hi , i get this errors when i performe join two data frames under pyspark 1.5.0 and cloudera 5.5.1 and yarn application i have 15 nodes i can use 5 executors with 20g of memeory i work on IPYTHON , i have small table with 6 GO of data for large one and 30 mo for little one.
Py4JJavaError Traceback (most recent call last) <ipython-input-46-6654205a2575> in <module>() ----> 1 df_join2.write.mode("overwrite").parquet(paths_save+"df_join3") /opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p1254.1026/lib/spark/python/pyspark/sql/readwriter.py in parquet(self, path, mode, partitionBy) 404 if partitionBy is not None: 405 self.partitionBy(partitionBy) --> 406 self._jwrite.parquet(path) 407 408 def orc(self, path, mode=None, partitionBy=None): /opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p1254.1026/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py in __call__(self, *args) 536 answer = self.gateway_client.send_command(command) 537 return_value = get_return_value(answer, self.gateway_client, --> 538 self.target_id, self.name) 539 540 for temp_arg in temp_args: /opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p1254.1026/lib/spark/python/pyspark/sql/utils.py in deco(*a, **kw) 34 def deco(*a, **kw): 35 try: ---> 36 return f(*a, **kw) 37 except py4j.protocol.Py4JJavaError as e: 38 s = e.java_exception.toString() /opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p1254.1026/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name) 298 raise Py4JJavaError( 299 'An error occurred while calling {0}{1}{2}.\n'. --> 300 format(target_id, '.', name), value) 301 else: 302 raise Py4JError( Py4JJavaError: An error occurred while calling o199.parquet. : org.apache.spark.SparkException: Job aborted. at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:156) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:108) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:108) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.run(InsertIntoHadoopFsRelation.scala:108) at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57) at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57) at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:69) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138) at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:933) at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:933) at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:197) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:146) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:137) at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:304) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379) at py4j.Gateway.invoke(Gateway.java:259) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:207) at java.lang.Thread.run(Thread.java:745) Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 43 in stage 68.0 failed 4 times, most recent failure: Lost task 43.3 in stage 68.0 (TID 2495, prssnbd1s003.bigplay.bigdata.): ExecutorLostFailure (executor 75 lost) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1294) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1282) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1281) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1281) 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:1507) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1469) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1837) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1914) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:150) ... 28 more -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/An-error-occurred-while-calling-o199-parquet-tp26744.html 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