Class

org.apache.spark.sql.execution.streaming

MetadataLogFileCatalog

Related Doc: package streaming

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class MetadataLogFileCatalog extends PartitioningAwareFileCatalog

A FileCatalog that generates the list of files to processing by reading them from the metadata log files generated by the FileStreamSink.

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  1. MetadataLogFileCatalog
  2. PartitioningAwareFileCatalog
  3. Logging
  4. FileCatalog
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Instance Constructors

  1. new MetadataLogFileCatalog(sparkSession: SparkSession, path: Path)

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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. def allFiles(): Seq[FileStatus]

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    Returns all the valid files.

    Returns all the valid files.

    Definition Classes
    PartitioningAwareFileCatalogFileCatalog
  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  7. final def eq(arg0: AnyRef): Boolean

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  11. val hadoopConf: Configuration

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    PartitioningAwareFileCatalog
  12. def hashCode(): Int

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  13. def inferPartitioning(): PartitionSpec

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    PartitioningAwareFileCatalog
  14. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Logging
  15. final def isInstanceOf[T0]: Boolean

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  16. def isTraceEnabled(): Boolean

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  17. val leafDirToChildrenFiles: Map[Path, Array[FileStatus]]

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    MetadataLogFileCatalogPartitioningAwareFileCatalog
  18. val leafFiles: LinkedHashMap[Path, FileStatus]

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    MetadataLogFileCatalogPartitioningAwareFileCatalog
  19. def listFiles(filters: Seq[Expression]): Seq[datasources.Partition]

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    Returns all valid files grouped into partitions when the data is partitioned.

    Returns all valid files grouped into partitions when the data is partitioned. If the data is unpartitioned, this will return a single partition with no partition values.

    filters

    The filters used to prune which partitions are returned. These filters must only refer to partition columns and this method will only return files where these predicates are guaranteed to evaluate to true. Thus, these filters will not need to be evaluated again on the returned data.

    Definition Classes
    PartitioningAwareFileCatalogFileCatalog
  20. def log: Logger

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

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

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

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

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

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

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  27. def logName: String

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

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

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

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

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

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  33. final def notify(): Unit

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  34. final def notifyAll(): Unit

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  35. def partitionSpec(): PartitionSpec

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    Returns the specification of the partitions inferred from the data.

    Returns the specification of the partitions inferred from the data.

    Definition Classes
    MetadataLogFileCatalogFileCatalog
  36. def paths: Seq[Path]

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    Returns the list of input paths from which the catalog will get files.

    Returns the list of input paths from which the catalog will get files.

    Definition Classes
    MetadataLogFileCatalogFileCatalog
  37. def refresh(): Unit

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    Refresh the file listing

    Refresh the file listing

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

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  39. def toString(): String

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  40. final def wait(): Unit

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

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

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Inherited from Logging

Inherited from FileCatalog

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