fences producer

The use of producer and consumer patterns in concurrent programming can solve most concurrent problems. This model improves the overall processing speed of the program by balancing the working capability of the production process and the consuming thread. Why to use producer and consumer models In the online world, the producer is the thread that produces the d

Http://www.cnblogs.com/zyp4614/p/6033757.html(Java and operating system process synchronization problem (i) ———— mutex issues)Today is the most classic producer of consumer problems, the simplest version, that is, only one buffer, the buffer can only put one item, that is, regardless of the mutual exclusion relationship.Simple analysis: Producers can put products in buffers when the buffer is empty, consumers can take a product when the buffer is not

Tags: thread producer consumer Mode The producer and consumer modes are shown in. Blog purpose: Use graphs to speak. Sample Code: Package COM. huan; public class produceconsumer {public static void main (string [] ARGs) {middleware = new middleware (); New thread (new producer (middleware )). start (); New thread (new consumer (middleware )). start () ;}}

Producer-consumer is an interesting algorithm. Its existence mainly serves two purposes. The first is to satisfy the producer's constant creation of resources, and the second is to satisfy the consumer's constant demand for resources. Of course, because space is limited, resources cannot be stored infinitely or requested infinitely. Producer Algorithm WaitForSingleObject(hEmpty, INFINITE); WaitForSin

Packagedemo;Importjava.util.Properties;ImportKafka.javaapi.producer.Producer;ImportKafka.producer.KeyedMessage;ImportKafka.producer.ProducerConfig; Public classProducer {Private FinalProducerproducer; Public Final StaticString TOPIC = "Test"; Privateproducer () {Properties props=NewProperties (); //The Kafka port is configured here .Props.put ("Metadata.broker.list", "192.168.152.20:9092"); //to configure the serialization class for valueProps.put ("Serializer.class", "Kafka.serializer.StringEn

Public Class Cell{ Bool Flags = False ; Int Result = 0 ; Public Void Write ( Int N){ Lock ( This ){If (Flags){ Try {Monitor. Wait ( This );} Catch (Threadstartexception E){Console. writeline (E );}}Result = N;Console. writeline ( " Write: {0} " , Result );Flags = True ;Monitor. Pulse ( This );}} Public Int Read (){ Lock ( This ){ If (! Flags){ Try {Monitor. Wait ( This );} Catch (Threadstartexception E){Console. writeline (E );}}Console. writeline ( " Read: {0} " , Result );Flags = Fals

Producer-Consumer model1. Example:Class Resource{private string Name;private int count = 1;private Boolean flag = false;public synchronized void Set (string Name) {if (flag) try {this.wait ();//this represents the calling function thread} catch (Interruptedexception e) {}this.name = name+ "__" + count++; System.out.println (Thread.CurrentThread (). GetName () + "... Producer "+ this.name); flag = True;this.

This is a creation in Article, where the information may have evolved or changed. In the actual business scenario, in order to improve the real-time performance of the system, reduce the pressure of log storage, the need to direct the production of logs to the message middleware, reduce the flume or flumted collection caused by the delay and pressure, this paper realizes the function:Implements a static call to the asynchronous producer AsyncproducerE

1, using the function to implement the producer consumer model(1), the source code is as follows:#!/usr/bin/python#_*_coding:utf-8_*_importthreadingimporttimeimportqueueimport Randomdefproducer (Name,que):whiletrue: ifque.qsize () (2), operation result:650) this.width=650; "Src=" Http://s5.51cto.com/wyfs02/M01/89/80/wKioL1gV3Z6TTZnLAACEeavOGY0439.png-wh_500x0-wm_3 -wmp_4-s_3979700276.png "title=" Qq20161030194625.png "alt=" Wkiol1gv3z6ttznlaaceeavogy0

Producer Consumer Producers create data, control traffic through intermediaries, and deliver it securely to consumers.Applicable environment The speed of producer production data is inconsistent with the speed with which consumers process data, and intermediaries adjust the data pressure of consumers by caching and blocking. Sample Example 4 producers produce products, put i

Public class Customer extends thread{ private Queue q; Public Customer (Queue q) { this.q = q; } public void Run () { for (int i = 0; i int value = Q.get (); } } } public class Producer extends thread{ private Queue q; Public Producer (Queue q) { this.q = q; } public void Run () { for (int i = 0; i Q.put (i); } } } public class Queue { int value; Boolean bfull = false; Synchronized public void