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[SPARK-22968][DStream] Throw an exception on partition revoking issue #21038

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[SPARK-22968][DStream] Throw an exception on partition revoking issue #21038

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f317dec
Fix Kafka connector partition revoked issue
jerryshao Apr 11, 2018
a7770e9
thrown an exception when partition is revoked due to consumer rebalance
jerryshao Apr 12, 2018
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Fix Kafka connector partition revoked issue
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@jerryshao
jerryshao committed Apr 11, 2018
commit f317dec0d863a717dc424707571453b11c43e700
17 changes: 13 additions & 4 deletions examples/src/main/scala/org/apache/spark/examples/streaming/DirectKafkaWordCount.scala
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Expand Up @@ -18,6 +18,9 @@
// scalastyle:off println
package org.apache.spark.examples.streaming

import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.common.serialization.StringDeserializer

import org.apache.spark.SparkConf
import org.apache.spark.streaming._
import org.apache.spark.streaming.kafka010._
Expand All @@ -26,18 +29,20 @@ import org.apache.spark.streaming.kafka010._
* Consumes messages from one or more topics in Kafka and does wordcount.
* Usage: DirectKafkaWordCount <brokers> <topics>
* <brokers> is a list of one or more Kafka brokers
* <groupId> is a consumer group name to consume from topics
* <topics> is a list of one or more kafka topics to consume from
*
* Example:
* $ bin/run-example streaming.DirectKafkaWordCount broker1-host:port,broker2-host:port \
* topic1,topic2
* consumer-group topic1,topic2
*/
object DirectKafkaWordCount {
def main(args: Array[String]) {
if (args.length < 2) {
if (args.length < 3) {
System.err.println(s"""
|Usage: DirectKafkaWordCount <brokers> <topics>
| <brokers> is a list of one or more Kafka brokers
| <groupId> is a consumer group name to consume from topics
| <topics> is a list of one or more kafka topics to consume from
|
""".stripMargin)
Expand All @@ -46,15 +51,19 @@ object DirectKafkaWordCount {

StreamingExamples.setStreamingLogLevels()

val Array(brokers, topics) = args
val Array(brokers, groupId, topics) = args

// Create context with 2 second batch interval
val sparkConf = new SparkConf().setAppName("DirectKafkaWordCount")
val ssc = new StreamingContext(sparkConf, Seconds(2))

// Create direct kafka stream with brokers and topics
val topicsSet = topics.split(",").toSet
val kafkaParams = Map[String, String]("metadata.broker.list" -> brokers)
val kafkaParams = Map[String, Object](
ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG -> brokers,
ConsumerConfig.GROUP_ID_CONFIG -> groupId,
ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG -> classOf[StringDeserializer],
ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG -> classOf[StringDeserializer])
val messages = KafkaUtils.createDirectStream[String, String](
ssc,
LocationStrategies.PreferConsistent,
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5 changes: 4 additions & 1 deletion ...fka-0-10/src/main/scala/org/apache/spark/streaming/kafka010/DirectKafkaInputDStream.scala
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Expand Up @@ -190,8 +190,11 @@ private[spark] class DirectKafkaInputDStream[K, V](

// make sure new partitions are reflected in currentOffsets
val newPartitions = parts.diff(currentOffsets.keySet)
val revokedPartitions = currentOffsets.keySet.diff(parts)
// position for new partitions determined by auto.offset.reset if no commit
currentOffsets = currentOffsets ++ newPartitions.map(tp => tp -> c.position(tp)).toMap
currentOffsets = currentOffsets -- revokedPartitions ++
newPartitions.map(tp => tp -> c.position(tp)).toMap

// don't want to consume messages, so pause
c.pause(newPartitions.asJava)
// find latest available offsets
Expand Down