Submit Spark Jobs to Remote Amazon EMR Cluster
Prepare your local machine
Note: Spark jobs can be submitted when deploy-mode is set to client or cluster.
1. Install all Spark client libraries on your local machine. For example, if you are using an emr-5.10.0 cluster (which has Spark 2.2.0 installed), then download spark-2.2.0-bin-hadoop2.7.tgz
2. Create an environment variable called HADOOP_CONF_DIR, and then point it to a directory on your local machine. All files in /etc/hadoop/conf on the Amazon EMR cluster must be present in the directory that HADOOP_CONF_DIR points to. Spark uses the configuration files, such as yarn-site.xml for YARN settings and hdfs-site.xml for HDFS settings, that are in the directory that HADOOP_CONF_DIR points to.
Note: When you submit a Spark job in cluster mode, the driver runs on cluster nodes that have all Hadoop binaries installed. When you submit a Spark job in client mode, all Hadoop binaries must be downloaded and installed on your local machine.
Submit the Spark job
Your local machine is now ready to submit a Spark job to a remote Amazon EMR cluster, using a command similar to the following:
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