Trait

org.apache.spark.sql.execution.streaming

Source

Related Doc: package streaming

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trait Source extends AnyRef

A source of continually arriving data for a streaming query. A Source must have a monotonically increasing notion of progress that can be represented as an Offset. Spark will regularly query each Source to see if any more data is available.

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AnyRef, Any
Known Subclasses
FileStreamSource, MemoryStream, TextSocketSource
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Abstract Value Members

  1. abstract def getBatch(start: Option[Offset], end: Offset): DataFrame

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    Returns the data that is between the offsets (start, end].

    Returns the data that is between the offsets (start, end]. When start is None then the batch should begin with the first available record. This method must always return the same data for a particular start and end pair.

  2. abstract def getOffset: Option[Offset]

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    Returns the maximum available offset for this source.

  3. abstract def schema: StructType

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    Returns the schema of the data from this source

  4. abstract def stop(): Unit

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    Stop this source and free any resources it has allocated.

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. final def ne(arg0: AnyRef): Boolean

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. final def synchronized[T0](arg0: ⇒ T0): T0

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  16. def toString(): String

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  17. final def wait(): Unit

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  18. final def wait(arg0: Long, arg1: Int): Unit

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  19. final def wait(arg0: Long): Unit

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