Class

org.apache.spark.sql.execution.streaming

FileStreamSinkWriter

Related Doc: package streaming

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class FileStreamSinkWriter extends Serializable with Logging

Writes data given to a FileStreamSink to the given basePath in the given fileFormat, partitioned by the given partitionColumnNames. This writer always appends data to the directory if it already has data.

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Logging, Serializable, Serializable, AnyRef, Any
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Instance Constructors

  1. new FileStreamSinkWriter(data: DataFrame, fileFormat: FileFormat, basePath: String, partitionColumnNames: Seq[String], hadoopConf: Configuration, options: Map[String, String])

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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(arg0: Any): Boolean

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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. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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  12. final def isDebugEnabled: Boolean

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  13. final def isInfoEnabled: Boolean

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  14. final def isInstanceOf[T0]: Boolean

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  15. final def isTraceEnabled: Boolean

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  16. def log: Logger

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

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

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

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

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

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

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  23. def logName: String

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

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

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

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

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

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  29. final def notify(): Unit

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  30. final def notifyAll(): Unit

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

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  32. def toString(): String

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  33. final def wait(): Unit

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

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

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  36. def write(): Array[SinkFileStatus]

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    Write the dataframe to files.

    Write the dataframe to files. This gets called in the driver by the FileStreamSink.

  37. def writePartitionToPartitionedFiles(iterator: Iterator[InternalRow]): Seq[SinkFileStatus]

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    Writes a RDD partition to multiple dynamically partitioned files.

    Writes a RDD partition to multiple dynamically partitioned files. This gets called in the executor. It first sorts the data based on the partitioning columns and then writes the data of each key to separate files using OutputWriters.

  38. def writePartitionToSingleFile(iterator: Iterator[InternalRow]): SinkFileStatus

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    Writes a RDD partition to a single file without dynamic partitioning.

    Writes a RDD partition to a single file without dynamic partitioning. This gets called in the executor, and it uses a OutputWriter to write the data.

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

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