java kafka producer

Store map public static map. Synchronizedmap (New hashmapTheme public static String Mytopic = systemconfig.getstring ("Kafka_log_topic"); Service Code public static String Sccode = systemconfig.getstring ("code"); /** * 1. Log directly to Kafka server; 2. If Kafka downtime, log is saved to database * * @param log * Log Entity */ public void Pushlogtokafka () { if (Loglock.trylock ()) { producertry {

producer,producer data to the broker, so the initiator is the business system, and the code below can send the data directly. /**配置producer必要的参数*/Properties props = new Properties();必要的一些配置省略。。。/**选择用哪个类来进行序列化，就是我们自定义的消息类*/props.put("serializer.class", "org.kafka.message.UserInfo");ProducerConfig config=new ProducerConfig(props);/**构造测试数据*/ UserInfo userInfo =

); Mapconsumerconnector.createmessagestreams (map); List); //Create List of 4 threads to consume from each of the partitionsExecutorservice executor = Executors.newfixedthreadpool (4); //consume the messages in the threads for(FinalKafkastreamstream:streams) {Executor.submit (NewRunnable () { Public voidrun () { for(Messageandmetadata msgandmetadata:stream) {//Process Message (Msgandmetadata.message ())System.out.println ("topic:" +msgandmetadata.topic ()); Message Message=(Message) msgandmeta

Producer}public static void Main (string[] args) {New Kafkaproducer ("Test"). Start ();}}ConsumerImport Java.util.HashMap;Import java.util.List;Import Java.util.Map;Import java.util.Properties;Import Kafka.consumer.Consumer;Import Kafka.consumer.ConsumerConfig;Import Kafka.consumer.ConsumerIterator;Import Kafka.consumer.KafkaStream;Import Kafka.javaapi.consumer.ConsumerConnector;public class Kafkacomsumer extends Thread {Private String topic;Public K

Producer}public static void Main (string[] args) {New Kafkaproducer ("Test"). Start ();}}ConsumerImport Java.util.HashMap;Import java.util.List;Import Java.util.Map;Import java.util.Properties;Import Kafka.consumer.Consumer;Import Kafka.consumer.ConsumerConfig;Import Kafka.consumer.ConsumerIterator;Import Kafka.consumer.KafkaStream;Import Kafka.javaapi.consumer.ConsumerConnector;public class Kafkacomsumer extends Thread {Private String topic;Public K

./kafka-console-producer.sh--broker-list localhost:9092--topic topic1, report the following error [2014-12-02 14:16:21,565] ERROR Producer Connection to localhost:9092 unsuccessful (kafka.producer.SyncProducer)Java.net.ConnectException:Connection refusedAt Sun.nio.ch.Net.connect0 (Native Method)At Sun.nio.ch.Net.connect (net.java:465)At Sun.nio.ch.Net.connect (net.java:457)At Sun.nio.ch.SocketChannelImpl.co

Producer and consumer issues in java threads, java producer I. Concepts The producer-consumer issue is a golden multi-thread collaboration problem. The producer is responsible for producing and storing the product in the warehouse

=/tmp/kafka_ Metricskafka.csv.metrics.reporter.enabled=falseBecause Kafka is written in the Scala language, running Kafka requires first preparing the Scala-related environment.There may be an exception to the last instruction execution, but no matter what happens. Start Kafka Broker:> jms_port=9997 bin/kafka-server-st

[TOC] Kafka Note Finishing (ii): Kafka Java API usageThe following test code uses the following topic:$ kafka-topics.sh --describe hadoop --zookeeper uplooking01:2181,uplooking02:2181,uplooking03:2181Topic:hadoop PartitionCount:3 ReplicationFactor:3 Configs: Topic: hadoop Partition: 0 Le

Java _ multithreading _ producer and consumer (concurrent collaboration), java producer For multi-threaded programs, regardless of any programming language, producer and consumer models are the most classic. Just like learning every programming language, Hello World! Are the

Today, read a blog, the Java multi-thread threads of collaboration, in which the author uses the program examples to illustrate the producer and consumer issues, but I and other readers found that the program more than a few times there will be a deadlock, Baidu searched the majority of the sample also has a bug, after careful study found in the problem. And conquer, feel meaningful paste out to share under

Today I read a blog about the collaboration of Java multi-line threads, the author of the program to illustrate the issue of producers and consumers, but I and other readers found that the program more than a few times or there will be deadlocks, Baidu searched the majority of examples are also a bug, after careful study found that the problem, and resolved, Feel a sense of meaning posted out to share. The first post is the bug code, a 4-class, Plate.

Java programming consumer and producer, java programming producer Create a new Break class to indicate the number of foods. Public class Break {public static final int MAX = 10; // you can cook up to ten breads at a time. In the creation of a kitchen class, in order to make food or consume food, if there is no food, t

resources are accessed at most one thread at any time. The Java language implements a full object in multithreaded programming and provides good support for synchronization mechanisms. There are four methods in Java that support synchronization, the first three of which are synchronous methods, and one is the pipe method. (1) Wait ()/Notify () method (2) await ()/signal () method (3) Blockingqueue blocking

Java multithreading producer consumer, java multithreading producer Producer and consumer instances: Product Type:/*** Product type**/Public class Goods {Final int MAX_NUMBER = 30; // maximum numberFinal int MIN_NUMBER = 0; // minimum numberPrivate int number;Public Goods (i

();}}Producer Producers:public class Producer implements Runnable {Private info info = null;Public Producer (Info info) {This.info = info;}@Overridepublic void Run () {for (int i=0; iThis.info.set ();}}}Consumer consumers:public class Consumer implements Runnable {Private info info = null;Public Consumer (Info info) {This.info = info;}@Overridepublic void Run ()

In the previous section (Point this transfer), we completed the Kafka cluster, in this section we will introduce the new API in version 0.9, and the test of Kafka cluster high availability1. Use Kafka's producer API to complete the push of messages1) Kafka 0.9.0.1 Java Clien

, consuming input streams from 1 or more topic, and producing an output stream to 1 or more topic, effectively swapping the input flow to the output stream. The connector API allows you to build or run reusable producers or consumers and link topic to existing applications or data systems. The example diagram is as follows:Kafka Application Scenarios Build real-time streaming data pipelines that can reliably get data between systems or applications. Build live streaming app

:30043 MS have passed since batch creation plus linger Time[kafka-producer-network-thread | producer-1] Error Com.zlikun.mq.producertest-send error!org.apache.kafka.common.errors.timeoutexception:expiring 3 record (s) For zlikun_topic-1:30043 MS have passed since batch creation plus linger Time[kafka-

Kafka 0.9 version of the Java Client API made a large adjustment, this article mainly summarizes the Kafka 0.9 in the cluster construction, high availability, the new API related processes and details, as well as I in the installation and commissioning process to step out of the various pits.About Kafka structure, func