大数据基础之Azkaban(1)简介、源代码解析
Azkaban3.45
一 简介
1 官网
Azkaban was implemented at LinkedIn to solve the problem of Hadoop job dependencies. We had jobs that needed to run in order, from ETL jobs to data analytics products.
Initially a single server solution, with the increased number of Hadoop users over the years, Azkaban has evolved to be a more robust solution.
Azkaban是由LinkedIn为了解决Hadoop环境下任务依赖问题而开发的,LinkedIn团队有很多任务需要按照顺序运行,包括ETL任务以及数据分析任务;
Azkaban一开始是单server方案,现在已经演化为一个更健壮的方案;(可惜当前版本的WebServer还是单点)
Azkaban consists of 3 key components:
- Relational Database (MySQL)
- AzkabanWebServer
- AzkabanExecutorServer
Azkaban有3个核心组件:Mysql、WebServer、ExecutorServer;
2 部署
3 数据库表结构
projects:项目
project_flows:工作流定义
execution_flows:工作流实例
execution_jobs:任务实例
triggers:调度定义
ps:表中很多数据都是编码的,enc_type是编码类型(对应的枚举为EncodingType),2是gzip编码,其他为无编码,2需要调用GZIPUtils.transformBytesToObject解析得到原始字符串;
4 概念
l Job:最小的执行单元,作为DAG的一个结点,即任务
l Flow:由多个Job组成,并通过dependent配置Job的依赖属性,即工作流
l Tirgger:根据指定Cron信息触发Flow,即调度
二 代码解析
1 启动过程
Web Server
AzkabanWebServer.main
launch
prepareAndStartServer
configureRoutes
TriggerManager.start
FlowTriggerService.start
recoverIncompleteTriggerInstances
SELECT %s FROM execution_dependencies WHERE trigger_instance_id in (SELECT trigger_instance_id FROM execution_dependencies WHERE dep_status = %s or dep_status = %s or (dep_status = %s and flow_exec_id = %s))
FlowTriggerScheduler.start
ExecutorManager
setupExecutors
loadRunningFlows
QueueProcessorThread.run
ExecutingManagerUpdaterThread.run
Executor Server
AzkabanExecutorServer.main
launch
AzkabanExecutorServer.start
insertExecutorEntryIntoDB
2 工作流执行过程
Web Server两个入口:
ExecuteFlowAction.doAction
ExecutorServlet.ajaxExecuteFlow
Web Server分配任务:
ExecutorManager.submitExecutableFlow
JdbcExecutorLoader.uploadExecutableFlow
INSERT INTO execution_flows (project_id, flow_id, version, status, submit_time, submit_user, update_time) values (?,?,?,?,?,?,?)
ExecutorLoader.addActiveExecutableReference
INSERT INTO active_executing_flows (exec_id, update_time) values (?,?)
queuedFlows.enqueue
QueueProcessorThread.run
processQueuedFlows
ExecutorManager.selectExecutorAndDispatchFlow (get from queuedFlows)
selectExecutor
dispatch
JdbcExecutorLoader.assignExecutor
UPDATE execution_flows SET executor_id=? where exec_id=?
ExecutorApiGateway.callWithExecutable (调用Executor Server)
Executor Server执行任务:
ExecutorServlet.doGet
handleAjaxExecute
FlowRunnerManager.submitFlow
JdbcExecutorLoader.fetchExecutableFlow
SELECT exec_id, enc_type, flow_data FROM execution_flows WHERE exec_id=?
FlowPreparer.setup
FlowRunner.run
setupFlowExecution
updateFlow
UPDATE execution_flows SET status=?,update_time=?,start_time=?,end_time=?,enc_type=?,flow_data=? WHERE exec_id=?
runFlow
progressGraph
runReadyJob
runExecutableNode
JobRunner.run
uploadExecutableNode
INSERT INTO execution_jobs (exec_id, project_id, version, flow_id, job_id, start_time, end_time, status, input_params, attempt) VALUES (?,?,?,?,?,?,?,?,?,?)
prepareJob
runJob
Job.run (ProcessJob, JavaJob)
Web Server轮询流程状态:
ExecutingManagerUpdaterThread.run
getFlowToExecutorMap
ExecutorApiGateway.callWithExecutionId
updateExecution
3 调度执行过程
TriggerManager.start
loadTriggers
SELECT trigger_id, trigger_source, modify_time, enc_type, data FROM triggers
TriggerScannerThread.start
checkAllTriggers
onTriggerTrigger
TriggerAction.doAction
ExecuteFlowAction.doAction
PS:还有另一套完全独立的定时任务逻辑,通过azkaban.server.schedule.enable_quartz控制(默认false),以下为register job到quartz:
ProjectManagerServlet.ajaxHandleUpload
SELECT id, name, active, modified_time, create_time, version, last_modified_by, description, enc_type, settings_blob FROM projects WHERE name=? AND active=true
ProjectManager.loadAllProjectFlows
SELECT project_id, version, flow_id, modified_time, encoding_type, json FROM project_flows WHERE project_id=? AND version=?
FlowTriggerScheduler.scheduleAll
SELECT MAX(flow_version) FROM project_flow_files WHERE project_id=? AND project_version=? AND flow_name=?
SELECT flow_file FROM project_flow_files WHERE project_id=? AND project_version=? AND flow_name=? AND flow_version=?
registerJob
以下为quartz job执行:
FlowTriggerQuartzJob.execute
FlowTriggerService.startTrigger
TriggerInstanceProcessor.processSucceed
TriggerInstanceProcessor.executeFlowAndUpdateExecID
ExecutorManager.submitExecutableFlow
4 任务执行过程
Job是任务的核心接口,所有具体任务都是该接口的子类:
Job
AbstractJob
AbstractProcessJob
ProcessJob (Shell任务)
JavaProcessJob (Java任务)
JavaJob
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