org.apache.spark.sql.execution.streaming

FileStreamSource

class FileStreamSource extends Source with Logging

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

Linear Supertypes
Logging, Source, AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. FileStreamSource
  2. Logging
  3. Source
  4. AnyRef
  5. Any
  1. Hide All
  2. Show all
Learn more about member selection
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: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef

  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. 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

  9. def currentLogOffset: Long

    Return the latest offset in the FileStreamSourceLog

  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[java.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

  15. 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

  16. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  17. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    Attributes
    protected
    Definition Classes
    Logging

  18. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  19. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  20. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

  21. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  22. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  23. def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  24. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  25. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  26. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  27. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

  28. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  29. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  30. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  31. def logWarning(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

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

    Definition Classes
    AnyRef

  33. final def notify(): Unit

    Definition Classes
    AnyRef

  34. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  35. 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

  36. val seenFiles: SeenFilesMap

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

  37. def stop(): Unit

    Stop this source and free any resources it has allocated.

    Stop this source and free any resources it has allocated.

    Definition Classes
    FileStreamSource → Source

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

    Definition Classes
    AnyRef

  39. def toString(): String

    Definition Classes
    FileStreamSource → AnyRef → Any

  40. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  43. 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 AnyRef

Inherited from Any

Ungrouped