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apache-sparkspark-streamingmesos

Spark on Mesos Cluster - Task Fails

I'm trying to run a Spark application in a Mesos cluster where I have one master and one slave. The slave has 8GB RAM assigned for Mesos. The master is running the Spark Mesos Dispatcher.

I use the following command to submit a Spark application (which is a streaming application).

spark-submit --master mesos://mesos-master:7077 --class com.verifone.media.ums.scheduling.spark.SparkBootstrapper --deploy-mode cluster scheduling-spark-0.5.jar

And I see the following output which shows its successfully submitted.

Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
15/09/01 12:52:38 INFO RestSubmissionClient: Submitting a request to launch an application in mesos://mesos-master:7077.
15/09/01 12:52:39 INFO RestSubmissionClient: Submission successfully created as driver-20150901072239-0002. Polling submission state...
15/09/01 12:52:39 INFO RestSubmissionClient: Submitting a request for the status of submission driver-20150901072239-0002 in mesos://mesos-master:7077.
15/09/01 12:52:39 INFO RestSubmissionClient: State of driver driver-20150901072239-0002 is now QUEUED.
15/09/01 12:52:40 INFO RestSubmissionClient: Server responded with CreateSubmissionResponse:
{
  "action" : "CreateSubmissionResponse",
  "serverSparkVersion" : "1.4.1",
  "submissionId" : "driver-20150901072239-0002",
  "success" : true
}

However, this fails in Mesos, and when I look at the Spark Cluster UI, I see the following message. 

task_id { value: "driver-20150901070957-0001" } state: TASK_FAILED message: "" slave_id { value: "20150831-082639-167881920-5050-4116-S6" } timestamp: 1.441091399975446E9 source: SOURCE_SLAVE reason: REASON_MEMORY_LIMIT 11: "\305-^E\377)N\327\277\361:\351\fm\215\312"

Seems like it is related to memory, but I'm not sure whether I have to configure something here to get this working.

UPDATE I looked at the mesos logs in the slave, and I see the following message.

E0901 07:56:26.086618  1284 fetcher.cpp:515] Failed to run mesos-fetcher: Failed to fetch all URIs for container '33183181-e91b-4012-9e21-baa37485e755' with exit status: 256

So I thought that this could be because of the Spark Executor URL, so I modified the spark-submit to be as follows and increased memory for both driver and slave, but still I see the same error.

spark-submit \
    --master mesos://mesos-master:7077 \
    --class com.verifone.media.ums.scheduling.spark.SparkBootstrapper \
    --deploy-mode cluster \
    --driver-memory 1G \
    --executor-memory 4G \
    --conf spark.executor.uri=http://d3kbcqa49mib13.cloudfront.net/spark-1.4.1-bin-hadoop2.6.tgz \
    scheduling-spark-0.5.jar

UPDATE 2

I went past this point by following @hartem's advice (see comments). Tasks are running now, but still, actual Spark application does not run in the cluster. When I look at the logs I see the following. After the last line, seems that Spark does not proceed any further. 

15/09/01 10:33:41 INFO SparkContext: Added JAR file:/tmp/mesos/slaves/20150831-082639-167881920-5050-4116-S8/frameworks/20150831-082639-167881920-5050-4116-0004/executors/driver-20150901103327-0002/runs/47339c12-fb78-43d6-bc8a-958dd94d0ccf/spark-1.4.1-bin-hadoop2.6/../scheduling-spark-0.5.jar at http://192.172.1.31:33666/jars/scheduling-spark-0.5.jar with timestamp 1441103621639
I0901 10:33:41.728466  4375 sched.cpp:157] Version: 0.23.0
I0901 10:33:41.730764  4383 sched.cpp:254] New master detected at master@192.172.1.10:7077
I0901 10:33:41.730908  4383 sched.cpp:264] No credentials provided. Attempting to register without authentication
Solution

  • Could you please do export GLOG_v=1 before launching the slave and see if there is anything interesting in the slave log? I would also look for stdout and stderr files under the slave working directory and see if they contain any clues.