Yes, I am launching a cluster with the spark_ec2 script. I checked /root/spark/conf/spark-env.sh on the master node and on slaves and it looks like this:
#!/usr/bin/env bash > export SPARK_LOCAL_DIRS="/mnt/spark" > # Standalone cluster options > export SPARK_MASTER_OPTS="" > export SPARK_WORKER_INSTANCES=1 > export SPARK_WORKER_CORES=1 > export HADOOP_HOME="/root/ephemeral-hdfs" > export SPARK_MASTER_IP=ec2-54-89-95-238.compute-1.amazonaws.com > export MASTER=`cat /root/spark-ec2/cluster-url` > export > SPARK_SUBMIT_LIBRARY_PATH="$SPARK_SUBMIT_LIBRARY_PATH:/root/ephemeral-hdfs/lib/native/" > export > SPARK_SUBMIT_CLASSPATH="$SPARK_CLASSPATH:$SPARK_SUBMIT_CLASSPATH:/root/ephemeral-hdfs/conf" > # Bind Spark's web UIs to this machine's public EC2 hostname: > export SPARK_PUBLIC_DNS=`wget -q -O - > http://169.254.169.254/latest/meta-data/public-hostname` > # Set a high ulimit for large shuffles > ulimit -n 1000000 None of these variables seem to be related to memory size. Let me know if I am missing something. On Thu, Jun 12, 2014 at 7:17 PM, Matei Zaharia <matei.zaha...@gmail.com> wrote: > Are you launching this using our EC2 scripts? Or have you set up a cluster > by hand? > > Matei > > On Jun 12, 2014, at 2:32 PM, Aliaksei Litouka <aliaksei.lito...@gmail.com> > wrote: > > spark-env.sh doesn't seem to contain any settings related to memory size > :( I will continue searching for a solution and will post it if I find it :) > Thank you, anyway > > > On Wed, Jun 11, 2014 at 12:19 AM, Matei Zaharia <matei.zaha...@gmail.com> > wrote: > >> It might be that conf/spark-env.sh on EC2 is configured to set it to 512, >> and is overriding the application’s settings. Take a look in there and >> delete that line if possible. >> >> Matei >> >> On Jun 10, 2014, at 2:38 PM, Aliaksei Litouka <aliaksei.lito...@gmail.com> >> wrote: >> >> > I am testing my application in EC2 cluster of m3.medium machines. By >> default, only 512 MB of memory on each machine is used. I want to increase >> this amount and I'm trying to do it by passing --executor-memory 2G option >> to the spark-submit script, but it doesn't seem to work - each machine uses >> only 512 MB instead of 2 gigabytes. What am I doing wrong? How do I >> increase the amount of memory? >> >> > >
