的依赖关系关联起来，可实时可视化监控任务的运行状态

• 支持丰富的任务类型：Shell、MR、Spark、Flink、SQL(mysql、postgresql、hive、sparksql)、Python、Http、Sub_Process、Procedure等

• 支持工作流定时调度、依赖调度、手动调度、手动暂停/停止/恢复，同时支持失败重试/告警、从指定节点恢复失败、Kill任务等操作

• 支持工作流优先级、任务优先级及任务的故障转移及任务超时告警/失败

• 支持工作流全局参数及节点自定义参数设置

• 支持资源文件的在线上传/下载，管理等，支持在线文件创建、编辑

• 支持任务日志在线查看及滚动、在线下载日志等

• 实现集群HA，通过Zookeeper实现Master集群和Worker集群去中心化

• 支持对Master/Worker cpu load，memory，cpu在线查看

• 支持工作流运行历史树形/甘特图展示、支持任务状态统计、流程状态统计

• 支持补数

• 支持多租户

• 支持国际化

Apache DolphinScheduler 1.3 新特性

* Worker实现重构，提升Worker性能

* Master和Worker引入Netty通信

* 去zookeeper任务队列

* Worker节点的三种选择：随机、循环和CPU和内存的线性加权负载平衡

* Worker去数据库操作

* 资源中心支持多目录

* 添加 if/else 条件任务

* 添加 sqoop/datax 任务

* 支持 k8s 部署

* 添加DAG流程图一键格式化

* 流程图美化

* 支持 ambari 插件安装

* 批量导出和导入工作流

* 流程定义支持复制

* 大幅简化配置项，简化部署

在线DEMO试用

http://106.75.43.194:8888/

DolphinScheduler Slogan

加入 Apache DolphinScheduler

在使用 DolphinScheduler 的过程中，如果您有任何问题或者想法、建议，都可以通过Apache 邮件列表参与到 DolphinScheduler 的社区建设中来。

欢迎加入贡献的队伍，加入开源社区从提交第一个 PR开始,

• 找到带有”easy to fix”标记或者一些非常简单的issue(比如拼写错误等)，先通过第一个PR熟悉提交流程，如果有任何疑问，欢迎联系
  

本文由博客群发一文多发等运营工具平台 OpenWrite 发布

Apache DolphinScheduler(海豚调度) - 1.3 系列核心表结构剖析