@Greenhorn Techie spark client is client so there is no start and stop. As you can see from my screeen shot , when you stop spark , it will stop all those components. Now , for example when you run the following, it will launch a spark job and shutdown the job once it finishes. Run on a YARN cluster
export HADOOP_CONF_DIR=XXX
./bin/spark-submit \
--class org.apache.spark.examples.SparkPi \
--master yarn-cluster \ # can also be `yarn-client` for client mode
--executor-memory 20G \
--num-executors 50 \
/path/to/examples.jar \
1000
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