object ExprChecks
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!=(arg0: Any): Boolean
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##(): Int
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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.
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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.
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final
def
asInstanceOf[T0]: T0
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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.
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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.
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clone(): AnyRef
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def
eq(arg0: AnyRef): Boolean
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equals(arg0: Any): Boolean
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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.
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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.
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final
def
getClass(): Class[_]
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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.
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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val
mathUnary: ExprChecks
Math unary checks where input and output are both DoubleType.
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val
mathUnaryWithAst: ExprChecks
Math unary checks where input and output are both DoubleType and AST is supported.
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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
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.
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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.
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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.
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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def
unaryProject(outputCheck: TypeSig, sparkOutputSig: TypeSig, inputCheck: TypeSig, sparkInputSig: TypeSig): ExprChecks
A check for a unary expression that only support project.
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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.
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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.
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def
unaryProjectInputMatchesOutput(check: TypeSig, sparkSig: TypeSig): ExprChecks
Unary expression checks for project where the input matches the output.
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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final
def
wait(): Unit
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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.