concurrency and multithreading

Java multithreading concurrency to invoke static method security of a classtransferred from: http://blog.csdn.net/weibin_6388/article/details/50750035This article mainly discusses the data security of multithreading to static method accessSummarized as follows:1,java in the execution of static methods, will be copied in memory, if the static method is inside the

Java multithreading features provide great convenience for building high-performance applications, but it also brings a lot of trouble. Thread synchronization, data consistency, and other cumbersome issues need to be carefully considered. If you are not careful, there will be some subtle and difficult debugging errors. In addition, application logic and thread logic are entangled, which will lead to chaotic logic structure of the program, making it di

achieved the effect we want. This also gives me a big suspicion. Is the problem really so strange?It is not difficult to see that except Atomicinteger is using its own method and the other is using the Java syntax sugar + + operation. And it reminds me that the + + operation is not an atomic operation, and that it might have caused other threads to make modifications to the other, although the same problem I found in "Think in Java" can be corroborated. One of the problems here is synchronized:

Writing concurrent code is more difficult, although the Java language provides a lot of synchronization and concurrency support, but ultimately it takes a person's diligence and expertise to write Java concurrency code without bugs. Java multithreaded concurrency best practices are a good set of practical ideas that help you quickly develop high quality concurren

"); }finally{Lock.unlock ();Try{Thread. Sleep ( -L); }Catch(Interruptedexception e) {//TODO auto-generated catch blockE.printstacktrace (); } } } }}Calling code:publicclass Test { publicstaticvoidmain(String[] args) { locknew ReentrantLock(); new Consumer(lock); new Producer(lock); new Thread(consumer).start(); new Thread( producer).start(); }}Usage Recommendations:In the case of small

immediately but may be satisfied at some point in the future, and these four forms are handled differently: the first is to throw an exception, and the second is to return a special value (null or false, depending on the operation), the third is to block the current thread indefinitely until the operation succeeds, and the fourth is to block only within the given maximum time limit before discarding. These methods are summarized in the following table: Throw except

the most recent value written to the volatile variable. This is not guaranteed in the case of invariant changes.This volatile keyword is guaranteed to work on 32-bit and 64 variables.Performance considerations FluctuateReading and writing volatile variables can cause variables to be read or written to the master memory. Reading and writing to main memory is more expensive than accessing the CPU cache. Accessing volatile variables can also prevent instructions from reordering, which is a normal

parallel. Different processes use different memory spaces, and threads share all of the resources owned by the parent process with other threads of the parent process. It's easy to program, but be more careful. Do not confuse the memory space with the stack memory, each with a separate stack memory to store the local data. Threads have their own stacks, their own program counters, and their own local variables, but do not own system resources. The scheduling and management of threads is done by

1 PrefaceThere are many ways to control multi-threaded synchronization, such as the addition of synchronous locking mechanism, but this will bring some performance consumption, because to queue mechanism, the previous period of time to see someone else's code has a class (Threadlocal2. Concept ThreadlocalView MSDN Explanation: to provide the thread local storage of data, in fact, it is easy to understand that a variable in multiple threads to implement multiple copies (copy), because the mechani

between thread and runnablethe same point of thread and Runnable : "Multithreading is the way to implement."different points of Thread and Runnable :Thread is a class, and runnable is an interface; the thread itself is the class that implements the Runnable interface. We know that "a class can have only one parent class, but it can implement multiple interfaces," So runnable has better extensibility.In addition, runnable can also be used for "resourc

is called for message dispatch.CLOSE_CB: Called when the Connection object is actively closed.BE_CLOSED_CB: Called when a peer close connection object is detected.Test_client.cpp primarily uses client objects to connect to a server, and the client constructs a callback function that is similar to the callback that is passed in when the server constructs. Copyright NOTICE: This article for Bo Master original article, without Bo Master permission not reproduced. Development of a network library s

this class. The line Chengcheng is the owner of the object lock: By executing a synchronous instance method of this object The body of the synchronized statement that is synchronized by executing on this object For objects of class type, you can do this by executing a synchronous static method of the class. Deadlock: A deadlock is when two or more threads are blocked indefinitely, and the threads wait for the required resources between t

as the strategy mode, if you need a new strategy, just implement the interface, add configuration, and do not need to change the core logic. A working example is the Collections.sort () method, which is based on the policy pattern, which follows the open and closed principle, you do not need to modify the sort () method for the new object, all you have to do is implement your own Comparator interface.79) When do I use the enjoy meta mode?The enjoy meta mode avoids creating too many objects by s

queue blockingqueue.DetailedConcurrentlinkedqueue uses a lock-free approach, so its performance is good in high concurrency.Blockingqueue uses the mode of producer consumer to lock. The concrete implementation of blocking has Arrayblockingqueue and linkedblockingqueuePersonal recommendation: If high concurrency is required, use Concurrentlinkedqueue. If you want to implement data sharing in multiple threads, use Blockingqueue.5, concurrent Dueue (dou