With Arrayblockingqueue, it is easy to implement both producer and consumer, and all consumer threads share resources arrayblockingqueue objects for thread safety. The producer thread searches the current directory and subdirectories and adds the corresponding file object to the queue , the consumer thread queries the keyword for each file object, and if it checks to the head, it stops the query. ImportJav
Implement the producer and consumer model (instance description) by using the Queue instance description
In Python, a queue is the most common form of data exchange between threads.
The Python Queue module has three queues and constructor functions:
1. The first-in-first-out Queue of the Python Queue module. Class Queue. Queue (maxsize)
2. LIFO is similar to heap, that is, first and then output. Class Queue. LifoQueue (maxsize)
3. The lower the priori
This article mainly introduced the Python condition variable's producer and the consumer operation, combined with the concrete instance form to analyze the python condition variable concept, the principle, and the thread operation related skill, the need friend can refer to the next
This paper describes the producer and consumer actions of the Python condition variables. Share to everyone for your referenc
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Article, where the information may have evolved or changed.
Golang realize multi-producer and multi-consumer:
package mainimport ( "fmt" "time")func consumer(cname string, ch chan int) { for i := range ch { fmt.Println("consumer--", cname, ":", i) } fmt.Println("ch closed.")}func producer(pname string, ch chan int) { for i := 0; i
Operation Result:
D:/Go/pv/pv
Python custom process pool instance analysis [producer and consumer model problems], python instance analysis
This article analyzes the Python custom process pool. We will share this with you for your reference. The details are as follows:
Code Description:
# Encoding = UTF-8 # author: walker # date: 2014-05-21 # function: the User-Defined Process pool traverses files in the directory from multiprocessing import Process, Queue, Lockimport time, OS # C
, will lock to consumers, consumers start spending, when no product can be consumed, consumers wait, The lock is given to the producer and the producer begins production. Define the total production cap max_produce and the maximum capacity per producer (upper limit) max_signle_produce and the maximum amount of consumption per consumer max_single_consume, in parti
;2.3 P, v operation650) this.width=650; "src=" Http://s3.51cto.com/wyfs02/M01/7F/63/wKiom1ccok_A1kosAAAoFPKITfc371.png "title=" capture. PNG "alt=" Wkiom1ccok_a1kosaaaofpkitfc371.png "/>Sem_wait (): Gets the resource (P action-1), which causes the value of semaphore to be reduced by 1, and if the value of semaphore is already 0 when calling Sem_wait (), the wait is suspended. If you do not want to suspend the wait, you can call Sem_trywait ().Sem_post (): Frees the resource (v operation + 1), ad
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 =
Notes for multithreading:
1. This. Wait () and this. Sort y () must be used in pairs;
2. Be careful with sychronized. Be careful when locking or not locking. If you use sychronized, the efficiency may decrease and unexpected results may not be caused.
3. There is a big difference between wait and thread. Sleep:Wait is the method in the object class, and sleep is the method under the thread. Wait indicates that the current thread performs wait...
Sleep controls the waiting time before exe
First, describe the problem to be solved:
There is a warehouse with a maximum of seven slots. At first, each slot is empty. When there is an empty slot, the producer is allowed to put things in it. When there is something in the slot, the consumer is allowed to take it from it; when it is full, it is not allowed to put it again; if it is empty, it is not allowed to take it again. Because of warehouse design problems, only one person is allowed to pu
Previously wrote a producer consumer's implementation in C + +. Producers and consumers are primarily dealing with mutual exclusion and synchronization issues:
Queue as buffer, requires mutex operation
There are no products in the queue, and consumers need to wait until the producer puts the product in and notifies it. Queues are similar in slow conditions.
Here I use the lis
. For example, if a consumer is being blocked on a get () operation, shutting down a queue in a producer does not cause the get () method to return an error. Q.cancel_join_thread () will no longer automatically connect to the background thread when the process exits. This will prevent the Join_thread () method from blocking. Q.join_thread () The background thread that connects the queue. This method is used to wait for all queue items to be consumed a
This time using Reentrantlock to implement the producer consumer model, the first reentrantlock, usually called a re-entry lock, so-called re-entry is a thread can again enter the lock has been held in the code block, the number of re-entry will be counted internally, when the count is 0, the lock is released. In fact, the Synchronized keyword represents the built-in lock, but also can be re-entered. But there are several differences:1, Reentrantlock
Communication between the threads producer and consumerpublic class Testdemos3{public static void Main (string[] args) {res r = new Res (), Input in = new input (r), Output out = New Output (R); thread T1 = new thread (in); Thread t2 = new Thread (out); T1.start (); T2.start ();}} class res{string name; String sex;} Class Input implements Runnable{private Object obj;private Res r;input (res r) {this. R = r;} public void Run () {Boolean b = False;whi
// Producer-consumer is a classic process synchronization problem, which was first proposed by Dijkstra to demonstrate the semaphore mechanism proposed by him. // Two threads executed in the same process address space. The producer thread produces the item and places the item in an empty buffer for consumption by the consumer thread. // The Consumer thread obtains the item from the buffer and then releases
define pthread_mutex_initializer for initialization, which is equivalent to pthread_mutex_init for initialization and the ATTR parameter is null.
One thread can call pthread_mutex_lock to obtain the mutex. If another thread has already called pthread_mutex_lock to obtain the mutex, the current thread needs to wait until another thread calls pthread_mutex_unlock to release the mutex. The current thread is awakened, to obtain the mutex and continue the execution.
The specific function above can b
set up a product buffer, and multiple producers and consumers access the buffer mutex.
1. Model Analysis
The producer and consumer issues are essentially a synchronization and mutex problem. The following points should be noted:
1) Synchronization: When the buffer zone is not full, the producer thread can continue to execute. The producer execution result
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