redis distributed cache

first, and then the data that is not used recently.Data obsolescence Internal implementationLazy elimination Mechanism: each time the cache into the data, there will be a period, in the read time and set the time to do a TTL comparison to determine whether the expirationDistributed cluster ImplementationThere is no "distributed" function on the server side. Each server is a fully independent and isolated s

suitable as a storage instead of a cache-Data consistency: memcached provides CAS commands to guarantee. And Redis provides the functionality of a transaction that guarantees the atomicity of a sequence of commands, which is not interrupted by any action.Redis Data Types Redis has 5 types of data: string (String), hash (hash table), list (linked list), set (set

MessageDelegateListener { @Override publicvoidhandleLog(Serializable message) { ifnull){ System.out.println("null"); }else { //处理日志数据 } }}Qa "Question one" why use Redis?In fact, there are already some instructions, although there are many stable products, such as may be thought of Kafka, RABBITMQ and ROCKETMQ. However, because the project itself uses

redis.windows.conf//UnloadSummary and Pits:1. Learn about the basic configuration of Redis (https://www.cnblogs.com/qq78292959/archive/2013/09/21/3331032.html)2, the entire configuration process note two servers interoperability3, configuration files such as add slaveof 10.55.8.110 6379 need to remove the space in front of the slaveofOr Redis won't recognize it.4, password verification to note, otherwise i

Build a distributed architecture with windows + nginx + iis + redis + Task. MainForm (nginx + iis build service cluster), nginxredis This article is about using windows + nginx + iis + redis + Task. mainForm builds a distributed architecture, and the title shows that this content is not completed by a sharing article.

Memories of database optimization and Memacache distributed cache, memacache Cache Horizontal database sharding1. Store database files on different disks to make full use of disk ioTable Partitioning1. Table databases can be partitioned.Partition by datePartition by conditionActive partitioning1. Place historical data in the History TableThe current table only

Two problems must be solved when Redis is used as the Mysql database cache. First, determine the data structure used to store data from Mysql. After determining the data structure, consider the identifier used as the key of the data structure. Intuitively, data in Mysql is stored by table. In a more microscopic view, these tables are stored by row. Each execution of selec Two problems must be solved when

Distributed cache can solve the bottleneck that the memory of single server cannot expand indefinitely. In distributed cache applications, you encounter multiple client contention issues. At this time, a distributed lock is required, and the client with the lock has permissi

the speed of all applications dependent on it. In addition, data cannot be shared in real time and effectively. Real-time data sharing requires that once an application updates data, all other applications interested in the data should receive a notification immediately. Similarly, some applications may be waiting for some data types to be created and available. Once these operations occur, these applications should be notified immediately. Whether the applications that need to share data a

unexpected requests to the system caused by excessive pressure system paralysis. The usual strategy is to deny redundant access, or to queue up redundant access for services.Distributed current limitingSingle-machine current limit, can be used AtomicInteger , RateLimiter and Semaphore these. However, in the distributed, it cannot be used. Commonly used distributed current limit Nginx , but it belongs to th

types than memcached, Redis supports list, Set, SortedSet, HashMap and many other data structures;9. Persistence, memcached does not have a corresponding persistence mechanism, and Redis has an RDB snapshot and aof log two forms of the combination of persistence, to a large extent to ensure data persistence and security, not like memcached after the power outage. three, memcache and

briefly summarized: first, sorting increases the load on the database and is difficult to support highly concurrent applications. Second, sorting in the cache will not encounter the problem of table locking. Redis just provides the sorting function, so that we can conveniently sort the cache. In Redis, the SORT comman

execute the appropriate SQL statement, query the corresponding result set in MySQL, and then follow the above method to store each row in the result set as a string or hash into Redis. The code for finding the corresponding result set in Redis is as follows:The function queries the corresponding result set in Redis based on the SQL statement and returns the key