java.lang.AbstractMethodError

GitHub | edanshalom | 2 months ago
  1. 0

    How to test a generic class?

    Google Groups | 9 months ago | Vincent Privat
    java.lang.AssertionError: Abstract delegation: AbstractSet's equals method delegates to an abstract method: null For more information, go to: http://www.jqno.nl/equalsverifier/errormessages
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    MemSQL Interface on CDH Spark over Yarn

    GitHub | 9 months ago | ecesena
    java.lang.AbstractMethodError
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    Error securesocial 2.1.4 with Play 2.3.5 with scala 2.10.4

    Google Groups | 2 years ago | Jorge Fabá Ferrández
    java.lang.AbstractMethodError

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    Root Cause Analysis

    1. java.lang.AbstractMethodError

      No message provided

      at org.apache.spark.sql.catalyst.expressions.Expression$$anonfun$genCode$2.apply()
    2. Spark Project Catalyst
      Expression$$anonfun$genCode$2.apply
      1. org.apache.spark.sql.catalyst.expressions.Expression$$anonfun$genCode$2.apply(Expression.scala:104)
      2. org.apache.spark.sql.catalyst.expressions.Expression$$anonfun$genCode$2.apply(Expression.scala:101)
      2 frames
    3. Scala
      Option.getOrElse
      1. scala.Option.getOrElse(Option.scala:121)
      1 frame
    4. Spark Project Catalyst
      Expression.genCode
      1. org.apache.spark.sql.catalyst.expressions.Expression.genCode(Expression.scala:101)
      1 frame
    5. Spark Project SQL
      ProjectExec$$anonfun$5.apply
      1. org.apache.spark.sql.execution.ProjectExec$$anonfun$5.apply(basicPhysicalOperators.scala:57)
      2. org.apache.spark.sql.execution.ProjectExec$$anonfun$5.apply(basicPhysicalOperators.scala:57)
      2 frames
    6. Scala
      AbstractTraversable.map
      1. scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
      2. scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
      3. scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
      4. scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
      5. scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
      6. scala.collection.AbstractTraversable.map(Traversable.scala:104)
      6 frames
    7. Spark Project SQL
      SparkPlan$$anonfun$executeQuery$1.apply
      1. org.apache.spark.sql.execution.ProjectExec.doConsume(basicPhysicalOperators.scala:57)
      2. org.apache.spark.sql.execution.CodegenSupport$class.consume(WholeStageCodegenExec.scala:153)
      3. org.apache.spark.sql.execution.InputAdapter.consume(WholeStageCodegenExec.scala:218)
      4. org.apache.spark.sql.execution.InputAdapter.doProduce(WholeStageCodegenExec.scala:244)
      5. org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:83)
      6. org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:78)
      7. org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
      7 frames
    8. Spark
      RDDOperationScope$.withScope
      1. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
      1 frame
    9. Spark Project SQL
      SparkPlan$$anonfun$executeQuery$1.apply
      1. org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
      2. org.apache.spark.sql.execution.CodegenSupport$class.produce(WholeStageCodegenExec.scala:78)
      3. org.apache.spark.sql.execution.InputAdapter.produce(WholeStageCodegenExec.scala:218)
      4. org.apache.spark.sql.execution.ProjectExec.doProduce(basicPhysicalOperators.scala:40)
      5. org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:83)
      6. org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:78)
      7. org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
      7 frames
    10. Spark
      RDDOperationScope$.withScope
      1. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
      1 frame
    11. Spark Project SQL
      SparkPlan$$anonfun$executeQuery$1.apply
      1. org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
      2. org.apache.spark.sql.execution.CodegenSupport$class.produce(WholeStageCodegenExec.scala:78)
      3. org.apache.spark.sql.execution.ProjectExec.produce(basicPhysicalOperators.scala:30)
      4. org.apache.spark.sql.execution.WholeStageCodegenExec.doCodeGen(WholeStageCodegenExec.scala:309)
      5. org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:347)
      6. org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
      7. org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
      8. org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
      8 frames
    12. Spark
      RDDOperationScope$.withScope
      1. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
      1 frame
    13. Spark Project SQL
      Dataset.show
      1. org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
      2. org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114)
      3. org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:240)
      4. org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:323)
      5. org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:39)
      6. org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2183)
      7. org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
      8. org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2532)
      9. org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2182)
      10. org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2189)
      11. org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1925)
      12. org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1924)
      13. org.apache.spark.sql.Dataset.withTypedCallback(Dataset.scala:2562)
      14. org.apache.spark.sql.Dataset.head(Dataset.scala:1924)
      15. org.apache.spark.sql.Dataset.take(Dataset.scala:2139)
      16. org.apache.spark.sql.Dataset.showString(Dataset.scala:239)
      17. org.apache.spark.sql.Dataset.show(Dataset.scala:526)
      18. org.apache.spark.sql.Dataset.show(Dataset.scala:486)
      19. org.apache.spark.sql.Dataset.show(Dataset.scala:495)
      19 frames