trait JoinOrBuilder extends MessageOrBuilder
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abstract
def
findInitializationErrors(): List[String]
- Definition Classes
- MessageOrBuilder
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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
getInitializationErrorString(): String
- Definition Classes
- MessageOrBuilder
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abstract
def
getJoinCondition(): Expression
(Optional) The join condition. Could be unset when `using_columns` is utilized. This field does not co-exist with using_columns.
(Optional) The join condition. Could be unset when `using_columns` is utilized. This field does not co-exist with using_columns.
.spark.connect.Expression join_condition = 3;- returns
The joinCondition.
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abstract
def
getJoinConditionOrBuilder(): ExpressionOrBuilder
(Optional) The join condition. Could be unset when `using_columns` is utilized. This field does not co-exist with using_columns.
(Optional) The join condition. Could be unset when `using_columns` is utilized. This field does not co-exist with using_columns.
.spark.connect.Expression join_condition = 3; -
abstract
def
getJoinDataType(): JoinDataType
(Optional) Only used by joinWith. Set the left and right join data types.
(Optional) Only used by joinWith. Set the left and right join data types.
optional .spark.connect.Join.JoinDataType join_data_type = 6;- returns
The joinDataType.
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abstract
def
getJoinDataTypeOrBuilder(): JoinDataTypeOrBuilder
(Optional) Only used by joinWith. Set the left and right join data types.
(Optional) Only used by joinWith. Set the left and right join data types.
optional .spark.connect.Join.JoinDataType join_data_type = 6; -
abstract
def
getJoinType(): JoinType
(Required) The join type.
(Required) The join type.
.spark.connect.Join.JoinType join_type = 4;- returns
The joinType.
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abstract
def
getJoinTypeValue(): Int
(Required) The join type.
(Required) The join type.
.spark.connect.Join.JoinType join_type = 4;- returns
The enum numeric value on the wire for joinType.
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abstract
def
getLeft(): Relation
(Required) Left input relation for a Join.
(Required) Left input relation for a Join.
.spark.connect.Relation left = 1;- returns
The left.
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abstract
def
getLeftOrBuilder(): RelationOrBuilder
(Required) Left input relation for a Join.
(Required) Left input relation for a Join.
.spark.connect.Relation left = 1; -
abstract
def
getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
- MessageOrBuilder
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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
getRight(): Relation
(Required) Right input relation for a Join.
(Required) Right input relation for a Join.
.spark.connect.Relation right = 2;- returns
The right.
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abstract
def
getRightOrBuilder(): RelationOrBuilder
(Required) Right input relation for a Join.
(Required) Right input relation for a Join.
.spark.connect.Relation right = 2; -
abstract
def
getUnknownFields(): UnknownFieldSet
- Definition Classes
- MessageOrBuilder
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abstract
def
getUsingColumns(index: Int): String
Optional. using_columns provides a list of columns that should present on both sides of the join inputs that this Join will join on. For example A JOIN B USING col_name is equivalent to A JOIN B on A.col_name = B.col_name. This field does not co-exist with join_condition.
Optional. using_columns provides a list of columns that should present on both sides of the join inputs that this Join will join on. For example A JOIN B USING col_name is equivalent to A JOIN B on A.col_name = B.col_name. This field does not co-exist with join_condition.
repeated string using_columns = 5;- index
The index of the element to return.
- returns
The usingColumns at the given index.
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abstract
def
getUsingColumnsBytes(index: Int): ByteString
Optional. using_columns provides a list of columns that should present on both sides of the join inputs that this Join will join on. For example A JOIN B USING col_name is equivalent to A JOIN B on A.col_name = B.col_name. This field does not co-exist with join_condition.
Optional. using_columns provides a list of columns that should present on both sides of the join inputs that this Join will join on. For example A JOIN B USING col_name is equivalent to A JOIN B on A.col_name = B.col_name. This field does not co-exist with join_condition.
repeated string using_columns = 5;- index
The index of the value to return.
- returns
The bytes of the usingColumns at the given index.
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abstract
def
getUsingColumnsCount(): Int
Optional. using_columns provides a list of columns that should present on both sides of the join inputs that this Join will join on. For example A JOIN B USING col_name is equivalent to A JOIN B on A.col_name = B.col_name. This field does not co-exist with join_condition.
Optional. using_columns provides a list of columns that should present on both sides of the join inputs that this Join will join on. For example A JOIN B USING col_name is equivalent to A JOIN B on A.col_name = B.col_name. This field does not co-exist with join_condition.
repeated string using_columns = 5;- returns
The count of usingColumns.
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abstract
def
getUsingColumnsList(): List[String]
Optional. using_columns provides a list of columns that should present on both sides of the join inputs that this Join will join on. For example A JOIN B USING col_name is equivalent to A JOIN B on A.col_name = B.col_name. This field does not co-exist with join_condition.
Optional. using_columns provides a list of columns that should present on both sides of the join inputs that this Join will join on. For example A JOIN B USING col_name is equivalent to A JOIN B on A.col_name = B.col_name. This field does not co-exist with join_condition.
repeated string using_columns = 5;- returns
A list containing the usingColumns.
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abstract
def
hasField(field: FieldDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
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abstract
def
hasJoinCondition(): Boolean
(Optional) The join condition. Could be unset when `using_columns` is utilized. This field does not co-exist with using_columns.
(Optional) The join condition. Could be unset when `using_columns` is utilized. This field does not co-exist with using_columns.
.spark.connect.Expression join_condition = 3;- returns
Whether the joinCondition field is set.
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abstract
def
hasJoinDataType(): Boolean
(Optional) Only used by joinWith. Set the left and right join data types.
(Optional) Only used by joinWith. Set the left and right join data types.
optional .spark.connect.Join.JoinDataType join_data_type = 6;- returns
Whether the joinDataType field is set.
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abstract
def
hasLeft(): Boolean
(Required) Left input relation for a Join.
(Required) Left input relation for a Join.
.spark.connect.Relation left = 1;- returns
Whether the left field is set.
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abstract
def
hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
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abstract
def
hasRight(): Boolean
(Required) Right input relation for a Join.
(Required) Right input relation for a Join.
.spark.connect.Relation right = 2;- returns
Whether the right field is set.
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abstract
def
isInitialized(): Boolean
- Definition Classes
- MessageLiteOrBuilder
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