ExprChecks

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. def aggNotReduction(outputCheck: TypeSig, sparkOutputSig: TypeSig, paramCheck: Seq[ParamCheck] = Seq.empty, repeatingParamCheck: Option[RepeatingParamCheck] = None): ExprChecks

   

   An aggregation check where group by and window operations are supported by the plugin, but Spark also supports reduction on these.

5. def aggNotWindow(outputCheck: TypeSig, sparkOutputSig: TypeSig, paramCheck: Seq[ParamCheck] = Seq.empty, repeatingParamCheck: Option[RepeatingParamCheck] = None): ExprChecks

   

   An aggregation check where group by and reduction are supported by the plugin, but Spark also supports window operations on these.

6. final def asInstanceOf[T0]: T0

   

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7. def binaryProject(outputCheck: TypeSig, sparkOutputSig: TypeSig, param1: (String, TypeSig, TypeSig), param2: (String, TypeSig, TypeSig)): ExprChecks

   

   Helper function for a binary expression where the plugin only supports project.

8. def binaryProjectAndAst(allowedAstTypes: TypeSig, outputCheck: TypeSig, sparkOutputSig: TypeSig, param1: (String, TypeSig, TypeSig), param2: (String, TypeSig, TypeSig)): ExprChecks

   

   Helper function for a binary expression where the plugin supports project and AST.

9. def clone(): AnyRef

   

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   protected[java.lang]

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10. final def eq(arg0: AnyRef): Boolean

    

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11. def equals(arg0: Any): Boolean

    

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12. def finalize(): Unit

    

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    protected[java.lang]

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13. def fullAgg(outputCheck: TypeSig, sparkOutputSig: TypeSig, paramCheck: Seq[ParamCheck] = Seq.empty, repeatingParamCheck: Option[RepeatingParamCheck] = None): ExprChecks

    

    Aggregate operation where window, reduction, and group by agg are all supported the same.

14. def fullAggAndProject(outputCheck: TypeSig, sparkOutputSig: TypeSig, paramCheck: Seq[ParamCheck] = Seq.empty, repeatingParamCheck: Option[RepeatingParamCheck] = None): ExprChecks

    

    For a generic expression that can work as both an aggregation and in the project context.

    For a generic expression that can work as both an aggregation and in the project context. This is really just for PythonUDF.

15. final def getClass(): Class[_]

    

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16. def groupByOnly(outputCheck: TypeSig, sparkOutputSig: TypeSig, paramCheck: Seq[ParamCheck] = Seq.empty, repeatingParamCheck: Option[RepeatingParamCheck] = None): ExprChecks

    

    An aggregation check where group by is supported by the plugin, but Spark also supports reduction and window operations on these.

17. def hashCode(): Int

    

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18. final def isInstanceOf[T0]: Boolean

    

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19. val mathUnary: ExprChecks

    

    Math unary checks where input and output are both DoubleType.

20. val mathUnaryWithAst: ExprChecks

    

    Math unary checks where input and output are both DoubleType and AST is supported.

21. final def ne(arg0: AnyRef): Boolean

    

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22. final def notify(): Unit

    

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23. final def notifyAll(): Unit

    

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24. def projectAndAst(allowedAstTypes: TypeSig, outputCheck: TypeSig, sparkOutputSig: TypeSig, paramCheck: Seq[ParamCheck] = Seq.empty, repeatingParamCheck: Option[RepeatingParamCheck] = None): ExprChecks

    

    A check for an expression that supports project and as much of AST as it can.

25. def projectOnly(outputCheck: TypeSig, sparkOutputSig: TypeSig, paramCheck: Seq[ParamCheck] = Seq.empty, repeatingParamCheck: Option[RepeatingParamCheck] = None): ExprChecks

    

    A check for an expression that only supports project.

26. def reductionAndGroupByAgg(outputCheck: TypeSig, sparkOutputSig: TypeSig, paramCheck: Seq[ParamCheck] = Seq.empty, repeatingParamCheck: Option[RepeatingParamCheck] = None): ExprChecks

    

    Aggregate operation where only group by agg and reduction is supported in the plugin and in Spark.

27. final def synchronized[T0](arg0: ⇒ T0): T0

    

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28. def toString(): String

    

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29. def unaryProject(outputCheck: TypeSig, sparkOutputSig: TypeSig, inputCheck: TypeSig, sparkInputSig: TypeSig): ExprChecks

    

    A check for a unary expression that only support project.

30. def unaryProjectAndAst(allowedAstTypes: TypeSig, outputCheck: TypeSig, sparkOutputSig: TypeSig, inputCheck: TypeSig, sparkInputSig: TypeSig): ExprChecks

    

    A check for a unary expression that supports project and as much AST as it can.

31. def unaryProjectAndAstInputMatchesOutput(allowedAstTypes: TypeSig, check: TypeSig, sparkSig: TypeSig): ExprChecks

    

    Unary expression checks for project where the input matches the output and it also supports as much of AST as it can.

32. def unaryProjectInputMatchesOutput(check: TypeSig, sparkSig: TypeSig): ExprChecks

    

    Unary expression checks for project where the input matches the output.

33. final def wait(): Unit

    

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34. final def wait(arg0: Long, arg1: Int): Unit

    

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35. final def wait(arg0: Long): Unit

    

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36. def windowOnly(outputCheck: TypeSig, sparkOutputSig: TypeSig, paramCheck: Seq[ParamCheck] = Seq.empty, repeatingParamCheck: Option[RepeatingParamCheck] = None): ExprChecks

    

    Window only operations.

    Window only operations. Spark does not support these operations as anything but a window operation.