final class NADrop extends GeneratedMessageV3 with NADropOrBuilder
Drop rows containing null values. It will invoke 'Dataset.na.drop' (same as 'DataFrameNaFunctions.drop') to compute the results.
Protobuf type spark.connect.NADrop
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- def getCols(index: Int): String
(Optional) Optional list of column names to consider. When it is empty, all the columns in the input relation will be considered.
(Optional) Optional list of column names to consider. When it is empty, all the columns in the input relation will be considered.
repeated string cols = 2;- index
The index of the element to return.
- returns
The cols at the given index.
- Definition Classes
- NADrop → NADropOrBuilder
- def getColsBytes(index: Int): ByteString
(Optional) Optional list of column names to consider. When it is empty, all the columns in the input relation will be considered.
(Optional) Optional list of column names to consider. When it is empty, all the columns in the input relation will be considered.
repeated string cols = 2;- index
The index of the value to return.
- returns
The bytes of the cols at the given index.
- Definition Classes
- NADrop → NADropOrBuilder
- def getColsCount(): Int
(Optional) Optional list of column names to consider. When it is empty, all the columns in the input relation will be considered.
(Optional) Optional list of column names to consider. When it is empty, all the columns in the input relation will be considered.
repeated string cols = 2;- returns
The count of cols.
- Definition Classes
- NADrop → NADropOrBuilder
- def getColsList(): ProtocolStringList
(Optional) Optional list of column names to consider. When it is empty, all the columns in the input relation will be considered.
(Optional) Optional list of column names to consider. When it is empty, all the columns in the input relation will be considered.
repeated string cols = 2;- returns
A list containing the cols.
- Definition Classes
- NADrop → NADropOrBuilder
- def getDefaultInstanceForType(): NADrop
- Definition Classes
- NADrop → MessageOrBuilder → MessageLiteOrBuilder
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- def getField(field: FieldDescriptor): AnyRef
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- def getInput(): Relation
(Required) The input relation.
(Required) The input relation.
.spark.connect.Relation input = 1;- returns
The input.
- Definition Classes
- NADrop → NADropOrBuilder
- Annotations
- @Override()
- def getInputOrBuilder(): RelationOrBuilder
(Required) The input relation.
(Required) The input relation.
.spark.connect.Relation input = 1;- Definition Classes
- NADrop → NADropOrBuilder
- Annotations
- @Override()
- def getMinNonNulls(): Int
(Optional) The minimum number of non-null and non-NaN values required to keep. When not set, it is equivalent to the number of considered columns, which means a row will be kept only if all columns are non-null. 'how' options ('all', 'any') can be easily converted to this field: - 'all' -> set 'min_non_nulls' 1; - 'any' -> keep 'min_non_nulls' unset;(Optional) The minimum number of non-null and non-NaN values required to keep. When not set, it is equivalent to the number of considered columns, which means a row will be kept only if all columns are non-null. 'how' options ('all', 'any') can be easily converted to this field: - 'all' -> set 'min_non_nulls' 1; - 'any' -> keep 'min_non_nulls' unset;optional int32 min_non_nulls = 3;- returns
The minNonNulls.
- Definition Classes
- NADrop → NADropOrBuilder
- Annotations
- @Override()
- def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
- GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
- def getParserForType(): Parser[NADrop]
- Definition Classes
- NADrop → GeneratedMessageV3 → Message → MessageLite
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- def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
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- GeneratedMessageV3 → MessageOrBuilder
- def getRepeatedFieldCount(field: FieldDescriptor): Int
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getSerializedSize(): Int
- Definition Classes
- NADrop → GeneratedMessageV3 → AbstractMessage → MessageLite
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- @Override()
- def getUnknownFields(): UnknownFieldSet
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def hasField(field: FieldDescriptor): Boolean
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def hasInput(): Boolean
(Required) The input relation.
(Required) The input relation.
.spark.connect.Relation input = 1;- returns
Whether the input field is set.
- Definition Classes
- NADrop → NADropOrBuilder
- Annotations
- @Override()
- def hasMinNonNulls(): Boolean
(Optional) The minimum number of non-null and non-NaN values required to keep. When not set, it is equivalent to the number of considered columns, which means a row will be kept only if all columns are non-null. 'how' options ('all', 'any') can be easily converted to this field: - 'all' -> set 'min_non_nulls' 1; - 'any' -> keep 'min_non_nulls' unset;(Optional) The minimum number of non-null and non-NaN values required to keep. When not set, it is equivalent to the number of considered columns, which means a row will be kept only if all columns are non-null. 'how' options ('all', 'any') can be easily converted to this field: - 'all' -> set 'min_non_nulls' 1; - 'any' -> keep 'min_non_nulls' unset;optional int32 min_non_nulls = 3;- returns
Whether the minNonNulls field is set.
- Definition Classes
- NADrop → NADropOrBuilder
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- @Override()
- def hasOneof(oneof: OneofDescriptor): Boolean
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- GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
- def hashCode(): Int
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- NADrop → AbstractMessage → Message → AnyRef → Any
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- def internalGetFieldAccessorTable(): FieldAccessorTable
- def internalGetMapField(fieldNumber: Int): MapField[_ <: AnyRef, _ <: AnyRef]
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- protected[protobuf]
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- protected[protobuf]
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- final def synchronized[T0](arg0: => T0): T0
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- def toByteArray(): Array[Byte]
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