Packages

class FileStreamSource extends SupportsAdmissionControl with Source with Logging

A very simple source that reads files from the given directory as they appear.

Linear Supertypes
Logging, Source, SupportsAdmissionControl, SparkDataStream, AnyRef, Any
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  2. By Inheritance
Inherited
  1. FileStreamSource
  2. Logging
  3. Source
  4. SupportsAdmissionControl
  5. SparkDataStream
  6. AnyRef
  7. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new FileStreamSource(sparkSession: SparkSession, path: String, fileFormatClassName: String, schema: StructType, partitionColumns: Seq[String], metadataPath: String, options: Map[String, String])

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( ... ) @native()
  6. 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
    FileStreamSource → Source
  7. def commit(end: connector.read.streaming.Offset): Unit
    Definition Classes
    Source → SparkDataStream
  8. def currentLogOffset: Long

    Return the latest offset in the FileStreamSourceLog

  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: Any): 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].

    Definition Classes
    FileStreamSource → Source
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. def getDefaultReadLimit(): ReadLimit
    Definition Classes
    FileStreamSource → 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
    FileStreamSource → Source
  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
    Definition Classes
    FileStreamSource → 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. val schema: StructType

    Returns the schema of the data from this source

    Returns the schema of the data from this source

    Definition Classes
    FileStreamSource → Source
  40. val seenFiles: SeenFilesMap

    A mapping from a file that we have processed to some timestamp it was last modified.

  41. def stop(): Unit
    Definition Classes
    FileStreamSource → SparkDataStream
  42. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  43. def toString(): String
    Definition Classes
    FileStreamSource → AnyRef → Any
  44. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  45. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  46. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  47. def withBatchingLocked[T](func: ⇒ T): T

    For test only.

    For test only. Run func with the internal lock to make sure when func is running, the current offset won't be changed and no new batch will be emitted.

Inherited from Logging

Inherited from Source

Inherited from SupportsAdmissionControl

Inherited from SparkDataStream

Inherited from AnyRef

Inherited from Any

Ungrouped