title: How to turn off INFO logging in Spark?
body: <p>I installed Spark using the AWS EC2 guide and I can launch the program fine using the <code>bin/pyspark</code> script to get to the spark prompt and can also do the Quick Start quide successfully.</p>
  
  <p>However, I cannot for the life of me figure out how to stop all of the verbose <code>INFO</code> logging after each command.</p>
  
  <p>I have tried nearly every possible scenario in the below code (commenting out, setting to OFF) within my <code>log4j.properties</code> file in the <code>conf</code> folder in where I launch the application from as well as on each node and nothing is doing anything. I still get the logging <code>INFO</code> statements printing after executing each statement.</p>
  
  <p>I am very confused with how this is supposed to work. </p>
  
  <pre><code>#Set everything to be logged to the console log4j.rootCategory=INFO, console                                                                        
  log4j.appender.console=org.apache.log4j.ConsoleAppender 
  log4j.appender.console.target=System.err     
  log4j.appender.console.layout=org.apache.log4j.PatternLayout 
  log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n
  
  # Settings to quiet third party logs that are too verbose
  log4j.logger.org.eclipse.jetty=WARN
  log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO
  log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO
  </code></pre>
  
  <p>Here is my full classpath when I use <code>SPARK_PRINT_LAUNCH_COMMAND</code>:</p>
  
  <blockquote>
    <p>Spark Command:
    /Library/Java/JavaVirtualMachines/jdk1.8.0_05.jdk/Contents/Home/bin/java
    -cp    :/root/spark-1.0.1-bin-hadoop2/conf:/root/spark-1.0.1-bin-hadoop2/conf:/root/spark-1.0.1-bin-hadoop2/lib/spark-assembly-1.0.1-hadoop2.2.0.jar:/root/spark-1.0.1-bin-hadoop2/lib/datanucleus-api-jdo-3.2.1.jar:/root/spark-1.0.1-bin-hadoop2/lib/datanucleus-core-3.2.2.jar:/root/spark-1.0.1-bin-hadoop2/lib/datanucleus-rdbms-3.2.1.jar
    -XX:MaxPermSize=128m -Djava.library.path= -Xms512m -Xmx512m org.apache.spark.deploy.SparkSubmit spark-shell --class
    org.apache.spark.repl.Main</p>
  </blockquote>
  
  <p>contents of <code>spark-env.sh</code>:</p>
  
  <pre><code>#!/usr/bin/env bash
  
  # This file is sourced when running various Spark programs.
  # Copy it as spark-env.sh and edit that to configure Spark for your site.
  
  # Options read when launching programs locally with 
  # ./bin/run-example or ./bin/spark-submit
  # - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files
  # - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node
  # - SPARK_PUBLIC_DNS, to set the public dns name of the driver program
  # - SPARK_CLASSPATH=/root/spark-1.0.1-bin-hadoop2/conf/
  
  # Options read by executors and drivers running inside the cluster
  # - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node
  # - SPARK_PUBLIC_DNS, to set the public DNS name of the driver program
  # - SPARK_CLASSPATH, default classpath entries to append
  # - SPARK_LOCAL_DIRS, storage directories to use on this node for shuffle and RDD data
  # - MESOS_NATIVE_LIBRARY, to point to your libmesos.so if you use Mesos
  
  # Options read in YARN client mode
  # - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files
  # - SPARK_EXECUTOR_INSTANCES, Number of workers to start (Default: 2)
  # - SPARK_EXECUTOR_CORES, Number of cores for the workers (Default: 1).
  # - SPARK_EXECUTOR_MEMORY, Memory per Worker (e.g. 1000M, 2G) (Default: 1G)
  # - SPARK_DRIVER_MEMORY, Memory for Master (e.g. 1000M, 2G) (Default: 512 Mb)
  # - SPARK_YARN_APP_NAME, The name of your application (Default: Spark)
  # - SPARK_YARN_QUEUE, The hadoop queue to use for allocation requests (Default: ‘default’)
  # - SPARK_YARN_DIST_FILES, Comma separated list of files to be distributed with the job.
  # - SPARK_YARN_DIST_ARCHIVES, Comma separated list of archives to be distributed with the job.
  
  # Options for the daemons used in the standalone deploy mode:
  # - SPARK_MASTER_IP, to bind the master to a different IP address or hostname
  # - SPARK_MASTER_PORT / SPARK_MASTER_WEBUI_PORT, to use non-default ports for the master
  # - SPARK_MASTER_OPTS, to set config properties only for the master (e.g. "-Dx=y")
  # - SPARK_WORKER_CORES, to set the number of cores to use on this machine
  # - SPARK_WORKER_MEMORY, to set how much total memory workers have to give executors (e.g. 1000m, 2g)
  # - SPARK_WORKER_PORT / SPARK_WORKER_WEBUI_PORT, to use non-default ports for the worker
  # - SPARK_WORKER_INSTANCES, to set the number of worker processes per node
  # - SPARK_WORKER_DIR, to set the working directory of worker processes
  # - SPARK_WORKER_OPTS, to set config properties only for the worker (e.g. "-Dx=y")
  # - SPARK_HISTORY_OPTS, to set config properties only for the history server (e.g. "-Dx=y")
  # - SPARK_DAEMON_JAVA_OPTS, to set config properties for all daemons (e.g. "-Dx=y")
  # - SPARK_PUBLIC_DNS, to set the public dns name of the master or workers
  
  export SPARK_SUBMIT_CLASSPATH="$FWDIR/conf"
  </code></pre>