org.apache.spark.sql.execution.streaming

Offset

abstract class Offset extends AnyRef

An offset is a monotonically increasing metric used to track progress in the computation of a stream. Since offsets are retrieved from a Source by a single thread, we know the global ordering of two Offset instances. We do assume that if two offsets are equal then no new data has arrived.

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Instance Constructors

  1. new Offset()

Abstract Value Members

  1. abstract def json: String

    A JSON-serialized representation of an Offset that is used for saving offsets to the offset log.

    A JSON-serialized representation of an Offset that is used for saving offsets to the offset log. Note: We assume that equivalent/equal offsets serialize to identical JSON strings.

    returns

    JSON string encoding

Concrete Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  7. def clone(): AnyRef

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

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  9. def equals(obj: Any): Boolean

    Equality based on JSON string representation.

    Equality based on JSON string representation. We leverage the JSON representation for normalization between the Offset's in memory and on disk representations.

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  10. def finalize(): Unit

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

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

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  15. final def notify(): Unit

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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