what could be the reason that yarn memory is very high? any suggestion to verify this? we have this value from ambari yarn.scheduler.capacity.root.default.user-limit-factor=1 yarn.scheduler.minimum-allocation-mb=11776 yarn.scheduler.maximum-allocation-mb=122880 yarn.nodemanager.resource.memory-mb=120G /usr/bin/yarn application -list -appStates RUNNING | grep RUNNING Thrift JDBC/ODBC Server SPARK hive default RUNNING UNDEFINED 10% Thrift JDBC/ODBC Server SPARK hive default RUNNING UNDEFINED 10% mcMFM SPARK hdfs default RUNNING UNDEFINED 10% mcMassRepo SPARK hdfs default RUNNING UNDEFINED 10% mcMassProfiling SPARK hdfs default RUNNING UNDEFINED free -g total used free shared buff/cache available Mem: 31 24 0 1 6 5 Swap: 7 0 7 ... View more

how to delete worker or kafka node from cluster by manual way because some times we cant delete the node from the ambari ( not clear why ) , and in this case we want to do the deletion by manual approach ( for example delete folder / users / rpm manual from the Linux machine ) ... View more