Trait

org.apache.spark.sql.execution.streaming

MetadataLog

Related Doc: package streaming

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trait MetadataLog[T] extends AnyRef

A general MetadataLog that supports the following features:

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Abstract Value Members

  1. abstract 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.

  2. abstract 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).

  3. abstract 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.

  4. abstract def getLatest(): Option[(Long, T)]

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    Return the latest batch Id and its metadata if exist.

  5. abstract 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). This operation should be idempotent.

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

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