List operation
//从list头部插入一个值。 $ret = $redis->lPush('city', 'guangzhou'); //从list尾部插入一个值。 $ret = $redis->rPush('city', 'guangzhou'); //获取列表指定区间中的元素。0表示列表第一个元素,-1表示最后一个元素,-2表示倒数第二个元素。 $ret = $redis->lrange('city', 0, -1);//查看队列所有元素 //将一个插入已存在的列表头部,列表不存在时操作无效。 $ret = $redis->lPushx('city', 'hangzhou'); //将一个或多个值插入已存在的列表尾部,列表不存在时操作无效。 $ret = $redis->rPushx('city', 'hangzhou'); //移除并返回列表的第一个元素,若key不存在或不是列表则返回false。 $ret = $redis->lPop('city'); //移除并返回列表的最后一个元素,若key不存在或不是列表则返回false。 $ret = $redis->rPop('city'); //移除并获取列表的第一个元素。如果列表没有元素则会阻塞列表直到等待超时或发现可弹出元素为止。 //参数:key,超时时间(单位:秒) //返回值:[0=>key,1=>value],超时返回[] $ret = $redis->blPop('city', 10); //移除并获取列表的最后一个元素。如果列表没有元素则会阻塞列表直到等待超时或发现可弹出元素为止。 //参数:key,超时时间(单位:秒) //返回值:[0=>key,1=>value],超时返回[] $ret = $redis->brPop('city', 10); //移除列表中最后一个元素,将其插入另一个列表头部,并返回这个元素。若源列表没有元素则返回false。 $ret = $redis->rpoplpush('city', 'city2'); //移除列表中最后一个元素,将其插入另一个列表头部,并返回这个元素。如果列表没有元素则会阻塞列表直到等待超时或发现可弹出元素为止。 //参数:源列表,目标列表,超时时间(单位:秒) //超时返回false $ret = $redis->brpoplpush('city', 'city2', 10); //返回列表长度。 $ret = $redis->lLen('city'); //通过索引获取列表中的元素。若索引超出列表范围则返回false。 $ret = $redis->lindex('city', 0); //通过索引设置列表中元素的值。若是索引超出范围,或对一个空列表进行lset操作,则返回false。 $ret = $redis->lSet('city', 2, 'changsha'); //在列表中指定元素前或后面插入元素。若指定元素不在列表中,或列表不存在时,不执行任何操作。 //参数:列表key,Redis::AFTER或Redis::BEFORE,基准元素,插入元素 //返回值:插入成功返回插入后列表元素个数,若基准元素不存在返回-1,若key不存在返回0,若key不是列表返回false。 $ret = $redis->lInsert('city', Redis::AFTER, 'changsha', 'nanjing'); //根据第三个参数count的值,移除列表中与参数value相等的元素。 //count > 0 : 从表头开始向表尾搜索,移除与value相等的元素,数量为count。 //count < 0 : 从表尾开始向表头搜索,移除与value相等的元素,数量为count的绝对值。 //count = 0 : 移除表中所有与value相等的值。 //返回实际删除元素个数 $ret = $redis->lrem('city', 'guangzhou', -2); //对一个列表进行修剪,只保留指定区间的元素,其他元素都删除。成功返回true。 $ret = $redis->ltrim('city', 1, 4);
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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.

Redis is a powerful database solution because it provides fast performance, rich data structures, high availability and scalability, persistence capabilities, and a wide range of ecosystem support. 1) Extremely fast performance: Redis's data is stored in memory and has extremely fast read and write speeds, suitable for high concurrency and low latency applications. 2) Rich data structure: supports multiple data types, such as lists, collections, etc., which are suitable for a variety of scenarios. 3) High availability and scalability: supports master-slave replication and cluster mode to achieve high availability and horizontal scalability. 4) Persistence and data security: Data persistence is achieved through RDB and AOF to ensure data integrity and reliability. 5) Wide ecosystem and community support: with a huge ecosystem and active community,

Key features of Redis include speed, flexibility and rich data structure support. 1) Speed: Redis is an in-memory database, and read and write operations are almost instantaneous, suitable for cache and session management. 2) Flexibility: Supports multiple data structures, such as strings, lists, collections, etc., which are suitable for complex data processing. 3) Data structure support: provides strings, lists, collections, hash tables, etc., which are suitable for different business needs.

The core function of Redis is a high-performance in-memory data storage and processing system. 1) High-speed data access: Redis stores data in memory and provides microsecond-level read and write speed. 2) Rich data structure: supports strings, lists, collections, etc., and adapts to a variety of application scenarios. 3) Persistence: Persist data to disk through RDB and AOF. 4) Publish subscription: Can be used in message queues or real-time communication systems.

Redis supports a variety of data structures, including: 1. String, suitable for storing single-value data; 2. List, suitable for queues and stacks; 3. Set, used for storing non-duplicate data; 4. Ordered Set, suitable for ranking lists and priority queues; 5. Hash table, suitable for storing object or structured data.

Redis counter is a mechanism that uses Redis key-value pair storage to implement counting operations, including the following steps: creating counter keys, increasing counts, decreasing counts, resetting counts, and obtaining counts. The advantages of Redis counters include fast speed, high concurrency, durability and simplicity and ease of use. It can be used in scenarios such as user access counting, real-time metric tracking, game scores and rankings, and order processing counting.

Use the Redis command line tool (redis-cli) to manage and operate Redis through the following steps: Connect to the server, specify the address and port. Send commands to the server using the command name and parameters. Use the HELP command to view help information for a specific command. Use the QUIT command to exit the command line tool.


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