File not found - API to submit Apache Spark jobs on ec2

[ChaiBapchya]

Aim - API call from any machine that submits a Spark job to Spark EC2 cluster Job runs perfectly well - Python file running on Localhost- Apache Spark However, unable to run it on Apache Spark EC2.

API call

 curl -X POST http://ec2-54-209-108-127.compute-1.amazonaws.com:6066/v1/submissions/create --header "Content-Type:application/json;charset=UTF-8" --data '{
  "action" : "CreateSubmissionRequest",
  "appArgs" : [ "" ],
  "appResource" : "wordcount.py",
  "clientSparkVersion" : "1.5.0",
  "environmentVariables" : {
    "SPARK_ENV_LOADED" : "1"
  },
  "mainClass" : "",
  "sparkProperties" : {
    "spark.jars" : "wordcount.py",
    "spark.driver.supervise" : "true",
    "spark.app.name" : "MyJob",
    "spark.eventLog.enabled": "true",
    "spark.submit.deployMode" : "cluster",
    "spark.master" : "spark://ec2-54-209-108-127.compute-1.amazonaws.com:6066"
  }}'

{
  "action" : "CreateSubmissionResponse",
  "message" : "Driver successfully submitted as driver-20160712145703-0003",
  "serverSparkVersion" : "1.6.1",
  "submissionId" : "driver-20160712145703-0003",
  "success" : true
}

To get the response, following API returns error - File not found

curl  http://ec2-54-209-108-127.compute-1.amazonaws.com:6066/v1/submissions/status/driver-20160712145703-0003
{
  "action" : "SubmissionStatusResponse",
  "driverState" : "ERROR",
  "message" : "Exception from the cluster:\njava.io.FileNotFoundException: wordcount.py (No such file or directory)\n\tjava.io.FileInputStream.open(Native Method)\n\tjava.io.FileInputStream.<init>(FileInputStream.java:146)\n\torg.spark-project.guava.io.Files$FileByteSource.openStream(Files.java:124)\n\torg.spark-project.guava.io.Files$FileByteSource.openStream(Files.java:114)\n\torg.spark-project.guava.io.ByteSource.copyTo(ByteSource.java:202)\n\torg.spark-project.guava.io.Files.copy(Files.java:436)\n\torg.apache.spark.util.Utils$.org$apache$spark$util$Utils$$copyRecursive(Utils.scala:539)\n\torg.apache.spark.util.Utils$.copyFile(Utils.scala:510)\n\torg.apache.spark.util.Utils$.doFetchFile(Utils.scala:595)\n\torg.apache.spark.util.Utils$.fetchFile(Utils.scala:394)\n\torg.apache.spark.deploy.worker.DriverRunner.org$apache$spark$deploy$worker$DriverRunner$$downloadUserJar(DriverRunner.scala:150)\n\torg.apache.spark.deploy.worker.DriverRunner$$anon$1.run(DriverRunner.scala:79)",
  "serverSparkVersion" : "1.6.1",
  "submissionId" : "driver-20160712145703-0003",
  "success" : true,
  "workerHostPort" : "172.31.17.189:59433",
  "workerId" : "worker-20160712083825-172.31.17.189-59433"
}

Awaiting suggestions and improvements. p.s. - newbie in Apache Spark..

Update API call (Set the main class, appArgs, appResource, clientSparkVersion to updated value) ->

curl -X POST http://ec2-54-209-108-127.compute-1.amazonaws.com:6066/v1/submissions/create{
"action" : "CreateSubmissionRequest",
"appArgs" : [ "/wordcount.py" ],
"appResource" : "file:/wordcount.py",
"clientSparkVersion" : "1.6.1",
"environmentVariables" : {
"SPARK_ENV_LOADED" : "1"
},
"mainClass" : "org.apache.spark.deploy.SparkSubmit",
"sparkProperties" : {
"spark.driver.supervise" : "false",
"spark.app.name" : "Simple App",
"spark.eventLog.enabled": "true",
"spark.submit.deployMode" : "cluster",
"spark.master" : "spark://ec2-54-209-108-127.compute-1.amazonaws.com:6066"
}
}