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    Delete the corrupted index files and on startup, Kafka server will rebuild it.

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via Stack Overflow by Igor Kustov
, 1 year ago
Failed to execute user defined function($anonfun$1: (vector) => double)
via GitHub by jon-morra-zefr
, 1 year ago
Failed to execute user defined function(anonfun$2: (string) => zefr__commons__proto__dimension)
via Stack Overflow by Praveen
, 1 year ago
Job aborted due to stage failure: Task 0 in stage 98.0 failed 1 times, most recent failure: Lost task 0.0 in stage 98.0 (TID 338, localhost): org.apache.spark.SparkException: Failed to execute user defined function($anonfun$3: (struct) => vector)
via Stack Overflow by Baktaawar
, 1 year ago
Job aborted due to stage failure: Task 0 in stage 136.0 failed 1 times, most recent failure: Lost task 0.0 in stage 136.0 (TID 131, localhost): org.apache.spark.SparkException: Failed to execute user defined function($anonfun$4: (string) => double)
via Stack Overflow by Lior
, 1 year ago
Failed to execute user defined function($anonfun$4: (string) => double)
via Stack Overflow by Praveen kumar
, 1 month ago
Failed to execute user defined function($anonfun$5: (string) => double)
java.lang.IllegalArgumentException: requirement failed: A & B Dimension mismatch!	at scala.Predef$.require(Predef.scala:224)	at org.apache.spark.ml.ann.BreezeUtil$.dgemm(BreezeUtil.scala:41)	at org.apache.spark.ml.ann.AffineLayerModel.eval(Layer.scala:164)	at org.apache.spark.ml.ann.FeedForwardModel.forward(Layer.scala:483)	at org.apache.spark.ml.ann.FeedForwardModel.predict(Layer.scala:530)	at org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel.predict(MultilayerPerceptronClassifier.scala:322)	at org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel.predict(MultilayerPerceptronClassifier.scala:296)	at org.apache.spark.ml.PredictionModel$$anonfun$1.apply(Predictor.scala:187)	at org.apache.spark.ml.PredictionModel$$anonfun$1.apply(Predictor.scala:186)	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)	at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246)	at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240)	at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)	at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)	at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)	at org.apache.spark.scheduler.Task.run(Task.scala:86)	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)	at java.lang.Thread.run(Thread.java:745)