Spark cluster fails after running and no exception thrown

I'm trying to run a stand-alone Spark application on EC2 Yarn command line. I'm submitting the following spark-submit script:

./bin/spark-submit   --class PageRankGraphX   --master yarn-cluster  --properties-file spark-defaults.conf.2   --executor-memory 2G   --total-executor-cores 5   ./SparkPageRank-assembly-1.0.jar s3://linkfilefull/full/links_small.txt s3://conansoutputbucket/smalloutput.txt 10 0.15 2

This is the output - there is no exception or error thrown, the job simply fails after running:

15/04/15 21:27:03 INFO yarn.Client: Application report from ASM:
         application identifier: application_1429126831428_0027
         appId: 27
         clientToAMToken: null
         appDiagnostics:
         appMasterHost: ip-172-31-1-67.eu-west-1.compute.internal
         appQueue: default
         appMasterRpcPort: 0
         appStartTime: 1429133214320
         yarnAppState: RUNNING
         distributedFinalState: UNDEFINED
         appTrackingUrl: http://ift.tt/1ysGuR4
         appUser: hadoop
15/04/15 21:27:04 INFO yarn.Client: Application report from ASM:
         application identifier: application_1429126831428_0027
         appId: 27
         clientToAMToken: null
         appDiagnostics:
         appMasterHost: ip-172-31-1-67.eu-west-1.compute.internal
         appQueue: default
         appMasterRpcPort: 0
         appStartTime: 1429133214320
         yarnAppState: FINISHED
         distributedFinalState: FAILED
         appTrackingUrl: http://ift.tt/1zhNICs
         appUser: hadoop

Does anyone know what could be causing this or how I could investigate? When I try to access the yarn logs, it says logs are disabled or not ready.