Hi, thanks for your reply! What do you mean by that? I can have only one env variable HADOOP_CONF_DIR... And how can user pick which env to run?
Or you mean I have to create three Spark interpreters and each of them would have it's own HADOOP_CONF_DIR pointed to single cluster config? 2017-06-30 16:21 GMT+02:00 Jeff Zhang <zjf...@gmail.com>: > > Try set HADOOP_CONF_DIR for each yarn conf in interpreter setting. > > Serega Sheypak <serega.shey...@gmail.com>于2017年6月30日周五 下午10:11写道： > >> Hi I have several different hadoop clusters, each of them has it's own >> YARN. >> Is it possible to configure single Zeppelin instance to work with >> different clusters? >> I want to run spark on cluster A if data is there. Right now my Zeppelin >> runs on single cluster and it sucks data from remote clusters which is >> inefficient. Zeppelin can easily access any HDFS cluster, but what about >> YARN? >> >> What are the correct approaches to solve the problem? >> >
