目录

• job配置
• Node First测试
• Parallel测试
• Sequential测试
• 并行测试结果
• job执行线程监控
• 总结

job配置

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Workflow : 配置了5个step

节点配置:

接下来，基于两个节点，调整Workflow中的Strategy，配置Thread Count，以及配置Orchestrator中Random Subset进行job的并行测试。

Node First测试

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• Thread count = 1，Orchestrator = None，logout为:

  
  

• Thread count = 1，Orchestrator = 1，logout为:

  
  

• Thread count = 1，Orchestrator = 2，logout为:

  
  

• Thread count = 2，Orchestrator = None，logout为:

  
  

• Thread count = 2，Orchestrator = 1，logout为:

  
  

• Thread count = 2，Orchestrator = 2，logout为:

  
  

Parallel测试

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• Thread count = 1，Orchestrator = None，logout为:

  
  

• Thread count = 1，Orchestrator = 1，logout为:

  
  

• Thread count = 1，Orchestrator = 2，logout为:

  
  

• Thread count = 2，Orchestrator = None，logout为:

  
  

• Thread count = 2，Orchestrator = 1，logout为:

  
  

• Thread count = 2，Orchestrator = 2，logout为:

  
  

Sequential测试

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• Thread count = 1，Orchestrator = None，logout为:

  
  

• Thread count = 1，Orchestrator = 1，logout为:

  
  

• Thread count = 1，Orchestrator = 2，logout为:

  
  

• Thread count = 2，Orchestrator = None，logout为:

  
  

• Thread count = 2，Orchestrator = 1，logout为:

  
  

• Thread count = 2，Orchestrator = 2，logout为:

  
  

并行测试结果

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Strategy	Thread Count	Random Subset	执行时间(s)	完成任务的节点	Step顺序执行
Node First	1	None	25	node1, node2	Y
Node First	1	1	12	node1	Y
Node First	1	2	25	node1, node2	Y
Node First	2	None	12	node1, node2	Y
Node First	2	1	12	node2	Y
Node First	2	2	12	node1, node2	Y
Parallel	1	None	15	node1, node2	N
Parallel	1	1	8	node1	N
Parallel	1	2	14	node1, node2	N
Parallel	2	None	8	node1, node2	N
Parallel	2	1	8	node1	N
Parallel	2	2	8	node1, node2	N
Sequential	1	None	24	node1, node2	Y
Sequential	1	1	24	node2	Y
Sequential	1	2	25	node1, node2	Y
Sequential	2	None	12	node1, node2	Y
Sequential	2	1	12	node1	Y
Sequential	2	2	12	node1, node2	Y

job执行线程监控

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job配置:

job线程运行情况:

总结

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• 在Orchestrator不做选择时，默认按照节点名排序执行，可选择排序方式
• 在Orchestrator中Random Subset选择 <b>1</b> 时，job最终只在一个节点执行，与采用哪种形式的Strategy，和Thread Count无关
• 即使在Node First模式下，调整Orchestrator节点数和Thread Count，可以实现节点的并行执行
• Parallel执行，是job中Step并行执行，即step执行不会按照step顺序执行
• Sequential方式，每个Step按照节点顺序执行, 当所有节点的上一个job step执行完，才会在所有节点执行下一个job step