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spark streaming kafka 整合

624c95384278 2022-08-01 阅读 146


package com.test.spark
import org.apache.kafka.clients.consumer.ConsumerRecord
import org.apache.kafka.common.serialization.StringDeserializer
import org.apache.spark.SparkConf
import org.apache.spark.streaming.{Seconds, StreamingContext}
import org.apache.spark.streaming.kafka010._
import org.apache.spark.streaming.kafka010.LocationStrategies.PreferConsistent
import org.apache.spark.streaming.kafka010.ConsumerStrategies.Subscribe
object SparkKafKaTest {


def main(args: Array[String]): Unit = {

var sparkConf = new SparkConf().setMaster("local[2]").setAppName("SparkKafKaTest")

val ssc = new StreamingContext(sparkConf, Seconds(5))


val kafkaParams = Map[String, Object](
"bootstrap.servers" -> "localhost:9092",
"key.deserializer" -> classOf[StringDeserializer],
"value.deserializer" -> classOf[StringDeserializer],
"group.id" -> "use_a_separate_group_id_for_each_stream",
"auto.offset.reset" -> "latest",
"enable.auto.commit" -> (false: java.lang.Boolean)
)

val topics = Array("test")
val stream = KafkaUtils.createDirectStream[String, String](
ssc,
PreferConsistent,
Subscribe[String, String](topics, kafkaParams)
)

stream.map(record => (record.key, record.value)).print()
stream.map(record => record.value).flatMap(_.split(" ")).map((_,1)).reduceByKey(_+_).print()
// stream.map(_._2).count().print() ssc.start() ssc.awaitTermination() } }

1.依赖

<dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming-kafka-0-10_2.11</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>com.fasterxml.jackson.module</groupId> <artifactId>jackson-module-scala_2.11</artifactId> <version>${jackson.version}</version> </dependency> <dependency> <groupId>com.fasterxml.jackson.core</groupId> <artifactId>jackson-core</artifactId> <version>${jackson.version}</version> </dependency> <dependency> <groupId>com.fasterxml.jackson.core</groupId> <artifactId>jackson-annotations</artifactId> <version>${jackson.version}</version> </dependency>


2. 用spark-submit 来提交

spark-submit  \
--class com.test.spark.SparkKafKaTest \
--master local[2] \
--packages org.apache.spark:spark-streaming-kafka-0-10_2.11:2.3.0 \
./target/spartktrain-1.0.jar \
localhost:9092 group1 test

 

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