Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##: Int

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

5.  def clone(): AnyRef

   Attributes

   protected[lang]

   Definition Classes

   AnyRef

   Annotations

   @throws(classOf[java.lang.CloneNotSupportedException]) @native()

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

   Definition Classes

   AnyRef

7.  def equals(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef → Any

8.  def finalize(): Unit

   Attributes

   protected[lang]

   Definition Classes

   AnyRef

   Annotations

   @throws(classOf[java.lang.Throwable])

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

   Definition Classes

   AnyRef → Any

   Annotations

   @native()

10.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

11.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    Definition Classes

    AnyRef

13.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

14.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

15.  final def synchronized[T0](arg0: => T0): T0

    Definition Classes

    AnyRef

16.  def toString(): String

    Definition Classes

    AnyRef → Any

17.  def validateTimeTravelSpec(currSpecOpt: Option[DeltaTimeTravelSpec], newSpecOpt: Option[DeltaTimeTravelSpec]): Unit

    Ensures only a single time travel syntax is used (i.e.

    Ensures only a single time travel syntax is used (i.e. not version AND timestamp).

    Handles a breaking change between Spark 3.5 and 4.0 which added support for DataFrame-based time travel in Spark (https://github.com/apache/spark/pull/43403).

    TLDR: Starting in Spark 4.0, we end up with two time travel specifications in DeltaTableV2 if options are used to specify the time travel version/timestamp. This breaks an existing check we had (against Spark 3.5) which ensures only one time travel specification is used.

    The solution to get around this is just to ignore two specs if they are the same. If the user did actually provide two different time travel specs, that would have been caught by Spark earlier.

18.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws(classOf[java.lang.InterruptedException])

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

    Definition Classes

    AnyRef

    Annotations

    @throws(classOf[java.lang.InterruptedException])

20.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws(classOf[java.lang.InterruptedException]) @native()