kafka consumer java

; This. List =list; } Public voidrun () { while(true) { synchronized(list) { while(List.isEmpty ()) {System.out.println ("The warehouse is empty."); Try{list.wait (); } Catch(interruptedexception e) {//TODO auto-generated Catch blockE.printstacktrace (); }} System.out.println ( This. GetName () + "spending:" + list.get (List.size ()-1)); List.remove (List.size ()-1); //consumers inform producers that warehouses are emptyList.notifyall (); ; } } }} Packagecom.

Remember the first time to do the Java problem, see "write producer consumer problems", but also think it is related to the factory model. Now it is thunder to think about it.Java's producer consumer problem is the multi-threaded concurrent operation of the same resource buffer, when the resource buffer is full, the thread continues to add data, you should make i

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/dt.jar: $

Java Connection Kafka operation, stand-alone version Kafka The code is recorded as follows 1. Maven Add Dependency configuration: 2, Java code implementation: Package Com.sam.project.kafka; Import Java.util.Iterator; Import java.util.List; Import Java.util.Map; Import java.util.Properties; Import Java.util.c

("consumption:---------" + sm[index] + "Total" + index + "a steamed bun"); return Sm[index]; } } Class Producer implements Runnable { Stackbasket ss = new Stackbasket (); Producer (Stackbasket ss) { THIS.SS = SS; } /** * Show production process. */ public Void Run () { For (int i = 0;i 20;i++) { Mantou m = new Mantou (i); Ss.push (m); System.out.println ("produced:" + M + "Total" + Ss.index + "a steamed bun"); It is inappropriate to test on the

Java.util.concurrent.executorservice;import Java.util.concurrent.executors;import Java.util.concurrent.linkedblockingqueue;public class Main {public static void Main (string[] args) throws interruptedexception{blockingqueueUsing Notifyall and waitPackage Com;import Java.util.list;public class Consumer implements Runnable{private list　　Package Com;import Java.util.list;import Java.util.random;public class Producer implements Runnable {private list　　Pa

(interruptedexception E1) { - e1.printstacktrace (); Wu } - } AboutE e = list.get (0); $List.remove (0); -System.out.println (Thread.CurrentThread (). GetName () + "consumer Products"); - Try { -Thread.Sleep (1000); A}Catch(interruptedexception E1) { + e1.printstacktrace (); the } - List.notifyall (); $ returne; the } the } the the /** - * Determine if the current warehou

); Ss.push (WT); System.out.println ("Producer.run ()" +wt); Try{Thread.Sleep (Long) (Math.random () *1000)); } Catch(interruptedexception e) {e.printstacktrace (); } } }}classConsumerImplementsRunnable {syncstack ss=NULL; PublicConsumer (Syncstack ss) { This. SS =SS; } @Override Public voidrun () { for(inti = 0; I ) {Wotou wt=Ss.pop (); System.out.println ("Consumer.run () >>>>>>>>>>>>" +wt); Try{Thread.Sleep (Long) (Math.random () *1000)); } Catch(interruptede

() + "producer" +this.name); flag = True;conout.signal (); Lock.unlock ();} public void Out () {Lock.lock (), while (!flag) {try {conout.aWait ();} catch (Interruptedexception e) {e.printstacktrace ();}} System.out.println (Thread.CurrentThread (). GetName () + "consumer ________" +this.name); flag = False;conin.signal (); Lock.unlock ();}} Class Inputii implements Runnable{private resii r;inputii (resii R) {this.r=r;} public void Run () {while (true

In the previous producer consumer program, the data produced by the producer at a time can be read multiple times by the consumer. Obviously, this does not meet our requirements. In this regard, the above procedures are improved: 1) The producer produces data once and the consumer obtains the data once; 2) A bucket can only store one pair of data We will use the

This is a classic example of thread synchronization, the source code is as follows:[Java]View Plaincopy "FONT-SIZE:16PX;"> Packagedemo.thread; /** * Classic producer and consumer issues: producers constantly store their products in warehouses and consumers consume products from warehouses. * Both producers and consumers can have a number of. Storage capacity is limited, storage is not availabl

This article describes the Java multithreading solution to the problem of producer consumers. Share to everyone for your reference. The specific analysis is as follows: The title is this: Adopt Java Multithreading Technology, design and implement a program that conforms to the problem of producer and consumer. Operates on an object (the barrel) with a maximum c

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

+ +; + } - + } A at}Consumer's thread, this time super simple ~~~1 Public classGetThreadImplementsRunnable {2 PrivateStudent S;3 4 PublicGetThread (Student s) {5 This. S =s;6 }7 8 Public voidrun () {9 while(true) {Ten s.get (); One } A } -}Consumer's thread, this time super simple ~~~1 Public classDemo {2 Public Static voidMain (string[] args) {3 //shared data, created externally, as parameters, by constructing common4

Exchanger is a concurrency tool under the Java.util.concurrent class library. The following is a description of exchanger in the Java API documentation.A synchronization point at which threads can pair and swap elements within pairs. Each thread presents some object in entry to the Exchange method, matches with a partner thread, and receives its partner ' S object on return. An Exchanger is viewed as a bidirectional form of a synchronousqueue. Exchang

Stub - for(intI= 0;i) the { -Steamedbun bun =Ss.pop (); -System.out.println ("Eat" +bun); - + Try { -Thread.Sleep ((int) (Math.random () * 1000)); +}Catch(interruptedexception e) { A //TODO auto-generated Catch block at e.printstacktrace (); - } - } - } - -}1 Packageproducer;2 3 Public classSteamedbun {4 Private intID;5 Private intindex;6 PublicSteamedbun (intIndexintID) {7 This. ID =ID;8

). This option provides the lowest latency but the weakest durability guarantees (some data would be lost when a server fails) .1, which means that the producer gets a acknowledgement after the leader replica have received the data. This option provides better durability as the client waits until the server acknowledges the request as successful (only M Essages that were written to the Now-dead leader and not yet replicated would be lost).-1, which means that the producer gets a acknowledgement

Reference: https://www.jianshu.com/p/9e72b3942c59The reason is Num.patitions = 1 in the Kafka cluster kafka/config/server.properties file. The partition default value needs to be modified.Partitions the number of partitions nodes created by default when creating topic, only the newly created topic takes effect, and all tries to set a reasonable value at the time of project planning. You can also dynamically

(); System. out. println ("\ n"+"The machine gun starts to press into the bullet:"+"\ n"); for(intj =0; J A; J + +) {List.add (J+1); System. out. println ("has been pressed into section"+ (J +1) +"Bullets"); } clip.put (list); } }}//consumers, firing bulletsclassCustomer extends Thread {PrivateGunclip clip; Customer (Gunclip clip) { This. Clip =clip; } Public voidrun () { while(true) {clip.Get(); } }}The above code mainly introduces the J