concurrent programming book

Java.lang.thread.uncaughtexceptionhandler;import Java.util.concurrent.blockingqueue;import Java.util.concurrent.threadfactory;import Java.util.concurrent.threadpoolexecutor;import Java.util.concurrent.timeunit;public class Examplethreadpool extends Threadpoolexecutor {public Examplethreadpool ( int corepoolsize, int maximumpoolsize,long keepalivetime, timeunit unit,blockingqueueJust give the example of Threadfactory.It is also important to note that only the task submitted through execute will

Public classmyDataSource {Private StaticLinkedlistNewLinkedlist(); Private Static Final intInit_connections = 10; Private Static FinalString driver_name = "Com.mysql.jdbc.Driver"; Private Static FinalString URL = ""; Private Static FinalString USER = ""; Private Static FinalString PASSWORD = ""; Static { Try{class.forname (driver_name); for(inti = 0; i ) {Connection Connection=drivermanager.getconnection (URL, USER, PASSWORD); Pool.addlast (connection); } } Catch(Except

the lock, this is the " Mutex " (mutex)In the application, the specific use of concurrent programming, one is multi-process concurrency, and the second is multithreading concurrency, such as:(1) Multi-process concurrency (2) Multithreading concurrency2 program Examples implementing multithreading requires 1) header file 2) separate thread function ThreadFunc () 3) Thread object thread t (thre

The drawbacks of multithreading (process) in high concurrency programming In fact, from the famous c10k problem, when it comes to high-concurrency programming, multithreading (or process) is an undesirable solution, the core reason is because the thread (or process) is essentially a resource of the operating system, each thread needs to occupy an additional 1M or 2M of memory space, so 2G memory, The numbe

(IsShutDown Reservations = = 0) - Break; - } AString msg =Queue.take (); + synchronized(Logservice. This) { the--reservations; - } $ writer.println (msg); the}Catch(interruptedexception e) { the /*Retry*/ the } the - } in}finally { the writer.close (); the } About } the } the} Reference1.

atomic classes in the Java.util.concurrent.atomic package to use these features in the CPU.Here is an example of using the Atomicboolean class to implement the Lock () method: 1 publicstatic classMyLock { 2 privateAtomicBoolean locked = newAtomicBoolean(false); 3 4 publicbooleanlock() { 5 returnlocked.compareAndSet(false, true);

canceled or fails, the calculation will indicate that the computation process has been canceled or failed. In order to resolve this situation, if Memoizer finds that the calculation was canceled or detected with RuntimeException, the future will be removed. Memoizer also does not address cache overdue issues, but can be resolved by using subclasses of Futuretask, specifying a time-out for each result in subclasses, and periodically scanning for overdue elements in the cache. Similarly, the cach

Python 3 Concurrent Programming Multi-process queue (recommended)Processes are isolated from each other, and to implement interprocess communication (IPC), the Multiprocessing module supports two forms: queues and pipelines, both of which are delivered using messaging.Can put any type of data into the queueCreate a queue class (the underlying is implemented as a pipe and lock):1 queue ([MaxSize]): Creates a

Knowledge of preamble Theory: Python Concurrent Programming Multithreading (i) Introduction of a threading moduleThe multiprocess module completely imitates the interface of the threading module, which has a great similarity in the use level.Official website Link: https://docs.python.org/3/library/threading.html?highlight=threading# (loaded in B mode ...). ）Two ways to open a threadWay OneMode twoThr

About Python concurrent programming knowledge, this article is basically introduced in place, want to learn Python's friends can refer to.python concurrency ProfileWe call a running program a process. Each process has its own system state, which contains the memory state, the open file list, the program pointer that tracks the execution of the instructions, and a call stack that holds the local variables. T

about turning around with Microsoft. UNIX advanced programming version 2ndAdvanced Programming in UNIX environment is a must-have book for Unix/Linux programmers. It can be said that if a Linux programmer has not read this Books, just as Christians have not read the Bible, are hard to understand. This book summarizes

can also be used for concurrent server design, commonly used functions select () or poll () to implement. Socket (...); Create socket bind (...); Bind Listen (...); Listen while (1) {if (select (...) > 0)//detect if the listener socket is readable {if (Fd_isset (...) >0)//socket readable, proves that there is a new client connection server {accpet (...); /Remove the completed connection process (...); /processing request, feedback r

, like Gevent and Eventlet, the event loop is implicitly started in a greenlet. There is no need to call the reactor (reactor) of run () or dispatch (), which is reactor in twisted. When Gevent's API function wants to block, it gets the hub instance (the Greenlet of the execution time loop) and switches the past. If there are no hub instances, they are created dynamically.The event loop provided by Libev uses the system's fastest polling mechanism by default, setting the LIBEV_FLAGS environment

JAVA programming (19) ----- setting up a Server Client that queries information supports concurrent Multithreading Design and develop a server program that provides traffic violations and weather conditions in major cities. If you enter# JT # Sichuan A 12345Indicates that the user needs to query the license plate numberSichuan A 12345Of the carAllViolation information. If you enter# TQ # ChengduIt indicates

[Java concurrent programming] 3. DelayQueue Application Scenario, multi-examinee test, javadelayqueue This scenario comes from: http://www.cnblogs.com/sunzhenchao/p/3515085.html. Simulate the day of a test. The test time is 120 minutes. You can submit the exam only 30 minutes later. When the time is up, or the students finish the exam. Note the following points in this scenario: Abstract two classes: Studen

loop() for i := 0; i 2; i++ { Execution Result:0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9The second way to voluntarily let go of CPU time is still to run in a single core. But the hand site switching Goroutine led to the seemingly "parallel".Third, runtimeThe runtime Scheduler is a magical thing, but I hope it doesn't exist, and I want the explicit dispatch to be more natural and multicore processing turned on by default.About the runtime package several functions:Gosched ()//yield CPUNUMCPU ()//

-}Interested students can use the above code to run, you can see the first 10 threads do not consume time, can be directly obtained, the latter will be blocked (spend more and more time), returned to get a connection, because my connection license is set to 10, so the maximum number of concurrent each time is 10.Other methodsSemaphore also provides some other methods: int availablepermits (): Returns the number of licenses currently ava

); } Catch(interruptedexception e) {e.printstacktrace (); } if(Atomic_stamped_reference.compareandset (OldValue, B, Stamp, stamp+1) {System.out.println (Thread.CurrentThread (). GetName ()+ "The original value:" +oldvalue+ "has been modified, the value is:" +atomic_stamped_reference.getreference ()); } } }; Threads[i].start (); } thread.sleep (200); Startlatch.countdown (); NewThread () {@Override Public voidrun () {Try{thread

In this section, we describe the lock-related APIs provided in the go language. This includes mutexes and read-write locks. We described the mutex in the 6th chapter, but did not mention the read-write lock. Both of these locks are very common and important for traditional concurrent programs. One, mutual exclusion lock Mutual exclusion Lock is the main means of accessing and controlling shared resources by traditional

while waiting for input (i.e. I/O) is called blocking, when the grep command cannot be runIn fact, in both cases, a process cannot be logically run, Process hangs is its own cause, encountering I/O blocking, it will let the CPU to allow other processes to execute, so that the CPU has been working Process-Independent, OS-level, may call other processes to use the CPU because a process takes up too much time, or a priority, and so on. Thus a process consists of three statesVIII.