轉載自https://www.cnblogs.com/zhangXingSheng/p/6646879.html

（1）下載kafka的jar包

spark2.1 支援kafka0.8.2.1以上的jar,我是spark2.0.2,下載的kafka_2.11-0.10.2.0 （2）Consumer程式碼

package com.sparkstreaming
import org.apache.spark.SparkConf
import org.apache.spark.streaming.Seconds
import org.apache.spark.streaming.StreamingContext
import org.apache.spark.streaming.kafka010.KafkaUtils
import org.apache.spark.streaming.kafka010.LocationStrategies.PreferConsistent
import org.apache.spark.streaming.kafka010.ConsumerStrategies.Subscribe
import org.apache.kafka.common.serialization.StringDeserializer
 
object SparkStreamKaflaWordCount {
def main(args: Array[String]): Unit = {
//建立streamingContext
var conf=new SparkConf().setMaster("spark://192.168.177.120:7077")
.setAppName("SparkStreamKaflaWordCount Demo");
var ssc=new StreamingContext(conf,Seconds(4));
//建立topic
//var topic=Map{"test" -> 1}
var topic=Array("
 
test");
//指定zookeeper
//建立消費者組
var group="con-consumer-group"
//消費者配置
val kafkaParam = Map(
"bootstrap.servers" -> "192.168.177.120:9092,anotherhost:9092",//用於初始化連結到叢集的地址
"key.deserializer" -> classOf[StringDeserializer],
"value.deserializer" -> classOf[StringDeserializer],
//用於標識這個消費者屬於哪個消費團體
"group.id
 
" -> group,
//如果沒有初始化偏移量或者當前的偏移量不存在任何伺服器上，可以使用這個配置屬性
//可以使用這個配置，latest自動重置偏移量為最新的偏移量
"auto.offset.reset" -> "latest",
//如果是true，則這個消費者的偏移量會在後臺自動提交
"enable.auto.commit" -> (false: java.lang.Boolean)
);
//建立DStream，返回接收到的輸入資料
var stream=KafkaUtils.createDirectStream[String,String](ssc, PreferConsistent,Subscribe[String,String](topic,kafkaParam))
 //每一個stream都是一個ConsumerRecord
stream.map(s =>(s.key(),s.value())).print();
ssc.start();
ssc.awaitTermination();
}
}

（3）啟動zk //我是已經配置好zookeeper的環境變量了， zoo1.cfg配置

# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial
# synchronization phase can take
initLimit=10
# The number of ticks that can pass between
# sending a request and getting an acknowledgement
syncLimit=5
# the directory where the snapshot is stored.
dataDir=/home/zhangxs/datainfo/developmentData/zookeeper/zkdata1
# the port at which the clients will connect
clientPort=2181
server.1=zhangxs:2881:3881

啟動zk服務

zkServer.sh start zoo1.cfg

（4）啟動kafka服務

【bin/kafka-server-start.sh config/server.properties】

[[email protected] kafka_2.11]# bin/kafka-server-start.sh config/server.properties
[2017-03-25 18:42:03,153] INFO KafkaConfig values:
advertised.host.name = null
advertised.listeners = null
advertised.port = null
authorizer.class.name =
auto.create.topics.enable = true
auto.leader.rebalance.enable = true
background.threads = 10
broker.id = 0
broker.id.generation.enable = true
broker.rack = null
compression.type = producer
connections.max.idle.ms = 600000
controlled.shutdown.enable = true
controlled.shutdown.max.retries = 3
controlled.shutdown.retry.backoff.ms = 5000
controller.socket.timeout.ms = 30000
create.topic.policy.class.name = null
default.replication.factor = 1
delete.topic.enable = false
fetch.purgatory.purge.interval.requests = 1000
group.max.session.timeout.ms = 300000
group.min.session.timeout.ms = 6000
host.name =
inter.broker.listener.name = null
inter.broker.protocol.version = 0.10.2-IV0
leader.imbalance.check.interval.seconds = 300

（5）（重新開啟一個終端）啟動生產者程序

[[email protected] kafka_2.11]# bin/kafka-console-producer.sh --broker-list 192.168.177.120:9092 --topic test

（6）將程式碼打成jar，jar名【streamkafkademo】，放到spark_home/jar/ 下面 （7）提交spark應用程式（消費者程式）

./spark-submit --class com.sparkstreaming.SparkStreamKaflaWordCount  /usr/local/development/spark-2.0/jars/streamkafkademo.jar 10

(8)在生產者終端上輸入資料

zhang xing sheng

（9）列印結果 按 Ctrl+C 複製程式碼 按 Ctrl+C 複製程式碼 遇到過的問題： （1）在使用eclipse編寫消費者程式時發現沒有KafkaUtils類。 這個jar是需要另下載的。然後build到你的工程裡就可以了 maven

1. <dependency>
2. <groupId>org.apache.spark</groupId>
3. <artifactId>spark-streaming_2.11</artifactId>
4. <version>2.1.0</version>
5. </dependency>

jar下載
（2）在提交spark應用程式的時候，丟擲類找不到

Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/kafka/common/serialization/StringDeserializer
at com.sparkstreaming.SparkStreamKaflaWordCount$.main(SparkStreamKaflaWordCount.scala:25)
at com.sparkstreaming.SparkStreamKaflaWordCount.main(SparkStreamKaflaWordCount.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
------------------------------------------------------------------------
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/spark/streaming/kafka010/KafkaUtils$
at com.sparkstreaming.SparkStreamKaflaWordCount$.main(SparkStreamKaflaWordCount.scala:33)
at com.sparkstreaming.SparkStreamKaflaWordCount.main(SparkStreamKaflaWordCount.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)

這個需要你將【spark-streaming-kafka-0-10_2.11-2.1.0】，【kafka-clients-0.10.2.0】這兩個jar新增到 spark_home/jar/路徑下就可以了。（這個只是我這個工程裡缺少的jar）