java.lang.UnsupportedOperationException: Cannot evaluate expression: parse_df_to_string(input[1, int, true], input[2, int, true], input[3, int, true], input[4, int, true], input[5, int, true])

Stack Overflow | aks | 6 months ago
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    Stack Overflow | 6 months ago | aks
    java.lang.UnsupportedOperationException: Cannot evaluate expression: parse_df_to_string(input[1, int, true], input[2, int, true], input[3, int, true], input[4, int, true], input[5, int, true])
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    Root Cause Analysis

    1. java.lang.UnsupportedOperationException

      Cannot evaluate expression: parse_df_to_string(input[1, int, true], input[2, int, true], input[3, int, true], input[4, int, true], input[5, int, true])

      at org.apache.spark.sql.catalyst.expressions.Unevaluable$class.doGenCode()
    2. Spark Project Catalyst
      Unevaluable$class.doGenCode
      1. org.apache.spark.sql.catalyst.expressions.Unevaluable$class.doGenCode(Expression.scala:224)
      1 frame
    3. org.apache.spark
      PythonUDF.doGenCode
      1. org.apache.spark.sql.execution.python.PythonUDF.doGenCode(PythonUDF.scala:27)
      1 frame
    4. 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$$anonfun$genCode$2.apply(Expression.scala:101)
      2 frames
    5. Scala
      Option.getOrElse
      1. scala.Option.getOrElse(Option.scala:121)
      1 frame
    6. Spark Project Catalyst
      CodegenContext$$anonfun$generateExpressions$1.apply
      1. org.apache.spark.sql.catalyst.expressions.Expression.genCode(Expression.scala:101)
      2. org.apache.spark.sql.catalyst.expressions.codegen.CodegenContext$$anonfun$generateExpressions$1.apply(CodeGenerator.scala:740)
      3. org.apache.spark.sql.catalyst.expressions.codegen.CodegenContext$$anonfun$generateExpressions$1.apply(CodeGenerator.scala:740)
      3 frames