[GitHub] spark issue #17620: [SPARK-20305][Spark Core]Master may keep in the state of...

2017-06-20 Thread jiangxb1987
Github user jiangxb1987 commented on the issue:

https://github.com/apache/spark/pull/17620
  
@lvdongr Would you please close this and submit another PR to address the 
root cause? Thank you!


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[GitHub] spark issue #17620: [SPARK-20305][Spark Core]Master may keep in the state of...

2017-06-20 Thread jiangxb1987
Github user jiangxb1987 commented on the issue:

https://github.com/apache/spark/pull/17620
  
Agree, let's close this and see whether we can reproduce the root cause of 
the failure. Thanks! @jerryshao 


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[GitHub] spark issue #17620: [SPARK-20305][Spark Core]Master may keep in the state of...

2017-06-19 Thread jerryshao
Github user jerryshao commented on the issue:

https://github.com/apache/spark/pull/17620
  
@jiangxb1987 according to what @lvdongr described, seems there's an issue 
in state transition for recovered master:

> This happend at the time the previous master leader remove the died 
worker ,clear the worker's node on persistEngine(we use zookeeper),But before 
the worker node was removed from the zookeeper ,the leader changed. The new 
master leader recovery from the zookeeper ,and read the died worker node. Then 
the new leader find the worker died and trying to remove it ,and try to clear 
the node on zookeeper,but the node has been removed by the previous leader ,so 
an exception was throw, and the recovery fail. Then the leader will always in 
COMPLETING_RECOVERY state,and all the application registered cannot get 
resources .

Based on the description, it looks like a contention issue, but here the 
fix is just simply a `try catch` solution. IMHO we'd better fix the root cause 
if we want to move forward this issue.


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[GitHub] spark issue #17620: [SPARK-20305][Spark Core]Master may keep in the state of...

2017-06-19 Thread jiangxb1987
Github user jiangxb1987 commented on the issue:

https://github.com/apache/spark/pull/17620
  
Should we move forward with this PR or should we close this? @jerryshao 


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[GitHub] spark issue #17620: [SPARK-20305][Spark Core]Master may keep in the state of...

2017-04-19 Thread lvdongr
Github user lvdongr commented on the issue:

https://github.com/apache/spark/pull/17620
  
You can see the main method in Master.scala. 

  def main(argStrings: Array[String]) {
Utils.initDaemon(log)
val conf = new SparkConf
val args = new MasterArguments(argStrings, conf)
val (rpcEnv, _, _) = startRpcEnvAndEndpoint(args.host, args.port, 
args.webUiPort, conf)
rpcEnv.awaitTermination()
  }

When the rpcEnv is shut down,the main method will finish,and Master process 
will stop as I test already. I choose this way ,because the onstop method will 
be called before stopping master.So the service in master will also be 
closed,such as webui,metrics,persistenceEngine. I think it will be safer.  
Thank you for your last reply @jerryshao 


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[GitHub] spark issue #17620: [SPARK-20305][Spark Core]Master may keep in the state of...

2017-04-19 Thread lvdongr
Github user lvdongr commented on the issue:

https://github.com/apache/spark/pull/17620
  
This happend at the time the previous master leader remove the died worker 
,clear the worker's node on persistEngine(we use zookeeper),But before the 
worker node was removed from the zookeeper ,the leader changed. The new master 
leader recovery from the zookeeper ,and read the died worker node. Then the new 
leader find the worker died and trying to remove it ,and try to clear the node 
on zookeeper,but the node has been removed by the previous leader ,so an 
exception was throw, and the recovery fail. Then the leader will always in 
COMPLETING_RECOVERY state,and all the application registered cannot get 
resources .


![failfetchresource](https://cloud.githubusercontent.com/assets/25652150/25209181/f7e31528-25ab-11e7-9eb2-e2f15db2dcac.png)



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[GitHub] spark issue #17620: [SPARK-20305][Spark Core]Master may keep in the state of...

2017-04-19 Thread jerryshao
Github user jerryshao commented on the issue:

https://github.com/apache/spark/pull/17620
  
I'm still not sure what issue you met during recovery and what will be 
happened if the issue is occurred?

Looks from the fix you provided, what you mainly did is to shutdown rpcEnv, 
what will be happened after that, will this master process be orphaned or just 
exited?


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[GitHub] spark issue #17620: [SPARK-20305][Spark Core]Master may keep in the state of...

2017-04-16 Thread lvdongr
Github user lvdongr commented on the issue:

https://github.com/apache/spark/pull/17620
  
Execute me, Can this issue be closed or threre are some other problem? 
@jerryshao 


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[GitHub] spark issue #17620: [SPARK-20305][Spark Core]Master may keep in the state of...

2017-04-12 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/17620
  
Can one of the admins verify this patch?


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