trait AggregateOrBuilder extends MessageOrBuilder
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abstract
def
findInitializationErrors(): List[String]
- Definition Classes
- MessageOrBuilder
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abstract
def
getAggregateExpressions(index: Int): Expression
(Required) List of values that will be translated to columns in the output DataFrame.
(Required) List of values that will be translated to columns in the output DataFrame.
repeated .spark.connect.Expression aggregate_expressions = 4; -
abstract
def
getAggregateExpressionsCount(): Int
(Required) List of values that will be translated to columns in the output DataFrame.
(Required) List of values that will be translated to columns in the output DataFrame.
repeated .spark.connect.Expression aggregate_expressions = 4; -
abstract
def
getAggregateExpressionsList(): List[Expression]
(Required) List of values that will be translated to columns in the output DataFrame.
(Required) List of values that will be translated to columns in the output DataFrame.
repeated .spark.connect.Expression aggregate_expressions = 4; -
abstract
def
getAggregateExpressionsOrBuilder(index: Int): ExpressionOrBuilder
(Required) List of values that will be translated to columns in the output DataFrame.
(Required) List of values that will be translated to columns in the output DataFrame.
repeated .spark.connect.Expression aggregate_expressions = 4; -
abstract
def
getAggregateExpressionsOrBuilderList(): List[_ <: ExpressionOrBuilder]
(Required) List of values that will be translated to columns in the output DataFrame.
(Required) List of values that will be translated to columns in the output DataFrame.
repeated .spark.connect.Expression aggregate_expressions = 4; -
abstract
def
getAllFields(): Map[FieldDescriptor, AnyRef]
- Definition Classes
- MessageOrBuilder
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abstract
def
getDefaultInstanceForType(): Message
- Definition Classes
- MessageOrBuilder → MessageLiteOrBuilder
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abstract
def
getDescriptorForType(): Descriptor
- Definition Classes
- MessageOrBuilder
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abstract
def
getField(field: FieldDescriptor): AnyRef
- Definition Classes
- MessageOrBuilder
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abstract
def
getGroupType(): GroupType
(Required) How the RelationalGroupedDataset was built.
(Required) How the RelationalGroupedDataset was built.
.spark.connect.Aggregate.GroupType group_type = 2;- returns
The groupType.
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abstract
def
getGroupTypeValue(): Int
(Required) How the RelationalGroupedDataset was built.
(Required) How the RelationalGroupedDataset was built.
.spark.connect.Aggregate.GroupType group_type = 2;- returns
The enum numeric value on the wire for groupType.
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abstract
def
getGroupingExpressions(index: Int): Expression
(Required) Expressions for grouping keys
(Required) Expressions for grouping keys
repeated .spark.connect.Expression grouping_expressions = 3; -
abstract
def
getGroupingExpressionsCount(): Int
(Required) Expressions for grouping keys
(Required) Expressions for grouping keys
repeated .spark.connect.Expression grouping_expressions = 3; -
abstract
def
getGroupingExpressionsList(): List[Expression]
(Required) Expressions for grouping keys
(Required) Expressions for grouping keys
repeated .spark.connect.Expression grouping_expressions = 3; -
abstract
def
getGroupingExpressionsOrBuilder(index: Int): ExpressionOrBuilder
(Required) Expressions for grouping keys
(Required) Expressions for grouping keys
repeated .spark.connect.Expression grouping_expressions = 3; -
abstract
def
getGroupingExpressionsOrBuilderList(): List[_ <: ExpressionOrBuilder]
(Required) Expressions for grouping keys
(Required) Expressions for grouping keys
repeated .spark.connect.Expression grouping_expressions = 3; -
abstract
def
getInitializationErrorString(): String
- Definition Classes
- MessageOrBuilder
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abstract
def
getInput(): Relation
(Required) Input relation for a RelationalGroupedDataset.
(Required) Input relation for a RelationalGroupedDataset.
.spark.connect.Relation input = 1;- returns
The input.
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abstract
def
getInputOrBuilder(): RelationOrBuilder
(Required) Input relation for a RelationalGroupedDataset.
(Required) Input relation for a RelationalGroupedDataset.
.spark.connect.Relation input = 1; -
abstract
def
getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
- MessageOrBuilder
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abstract
def
getPivot(): Pivot
(Optional) Pivots a column of the current `DataFrame` and performs the specified aggregation.
(Optional) Pivots a column of the current `DataFrame` and performs the specified aggregation.
.spark.connect.Aggregate.Pivot pivot = 5;- returns
The pivot.
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abstract
def
getPivotOrBuilder(): PivotOrBuilder
(Optional) Pivots a column of the current `DataFrame` and performs the specified aggregation.
(Optional) Pivots a column of the current `DataFrame` and performs the specified aggregation.
.spark.connect.Aggregate.Pivot pivot = 5; -
abstract
def
getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
- Definition Classes
- MessageOrBuilder
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abstract
def
getRepeatedFieldCount(field: FieldDescriptor): Int
- Definition Classes
- MessageOrBuilder
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abstract
def
getUnknownFields(): UnknownFieldSet
- Definition Classes
- MessageOrBuilder
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abstract
def
hasField(field: FieldDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
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abstract
def
hasInput(): Boolean
(Required) Input relation for a RelationalGroupedDataset.
(Required) Input relation for a RelationalGroupedDataset.
.spark.connect.Relation input = 1;- returns
Whether the input field is set.
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abstract
def
hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
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abstract
def
hasPivot(): Boolean
(Optional) Pivots a column of the current `DataFrame` and performs the specified aggregation.
(Optional) Pivots a column of the current `DataFrame` and performs the specified aggregation.
.spark.connect.Aggregate.Pivot pivot = 5;- returns
Whether the pivot field is set.
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abstract
def
isInitialized(): Boolean
- Definition Classes
- MessageLiteOrBuilder
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final
def
!=(arg0: Any): Boolean
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==(arg0: Any): Boolean
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