SparkStreaming小例子
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1.安装nc才可以打开端口
rpm -ivh /media/CentOS_6.7_Final/Packages/nmap-5.51-4.el6.x86_64.rpm
2.ncat -lk 1234
3.
package com.iflytek.sparkstreaming;
rpm -ivh /media/CentOS_6.7_Final/Packages/nmap-5.51-4.el6.x86_64.rpm
2.ncat -lk 1234
3.
package com.iflytek.sparkstreaming;
import java.util.Arrays;
import org.apache.log4j.Level;
import org.apache.log4j.Logger;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.streaming.Duration;
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.JavaReceiverInputDStream;
import org.apache.spark.streaming.api.java.JavaStreamingContext;
import org.apache.log4j.Logger;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.streaming.Duration;
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.JavaReceiverInputDStream;
import org.apache.spark.streaming.api.java.JavaStreamingContext;
import scala.Tuple2;
import scala.collection.generic.BitOperations.Int;
import scala.collection.script.Start;
import sun.net.www.content.audio.x_aiff;
import scala.collection.generic.BitOperations.Int;
import scala.collection.script.Start;
import sun.net.www.content.audio.x_aiff;
public class SparkStreaming {
public static void main(String[] args) {
SparkConf sparkConf = new SparkConf().setAppName("sparkSQL");
sparkConf.setMaster("local[2]");
System.setProperty("hadoop.home.dir", "E:\\spark\\spark-1.6.1-bin-hadoop2.6");
// JavaSparkContext sc = new JavaSparkContext(sparkConf);
JavaStreamingContext jssc=new JavaStreamingContext(sparkConf,Durations.seconds(3));
Logger.getRootLogger().setLevel(Level.OFF);
JavaReceiverInputDStream<String> lines=jssc.socketTextStream("h1", 1234);
JavaDStream<String> words=lines.flatMap(new FlatMapFunction<String,String>() {
SparkConf sparkConf = new SparkConf().setAppName("sparkSQL");
sparkConf.setMaster("local[2]");
System.setProperty("hadoop.home.dir", "E:\\spark\\spark-1.6.1-bin-hadoop2.6");
// JavaSparkContext sc = new JavaSparkContext(sparkConf);
JavaStreamingContext jssc=new JavaStreamingContext(sparkConf,Durations.seconds(3));
Logger.getRootLogger().setLevel(Level.OFF);
JavaReceiverInputDStream<String> lines=jssc.socketTextStream("h1", 1234);
JavaDStream<String> words=lines.flatMap(new FlatMapFunction<String,String>() {
public Iterable<String> call(String x) throws Exception {
return Arrays.asList(x.split(" "));
}
});
JavaPairDStream<String, Integer> pairs=words.mapToPair(new PairFunction<String, String, Integer>() {
return Arrays.asList(x.split(" "));
}
});
JavaPairDStream<String, Integer> pairs=words.mapToPair(new PairFunction<String, String, Integer>() {
public Tuple2<String, Integer> call(String s) throws Exception {
return new Tuple2<>(s,1);
}
});
JavaPairDStream<String, Integer> javaPairDStream=pairs.reduceByKey(new Function2<Integer, Integer, Integer>() {
@Override
public Integer call(Integer arg0, Integer arg1) throws Exception {
return arg0+arg1;
}
});
javaPairDStream.print();
jssc.start();
jssc.awaitTermination();
return new Tuple2<>(s,1);
}
});
JavaPairDStream<String, Integer> javaPairDStream=pairs.reduceByKey(new Function2<Integer, Integer, Integer>() {
@Override
public Integer call(Integer arg0, Integer arg1) throws Exception {
return arg0+arg1;
}
});
javaPairDStream.print();
jssc.start();
jssc.awaitTermination();
}
}
4.截图
注意:如果向端口发送的信息在控制台显示不出来,记得修改端口号,有可能这个端口被占用。
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