How to submit a spark job on a remote master node in yarn client mode? - hadoop

Question

I need to submit spark apps/jobs onto a remote spark cluster. I have currently spark on my machine and the IP address of the master node as yarn-client. Btw my machine is not in the cluster.
I submit my job with this command
./spark-submit --class SparkTest --deploy-mode client /home/vm/app.jar
I have the address of my master hardcoded into my app in the form
val spark_master = spark://IP:7077
And yet all I get is the error
16/06/06 03:04:34 INFO AppClient$ClientEndpoint: Connecting to master spark://IP:7077...
16/06/06 03:04:34 WARN AppClient$ClientEndpoint: Failed to connect to master IP:7077
java.io.IOException: Failed to connect to /IP:7077
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.ConnectException: Connection refused: /IP:7077
Or instead if I use
./spark-submit --class SparkTest --master yarn --deploy-mode client /home/vm/test.jar
I get
Exception in thread "main" java.lang.Exception: When running with master 'yarn' either HADOOP_CONF_DIR or YARN_CONF_DIR must be set in the environment.
at org.apache.spark.deploy.SparkSubmitArguments.validateSubmitArguments(SparkSubmitArguments.scala:251)
at org.apache.spark.deploy.SparkSubmitArguments.validateArguments(SparkSubmitArguments.scala:228)
at org.apache.spark.deploy.SparkSubmitArguments.<init>(SparkSubmitArguments.scala:109)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:114)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Do I really need to have hadoop configured as well in my workstation? All the work will be done remotely and this machine is not part of the cluster.
I am using Spark 1.6.1.

Answer 1

First of all, if you are setting conf.setMaster(...) from your application code, it takes highest precedence (over the --master argument). If you want to run in yarn client mode, do not use MASTER_IP:7077 in application code. You should supply hadoop client config files to your driver in the following way.
You should set environment variable HADOOP_CONF_DIR or YARN_CONF_DIR to point to the directory which contains the client configurations.
http://spark.apache.org/docs/latest/running-on-yarn.html
Depending upon which hadoop features you are using in your spark application, some of the config files will be used to lookup configuration. If you are using hive (through HiveContext in spark-sql), it will look for hive-site.xml. hdfs-site.xml will be used to lookup coordinates for NameNode reading/writing to HDFS from your job.