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class FileStreamSourceLog extends CompactibleFileStreamLog[FileEntry]

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  1. FileStreamSourceLog
  2. CompactibleFileStreamLog
  3. HDFSMetadataLog
  4. Logging
  5. MetadataLog
  6. AnyRef
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Instance Constructors

  1. new FileStreamSourceLog(metadataLogVersion: Int, sparkSession: SparkSession, path: 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. def add(batchId: Long, logs: Array[FileEntry]): Boolean

    Store the metadata for the specified batchId and return true if successful.

    Store the metadata for the specified batchId and return true if successful. If the batchId's metadata has already been stored, this method will return false.

    Definition Classes
    FileStreamSourceLogCompactibleFileStreamLogHDFSMetadataLogMetadataLog
  5. def addNewBatchByStream(batchId: Long)(fn: (OutputStream) ⇒ Unit): Boolean

    Store the metadata for the specified batchId and return true if successful.

    Store the metadata for the specified batchId and return true if successful. This method fills the content of metadata via executing function. If the function throws an exception, writing will be automatically cancelled and this method will propagate the exception.

    If the batchId's metadata has already been stored, this method will return false.

    Writing the metadata is done by writing a batch to a temp file then rename it to the batch file.

    There may be multiple HDFSMetadataLog using the same metadata path. Although it is not a valid behavior, we still need to prevent it from destroying the files.

    Definition Classes
    HDFSMetadataLog
  6. def allFiles(): Array[FileEntry]

    Returns all files except the deleted ones.

    Returns all files except the deleted ones.

    Definition Classes
    CompactibleFileStreamLog
  7. def applyFnToBatchByStream[RET](batchId: Long)(fn: (InputStream) ⇒ RET): RET

    Apply provided function to each entry in the specific batch metadata log.

    Apply provided function to each entry in the specific batch metadata log.

    Unlike get which will materialize all entries into memory, this method streamlines the process via READ-AND-PROCESS. This helps to avoid the memory issue on huge metadata log file.

    NOTE: This no longer fails early on corruption. The caller should handle the exception properly and make sure the logic is not affected by failing in the middle.

    Definition Classes
    HDFSMetadataLog
  8. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  9. val batchFilesFilter: PathFilter

    A PathFilter to filter only batch files

    A PathFilter to filter only batch files

    Attributes
    protected
    Definition Classes
    HDFSMetadataLog
  10. def batchIdToPath(batchId: Long): Path
  11. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  12. final lazy val compactInterval: Int
    Attributes
    protected
    Definition Classes
    CompactibleFileStreamLog
  13. val defaultCompactInterval: Int
    Attributes
    protected
    Definition Classes
    FileStreamSourceLogCompactibleFileStreamLog
  14. def deserialize(in: InputStream): Array[FileEntry]

    Read and deserialize the metadata from input stream.

    Read and deserialize the metadata from input stream. If this method is overridden in a subclass, the overriding method should not close the given input stream, as it will be closed in the caller.

    Definition Classes
    CompactibleFileStreamLogHDFSMetadataLog
  15. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  17. val fileCleanupDelayMs: Long

    If we delete the old files after compaction at once, there is a race condition in S3: other processes may see the old files are deleted but still cannot see the compaction file using "list".

    If we delete the old files after compaction at once, there is a race condition in S3: other processes may see the old files are deleted but still cannot see the compaction file using "list". The allFiles handles this by looking for the next compaction file directly, however, a live lock may happen if the compaction happens too frequently: one processing keeps deleting old files while another one keeps retrying. Setting a reasonable cleanup delay could avoid it.

    Attributes
    protected
    Definition Classes
    FileStreamSourceLogCompactibleFileStreamLog
  18. val fileManager: CheckpointFileManager
    Attributes
    protected
    Definition Classes
    HDFSMetadataLog
  19. def filterInBatch(batchId: Long)(predicate: (FileEntry) ⇒ Boolean): Option[Array[FileEntry]]

    Apply filter on all entries in the specific batch.

    Apply filter on all entries in the specific batch.

    Definition Classes
    CompactibleFileStreamLog
  20. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  21. def foreachInBatch(batchId: Long)(fn: (FileEntry) ⇒ Unit): Unit

    Apply function on all entries in the specific batch.

