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WordCountScalaIntegrationTest.scala
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/**
* Copyright 2016 Confluent Inc.
*
* Licensed 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 io.confluent.examples.streams
import java.lang.{Long => JLong}
import java.util.Properties
import io.confluent.examples.streams.kafka.EmbeddedSingleNodeKafkaCluster
import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.clients.producer.ProducerConfig
import org.apache.kafka.common.serialization._
import org.apache.kafka.streams.kstream.{KStream, KStreamBuilder}
import org.apache.kafka.streams.{KafkaStreams, KeyValue, StreamsConfig}
import org.assertj.core.api.Assertions.assertThat
import org.junit._
import org.scalatest.junit.AssertionsForJUnit
/**
* End-to-end integration test based on [[WordCountLambdaExample]], using an embedded Kafka cluster.
*
* See [[WordCountLambdaExample]] for further documentation.
*
* See [[WordCountLambdaIntegrationTest]] for the equivalent Java example.
*
* Note: We intentionally use JUnit4 (wrapped by ScalaTest) for implementing this Scala integration
* test so it is easier to compare this Scala code with the equivalent Java code at
* JoinLambdaIntegrationTest. One difference is that, to simplify the Scala/Junit integration, we
* switched from BeforeClass (which must be `static`) to Before as well as from @ClassRule (which
* must be `static` and `public`) to a workaround combination of `@Rule def` and a `private val`.
*/
class WordCountScalaIntegrationTest extends AssertionsForJUnit {
private val privateCluster: EmbeddedSingleNodeKafkaCluster = new EmbeddedSingleNodeKafkaCluster
@Rule def CLUSTER = privateCluster
private val inputTopic = "inputTopic"
private val outputTopic = "output-topic"
@Before
def startKafkaCluster() = {
CLUSTER.createTopic(inputTopic)
CLUSTER.createTopic(outputTopic)
}
@Test
def shouldCountWords() {
// To convert between Scala's `Tuple2` and Streams' `KeyValue`.
import KeyValueImplicits._
val inputTextLines: Seq[String] = Seq(
"Hello Kafka Streams",
"All streams lead to Kafka",
"Join Kafka Summit"
)
val expectedWordCounts: Seq[KeyValue[String, Long]] = Seq(
("hello", 1L),
("all", 1L),
("streams", 2L),
("lead", 1L),
("to", 1L),
("join", 1L),
("kafka", 3L),
("summit", 1L)
)
//
// Step 1: Configure and start the processor topology.
//
val streamsConfiguration: Properties = {
val p = new Properties()
p.put(StreamsConfig.APPLICATION_ID_CONFIG, "wordcount-scala-integration-test")
p.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers())
p.put(StreamsConfig.ZOOKEEPER_CONNECT_CONFIG, CLUSTER.zookeeperConnect())
p.put(StreamsConfig.KEY_SERDE_CLASS_CONFIG, Serdes.String.getClass.getName)
p.put(StreamsConfig.VALUE_SERDE_CLASS_CONFIG, Serdes.String.getClass.getName)
// The commit interval for flushing records to state stores and downstream must be lower than
// this integration test's timeout (30 secs) to ensure we observe the expected processing results.
p.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, "10000")
p.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest")
// Explicitly place the state directory under /tmp so that we can remove it via
// `purgeLocalStreamsState` below. Once Streams is updated to expose the effective
// StreamsConfig configuration (so we can retrieve whatever state directory Streams came up
// with automatically) we don't need to set this anymore and can update `purgeLocalStreamsState`
// accordingly.
p.put(StreamsConfig.STATE_DIR_CONFIG, "/tmp/kafka-streams")
p
}
// Remove any state from previous test runs
IntegrationTestUtils.purgeLocalStreamsState(streamsConfiguration)
val stringSerde: Serde[String] = Serdes.String()
val longSerde: Serde[JLong] = Serdes.Long()
val builder: KStreamBuilder = new KStreamBuilder()
// Construct a `KStream` from the input topic, where message values represent lines of text (for
// the sake of this example, we ignore whatever may be stored in the message keys).
val textLines: KStream[String, String] = builder.stream(inputTopic)
// Scala-Java interoperability: to convert `scala.collection.Iterable` to `java.util.Iterable`
// in `flatMapValues()` below.
import collection.JavaConverters.asJavaIterableConverter
val wordCounts: KStream[String, JLong] = textLines
.flatMapValues(value => value.toLowerCase.split("\\W+").toIterable.asJava)
.groupBy((key, word) => word)
.count("Counts")
.toStream()
wordCounts.to(stringSerde, longSerde, outputTopic)
val streams: KafkaStreams = new KafkaStreams(builder, streamsConfiguration)
streams.start()
//
// Step 2: Publish some user click events.
//
val producerConfig: Properties = {
val p = new Properties()
p.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers())
p.put(ProducerConfig.ACKS_CONFIG, "all")
p.put(ProducerConfig.RETRIES_CONFIG, "0")
p.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, classOf[StringSerializer])
p.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, classOf[StringSerializer])
p
}
import collection.JavaConverters._
IntegrationTestUtils.produceValuesSynchronously(inputTopic, inputTextLines.asJava, producerConfig)
//
// Step 3: Verify the application's output data.
//
val consumerConfig = {
val p = new Properties()
p.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers())
p.put(ConsumerConfig.GROUP_ID_CONFIG, "wordcount-scala-integration-test-standard-consumer")
p.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest")
p.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, classOf[StringDeserializer])
p.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, classOf[LongDeserializer])
p
}
val actualWordCounts: java.util.List[KeyValue[String, Long]] =
IntegrationTestUtils.waitUntilMinKeyValueRecordsReceived(consumerConfig, outputTopic, expectedWordCounts.size)
streams.close()
assertThat(actualWordCounts).containsExactlyElementsOf(expectedWordCounts.asJava)
}
}