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c

org.apache.spark.sql.execution.streaming

AvailableNowSourceWrapper

class AvailableNowSourceWrapper extends AvailableNowDataStreamWrapper with Source

This class wraps a Source and makes it supports Trigger.AvailableNow.

See AvailableNowDataStreamWrapper for more details.

Linear Supertypes
Source, AvailableNowDataStreamWrapper, Logging, SupportsTriggerAvailableNow, SupportsAdmissionControl, SparkDataStream, AnyRef, Any
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  2. By Inheritance
Inherited
  1. AvailableNowSourceWrapper
  2. Source
  3. AvailableNowDataStreamWrapper
  4. Logging
  5. SupportsTriggerAvailableNow
  6. SupportsAdmissionControl
  7. SparkDataStream
  8. AnyRef
  9. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new AvailableNowSourceWrapper(delegate: Source)

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. def commit(end: connector.read.streaming.Offset): Unit
    Definition Classes
    Source → SparkDataStream
  7. def commit(end: Offset): Unit

    Informs the source that Spark has completed processing all data for offsets less than or equal to end and will only request offsets greater than end in the future.

    Informs the source that Spark has completed processing all data for offsets less than or equal to end and will only request offsets greater than end in the future.

    Definition Classes
    Source
  8. val delegate: SparkDataStream
  9. def deserializeOffset(json: String): connector.read.streaming.Offset
    Definition Classes
    Source → SparkDataStream
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  13. def getBatch(start: Option[Offset], end: Offset): DataFrame

    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 record. This method must always return the same data for a particular start and end pair; even after the Source has been restarted on a different node.

    Higher layers will always call this method with a value of start greater than or equal to the last value passed to commit and a value of end less than or equal to the last value returned by getOffset

    It is possible for the Offset type to be a SerializedOffset when it was obtained from the log. Moreover, StreamExecution only compares the Offset JSON representation to determine if the two objects are equal. This could have ramifications when upgrading Offset JSON formats i.e., two equivalent Offset objects could differ between version. Consequently, StreamExecution may call this method with two such equivalent Offset objects. In which case, the Source should return an empty DataFrame

    Definition Classes
    AvailableNowSourceWrapperSource
  14. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. def getDefaultReadLimit(): ReadLimit

    Always return ReadLimit.allAvailable

    Always return ReadLimit.allAvailable

    Definition Classes
    AvailableNowDataStreamWrapper → SupportsAdmissionControl
  16. def getOffset: Option[Offset]

    Returns the maximum available offset for this source.

    Returns the maximum available offset for this source. Returns None if this source has never received any data.

    Definition Classes
    AvailableNowSourceWrapperSource
  17. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  18. def initialOffset(): connector.read.streaming.Offset
    Definition Classes
    Source → SparkDataStream
  19. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  20. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  21. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  22. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  23. def latestOffset(startOffset: connector.read.streaming.Offset, limit: ReadLimit): connector.read.streaming.Offset

    Return the latest offset pre-fetched in prepareForTriggerAvailableNow.

    Return the latest offset pre-fetched in prepareForTriggerAvailableNow.

    Definition Classes
    AvailableNowDataStreamWrapper → SupportsAdmissionControl
  24. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  25. def logDebug(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  26. def logDebug(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  27. def logError(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  28. def logError(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  29. def logInfo(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  30. def logInfo(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  32. def logTrace(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  33. def logTrace(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  34. def logWarning(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  35. def logWarning(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  36. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  37. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  38. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  39. def prepareForTriggerAvailableNow(): Unit

    Fetch and store the latest offset for all available data at the beginning of the query.

    Fetch and store the latest offset for all available data at the beginning of the query.

    Definition Classes
    AvailableNowDataStreamWrapper → SupportsTriggerAvailableNow
  40. def reportLatestOffset(): connector.read.streaming.Offset
    Definition Classes
    AvailableNowDataStreamWrapper → SupportsAdmissionControl
  41. def schema: StructType

    Returns the schema of the data from this source

    Returns the schema of the data from this source

    Definition Classes
    AvailableNowSourceWrapperSource
  42. def stop(): Unit
    Definition Classes
    AvailableNowDataStreamWrapper → SparkDataStream
  43. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  44. def toString(): String
    Definition Classes
    AnyRef → Any
  45. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  46. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  47. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()

Inherited from Source

Inherited from Logging

Inherited from SupportsTriggerAvailableNow

Inherited from SupportsAdmissionControl

Inherited from SparkDataStream

Inherited from AnyRef

Inherited from Any

Ungrouped