object typed
Type-safe functions available for Dataset
operations in Scala.
Java users should use org.apache.spark.sql.expressions.javalang.typed.
- Annotations
- @deprecated
- Deprecated
(Since version 3.0.0) please use untyped builtin aggregate functions.
- Source
- typed.scala
- Since
2.0.0
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- typed
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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def
avg[IN](f: (IN) ⇒ Double): TypedColumn[IN, Double]
Average aggregate function.
Average aggregate function.
- Since
2.0.0
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def
clone(): AnyRef
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- protected[lang]
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def
count[IN](f: (IN) ⇒ Any): TypedColumn[IN, Long]
Count aggregate function.
Count aggregate function.
- Since
2.0.0
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
sum[IN](f: (IN) ⇒ Double): TypedColumn[IN, Double]
Sum aggregate function for floating point (double) type.
Sum aggregate function for floating point (double) type.
- Since
2.0.0
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def
sumLong[IN](f: (IN) ⇒ Long): TypedColumn[IN, Long]
Sum aggregate function for integral (long, i.e.
Sum aggregate function for integral (long, i.e. 64 bit integer) type.
- Since
2.0.0
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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