    Apply function on all entries in the specific batch. The method will throw FileNotFoundException if the metadata log file doesn't exist.

    NOTE: This doesn't fail early on corruption. The caller should handle the exception properly and make sure the logic is not affected by failing in the middle.

    Definition Classes
    CompactibleFileStreamLog
  22. def get(startId: Option[Long], endId: Option[Long]): Array[(Long, Array[FileEntry])]

    Return metadata for batches between startId (inclusive) and endId (inclusive).

    Return metadata for batches between startId (inclusive) and endId (inclusive). If startId is None, just return all batches before endId (inclusive).

    Definition Classes
    FileStreamSourceLogHDFSMetadataLogMetadataLog
  23. def get(batchId: Long): Option[Array[FileEntry]]

    Return the metadata for the specified batchId if it's stored.

    Return the metadata for the specified batchId if it's stored. Otherwise, return None.

    Definition Classes
    HDFSMetadataLogMetadataLog
  24. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  25. def getLatest(): Option[(Long, Array[FileEntry])]

    Return the latest batch Id and its metadata if exist.

    Return the latest batch Id and its metadata if exist.

    Definition Classes
    HDFSMetadataLogMetadataLog
  26. def getLatestBatchId(): Option[Long]

    Return the latest batch Id without reading the file.

    Return the latest batch Id without reading the file. This method only checks for existence of file to avoid cost on reading and deserializing log file.

    Definition Classes
    HDFSMetadataLog
  27. def getOrderedBatchFiles(): Array[FileStatus]

    Get an array of [FileStatus] referencing batch files.

    Get an array of [FileStatus] referencing batch files. The array is sorted by most recent batch file first to oldest batch file.

    Definition Classes
    HDFSMetadataLog
  28. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  29. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  30. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. def isBatchFile(path: Path): Boolean
  32. val isDeletingExpiredLog: Boolean
    Attributes
    protected
    Definition Classes
    FileStreamSourceLogCompactibleFileStreamLog
  33. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  34. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  35. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  36. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  37. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  38. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  39. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  40. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  41. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  42. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  43. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  44. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  45. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  46. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  47. val metadataPath: Path
    Definition Classes
    HDFSMetadataLog
  48. val minBatchesToRetain: Int
    Attributes
    protected
    Definition Classes
    CompactibleFileStreamLog
  49. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  50. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  51. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  52. def pathToBatchId(path: Path): Long
  53. def purge(thresholdBatchId: Long): Unit

    CompactibleFileStreamLog maintains logs by itself, and manual purging might break internal state, specifically which latest compaction batch is purged.

    CompactibleFileStreamLog maintains logs by itself, and manual purging might break internal state, specifically which latest compaction batch is purged.

    To simplify the situation, this method just throws UnsupportedOperationException regardless of given parameter, and let CompactibleFileStreamLog handles purging by itself.

    Definition Classes
    CompactibleFileStreamLogHDFSMetadataLogMetadataLog
  54. def purgeAfter(thresholdBatchId: Long): Unit

    Removes all log entries later than thresholdBatchId (exclusive).

    Removes all log entries later than thresholdBatchId (exclusive).

    Definition Classes
    HDFSMetadataLog
  55. def restore(): Array[FileEntry]
  56. def serialize(logData: Array[FileEntry], out: OutputStream): Unit

    Serialize the metadata and write to the output stream.

    Serialize the metadata and write to the output stream. If this method is overridden in a subclass, the overriding method should not close the given output stream, as it will be closed in the caller.

    Definition Classes
    CompactibleFileStreamLogHDFSMetadataLog
  57. def shouldRetain(log: FileEntry, currentTime: Long): Boolean

    Determine whether the log should be retained or not.

    Determine whether the log should be retained or not.

    Default implementation retains all log entries. Implementations should override the method to change the behavior.

    Definition Classes
    CompactibleFileStreamLog
  58. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  59. def toString(): String
    Definition Classes
    AnyRef → Any
  60. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  61. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  62. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from HDFSMetadataLog[Array[FileEntry]]

Inherited from Logging

Inherited from MetadataLog[Array[FileEntry]]

Inherited from AnyRef

Inherited from Any

Ungrouped