kafka.serializer.StringDecoder import org.apache.spark.SparkConf import org.apache.spark.streaming.kafka.KafkaUtils...kafka.serializer.StringDecoder import org.apache.spark.SparkConf import org.apache.spark.streaming.kafka.KafkaUtils...import org.apache.spark.SparkConf import org.apache.spark.streaming.kafka.KafkaUtils import org.apache.spark.streaming...import kafka.serializer.StringDecoder import org.apache.spark.SparkConf import org.apache.spark.streaming.kafka.KafkaUtils...: org/apache/spark/streaming/kafka/KafkaUtils$ 修改，添加jar包spark-streaming-kafka-0-8_2.11： .
org.apache.kafka.clients.consumer.ConsumerConfig import org.apache.spark.SparkConf import org.apache.spark.streaming.dstream.InputDStream...import org.apache.spark.streaming.kafka.KafkaUtils import org.apache.spark.streaming....{DStream, InputDStream} import org.apache.spark.streaming.kafka.KafkaUtils import org.apache.spark.streaming...import org.apache.spark.streaming.kafka.KafkaUtils import org.apache.spark.streaming....import org.apache.spark.streaming.kafka.KafkaCluster.Err import org.apache.spark.streaming.kafka.
" %% "spark-core" % "2.0.0", "org.apache.spark" %% "spark-streaming" % "2.0.0", "org.apache.spark..." %% "spark-streaming-kafka-0-8" % "2.0.0", "org.apache.kafka" %% "kafka" % "0.8.2.1" ) CusomerApp.scala...import java.util.Properties import _root_.kafka.serializer.StringDecoder import org.apache.spark.streaming...._ import org.apache.spark.streaming.StreamingContext._ import org.apache.spark.streaming.kafka._ import...： $SPARK_HOME/bin/spark-submit --packages org.apache.spark:spark-streaming-kafka-0-8_2.11:2.0.0 --master
如何进行Kafka数据源连接 1、在maven添加依赖 groupId = org.apache.spark artifactId = spark-streaming-kafka_2.10 version...; import org.apache.spark.api.java.function.PairFunction; import org.apache.spark.streaming.Durations...; import org.apache.spark.streaming.api.java.JavaDStream; import org.apache.spark.streaming.api.java.JavaPairDStream...; import org.apache.spark.streaming.api.java.JavaPairReceiverInputDStream; import org.apache.spark.streaming.api.java.JavaStreamingContext...; import org.apache.spark.streaming.kafka.KafkaUtils; import scala.Tuple2; public class KafkaReceiverWordCount
import org.apache.spark.SparkConf import org.apache.spark.streaming.dstream....{DStream, InputDStream} import org.apache.spark.streaming.kafka010.KafkaUtils import org.apache.spark.streaming...import org.apache.spark.streaming.kafka010.ConsumerStrategies.Subscribe import org.apache.spark.streaming.kafka010....KafkaUtils import org.apache.spark.streaming.kafka010.LocationStrategies.PreferConsistent /** * *...import org.apache.spark.streaming.
{Level, Logger} import org.apache.spark.SparkConf import org.apache.spark.rdd.RDD import org.apache.spark.streaming.dstream.InputDStream...import org.apache.spark.streaming.kafka010....{ConsumerStrategies, KafkaUtils, LocationStrategies} import org.apache.spark.streaming....{Level, Logger} import org.apache.spark.SparkConf import org.apache.spark.streaming....{Seconds, StreamingContext} import org.apache.spark.streaming.kafka010.
groupId = org.apache.spark artifactId = spark-streaming-kafka-0-8_2.11 version = 2.3.0 对于Python应用程序，在部署应用程序时...Scala版本: import org.apache.spark.streaming.kafka._ val kafkaStream = KafkaUtils.createStream(streamingContext.../bin/spark-submit --packages org.apache.spark:spark-streaming-kafka-0-8_2.11:2.3.0 ......Scala版本: import org.apache.spark.streaming.kafka._ val directKafkaStream = KafkaUtils.createDirectStream...Spark版本： 2.3.0 Kafka版本：0.8 原文：http://spark.apache.org/docs/2.3.0/streaming-kafka-0-8-integration.html
{DStream, ReceiverInputDStream} import org.apache.spark.streaming.kafka.KafkaUtils import org.apache.spark.streaming...{DStream, InputDStream} import org.apache.spark.streaming.kafka.KafkaUtils import org.apache.spark.streaming...import org.apache.kafka.common.serialization.StringDeserializer import org.apache.spark.streaming.dstream...{DStream, InputDStream} import org.apache.spark.streaming.kafka010....{ConsumerStrategies, KafkaUtils, LocationStrategies} import org.apache.spark.streaming.
