kafka consumer java

thread pool, connection pool, and so on. Therefore, it is also necessary to know the reason why, and we then explain the code to illustrate the focus of this implementation code:1. There is only one resource pool.2.synchronized, is the lock object, simply say: An object has and only a lock, when there are more than one synchronized method or block of code to request a lock on the object, at the same time, only one thread will get the lock and run, the others are blocked.3.wait, refers to the th

{ while(List.size ()!=0) {lock.wait (); } String Value=system.currenttimemillis () + ""; List.add (value); System.out.println ("Produce:" +value); Lock.notifyall (); } Catch(interruptedexception e) {e.printstacktrace (); } } }} Public classTest { Public Static voidMain (string[] args)throwsinterruptedexception {Object o=NewObject (); Service Service=NewService (o); for(inti = 0; I //the number here is 1. NewThread () {@Override

");Customerlockcondition.signalall ();}} catch (Exception e) {E.printstacktrace ();} finally {Release lockLock.unlock ();}}/*** Production*/Public synchronized void customer () {Lock.lock ();try {while (true) {Consumer Waitingwhile (Resource.isflag ()) {Customerlockcondition.await ();}Set to ConsumedResource.setflag (TRUE);SYSTEM.OUT.PRINTLN ("Consumer thread" + thread.currentthread (). GetName () + "consum

{ } /*** Get a user's fan list * *@paramtoken *@paramUserId *@paramRedisutil *@throwsException*/ Private voidFansupdate (String token, string myuserid, Hashredisutil redisutil)throwsException { } //producer Public classProducerImplementsRunnable {PrivateStorage s =NULL; PrivateUsermapper Mapper; PublicProducer (Storage s, Usermapper mapper) { This. S =s; This. Mapper =mapper; } Public voidrun () {Try { while(true

=newproducer ("P2", m); Producerp3=newproducer ("P3", m); Producerp4=newproducer ("P4", M); Consumerc1=newconsumer ("C1", m); Consumerc2=newconsumer ("C2", m); Threadctd1=newthread (C1); Threadctd2=newthread (C2); Threadptd1=newthread (p1); Threadptd2=newthread (p2); Threadptd3=newthread (p3); Threadptd4=newthread (p4);p Td1.start ();p Td2.start ();p Td3.start ();p td4.start (); try{ System.out.println ("Main thread sleeps for 5 seconds. "); Thread.Sleep (5000); SYSTEM.OUT.PRINTLN ("The main thr

The Kafka version I use is: 0.7.2 The JDK version is: 1.6.0_20 Http://kafka.apache.org/07/quickstart.html The official example is not very complete, the following code is my supplement and can be run after compiling. Producer Code [Java] View Plain copy importjava.util.*; importkafka.message.message; Import kafka.producer.ProducerConfig; importkafka.javaapi.producer.producer; Import kafka.javaapi.producer

Producer, consumer, fixed-length buffer, and thread can be interrupted externally Import java. util. arrays;Import java. util. date;Import java. util. Collections list;Import javax. Swing .*; Public class producerconsumer { Public static jframe inst; Public static void main (string [] ARGs ){ Bufferlock buffer = new bu

IntroductionProducer and consumer issues are a classic problem in threading models: producers and consumers share the same storage space during the same time period , as shown in, producers store data in space, and consumers access data, If not coordinated, the following conditions may occur:Producer Consumer ChartStorage space is full, and producers occupy it, consumers wait for producers to give up space

:" +count); Count--; This. Notifyall (); } Public Static voidMain (string[] args) {//TODO auto-generated Method StubStore s =NewStore (5); Thread Pro=NewProducer (s); Thread Con=NewConsumer (s); Thread Pro2=NewProducer (s); Thread Con2=NewConsumer (s); Pro.setname ("Producer 1"); Con.setname ("Consumer 1"); Pro2.setname ("Producer 2"); Con2.setname ("Consumer 2"); Pro.start (); Con.st

) { + - } theSystem.out.println (Thread.CurrentThread (). GetName () + "consumed" + This. Name); *Flag =false; $ This. Notifyall ();Panax Notoginseng } - the } + A /* the * Producer + */ - classProducerImplementsRunnable $ { $ PrivateResource Res; - Producer (Resource res) { - the This. res =Res; - }Wuyi Public voidrun () { the - while(true){ Wu -Res.set ("Toothpaste");

ThreadA extends Thread {private Printer printer;public ThreadA(Printer printer) {this.printer = printer;}public void run() {for(int i = 0; i 10; i++) {printer.printA();}}}static class ThreadB extends Thread {private Printer printer; public ThreadB(Printer printer) {this.printer = printer;}public void run() {for(int i = 0; i 10; i++) {printer.printB();}}}public static void main(String args[]) {Printer printer = new Printer(); // A、B线程共享同一个打印机Thread a = new ThreadA(printer);Thread b = new ThreadB

Consumer all back to the mall development app Platform: 151.1222.4001 (synchronous) consumption of all-back system development, consumption of the full return to the development of the mall, consumption of all back to the development of the model, consumption of the full return to the platform development, consumer all back to the app development, consumption of all back to the model,

Thread communication example-producer consumer issuesThis kind of problem describes a situation, assume that the warehouse can only store one product, the producer will produce the product into the warehouse, the consumer will take away the product of the warehouse. Assuming there is no product in the warehouse, the producer can put the product into the warehouse and have the product, stop the production an

; ImportKafka.producer.ProducerConfig; /** Own in the source server writes the producer to Kafka inserts the data, note the file "Producer.properties puts under the Linux the jar file same directory * listens to a directory the file data then writes Kafka * Nohup Java-jar Portallog_producer.jar portallog/var/apache/logs portallog.position >/home/sre/portalhandler

In multithreaded development, one of the most classic models is the producer consumer model, they have a buffer, the buffer has the maximum limit, when the buffer is full, the producer is unable to put the product into the buffer, of course, when the buffer is empty, the consumer can not take out the product, whichRelated to the conditional judgment in multi-threading,