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abstract class Offset extends AnyRef

An abstract representation of progress through a MicroBatchStream or ContinuousStream. During execution, offsets provided by the data source implementation will be logged and used as restart checkpoints. Each source should provide an offset implementation which the source can use to reconstruct a position in the stream up to which data has been seen/processed.

Since

3.0.0

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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: 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(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 deserialized and serialized representations.

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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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