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09-13-2018
11:06 AM
@Tarun , sorry , yes you rught all cluster are twice then the Vcore value , its my fault
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09-13-2018
10:31 AM
@Tarun , so the final answer is to set 80% from 32 second , I will give you interesting info some of our ambari clusters the scrollbar is limit as the vcore ( for example if we have 16 vcore then scroll bar is until 16 and some cluster the scrolbar is twice then the real vcore ( for example if we have 16 vcore the scroll bar is 32 ) so how you explain this?
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09-13-2018
10:00 AM
@Tarun , first thank you , but I will give you interesting example we have ambari cluster with 3 datanode each data node have 32 Vcore with 2 thread ( as we get from lscpu ) so according to your answer we need to set 32 to yarn.nodemanager.resource.cpu-vcores but as you can see from the following picture the scrollbar is until 64Vcore , and seems that during ambari installation , ambari calculate 2 X 32 and that gives us the scroll-bar to 64 so regarding my example , do you still with opinion that we need to set 80% of 32 ?
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09-13-2018
07:26 AM
@Jay , can you look on my question on thred - https://community.hortonworks.com/questions/221835/how-to-calculate-the-yarnnodemanagerresourcecpu-vc-1.html , I will really apritiate your opinion
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09-13-2018
07:24 AM
@Jay regarding my question what actuality happens if I set the value - 100 that is more then ambari recomended , dose ambari will take the value 100 anyway ? , or the limit is 96 ?
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09-13-2018
06:28 AM
in order to explain my question I will give the following example under YARN --> CONFIG we have the following setings and then we CHANGE the following NEW settings as we can see the value - 100 is greater then scrollbar recommended in that case when we set the value 100 what is the real value that ambari is using ? dose ambari take the max value - 96 ? or ambari take the value - 100 ?
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09-12-2018
04:16 PM
so in case we verify the logs of gc by http://gceasy.io/ , and we see that Driver isn't doing full garbage collection , that what are the next steps that we need to do ?
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09-12-2018
03:14 PM
hi all, Number of vcores ( yarn.nodemanager.resource.cpu-vcores , should be around ~80% of total vCPUs available on datanode machine machine, but what in case we have on datanode machine the following info : 32 core , and Thread(s) per core is 2 lscpu
Thread(s) per core: 2 in this case what should be the yarn.nodemanager.resource.cpu-vcores ? is it 80% from 64 ? or 80% from 32 ?
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09-12-2018
06:48 AM
@Falix , regarding to you answer - "Check if Driver is doing full garbage collection" , please described how to do that?
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09-06-2018
10:06 AM
@Sandeep , I will explain why we want logs under the datanode machine /var/log/spark2 , maybe you have suggestion We notice that the messages that sent by the executor ( on datanode ) can not be delivered to the driver ( on the master machine ), and from the yarn logs we can see that warning <code>WARN executor.Executor:Issue communicating with driver in heartbeater My question is - what could be the reasons that driver ( master1 machine ) not get the heartbeat from the workers machines second how to debug this problem about - communicating with driver in heartbeater ?
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