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org.opencypher.spark.impl

CAPSFunctions

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object CAPSFunctions

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  1. implicit class RichColumn extends AnyRef

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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 array_append_long(array: Column, value: Column): Column

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  5. def array_contains(column: Column, value: Column): Column

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    Alternative version of array_contains that takes a column as the value.

  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  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 get_node_labels(labelNames: Seq[String]): UserDefinedFunction

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  13. def get_property_keys(propertyKeys: Seq[String]): UserDefinedFunction

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  14. def get_rel_type(relTypeNames: Seq[String]): UserDefinedFunction

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def partitioned_id_assignment(partitionStartDelta: Int): Column

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    Configurable wrapper around monotonically_increasing_id

    Configurable wrapper around monotonically_increasing_id

    partitionStartDelta

    Conceptually this number is added to the partitionIndex from which the Spark function monotonically_increasing_id starts assigning IDs.

  21. val rangeUdf: UserDefinedFunction

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

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  23. def toString(): String

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  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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