Hi,
Did you try to reduce number of executors and cores? usually num-executors *
executor-cores = number of parallel tasks, so you can reduce number of
parallel tasks in command line like
./bin/spark-submit --class org.apache.spark.examples.SparkPi \
--master yarn-cluster \
--num-executors 3 \
--driver-memory 4g \
--executor-memory 2g \
--executor-cores 1 \
--queue thequeue \
lib/spark-examples*.jar \
10
for more details see
https://spark.apache.org/docs/1.2.0/running-on-yarn.html
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