trait AggregateOrBuilder extends MessageOrBuilder
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- abstract def findInitializationErrors(): List[String]
- Definition Classes
- MessageOrBuilder
- 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
- abstract def getDefaultInstanceForType(): Message
- Definition Classes
- MessageOrBuilder → MessageLiteOrBuilder
- abstract def getDescriptorForType(): Descriptor
- Definition Classes
- MessageOrBuilder
- abstract def getField(field: FieldDescriptor): AnyRef
- Definition Classes
- MessageOrBuilder
- 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.
- 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.
- 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 getGroupingSets(index: Int): GroupingSets
(Optional) List of values that will be translated to columns in the output DataFrame.
(Optional) List of values that will be translated to columns in the output DataFrame.
repeated .spark.connect.Aggregate.GroupingSets grouping_sets = 6; - abstract def getGroupingSetsCount(): Int
(Optional) List of values that will be translated to columns in the output DataFrame.
(Optional) List of values that will be translated to columns in the output DataFrame.
repeated .spark.connect.Aggregate.GroupingSets grouping_sets = 6; - abstract def getGroupingSetsList(): List[GroupingSets]
(Optional) List of values that will be translated to columns in the output DataFrame.
(Optional) List of values that will be translated to columns in the output DataFrame.
repeated .spark.connect.Aggregate.GroupingSets grouping_sets = 6; - abstract def getGroupingSetsOrBuilder(index: Int): GroupingSetsOrBuilder
(Optional) List of values that will be translated to columns in the output DataFrame.
(Optional) List of values that will be translated to columns in the output DataFrame.
repeated .spark.connect.Aggregate.GroupingSets grouping_sets = 6; - abstract def getGroupingSetsOrBuilderList(): List[_ <: GroupingSetsOrBuilder]
(Optional) List of values that will be translated to columns in the output DataFrame.
(Optional) List of values that will be translated to columns in the output DataFrame.
repeated .spark.connect.Aggregate.GroupingSets grouping_sets = 6; - abstract def getInitializationErrorString(): String
- Definition Classes
- MessageOrBuilder
- abstract def getInput(): Relation
(Required) Input relation for a RelationalGroupedDataset.
(Required) Input relation for a RelationalGroupedDataset.
.spark.connect.Relation input = 1;- returns
The input.
- 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
- 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.
- 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
- abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
- Definition Classes
- MessageOrBuilder
- abstract def getUnknownFields(): UnknownFieldSet
- Definition Classes
- MessageOrBuilder
- abstract def hasField(field: FieldDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- 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.
- abstract def hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- 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.
- abstract def isInitialized(): Boolean
- Definition Classes
- MessageLiteOrBuilder
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- Deprecated
(Since version 9)