abstract class MemoryStreamBase[A] extends SparkDataStream
A base class for memory stream implementations. Supports adding data and resetting.
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Instance Constructors
- new MemoryStreamBase(sqlContext: SQLContext)(implicit arg0: Encoder[A])
Abstract Value Members
Concrete Value Members
- final def !=(arg0: Any): Boolean
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- final def ##: Int
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- final def ==(arg0: Any): Boolean
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- def addData(data: A*): connector.read.streaming.Offset
- final def asInstanceOf[T0]: T0
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- val attributes: Seq[AttributeReference]
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- def clone(): AnyRef
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- def commit(end: connector.read.streaming.Offset): Unit
- Definition Classes
- MemoryStreamBase → SparkDataStream
- def deserializeOffset(json: String): connector.read.streaming.Offset
- Definition Classes
- MemoryStreamBase → SparkDataStream
- val encoder: ExpressionEncoder[A]
- final def eq(arg0: AnyRef): Boolean
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- def equals(arg0: AnyRef): Boolean
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- def finalize(): Unit
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- def fullSchema(): StructType
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- def hashCode(): Int
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- @native()
- def initialOffset(): connector.read.streaming.Offset
- Definition Classes
- MemoryStreamBase → SparkDataStream
- final def isInstanceOf[T0]: Boolean
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- val logicalPlan: LogicalPlan
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- final def ne(arg0: AnyRef): Boolean
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- final def synchronized[T0](arg0: => T0): T0
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- def toDF(): DataFrame
- def toDS(): Dataset[A]
- lazy val toRow: Serializer[A]
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- def toString(): String
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- final def wait(): Unit
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- final def wait(arg0: Long): Unit
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