We upgraded from 1.4.0 to 1.5.1 (skipped 1.5.0) and one of our clustering job
hit the below error. Does anyone know what this is about or if it is a bug?
stdout4260Traceback (most recent call last):
File "user_clustering.py", line 137, in <module>
uig_model = KMeans.train(uigs,i,nIter, runs = nRuns)
File
"/mnt/yarn/nm/usercache/ds/appcache/application_1444086959272_0238/container_1444086959272_0238_01_000001/pyspark.zip/pyspark/mllib/clustering.py",
line 150, in train
File
"/mnt/yarn/nm/usercache/ds/appcache/application_1444086959272_0238/container_1444086959272_0238_01_000001/pyspark.zip/pyspark/mllib/common.py",
line 130, in callMLlibFunc
File
"/mnt/yarn/nm/usercache/ds/appcache/application_1444086959272_0238/container_1444086959272_0238_01_000001/pyspark.zip/pyspark/mllib/common.py",
line 123, in callJavaFunc
File
"/mnt/yarn/nm/usercache/ds/appcache/application_1444086959272_0238/container_1444086959272_0238_01_000001/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 538, in __call__
File
"/mnt/yarn/nm/usercache/ds/appcache/application_1444086959272_0238/container_1444086959272_0238_01_000001/pyspark.zip/pyspark/sql/utils.py",
line 36, in deco
File
"/mnt/yarn/nm/usercache/ds/appcache/application_1444086959272_0238/container_1444086959272_0238_01_000001/py4j-0.8.2.1-src.zip/py4j/protocol.py",
line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling
o220.trainKMeansModel.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 73
in stage 14.0 failed 4 times, most recent failure: Lost task 73.3 in stage
14.0 (TID 1357, hadoop-sandbox-dn07): ExecutorLostFailure (executor 13 lost)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1822)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1835)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1848)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1919)
at org.apache.spark.rdd.RDD.count(RDD.scala:1121)
at org.apache.spark.rdd.RDD.takeSample(RDD.scala:485)
at
org.apache.spark.mllib.clustering.KMeans.initKMeansParallel(KMeans.scala:376)
at
org.apache.spark.mllib.clustering.KMeans.runAlgorithm(KMeans.scala:249)
at org.apache.spark.mllib.clustering.KMeans.run(KMeans.scala:213)
at
org.apache.spark.mllib.api.python.PythonMLLibAPI.trainKMeansModel(PythonMLLibAPI.scala:341)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
-----
-- Robin Li
--
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