NullPointerException in Docker run-example.sh about sparkling-water HOT 11 CLOSED

ls examples/scripts/
Meetup20141217.md  dlDemo.script

RUN curl -s http://d3kbcqa49mib13.cloudfront.net/spark-1.2.0-bin-cdh4.tgz | tar -xz -C /opt && \
    ln -s /opt/spark-1.2.0-bin-cdh4 /opt/spark && \
    mkdir /opt/spark/work && \
    chmod 0777 /opt/spark/work

# Install Sparkling water latest version
RUN curl -s http://h2o-release.s3.amazonaws.com/sparkling-water/master/75/sparkling-water-0.2.10-75.zip --output sw.zip && \
  unzip sw.zip -d /opt/ && \
  ln -s /opt/sparkling-water-0.2.10-75 /opt/sparkling-water && \

---------
  Using example                  : org.apache.spark.examples.h2o.AirlinesWithWeatherDemo2
  Using master    (MASTER)       : local-cluster[3,2,1024]
  Deploy mode     (DEPLOY_MODE)  : client
  Driver memory   (DRIVER_MEMORY): 1G
  H2O JVM options (H2O_SYS_OPS)  :
---------
Spark Command: /usr/lib/jvm/java-7-oracle/jre/bin/java -cp /opt/spark/conf/:/opt/spark/lib/spark-assembly-1.5.1-hadoop2.4.0.jar:/opt/spark/lib/datanucleus-core-3.2.10.jar:/opt/spark/lib/datanucleus-rdbms-3.2.9.jar:/opt/spark/lib/datanucleus-api-jdo-3.2.6.jar -Xms1G -Xmx1G org.apache.spark.deploy.SparkSubmit --master local-cluster[3,2,1024] --deploy-mode client --conf spark.driver.memory=1G --conf spark.driver.extraJavaOptions= --class org.apache.spark.examples.h2o.AirlinesWithWeatherDemo2 /opt/sparkling-water-1.5.2/assembly/build/libs/sparkling-water-assembly-1.5.2-all.jar
========================================
15/10/21 02:35:39 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
15/10/21 02:35:44 WARN MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set.
15/10/21 02:35:45 WARN H2OContext: Increasing 'spark.locality.wait' to value 30000
Java HotSpot(TM) 64-Bit Server VM warning: INFO: os::commit_memory(0x00007fa71956d000, 12288, 0) failed; error='Cannot allocate memory' (errno=12)
#
# There is insufficient memory for the Java Runtime Environment to continue.
# Native memory allocation (mmap) failed to map 12288 bytes for committing reserved memory.

-----
  Spark master (MASTER)     : local-cluster[3,2,2048]
  Spark home   (SPARK_HOME) : /opt/spark
  H2O build version         : 3.2.0.5 (slater)
  Spark build version       : 1.5.0
----

Java HotSpot(TM) 64-Bit Server VM warning: INFO: os::commit_memory(0x0000000740000000, 2147483648, 0) failed; error='Cannot allocate memory' (errno=12)
#
# There is insufficient memory for the Java Runtime Environment to continue.
# Native memory allocation (mmap) failed to map 2147483648 bytes for committing reserved memory.