org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 in stage 4.0 (TID 4) had a not serializable result: org.neo4j.driver.internal.InternalNode Serialization stack: - object not serializable (class: org.neo4j.driver.internal.InternalNode, value: node<10516047>) - element of array (index: 0) - array (class [Ljava.lang.Object;, size 1) - field (class: org.apache.spark.sql.catalyst.expressions.GenericRow, name: values, type: class [Ljava.lang.Object;) - object (class org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema, [node<10516047>]) - element of array (index: 0) - array (class [Lorg.apache.spark.sql.Row;, size 1)

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via Stack Overflow by kaxil
, 1 year ago
Job aborted due to stage failure: Task 0.0 in stage 4.0 (TID 4) had a not serializable result: org.neo4j.driver.internal.InternalNode Serialization stack: - object not serializable (class: org.neo4j.driver.internal.InternalNode, value: node
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
via Stack Overflow by Benjamin
, 3 months ago
Job aborted due to stage failure: Exception while getting task result: com.esotericsoftware.kryo.KryoException: Encountered unregistered class ID: 511 Serialization trace: iZone (org.joda.time.tz.CachedDateTimeZone) iParam
via locationtech.org by Unknown author, 1 year ago
Job aborted due to stage failure: Task 0.0 in stage 0.0 (TID 0) had a not serializable result: org.locationtech.geomesa.features.ScalaSimpleFeature Serialization stack: - object not serializable (class
via GitHub by jbouffard
, 7 months ago
Job aborted due to stage failure: Task 0.0 in stage 0.0 (TID 0) had a not serializable result: org.apache.hadoop.fs.Path - field (class "scala.Tuple2", name: "_1", type: "class java.lang.Object") - root object (class "scala.Tuple2", (file:/home/jacob/Documents/econic.tif,GridBounds(0,0,255,255)))
via Stack Overflow by Ok Letsdothis
, 1 year ago
Job aborted due to stage failure: Exception while getting task result: com.esotericsoftware.kryo.KryoException: Encountered unregistered class ID: 13994
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 in stage 4.0 (TID 4) had a not serializable result: org.neo4j.driver.internal.InternalNode Serialization stack: - object not serializable (class: org.neo4j.driver.internal.InternalNode, value: node<10516047>) - element of array (index: 0) - array (class [Ljava.lang.Object;, size 1) - field (class: org.apache.spark.sql.catalyst.expressions.GenericRow, name: values, type: class [Ljava.lang.Object;) - object (class org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema, [node<10516047>]) - element of array (index: 0) - array (class [Lorg.apache.spark.sql.Row;, size 1)
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1450)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1438)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1437)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1871)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1884)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1897)
at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1305)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:358)
at org.apache.spark.rdd.RDD.take(RDD.scala:1279)

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