Set up Apache Spark 1.5+ with Hadoop 2.6+ s3a

spark_s3a_instructions.sh

# For a local environment
# Install hadoop and apache-spark via homebrew

# Apache Spark conf file 
# libexec/conf/spark-defaults.conf
# Make the AWS jars available to Spark
spark.executor.extraClassPath      /usr/local/Cellar/hadoop/2.7.1/libexec/share/hadoop/tools/lib/aws-java-sdk-1.7.4.jar:/usr/local/Cellar/hadoop/2.7.1/libexec/share/hadoop/tools/lib/hadoop-aws-2.7.1.jar
spark.driver.extraClassPath      /usr/local/Cellar/hadoop/2.7.1/libexec/share/hadoop/tools/lib/aws-java-sdk-1.7.4.jar:/usr/local/Cellar/hadoop/2.7.1/libexec/share/hadoop/tools/lib/hadoop-aws-2.7.1.jar

# Add file 
# libexec/conf/hdfs-site.xml
# http://stackoverflow.com/questions/30262567/unable-to-load-aws-credentials-when-using-spark-sql-through-beeline 
<?xml version="1.0"?>
<configuration>
<property>
  <name>fs.s3a.access.key</name>
  <value>xxx</value>
</property>
<property>
  <name>fs.s3a.secret.key</name>
  <value>xxx</value>
</property>
</configuration>

Thanks for this.
pyspark --packages com.amazonaws:aws-java-sdk-pom:1.10.34,org.apache.hadoop:hadoop-aws:2.6.0
also works