It is a problem as the application master needs to contact the other nodes Try updating the hosts file on all the machines and try again.
Daniel > On 24 בנוב׳ 2014, at 19:26, Amit Behera <amit.bd...@gmail.com> wrote: > > I did not modify in all the slaves. except slave > > will it be a problem ? > > But for small data (up to 20 GB table) it is running and for 300GB table only > count(*) running sometimes and sometimes failed > > Thanks > Amit > >> On Mon, Nov 24, 2014 at 10:37 PM, Daniel Haviv >> <daniel.ha...@veracity-group.com> wrote: >> did you copy the hosts file to all the nodes? >> >> Daniel >> >>> On 24 בנוב׳ 2014, at 19:04, Amit Behera <amit.bd...@gmail.com> wrote: >>> >>> hi Daniel, >>> >>> >>> this stacktrace same for other query . >>> for different run I am getting slave7 sometime slave8... >>> >>> And also I registered all machine IPs in /etc/hosts >>> >>> Regards >>> Amit >>> >>> >>> >>>> On Mon, Nov 24, 2014 at 10:22 PM, Daniel Haviv >>>> <daniel.ha...@veracity-group.com> wrote: >>>> It seems that the application master can't resolve slave6's name to an IP >>>> >>>> Daniel >>>> >>>>> On 24 בנוב׳ 2014, at 18:49, Amit Behera <amit.bd...@gmail.com> wrote: >>>>> >>>>> Hi Users, >>>>> >>>>> my cluster(1+8) configuration: >>>>> >>>>> RAM : 32 GB each >>>>> HDFS : 1.5 TB SSD >>>>> CPU : 8 core each >>>>> >>>>> ----------------------------------------------- >>>>> >>>>> I am trying to query on 300GB of table but I am able to run only select >>>>> query. >>>>> >>>>> Except select query , for all other query I am getting following >>>>> exception. >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> Total jobs = 1 >>>>> Stage-1 is selected by condition resolver. >>>>> Launching Job 1 out of 1 >>>>> Number of reduce tasks not specified. Estimated >>>>> from input data size: 183 >>>>> In order to change the average load for a >>>>> reducer (in bytes): >>>>> set >>>>> hive.exec.reducers.bytes.per.reducer=<number> >>>>> In order to limit the maximum number of >>>>> reducers: >>>>> set hive.exec.reducers.max=<number> >>>>> In order to set a constant number of reducers: >>>>> set mapreduce.job.reduces=<number> >>>>> Starting Job = job_1416831990090_0005, Tracking >>>>> URL = http://master:8088/proxy/application_1416831990090_0005/ >>>>> Kill Command = /root/hadoop/bin/hadoop job >>>>> -kill job_1416831990090_0005 >>>>> Hadoop job information for Stage-1: number of >>>>> mappers: 679; number of reducers: 183 >>>>> 2014-11-24 19:43:01,523 Stage-1 map = 0%, >>>>> reduce = 0% >>>>> 2014-11-24 19:43:22,730 Stage-1 map = 53%, >>>>> reduce = 0%, Cumulative CPU 625.19 sec >>>>> 2014-11-24 19:43:23,778 Stage-1 map = 100%, >>>>> reduce = 100% >>>>> MapReduce Total cumulative CPU time: 10 minutes >>>>> 25 seconds 190 msec >>>>> Ended Job = job_1416831990090_0005 with errors >>>>> Error during job, obtaining debugging >>>>> information... >>>>> Examining task ID: >>>>> task_1416831990090_0005_m_000005 (and more) from job >>>>> job_1416831990090_0005 >>>>> Examining task ID: >>>>> task_1416831990090_0005_m_000042 (and more) from job >>>>> job_1416831990090_0005 >>>>> Examining task ID: >>>>> task_1416831990090_0005_m_000035 (and more) from job >>>>> job_1416831990090_0005 >>>>> Examining task ID: >>>>> task_1416831990090_0005_m_000065 (and more) from job >>>>> job_1416831990090_0005 >>>>> Examining task ID: >>>>> task_1416831990090_0005_m_000002 (and more) from job >>>>> job_1416831990090_0005 >>>>> Examining task ID: >>>>> task_1416831990090_0005_m_000007 (and more) from job >>>>> job_1416831990090_0005 >>>>> Examining task ID: >>>>> task_1416831990090_0005_m_000058 (and more) from job >>>>> job_1416831990090_0005 >>>>> Examining task ID: >>>>> task_1416831990090_0005_m_000043 (and more) from job >>>>> job_1416831990090_0005 >>>>> >>>>> >>>>> Task with the most failures(4): >>>>> ----- >>>>> Task ID: >>>>> task_1416831990090_0005_m_000005 >>>>> >>>>> >>>>> URL: >>>>> >>>>> http://master:8088/taskdetails.jsp?jobid=job_1416831990090_0005&tipid=task_1416831990090_0005_m_000005 >>>>> ----- >>>>> Diagnostic Messages for this Task: >>>>> Container launch failed for >>>>> container_1416831990090_0005_01_000112 : >>>>> java.lang.IllegalArgumentException: java.net.UnknownHostException: >>>>> slave6 >>>>> at >>>>> org.apache.hadoop.security.SecurityUtil.buildTokenService(SecurityUtil.java:418) >>>>> at >>>>> org.apache.hadoop.security.SecurityUtil.setTokenService(SecurityUtil.java:397) >>>>> at >>>>> org.apache.hadoop.yarn.util.ConverterUtils.convertFromYarn(ConverterUtils.java:233) >>>>> at >>>>> org.apache.hadoop.yarn.client.api.impl.ContainerManagementProtocolProxy$ContainerManagementProtocolProxyData.newProxy(ContainerManagementProtocolProxy.java:211) >>>>> at >>>>> org.apache.hadoop.yarn.client.api.impl.ContainerManagementProtocolProxy$ContainerManagementProtocolProxyData.<init>(ContainerManagementProtocolProxy.java:189) >>>>> at >>>>> org.apache.hadoop.yarn.client.api.impl.ContainerManagementProtocolProxy.getProxy(ContainerManagementProtocolProxy.java:110) >>>>> at >>>>> org.apache.hadoop.mapreduce.v2.app.launcher.ContainerLauncherImpl.getCMProxy(ContainerLauncherImpl.java:403) >>>>> at >>>>> org.apache.hadoop.mapreduce.v2.app.launcher.ContainerLauncherImpl$Container.launch(ContainerLauncherImpl.java:138) >>>>> at >>>>> org.apache.hadoop.mapreduce.v2.app.launcher.ContainerLauncherImpl$EventProcessor.run(ContainerLauncherImpl.java:369) >>>>> at >>>>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >>>>> at >>>>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >>>>> at java.lang.Thread.run(Thread.java:745) >>>>> Caused by: java.net.UnknownHostException: slave6 >>>>> ... 12 more >>>>> >>>>> >>>>> >>>>> >>>>> FAILED: Execution Error, return code 2 from >>>>> org.apache.hadoop.hive.ql.exec.mr.MapRedTask >>>>> MapReduce Jobs Launched: >>>>> Job 0: Map: 679 Reduce: 183 Cumulative CPU: >>>>> 625.19 sec HDFS Read: 0 HDFS Write: 0 FAIL >>>>> Total MapReduce CPU Time Spent: 10 minutes 25 >>>>> seconds 190 mse >>>>> >>>>> >>>>> >>>>> Please help me to fix the issue. >>>>> >>>>> Thanks >>>>> Amit >
