redis distributed lock

[Switch] MySQL optimistic lock practices in Distributed scenarios, mysql scenariosBackground In the E-commerce shopping scenario, when we click shopping, the backend service will perform inventory reduction for the corresponding products. When a single instance is deployed, we can simply use the lock mechanism provided by JVM to

BackgroundIn the case of e-commerce shopping, when we click on the shopping, the backend service will reduce the inventory operation of the corresponding goods. In the case of single-instance deployments, we can simply use the lock mechanism provided by the JVM to lock down inventory operations and prevent multiple users from clicking on the inventory inconsistency caused by the purchase.In practice, howeve

Using Zookeeper ephemeral_sequential type node and watcher mechanism, the distributed lock is implemented simply. Main ideas: 1, open 10 threads, under the Dislocks node respectively create a ephemeral_sequential node named Sub, 2, get all sub-nodes under the Dislocks node, sort, if their own node number is the smallest, then get the lock; 3. Otherwise watch queu

Preface: Crawler is a task of partial IO type, the implementation of distributed crawler is much simpler than distributed computing and distributed storage.One of the most important points that a distributed reptile needs to consider is the following: the unification of the reptile task's unified dispatch reptile task

The newly developed system needs to control the GC thread that recycles the cache at every moment and only one is running, which can cause the system to crash if there are multiple threads running concurrently. If only one JVM process is so good, simply use the Synchronized keyword. But my system is going to be deployed on multiple servers, on each server, on more than one instance. And synchronized is only useful in a single process. Consider using the shared data source

*com.heli.core.pay.soaservice.impl.*.* (..)) ") NBSP;NBSP;NBSP;NBSP;PUBLICNBSP;OBJECTNBSP;SERVICEAOP (Proceedingjoinpointpoint) { objectproceed=null; NBsp;jedisjedis=jedispool.getresource (); calendarcalendar=calendar.getinstance (); calendar.set (calendar.millisecond,0);date Calendartime=calendar.gettime (); longtime =calendartime.gettime (); //request parameter Array object[]args=point.getargs (); //key can be customized Stringkey= jedislock.cachename.add_bean_after_check_lock_key+ ":" +args[

first, write in front:In the entire supply chain system, there will be many kinds of documents (purchase orders, warehousing orders, delivery orders, waybill and so on, in connection with the writing of the document data interface (increase the deletion operation), even if the front-end to do the relevant restrictions, or because of the network or abnormal operation caused by concurrent repeated calls, resulting in the same document to do the same treatment; To prevent this from causing an abnor

created) and enter the wait.For an unlock operation, you only need to delete the node you created.Features: Using temporary sequential nodes to implement distributed lock mechanism is actually a kind of implementation that queues in order of creation. This scheme is efficient and avoids the "surprise swarm" effect, where multiple clients wait for a lock and only

architecture, distributed, log queue, the title itself is looking at bluffing, in fact, is a log collection function, but in the middle of a redis to do Message Queuing.Why does the preface need Message Queuing?When there are inconsistencies in the speed or stability of "production" and "consumption" in the system, Message Queuing is required as an abstraction layer to bridge the differences between the two