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Exploring streaming
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.../main/kotlin/org/jetbrains/kotlinx/spark/examples/streaming/KotlinDirectKafkaWordCount.kt
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| /*- | ||
| * =LICENSE= | ||
| * Kotlin Spark API: Examples for Spark 3.2+ (Scala 2.12) | ||
| * ---------- | ||
| * Copyright (C) 2019 - 2022 JetBrains | ||
| * ---------- | ||
| * 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. | ||
| * =LICENSEEND= | ||
| */ | ||
| package org.jetbrains.kotlinx.spark.examples.streaming | ||
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| import org.apache.kafka.clients.consumer.ConsumerConfig.* | ||
| import org.apache.kafka.clients.consumer.ConsumerRecord | ||
| import org.apache.kafka.common.serialization.StringDeserializer | ||
| import org.apache.spark.streaming.Durations | ||
| import org.apache.spark.streaming.api.java.JavaDStream | ||
| import org.apache.spark.streaming.api.java.JavaInputDStream | ||
| import org.apache.spark.streaming.kafka010.ConsumerStrategies | ||
| import org.apache.spark.streaming.kafka010.KafkaUtils | ||
| import org.apache.spark.streaming.kafka010.LocationStrategies | ||
| import org.jetbrains.kotlinx.spark.api.reduceByKey | ||
| import org.jetbrains.kotlinx.spark.api.tuples.* | ||
| import org.jetbrains.kotlinx.spark.api.withSparkStreaming | ||
| import scala.Tuple2 | ||
| import java.io.Serializable | ||
| import java.util.regex.Pattern | ||
| import kotlin.system.exitProcess | ||
|
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|
|
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| /** | ||
| * Src: https://github.com/apache/spark/blob/master/examples/src/main/java/org/apache/spark/examples/streaming/JavaDirectKafkaWordCount.java | ||
| * | ||
| * Consumes messages from one or more topics in Kafka and does wordcount. | ||
| * Usage: JavaDirectKafkaWordCount <brokers> <groupId> <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: | ||
| * | ||
| * First make sure you have a Kafka producer running. For instance, when running locally: | ||
| * $ kafka-console-producer.sh --topic quickstart-events --bootstrap-server localhost:9092 | ||
| * | ||
| * Then start the program normally or like this: | ||
| * $ bin/run-example streaming.JavaDirectKafkaWordCount broker1-host:port,broker2-host:port \ | ||
| * consumer-group topic1,topic2 | ||
| */ | ||
| object KotlinDirectKafkaWordCount { | ||
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| private val SPACE = Pattern.compile(" ") | ||
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| private const val DEFAULT_BROKER = "localhost:9092" | ||
| private const val DEFAULT_GROUP_ID = "consumer-group" | ||
| private const val DEFAULT_TOPIC = "quickstart-events" | ||
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| @JvmStatic | ||
| fun main(args: Array<String>) { | ||
| if (args.size < 3 && args.isNotEmpty()) { | ||
| System.err.println( | ||
| """Usage: JavaDirectKafkaWordCount <brokers> <groupId> <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 | ||
| """.trimIndent() | ||
| ) | ||
| exitProcess(1) | ||
| } | ||
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| val brokers: String = args.getOrElse(0) { DEFAULT_BROKER } | ||
| val groupId: String = args.getOrElse(1) { DEFAULT_GROUP_ID } | ||
| val topics: String = args.getOrElse(2) { DEFAULT_TOPIC } | ||
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| // Create context with a 2 seconds batch interval | ||
| withSparkStreaming(batchDuration = Durations.seconds(2), appName = "KotlinDirectKafkaWordCount") { | ||
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| val topicsSet: Set<String> = topics.split(',').toSet() | ||
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| val kafkaParams: Map<String, Serializable> = mapOf( | ||
| BOOTSTRAP_SERVERS_CONFIG to brokers, | ||
| GROUP_ID_CONFIG to groupId, | ||
| KEY_DESERIALIZER_CLASS_CONFIG to StringDeserializer::class.java, | ||
| VALUE_DESERIALIZER_CLASS_CONFIG to StringDeserializer::class.java, | ||
| ) | ||
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| // Create direct kafka stream with brokers and topics | ||
| val messages: JavaInputDStream<ConsumerRecord<String, String>> = KafkaUtils.createDirectStream( | ||
| ssc, | ||
| LocationStrategies.PreferConsistent(), | ||
| ConsumerStrategies.Subscribe(topicsSet, kafkaParams), | ||
| ) | ||
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| // Get the lines, split them into words, count the words and print | ||
| val lines: JavaDStream<String> = messages.map { it.value() } | ||
| val words: JavaDStream<String> = lines.flatMap { it.split(SPACE).iterator() } | ||
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| val wordCounts: JavaDStream<Tuple2<String, Int>> = words | ||
| .map { it X 1 } | ||
| .reduceByKey { a: Int, b: Int -> a + b } | ||
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| wordCounts.print() | ||
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| } | ||
| } | ||
| } |
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