Differences
1. Redis is a storage database. Memcache can also cache photos.
Redis and Memcache store data in memory and are memory databases. However, Memcache can also cache other things like photos and videos. Redis not only supports simple k/v type data, but also provides storage of data structures such as list, set, and hash.
Expiration strategy, memcache is specified when setting. For example, setkey1008 never expires. redis can be set via expire. For example, expirename10.
Storage security, after memcache is closed, the redis data that disappears can be saved in the disk regularly
Disaster recovery, after the memcache hangs up, the redis data that cannot be recovered can be restored through aof.
Redis supports data backup, that is, data backup in master-slave mode.
Different application scenarios:
2. Redis can create nosql database, news queue, etc. Memcache can also cache SQL statements.
Redis can not only make nosql database, but also news queue, data stack, data cache, etc. Memcache is suitable for caching SQL statements, data sets, user temporary data, delayed query data, sessions, etc.
Example
Connecting to Redis service
<?php $redis = new redis(); //生成redis类的对象,生成之后可以用这个类里面的方法 $redis->connect('127.0.0.1',6379); //连接redis的ip地址端口号 $redis->set('redistest','666666'); // 给redistest赋值为666666 echo $redis->get('redistest'); //获取redistest的值 ?>
Usage of Memcached
<?php $memcache = new Memcache; $memcache->connect("127.0.0.1",11211) or die("Memcached connected failed"); echo "Memcached's version: " . $memcache->getVersion() . "<br />"; $data = array( 'url' => "http://www.cnblogs.com/wujuntian/", 'name' => "编程人,在天涯" ); $memcache -> set("info",$data,0,10); $info = $memcache->get("info"); echo '<pre class="brush:php;toolbar:false">'; print_r($info); ?>
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Redis plays a key role in data storage and management, and has become the core of modern applications through its multiple data structures and persistence mechanisms. 1) Redis supports data structures such as strings, lists, collections, ordered collections and hash tables, and is suitable for cache and complex business logic. 2) Through two persistence methods, RDB and AOF, Redis ensures reliable storage and rapid recovery of data.

Redis is a NoSQL database suitable for efficient storage and access of large-scale data. 1.Redis is an open source memory data structure storage system that supports multiple data structures. 2. It provides extremely fast read and write speeds, suitable for caching, session management, etc. 3.Redis supports persistence and ensures data security through RDB and AOF. 4. Usage examples include basic key-value pair operations and advanced collection deduplication functions. 5. Common errors include connection problems, data type mismatch and memory overflow, so you need to pay attention to debugging. 6. Performance optimization suggestions include selecting the appropriate data structure and setting up memory elimination strategies.

The applications of Redis in the real world include: 1. As a cache system, accelerate database query, 2. To store the session data of web applications, 3. To implement real-time rankings, 4. To simplify message delivery as a message queue. Redis's versatility and high performance make it shine in these scenarios.

Redis stands out because of its high speed, versatility and rich data structure. 1) Redis supports data structures such as strings, lists, collections, hashs and ordered collections. 2) It stores data through memory and supports RDB and AOF persistence. 3) Starting from Redis 6.0, multi-threaded I/O operations have been introduced, which has improved performance in high concurrency scenarios.

RedisisclassifiedasaNoSQLdatabasebecauseitusesakey-valuedatamodelinsteadofthetraditionalrelationaldatabasemodel.Itoffersspeedandflexibility,makingitidealforreal-timeapplicationsandcaching,butitmaynotbesuitableforscenariosrequiringstrictdataintegrityo

Redis improves application performance and scalability by caching data, implementing distributed locking and data persistence. 1) Cache data: Use Redis to cache frequently accessed data to improve data access speed. 2) Distributed lock: Use Redis to implement distributed locks to ensure the security of operation in a distributed environment. 3) Data persistence: Ensure data security through RDB and AOF mechanisms to prevent data loss.

Redis's data model and structure include five main types: 1. String: used to store text or binary data, and supports atomic operations. 2. List: Ordered elements collection, suitable for queues and stacks. 3. Set: Unordered unique elements set, supporting set operation. 4. Ordered Set (SortedSet): A unique set of elements with scores, suitable for rankings. 5. Hash table (Hash): a collection of key-value pairs, suitable for storing objects.

Redis's database methods include in-memory databases and key-value storage. 1) Redis stores data in memory, and reads and writes fast. 2) It uses key-value pairs to store data, supports complex data structures such as lists, collections, hash tables and ordered collections, suitable for caches and NoSQL databases.


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