Class/Object

org.apache.spark.sql.execution.streaming

CompactibleFileStreamLog

Related Docs: object CompactibleFileStreamLog | package streaming

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abstract class CompactibleFileStreamLog[T] extends HDFSMetadataLog[Array[T]]

An abstract class for compactible metadata logs. It will write one log file for each batch. The first line of the log file is the version number, and there are multiple serialized metadata lines following.

As reading from many small files is usually pretty slow, also too many small files in one folder will mess the FS, CompactibleFileStreamLog will compact log files every 10 batches by default into a big file. When doing a compaction, it will read all old log files and merge them with the new batch.

Linear Supertypes
HDFSMetadataLog[Array[T]], Logging, MetadataLog[Array[T]], AnyRef, Any
Known Subclasses
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Inherited
  1. CompactibleFileStreamLog
  2. HDFSMetadataLog
  3. Logging
  4. MetadataLog
  5. AnyRef
  6. Any
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Visibility
  1. Public
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Instance Constructors

  1. new CompactibleFileStreamLog(metadataLogVersion: String, sparkSession: SparkSession, path: String)(implicit arg0: ClassTag[T])

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Abstract Value Members

  1. abstract def compactInterval: Int

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    Attributes
    protected
  2. abstract def compactLogs(logs: Seq[T]): Seq[T]

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    Filter out the obsolete logs.

  3. abstract def deserializeData(encodedString: String): T

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    Deserialize the string into data object.

    Deserialize the string into data object.

    Attributes
    protected
  4. abstract def fileCleanupDelayMs: Long

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    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
  5. abstract def isDeletingExpiredLog: Boolean

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    Attributes
    protected
  6. abstract def serializeData(t: T): String

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    Serialize the data into encoded string.

    Serialize the data into encoded string.

    Attributes
    protected

Concrete Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. def add(batchId: Long, logs: Array[T]): Boolean

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    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.

    Note that this method must be called on a org.apache.spark.util.UninterruptibleThread so that interrupts can be disabled while writing the batch file. This is because there is a potential dead-lock in Hadoop "Shell.runCommand" before 2.5.0 (HADOOP-10622). If the thread running "Shell.runCommand" is interrupted, then the thread can get deadlocked. In our case, writeBatch creates a file using HDFS API and calls "Shell.runCommand" to set the file permissions, and can get deadlocked if the stream execution thread is stopped by interrupt. Hence, we make sure that this method is called on UninterruptibleThread which allows us to disable interrupts here. Also see SPARK-14131.

    Definition Classes
    CompactibleFileStreamLogHDFSMetadataLogMetadataLog
  5. def allFiles(): Array[T]

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    Returns all files except the deleted ones.

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. def batchIdToPath(batchId: Long): Path

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  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. def deserialize(in: InputStream): Array[T]

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

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    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  12. val fileManager: FileManager

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    Attributes
    protected
    Definition Classes
    HDFSMetadataLog
  13. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. def get(startId: Option[Long], endId: Option[Long]): Array[(Long, Array[T])]

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    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
    HDFSMetadataLogMetadataLog
  15. def get(batchId: Long): Option[Array[T]]

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

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    Definition Classes
    AnyRef → Any
  17. def getLatest(): Option[(Long, Array[T])]

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    Return the latest batch Id and its metadata if exist.

    Return the latest batch Id and its metadata if exist.

    Definition Classes
    HDFSMetadataLogMetadataLog
  18. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  19. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  20. def isBatchFile(path: Path): Boolean

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  21. final def isDebugEnabled: Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  22. final def isInfoEnabled: Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  23. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  24. final def isTraceEnabled: Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  25. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  26. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  27. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  28. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging
  29. def logError(msg: ⇒ String): Unit

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    protected
    Definition Classes
    Logging
  30. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging
  31. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  32. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  33. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  34. def logTrace(msg: ⇒ String): Unit

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    protected
    Definition Classes
    Logging
  35. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  36. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  37. val metadataPath: Path

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    Definition Classes
    HDFSMetadataLog
  38. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  39. final def notify(): Unit

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    Definition Classes
    AnyRef
  40. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  41. def pathToBatchId(path: Path): Long

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  42. def purge(thresholdBatchId: Long): Unit

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    Removes all the log entry earlier than thresholdBatchId (exclusive).

    Removes all the log entry earlier than thresholdBatchId (exclusive).

    Definition Classes
    HDFSMetadataLogMetadataLog
  43. def serialize(logData: Array[T], out: OutputStream): Unit

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

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    Definition Classes
    AnyRef
  45. def toString(): String

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    Definition Classes
    AnyRef → Any
  46. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  47. final def wait(arg0: Long, arg1: Int): Unit

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    Annotations
    @throws( ... )
  48. final def wait(arg0: Long): Unit

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    Annotations
    @throws( ... )

Inherited from HDFSMetadataLog[Array[T]]

Inherited from Logging

Inherited from MetadataLog[Array[T]]

Inherited from AnyRef

Inherited from Any

Ungrouped