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The delayqueue is an unbounded blocking queue that extracts elements only when the delay expires. The head of the queue is the delayed element with the longest save time after the delay expires.
Delayqueue blocking queue is also often used in our system development, for example: the design of the cache system, the object in the cache, more than the idle time, ne
From the art of Java concurrency programming
What is a blocking queueThe blocking queue (Blockingqueue) is a queue that supports two additional operations. Both of these additional operations support blocking insertion and removal methods.
Blocking insertion method: means that when the queue is full, the
above issues: distributed Locks and task queues .
Second, the realization of ideas
1.Redis realization of distributed lock idea
The idea is very simple, the main use of the Redis function is setnx (), this should be the implementation of distributed locks the most important function. The first is to save a task identification name (here with Lock:order as an example of an identifier) as a key to the Redis, and set an expiration date, if there is
baked, it is necessary to place the muffin in the Delayqueue for the recommended baking time. Listing 4, taken from the Delayqueueusageexample class, shows Enqueue and dequeue muffin objects from Delayqueue.As you can see, the baking time for the muffin object is set using its constructor (the constructor expects the baking time to be in seconds).As mentioned before, the Muffin object is not allowed to be taken out of the delayqueue until his delay time (also called baking time) is extended. Th
take an element out of the queue, and if not, return nullBlocking: When the blocked queue is full, if the producer threads put elements into the queue, the queue blocks the producer thread until it gets the data, or the response breaks out. When the queue is empty, the cons
This article mainly introduces the blocking queue container in Java thread programming, and introduces some basic methods for implementing blocking queues in JDK. For more information, see
1. What is a blocking queue?
BlockingQueue is a queue that supports two additional operations. The two additional operations are a
returns null if this queue is empty.5) Object poll (): Gets the element of the queue header, deletes the element, and returns null if this queue is empty.6) Object Remove (): Gets the element of the queue header and deletes the element.The queue interface has a Priorityqueu
Java custom Queue and Application Based on Arrays
Java custom Queue:
The abstract data type of the queue is a container. The objects in the queue are arranged in a sequence. We can only access and retrieve the objects at the fron
Transferred from:
Http://www.cnblogs.com/cppguru/archive/2009/11/19/1605970.html
Brief analysis of the implementation principle of Ogre rendering Queue (1)
Rendering queue is an important concept in Ogre. All objects in the scenario are put into a specific rendering queue by Ogre before being drawn. The rendering
description of the queue
A queue is a basic data structure. We usually wait in line waiting for service, is the first person to accept the service first. For the data structure of the queue, it is a strategy of FIFO (First-int, first-out, FIFO).
There are only two--push and pops that change the way elements in the queue
locate any element in the heap also allows us to add a delete () operation to the API.Proposition Q (cont.). In an index-priority queue of size n, the number of comparisons required to insert an element (insert), change the priority (changes), delete, and delete the maximum small element (remove the minimum) is proportional to the logn (such as the following table)Prove. It is easy to get this conclusion from the code that it is known that all paths
deletes the element, or null if this queue is empty.
Object Remove (); Gets the element of the queue header and deletes the element.
The queue has two commonly used implementation classes :LinkedList and Priorityqueue, each of which describes the two implementation
//single-linked list implementation for queues//head node: Sentinel function, where data is not stored, which is used to initialize the queue so that the tail of the team head is pointed.//First node : node after head node, storing data#include#includemalloc.h>#includetypedefintElementype;//Defining data Types//Defining the node structuretypedefstructNode {elementype Element; //data fields structNode *Ne
, it is necessary to place the muffin in the Delayqueue for the recommended baking time. Listing 4, taken from the Delayqueueusageexample class, shows Enqueue and dequeue muffin objects from Delayqueue.As you can see, the baking time for the muffin object is set using its constructor (the constructor expects the baking time to be in seconds).As mentioned before, the Muffin object is not allowed to be taken out of the delayqueue until his delay time (also called baking time) is extended. The elem
returned.Object Remove (): Gets the element of the queue header and deletes the element.The queue interface has a Priorityqueue implementation class. In addition, the queue also has a deque interface, deque represents a "double-ended queue", the double-ended
returned.Object Remove (): Gets the element of the queue header and deletes the element.The queue interface has a Priorityqueue implementation class. In addition, the queue also has a deque interface, deque represents a "double-ended queue", the double-ended
}
For the second class of methods, a very standard way to use Reentrantlock (unfamiliar friends to see my last Post http://hellosure.iteye.com/blog/1121157), In addition, there is nothing to say about the implementation of insert and extract.Note: without looking at blocking or not, the use of this reentrantlock means that the class is thread-safe .Java code
Publicbooleanoffer (e-e) {
The Michael-scott non-blocking queue algorithm, the Ms-queue algorithm, is 1 9 9 6 years by Maged. M. Michael and M. Scott proposed the most classical algorithms on the concurrent FIFO queue, and much of the current research on concurrent FIFO queues is based on this algorithm. On multi-core processors with shared memory, this compare-and-swap (CAS)-based algorit
facilitate implementation, our cyclic queue will have a free location, and the front pointer in m_front will always point to a location where the element value is null, therefore (m_front + 1) % capacity points to the first element of the team, while m_rear (rear in the figure) points to a actually existing team end element;
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