trait TransformWithStateInfoOrBuilder extends MessageOrBuilder
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- @Generated()
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- MessageOrBuilder
- MessageLiteOrBuilder
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Abstract Value Members
- abstract def findInitializationErrors(): List[String]
- Definition Classes
- MessageOrBuilder
- 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 getEventTimeColumnName(): String
(Optional) Event time column name.
(Optional) Event time column name.
optional string event_time_column_name = 2;- returns
The eventTimeColumnName.
- abstract def getEventTimeColumnNameBytes(): ByteString
(Optional) Event time column name.
(Optional) Event time column name.
optional string event_time_column_name = 2;- returns
The bytes for eventTimeColumnName.
- abstract def getField(field: FieldDescriptor): AnyRef
- Definition Classes
- MessageOrBuilder
- abstract def getInitializationErrorString(): String
- Definition Classes
- MessageOrBuilder
- abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
- MessageOrBuilder
- abstract def getOutputSchema(): DataType
(Optional) Schema for the output DataFrame. Only required used for TransformWithStateInPandas.
(Optional) Schema for the output DataFrame. Only required used for TransformWithStateInPandas.
optional .spark.connect.DataType output_schema = 3;- returns
The outputSchema.
- abstract def getOutputSchemaOrBuilder(): DataTypeOrBuilder
(Optional) Schema for the output DataFrame. Only required used for TransformWithStateInPandas.
(Optional) Schema for the output DataFrame. Only required used for TransformWithStateInPandas.
optional .spark.connect.DataType output_schema = 3; - abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
- Definition Classes
- MessageOrBuilder
- abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
- Definition Classes
- MessageOrBuilder
- abstract def getTimeMode(): String
(Required) Time mode string for transformWithState.
(Required) Time mode string for transformWithState.
string time_mode = 1;- returns
The timeMode.
- abstract def getTimeModeBytes(): ByteString
(Required) Time mode string for transformWithState.
(Required) Time mode string for transformWithState.
string time_mode = 1;- returns
The bytes for timeMode.
- abstract def getUnknownFields(): UnknownFieldSet
- Definition Classes
- MessageOrBuilder
- abstract def hasEventTimeColumnName(): Boolean
(Optional) Event time column name.
(Optional) Event time column name.
optional string event_time_column_name = 2;- returns
Whether the eventTimeColumnName field is set.
- abstract def hasField(field: FieldDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- abstract def hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- abstract def hasOutputSchema(): Boolean
(Optional) Schema for the output DataFrame. Only required used for TransformWithStateInPandas.
(Optional) Schema for the output DataFrame. Only required used for TransformWithStateInPandas.
optional .spark.connect.DataType output_schema = 3;- returns
Whether the outputSchema field is set.
- abstract def isInitialized(): Boolean
- Definition Classes
- MessageLiteOrBuilder
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- final def !=(arg0: Any): Boolean
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- Definition Classes
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- def equals(arg0: AnyRef): Boolean
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- Definition Classes
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- Definition Classes
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- Definition Classes
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- Definition Classes
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- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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- Definition Classes
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- Definition Classes
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- def finalize(): Unit
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- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
(Since version 9)