kafka spark streaming java example

Spark Streaming Application Simple example Package Com.orc.stream Import org.apache.spark.{ sparkconf, Sparkcontext} import org.apache.spark.streaming.{ Seconds, StreamingContext} /** * Created by Dengni on 2016/9/15. Today also are mid-Autumn Festival * Scala 2.10.4 ; 2.11.X not Works * Use method: * Start this program in this window * 192.1

processing data is time4 and Time5;invreducefunc processing data is time1 and time2. Special special handling is needed here, window at time 5 to understand the last moment of time 5, if the time here is a second, then time 5 is actually the 5th second last moment, that is, the first 6 seconds. This will be explained in detail later in the blog post.The key point is almost explained, Reducefunc's function is good to understand, the function of the first parameter reduced can be understood as ti

Java+hadoop+spark+hbase+scalaUnder/etc/profile, add the following environment variablesExport java_home=/usr/java/jdk1.8.0_102Export JRE_HOME=/USR/JAVA/JDK1.8.0_102/JREExport classpath= $JAVA _home/lib/tools.jar: $JAVA _home/lib/d

java.util.map;import Java.util.properties;import Java.util.concurrent.executorservice;import Java.util.concurrent.executors;import Kafka.consumer.consumer;import Kafka.consumer.consumerconfig;import Kafka.consumer.consumeriterator;import Kafka.consumer.kafkastream;import Kafka.javaapi.consumer.consumerconnector;import Kafka.message.messageandmetadata;public class Logconsumer {private Consumerconfig config; Private String topic; private int partitionsnum; Private Messageexecutor exec

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(true) {String message = "message-" + ++count;//消息主题是testKeyedMessagenew KeyedMessage"test", message);//message可以带key, 根据key来将消息分配到指定区, 如果没有key则随机分配到某个区// KeyedMessageproducer.send(keyedMessage);System.out.println("send: " + message);try {Thread.sleep(1000);} catch (InterruptedException e) {e.printStackTrace();}}// producer.close();} }/*** 自定义分区类**/class MyPartition implements Partitioner {public int partition(Object key, int numPartitions) {return key.hashCode()%numPartitions;}} From fo

;ImportKafka.javaapi.consumer.ConsumerConnector;ImportKafka.serializer.StringDecoder;Importkafka.utils.VerifiableProperties; Public classKafkaconsumer {Private FinalConsumerconnector Consumer; PublicKafkaconsumer () {Properties props=NewProperties (); //Zookeeper ConfigurationProps.put ("Zookeeper.connect", "192.168.91.231:2181"); //Group represents a consumer groupProps.put ("Group.id", "Jd-group"); //ZK Connection timed outProps.put ("zookeeper.session.timeout.ms", "4000"); Props.put ("Zookee

Introduction: About Java IO flow is very common, basically every project will be used, each encounter is to find a search on the internet, and tried. Last time a colleague asked me to read a Java file, I suddenly Meng the first reaction is to go online to find, although also can find, but their total feeling is not very practical, so today took time to see some of the