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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.streaming.kafka
import scala.util.Random
import kafka.common.TopicAndPartition
import kafka.message.MessageAndMetadata
import kafka.serializer.StringDecoder
import org.scalatest.BeforeAndAfterAll
import org.apache.spark._
class KafkaRDDSuite extends SparkFunSuite with BeforeAndAfterAll {
private var kafkaTestUtils: KafkaTestUtils = _
private val sparkConf = new SparkConf().setMaster("local[4]")
.setAppName(this.getClass.getSimpleName)
private var sc: SparkContext = _
override def beforeAll {
sc = new SparkContext(sparkConf)
kafkaTestUtils = new KafkaTestUtils
kafkaTestUtils.setup()
}
override def afterAll {
if (sc != null) {
sc.stop
sc = null
}
if (kafkaTestUtils != null) {
kafkaTestUtils.teardown()
kafkaTestUtils = null
}
}
test("basic usage") {
val topic = s"topicbasic-${Random.nextInt}"
kafkaTestUtils.createTopic(topic)
val messages = Array("the", "quick", "brown", "fox")
kafkaTestUtils.sendMessages(topic, messages)
val kafkaParams = Map("metadata.broker.list" -> kafkaTestUtils.brokerAddress,
"group.id" -> s"test-consumer-${Random.nextInt}")
val offsetRanges = Array(OffsetRange(topic, 0, 0, messages.size))
val rdd = KafkaUtils.createRDD[String, String, StringDecoder, StringDecoder](
sc, kafkaParams, offsetRanges)
val received = rdd.map(_._2).collect.toSet
assert(received === messages.toSet)
// size-related method optimizations return sane results
assert(rdd.count === messages.size)
assert(rdd.countApprox(0).getFinalValue.mean === messages.size)
assert(!rdd.isEmpty)
assert(rdd.take(1).size === 1)
assert(rdd.take(1).head._2 === messages.head)
assert(rdd.take(messages.size + 10).size === messages.size)
val emptyRdd = KafkaUtils.createRDD[String, String, StringDecoder, StringDecoder](
sc, kafkaParams, Array(OffsetRange(topic, 0, 0, 0)))
assert(emptyRdd.isEmpty)
// invalid offset ranges throw exceptions
val badRanges = Array(OffsetRange(topic, 0, 0, messages.size + 1))
intercept[SparkException] {
KafkaUtils.createRDD[String, String, StringDecoder, StringDecoder](
sc, kafkaParams, badRanges)
}
}
test("iterator boundary conditions") {
// the idea is to find e.g. off-by-one errors between what kafka has available and the rdd
val topic = s"topicboundary-${Random.nextInt}"
val sent = Map("a" -> 5, "b" -> 3, "c" -> 10)
kafkaTestUtils.createTopic(topic)
val kafkaParams = Map("metadata.broker.list" -> kafkaTestUtils.brokerAddress,
"group.id" -> s"test-consumer-${Random.nextInt}")
val kc = new KafkaCluster(kafkaParams)
// this is the "lots of messages" case
kafkaTestUtils.sendMessages(topic, sent)
val sentCount = sent.values.sum
// rdd defined from leaders after sending messages, should get the number sent
val rdd = getRdd(kc, Set(topic))
assert(rdd.isDefined)
val ranges = rdd.get.asInstanceOf[HasOffsetRanges].offsetRanges
val rangeCount = ranges.map(o => o.untilOffset - o.fromOffset).sum
assert(rangeCount === sentCount, "offset range didn't include all sent messages")
assert(rdd.get.count === sentCount, "didn't get all sent messages")
val rangesMap = ranges.map(o => TopicAndPartition(o.topic, o.partition) -> o.untilOffset).toMap
// make sure consumer offsets are committed before the next getRdd call
kc.setConsumerOffsets(kafkaParams("group.id"), rangesMap).fold(
err => throw new Exception(err.mkString("\n")),
_ => ()
)
// this is the "0 messages" case
val rdd2 = getRdd(kc, Set(topic))
// shouldn't get anything, since message is sent after rdd was defined
val sentOnlyOne = Map("d" -> 1)
kafkaTestUtils.sendMessages(topic, sentOnlyOne)
assert(rdd2.isDefined)
assert(rdd2.get.count === 0, "got messages when there shouldn't be any")
// this is the "exactly 1 message" case, namely the single message from sentOnlyOne above
val rdd3 = getRdd(kc, Set(topic))
// send lots of messages after rdd was defined, they shouldn't show up
kafkaTestUtils.sendMessages(topic, Map("extra" -> 22))
assert(rdd3.isDefined)
assert(rdd3.get.count === sentOnlyOne.values.sum, "didn't get exactly one message")
}
// get an rdd from the committed consumer offsets until the latest leader offsets,
private def getRdd(kc: KafkaCluster, topics: Set[String]) = {
val groupId = kc.kafkaParams("group.id")
def consumerOffsets(topicPartitions: Set[TopicAndPartition]) = {
kc.getConsumerOffsets(groupId, topicPartitions).right.toOption.orElse(
kc.getEarliestLeaderOffsets(topicPartitions).right.toOption.map { offs =>
offs.map(kv => kv._1 -> kv._2.offset)
}
)
}
kc.getPartitions(topics).right.toOption.flatMap { topicPartitions =>
consumerOffsets(topicPartitions).flatMap { from =>
kc.getLatestLeaderOffsets(topicPartitions).right.toOption.map { until =>
val offsetRanges = from.map { case (tp: TopicAndPartition, fromOffset: Long) =>
OffsetRange(tp.topic, tp.partition, fromOffset, until(tp).offset)
}.toArray
val leaders = until.map { case (tp: TopicAndPartition, lo: KafkaCluster.LeaderOffset) =>
tp -> Broker(lo.host, lo.port)
}.toMap
KafkaUtils.createRDD[String, String, StringDecoder, StringDecoder, String](
sc, kc.kafkaParams, offsetRanges, leaders,
(mmd: MessageAndMetadata[String, String]) => s"${mmd.offset} ${mmd.message}")
}
}
}
}
}
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