参考官网 http://spark.apache.org/docs/2.1.0/streaming-kafka-0-8-integration.html 之前先确保以下操作： 1、先启动ZK：....Kafka Brokers. import org.apache.spark.streaming.kafka._ val kafkaStream = KafkaUtils.createStream...com.feiyue.bigdata.sparkstreaming.KafkaReceiverWordCount \ --master local[2] \ --name KafkaReceiverWordCount \ --packages org.apache.spark...com.feiyue.bigdata.sparkstreaming.KafkaDirectWordCount \ --master local[2] \ --name KafkaDirectWordCount \ --packages org.apache.spark...:spark-streaming-kafka-0-8_2.11:2.2.0 \ /home/hadoop/lib/spark-1.0-SNAPSHOT.jar hadoop:9092 kafka_streaming_topic
import org.apache.spark.streaming.kafka010....{HasOffsetRanges, KafkaUtils} import org.apache.spark.streaming.kafka010.LocationStrategies.PreferConsistent...import org.apache.spark.streaming....._ import org.apache.kafka.common.serialization.StringDeserializer import org.apache.spark.streaming.kafka010...set("spark.serializer", "org.apache.spark.serializer.KryoSerializer") //这个必须加上，不然通信报错 .set("spark.streaming.kafka.consumer.poll.ms
; import org.apache.spark.streaming.Duration; import org.apache.spark.streaming.api.java.JavaDStream;... org.apache.spark spark-streaming-kafka...; import org.apache.spark.streaming.Durations; import org.apache.spark.streaming.api.java.JavaDStream...; import org.apache.spark.streaming.kafka010.ConsumerStrategies; import org.apache.spark.streaming.kafka010....KafkaUtils; import org.apache.spark.streaming.kafka010.LocationStrategies; import java.util.*; /**
import org.apache.spark.SparkConf import org.apache.spark.streaming.kafka010.{ ConsumerStrategies..., KafkaUtils, LocationStrategies} import org.apache.spark.streaming.{ Durations, StreamingContext...import org.apache.spark.{ SparkConf, SparkContext} import org.apache.spark.streaming.kafka010.{...import org.apache.spark.SparkConf import org.apache.spark.streaming.kafka010.{ ConsumerStrategies...import org.apache.spark.{ SparkConf, SparkContext} import org.apache.spark.streaming.kafka010.{
;import org.apache.kafka.common.TopicPartition;import org.apache.spark.SparkConf;import org.apache.spark.api.java.JavaRDD...;import org.apache.spark.streaming.Durations;import org.apache.spark.streaming.Time;import org.apache.spark.streaming.api.java.JavaDStream...;import org.apache.spark.streaming.api.java.JavaInputDStream;import org.apache.spark.streaming.api.java.JavaReceiverInputDStream...;import org.apache.spark.streaming.api.java.JavaStreamingContext;import org.apache.spark.streaming.kafka010....ConsumerStrategies;import org.apache.spark.streaming.kafka010.KafkaUtils;import org.apache.spark.streaming.kafka010
import org.apache.spark.streaming....{DStream, ReceiverInputDStream} import org.apache.spark.streaming.kafka.KafkaUtils import org.apache.spark.streaming...{DStream, InputDStream} import org.apache.spark.streaming.kafka.KafkaUtils import org.apache.spark.streaming...{DStream, InputDStream} import org.apache.spark.streaming.kafka010....import org.apache.spark.streaming.kafka010.
Spark2.3.1+Kafka使用Direct模式消费信息 Maven依赖 org.apache.spark org.apache.spark spark-streaming_2.11 org.apache.spark.streaming.kafka.KafkaUtils import org.apache.spark.streaming....at java.lang.Class.getConstructor(Class.java:1825) at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator...(KafkaRDD.scala:153) at org.apache.spark.streaming.kafka.KafkaRDD.compute(KafkaRDD.scala:136
添加kafka的pom依赖 org.apache.spark spark-streaming-kafka...org.apache.spark.SparkConf import org.apache.spark.streaming.kafka.KafkaUtils import org.apache.spark.streaming...import kafka.serializer.StringDecoder import org.apache.spark.SparkConf import org.apache.spark.streaming.dstream.InputDStream...import org.apache.spark.streaming.kafka.KafkaCluster.Err import org.apache.spark.streaming.kafka....{HasOffsetRanges, KafkaCluster, KafkaUtils, OffsetRange} import org.apache.spark.streaming.
{DStream, ReceiverInputDStream} import org.apache.spark.streaming.kafka.KafkaUtils import org.apache.spark.streaming...{DStream, InputDStream} import org.apache.spark.streaming.kafka.KafkaUtils import org.apache.spark.streaming...import org.apache.kafka.common.serialization.StringDeserializer import org.apache.spark.streaming.dstream...{ConsumerStrategies, KafkaUtils, LocationStrategies} import org.apache.spark.streaming....import org.apache.spark.streaming.kafka010.
import org.apache.spark.streaming.dstream....{DStream, InputDStream} import org.apache.spark.streaming.kafka010....{DStream, InputDStream} import org.apache.spark.streaming.kafka010....import org.apache.spark.streaming....import org.apache.spark.streaming.kafka010._ import org.apache.spark.streaming.
pom依赖 org.apache.spark spark-streaming-kafka...; import org.apache.spark.streaming.api.java.JavaStreamingContext; import org.apache.spark.streaming.Durations...; import org.apache.spark.streaming.api.java.*; import org.apache.spark.streaming.api.java.JavaPairDStream...; import org.apache.spark.streaming.api.java.JavaStreamingContext; import org.apache.spark.streaming.kafka.KafkaUtils...; import org.apache.spark.streaming.Durations; import scala.Tuple2; // bin/kafka-console-producer.sh
-- Spark Streaming 整合 Kafka 依赖--> org.apache.spark...方法来创建输入流，完整代码如下： import org.apache.kafka.common.serialization.StringDeserializer import org.apache.spark.SparkConf...import org.apache.spark.streaming.kafka010.ConsumerStrategies.Subscribe import org.apache.spark.streaming.kafka010....LocationStrategies.PreferConsistent import org.apache.spark.streaming.kafka010._ import org.apache.spark.streaming...参考资料 https://spark.apache.org/docs/latest/streaming-kafka-0-10-integration.html
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