When the  first attempt fails, it tries to run again the app. So the status changes from "running" to "accepted". If you check the RM webUI you could see several attempts were run. ... View more

I can't see the relationship between yarn.scheduler.minimum-allocation-mb and the error is reported. According to hive documentation, yarn.scheduler.minimum-allocation-mb is the "container memory minimum". But in this case, the container is running of memory, so it makes sense to increase the "maximum-allocation" instead.   Anyway, as it was answered, increasing "mapreduce.map.memory.mb" and "mapreduce.reduce.memory.mb" must work, as those parameters controls how much memory is used by the map-reduce task is run by Hive. ... View more

In linux, according to this   http://web.mit.edu/kerberos/www/krb5-1.9/krb5-1.9.4/doc/krb5-admin.html   The default kerberos cache files are stored in /tmp folder, they match with this pattern:   /tmp/krb5cc_<uid>, where <uid> is your UNIX user-id, represented in decimal format.   Hope it helps. ... View more

I guess that they were using a path  hdfs://user or //user   The Spark interpreter is understanding that this path is an hdfs path, but the server was not included in this path, because hdfs path must include the hostname of the server where the file is located, I mean hdfs://hostname/user rather than hdfs://user   ... View more