org.apache.spark.streaming.kafka010

CanCommitOffsets

trait CanCommitOffsets extends AnyRef

:: Experimental :: Represents any object that can commit a collection of OffsetRanges. The direct Kafka DStream implements this interface (see KafkaUtils.createDirectStream).

val stream = KafkaUtils.createDirectStream(...)
  ...
stream.asInstanceOf[CanCommitOffsets].commitAsync(offsets, new OffsetCommitCallback() {
  def onComplete(m: java.util.Map[TopicPartition, OffsetAndMetadata], e: Exception) {
     if (null != e) {
        // error
     } else {
      // success
    }
  }
})
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@Experimental()
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  1. abstract def commitAsync(offsetRanges: Array[OffsetRange], callback: OffsetCommitCallback): Unit

    :: Experimental :: Queue up offset ranges for commit to Kafka at a future time.

    :: Experimental :: Queue up offset ranges for commit to Kafka at a future time. Threadsafe. This is only needed if you intend to store offsets in Kafka, instead of your own store.

    offsetRanges

    The maximum untilOffset for a given partition will be used at commit.

    callback

    Only the most recently provided callback will be used at commit.

    Annotations
    @Experimental()
  2. abstract def commitAsync(offsetRanges: Array[OffsetRange]): Unit

    :: Experimental :: Queue up offset ranges for commit to Kafka at a future time.

    :: Experimental :: Queue up offset ranges for commit to Kafka at a future time. Threadsafe. This is only needed if you intend to store offsets in Kafka, instead of your own store.

    offsetRanges

    The maximum untilOffset for a given partition will be used at commit.

    Annotations
    @Experimental()

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