ava.lang.ArrayIndexOutOfBoundsException: 65535

GitHub | sanchopansa | 3 months ago
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  1. 0

    ArrayIndexOutOfBoundsException when loading a larger data sample

    GitHub | 3 months ago | sanchopansa
    ava.lang.ArrayIndexOutOfBoundsException: 65535
  2. 0

    Sparkling water often throws java.lang.ArrayIndexOutOfBoundsException: 65535

    Stack Overflow | 1 week ago | DINESHKUMAR MURUGAN
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 316 in stage 22.0 failed 4 times, most recent failure: Lost task 316.3 in stage 22.0 (TID 9470, ip-**-***-***-**.ec2.internal): java.lang.ArrayIndexOutOfBoundsException: 65535
  3. 0

    Integrating Spark MLLib algorithm to H2O ai using Sparkling water

    Stack Overflow | 2 months ago | mvg
    java.util.NoSuchElementException: key not found: StructType(StructField(user,IntegerType,false), StructField(product,IntegerType,false), StructField(rating,DoubleType,false))
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  5. 0

    Execute: {noformat} df.select("created_date").first() Row(created_date=datetime.date(2006, 10, 3)) context.as_h2o_frame(df.select("created_date")) {noformat} THrows {noformat} Py4JJavaError: An error occurred while calling o70.asH2OFrame. : java.util.NoSuchElementException: key not found: DateType at scala.collection.MapLike$class.default(MapLike.scala:228) at scala.collection.AbstractMap.default(Map.scala:59) at scala.collection.MapLike$class.apply(MapLike.scala:141) at scala.collection.AbstractMap.apply(Map.scala:59) at org.apache.spark.h2o.utils.ReflectionUtils$.supportedTypeOf(ReflectionUtils.scala:110) at org.apache.spark.h2o.converters.SparkDataFrameConverter$$anonfun$4.apply(SparkDataFrameConverter.scala:70) at org.apache.spark.h2o.converters.SparkDataFrameConverter$$anonfun$4.apply(SparkDataFrameConverter.scala:70) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.spark.h2o.converters.SparkDataFrameConverter$.toH2OFrame(SparkDataFrameConverter.scala:70) at org.apache.spark.h2o.H2OContext.asH2OFrame(H2OContext.scala:132) at org.apache.spark.h2o.H2OContext.asH2OFrame(H2OContext.scala:133) at org.apache.spark.h2o.JavaH2OContext.asH2OFrame(JavaH2OContext.java:100) 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:237) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:280) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:214) at java.lang.Thread.run(Thread.java:745) {noformat}

    JIRA | 3 months ago | Michal Malohlava
    java.util.NoSuchElementException: key not found: DateType

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    Root Cause Analysis

    1. ava.lang.ArrayIndexOutOfBoundsException

      65535

      at water.DKV.get()
    2. water
      Key.get
      1. water.DKV.get(DKV.java:202)
      2. water.DKV.get(DKV.java:175)
      3. water.Key.get(Key.java:83)
      3 frames
    3. water.fvec
      FrameUtils$.createNewChunks
      1. water.fvec.Frame.createNewChunks(Frame.java:887)
      2. water.fvec.FrameUtils$class.createNewChunks(FrameUtils.scala:43)
      3. water.fvec.FrameUtils$.createNewChunks(FrameUtils.scala:70)
      3 frames
    4. org.apache.spark
      SparkDataFrameConverter$$anonfun$toH2OFrame$1$$anonfun$apply$2.apply
      1. org.apache.spark.h2o.backends.internal.InternalWriteConverterCtx.createChunks(InternalWriteConverterCtx.scala:29)
      2. org.apache.spark.h2o.converters.SparkDataFrameConverter$.org$apache$spark$h2o$converters$SparkDataFrameConverter$$perSQLPartition(SparkDataFrameConverter.scala:94)
      3. org.apache.spark.h2o.converters.SparkDataFrameConverter$$anonfun$toH2OFrame$1$$anonfun$apply$2.apply(SparkDataFrameConverter.scala:73)
      4. org.apache.spark.h2o.converters.SparkDataFrameConverter$$anonfun$toH2OFrame$1$$anonfun$apply$2.apply(SparkDataFrameConverter.scala:73)
      4 frames
    5. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
      2. org.apache.spark.scheduler.Task.run(Task.scala:86)
      3. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
      3 frames
    6. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames