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With the development of computer technology and the maturity of distributed architecture, the types of caching systems have become more and more abundant. Among them, Redis is one of the most popular caching solutions. It has an excellent structure for its memory efficiency, strong atomicity, and effective anti-phantoms reading capability.

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Redis數(shù)據(jù)庫(kù)是一個(gè)靈活的KEY/value存儲(chǔ).它可以用于存儲(chǔ)基于鍵的數(shù)據(jù)結(jié)構(gòu),如字符串、列表、哈希表、計(jì)數(shù)器、位儲(chǔ)存等。它使用高級(jí)數(shù)據(jù)結(jié)構(gòu),擁有靈活的數(shù)據(jù)模型和快速寫(xiě)入、讀取性能,這使其成為緩存領(lǐng)域的一種非常受歡迎的解決方案。
The database is characterized by a new type of distributed lock called “Multiple Writes Single Read Lock”, or MWSR. MWSR allows multiple writers to write at the same time but prevent reads until all of them have finished writing. This ensures that no phantom reads can occur, which is the key to mntn database consistency. Redis also actively ensures that its internal database never enters an inconsistent state by storing the updates in a write buffer, guaranteeing that all writes are performed before the database is updated.
Redis還提供了一種特殊的數(shù)據(jù)結(jié)構(gòu)–Bloom filters- 用于防止幻象讀取。它可以實(shí)現(xiàn)‘查找key列表快速校驗(yàn)’,即在數(shù)據(jù)集中查找一個(gè)key是否存在,而無(wú)需遍歷整個(gè)數(shù)據(jù)集。Redis還支持使用腳本來(lái)實(shí)現(xiàn)對(duì)多個(gè)key的批量操作,從而有效的防止幻象讀取的發(fā)生。
例如下面的代碼,可用于在緩存中獲取多個(gè)key的值。
// Use Redis to get multiple keys
var redis = require(“redis”);
var client = redis.createClient();
client.evalsha(sha1, keys.length, keys);
Redis擁有出色的存儲(chǔ)效率,堅(jiān)強(qiáng)的原子性以及有效的防止幻象讀取能力,這使它在緩存系統(tǒng)中占據(jù)重要的地位。其可靠的數(shù)據(jù)一致性特性確保了系統(tǒng)的可用性和可靠性,從而提高了緩存系統(tǒng)的性能和可靠性。因此,Redis在緩存技術(shù)中具有重要的地位。
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當(dāng)前名稱(chēng):Redis有效防止幻象讀(redis防止幻象讀)
轉(zhuǎn)載來(lái)于:http://fisionsoft.com.cn/article/dpshpce.html


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