Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/7796#discussion_r36168095
--- Diff:
external/kafka/src/main/scala/org/apache/spark/streaming/kafka/DirectKafkaInputDStream.scala
---
@@ -71,14 +73,33 @@ class DirectKafkaInputDStream[
protected[streaming] override val checkpointData =
new DirectKafkaInputDStreamCheckpointData
+
+ /**
+ * Asynchronously maintains & sends new rate limits to the receiver
through the receiver tracker.
+ */
+ override protected[streaming] val rateController: Option[RateController]
= {
+ if (RateController.isBackPressureEnabled(ssc.conf)) {
+ RateEstimator.create(ssc.conf).map { new
DirectKafkaRateController(id, _) }
+ } else {
+ None
+ }
+ }
+
protected val kc = new KafkaCluster(kafkaParams)
- protected val maxMessagesPerPartition: Option[Long] = {
- val ratePerSec = context.sparkContext.getConf.getInt(
+ private val ratePerPartition: Int = context.sparkContext.getConf.getInt(
"spark.streaming.kafka.maxRatePerPartition", 0)
- if (ratePerSec > 0) {
+ protected def maxMessagesPerPartition: Option[Long] = {
+ val estimatedRate =
rateController.map(_.getLatestRate().toInt).getOrElse(-1)
+ val numPartitions = currentOffsets.keys.size
+ val effectiveRatePerPartition = if (estimatedRate > 0) {
+ Math.min(ratePerPartition, (estimatedRate / numPartitions))
--- End diff --
Can you rename `ratePerPartition` to `maxRateLimitPerPartition` to make it
clear that its the max rate limit.
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