Class/Object

org.apache.spark.sql.execution.streaming

HDFSMetadataLog

Related Docs: object HDFSMetadataLog | package streaming

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class HDFSMetadataLog[T] extends MetadataLog[T] with Logging

A MetadataLog implementation based on HDFS. HDFSMetadataLog uses the specified path as the metadata storage.

When writing a new batch, HDFSMetadataLog will firstly write to a temp file and then rename it to the final batch file. If the rename step fails, there must be multiple writers and only one of them will succeed and the others will fail.

Note: HDFSMetadataLog doesn't support S3-like file systems as they don't guarantee listing files in a directory always shows the latest files.

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

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

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Value Members

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

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

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

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    AnyRef → Any
  4. def add(batchId: Long, metadata: 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
    HDFSMetadataLogMetadataLog
  5. final def asInstanceOf[T0]: T0

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

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    Attributes
    protected
  7. def clone(): AnyRef

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    protected[java.lang]
    Definition Classes
    AnyRef
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    @throws( ... )
  8. def deserialize(in: InputStream): T

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    protected
  9. final def eq(arg0: AnyRef): Boolean

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

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    AnyRef → Any
  11. val fileManager: FileManager

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    protected
  12. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  13. def get(startId: Option[Long], endId: Option[Long]): Array[(Long, 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
  14. def get(batchId: Long): Option[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
  15. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  16. def getLatest(): Option[(Long, 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
  17. def hashCode(): Int

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

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    protected
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    Logging
  19. def isBatchFile(path: Path): Boolean

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  20. final def isDebugEnabled: Boolean

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    Logging
  21. final def isInfoEnabled: Boolean

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    Logging
  22. final def isInstanceOf[T0]: Boolean

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    Any
  23. final def isTraceEnabled: Boolean

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    protected
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    Logging
  24. def log: Logger

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

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    Logging
  26. def logDebug(msg: ⇒ String): Unit

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

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    Logging
  28. def logError(msg: ⇒ String): Unit

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

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    Logging
  30. def logInfo(msg: ⇒ String): Unit

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    Logging
  31. def logName: String

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

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    Logging
  33. def logTrace(msg: ⇒ String): Unit

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

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

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    protected
    Definition Classes
    Logging
  36. val metadataPath: Path

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

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

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

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

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    Attributes
    protected
  41. 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
  42. def serialize(metadata: T, out: OutputStream): Unit

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

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    Definition Classes
    AnyRef
  44. def toString(): String

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    AnyRef → Any
  45. final def wait(): Unit

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    @throws( ... )
  46. final def wait(arg0: Long, arg1: Int): Unit

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

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    @throws( ... )

Inherited from Logging

Inherited from MetadataLog[T]

Inherited from AnyRef

Inherited from Any

Ungrouped