RichExpression

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. final def asInstanceOf[T0]: T0

   

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5. def asSparkSQLExpr(implicit header: RecordHeader, df: DataFrame, parameters: CypherMap): Column

   

   Attempts to create a Spark SQL expression from the CAPS expression.

   Attempts to create a Spark SQL expression from the CAPS expression.

   header

   the header of the CAPSRecords in which the expression should be evaluated.

   df

   the dataframe containing the data over which the expression should be evaluated.

   parameters

   query parameters

   returns

   Some Spark SQL expression if the input was mappable, otherwise None.

6. def clone(): AnyRef

   

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7. def compare(comparator: (Column) ⇒ (Column) ⇒ Column, lhs: Expr, rhs: Expr)(implicit header: RecordHeader, df: DataFrame, parameters: CypherMap): Column

   

   This is possible without violating Cypher semantics because

   This is possible without violating Cypher semantics because

   • Spark SQL returns null when comparing across types (from initial investigation)
   • We never have multiple types per column in CAPS (yet)

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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

    

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12. def gt(c: Column): (Column) ⇒ Column

    

13. def gteq(c: Column): (Column) ⇒ Column

    

14. def hashCode(): Int

    

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15. final def isInstanceOf[T0]: Boolean

    

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16. def lt(c: Column): (Column) ⇒ Column

    

17. def lteq(c: Column): (Column) ⇒ Column

    

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

    

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19. final def notify(): Unit

    

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20. final def notifyAll(): Unit

    

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

    

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22. def toString(): String

    

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23. def verify(implicit header: RecordHeader): Unit

    

24. final def wait(): Unit

    

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

    

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

    

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