org.apache.spark.SparkException: Job aborted due to stage failure: Exception while getting task result: org.apache.spark.storage.BlockFetchException: Failed to fetch block from 1 locations. Most recent failure cause:

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via nabble.com by Unknown author, 1 year ago
Job aborted due to stage failure: Exception while getting task result: org.apache.spark.storage.BlockFetchException: Failed to fetch block from 1 locations. Most recent failure cause:
via Stack Overflow by Ivan
, 1 year ago
Job aborted due to stage failure: Total size of serialized results of 9113 tasks (1024.0 MB) is bigger than spark.driver.maxResultSize (1024.0 MB)
via GitHub by Auroratan
, 1 month ago
Job aborted due to stage failure: Task 0 in stage 33322.0 failed 1 times, most recent failure: Lost task 0.0 in stage 33322.0 (TID 925, localhost): ExecutorLostFailure (executor driver exited caused by one of the running tasks) Reason: Executor heartbeat timed out after 159469 ms Driver stacktrace:
via GitHub by luowenjuan
, 9 months ago
Job aborted due to stage failure: Task 699 in stage 4.0 failed 4 times, most recent failure: Lost task 699.3 in stage 4.0: java.lang.NullPointerException Driver stacktrace:
via Stack Overflow by Ahsan
, 1 year ago
Job aborted due to stage failure: Task 60 in stage 40.0 failed 1 times, most recent failure: Lost task 60.0 in stage 40.0 (TID 908, localhost): ExecutorLostFailure (executor driver exited caused by one of the running tasks) Reason: Executor heartbeat timed out after 174473 ms Driver stacktrace:
via Stack Overflow by Codejoy
, 2 months ago
Job aborted due to stage failure: Task 0.0 in stage 1.0 (TID 1) had a not serializable result: org.neo4j.driver.internal.InternalNode Serialization stack: - object not serializable (class: org.neo4j.driver.internal.InternalNode, value: node<5
org.apache.spark.SparkException: Job aborted due to stage failure: Exception while getting task result: org.apache.spark.storage.BlockFetchException: Failed to fetch block from 1 locations. Most recent failure cause:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1952)
at org.apache.spark.rdd.RDD$$anonfun$reduce$1.apply(RDD.scala:1025)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
at org.apache.spark.rdd.RDD.reduce(RDD.scala:1007)
at org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1.apply(RDD.scala:1397)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
at org.apache.spark.sql.execution.TakeOrderedAndProject.collectData(basicOperators.scala:213)
at org.apache.spark.sql.execution.TakeOrderedAndProject.doExecute(basicOperators.scala:223)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
at org.apache.spark.sql.execution.Union$$anonfun$doExecute$1.apply(basicOperators.scala:144)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.immutable.List.foreach(List.scala:318)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.AbstractTraversable.map(Traversable.scala:105)
at org.apache.spark.sql.execution.Union.doExecute(basicOperators.scala:144)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:187)
at org.apache.spark.sql.execution.EvaluatePython$$anonfun$takeAndServe$1.apply$mcI$sp(python.scala:126)
at org.apache.spark.sql.execution.EvaluatePython$$anonfun$takeAndServe$1.apply(python.scala:124)
at org.apache.spark.sql.execution.EvaluatePython$$anonfun$takeAndServe$1.apply(python.scala:124)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:2086)
at org.apache.spark.sql.execution.EvaluatePython$.takeAndServe(python.scala:124)
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:381)
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:209)
at java.lang.Thread.run(Thread.java:745)

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