php Connect to redis
$redis = new Redis(); $redis->connect('127.0.0.1', 6379); echo "Connection to server successfully"; //查看服务是否运行 echo "Server is running: " . $redis->ping();
1. Set key / value Check whether key exists Delete key Modify key
$redis->set('db',"redis"); // 设置键值 $redis->set('db',"redis1111"); // 覆盖旧的键值 $c = $redis->exists('db'); // 检查键值是否存在, 返回的是 1 。不错在返回的是0 $redis->del('db');// 删除键值 $a = $redis->get('db');//删除键值之后返回的 false
2. Set expiration time by seconds/set specific expiration time/remove Expiration time/Check how much time is left to expire
$redis->set('db',"redis"); // 设置键值 $redis->expire('db',10); # 设置1秒后过期 $time = time(); $redis->set('cache','www.google.com'); $redis->expireat('cache',$time); # 设置具体的日期时间 10 位时间戳 $redis->persist('cache'); // 移除该键值的过期的时间 $redis->ttl('cache');// 检查该键值还剩余多少时间才过期, 没有过期时间的话 返回 -1 有过期时间返回 数字 单位 秒 $redis->pttl('cache');// 以毫秒为单位返回
3. Find out the qualified keys values in redis/Get all keys
$redis->set('db',"redis"); // 设置键值 $redis->set('cache','www.google.com');// 设置键值 $redis->set('ad','www.google.com');// 设置键值 $redis->set('adb','www.google.com');// 设置键值 $a = $redis->keys('*d*'); // 类似于sql 的like。 在这里可以是 *d*,*d,d* $allKeys = $redis->keys('*'); // 获取所有的key
4. Migration of key values, From a Database migration to another database,If it already exists, the migration will not be successful
$redis->select(0); // 选择数据redis 数据库 0 $redis->set('db2','test1');//设置键值对 $redis->move('db2',1); // 将数据0 的键值 db1 迁移到 数据库 1 中 $b = $redis->get('db2'); $redis->select(1); // 链接数据库 1 $a = $redis->get('db1'); // 获取数据库 1 里的 键值对的值, 这个时候是获取的到的, //如果数据库1 已经存在了键值,那么会迁移失败,遵循 原子性, 保持原先的状态
5. Randomly return the value of a key/modify the name of the key (rename and renamex are similar, renamex An error will be reported when modifying a non-existent key)
$redis->set('a',"1886..."); $redis->set('b',"2886..."); $redis->set('c',"3886..."); $redis->set('d',"4886..."); $redis->rename('a','aacd'); // 将 key a 修改成 aacd , key a 则不存在了 $c = $redis->get('a'); $d = $redis->get('aacd'); $b = $redis->randomkey(); // 随机返回一个 key
6. Determine the type of value corresponding to the key
//none(key不存在) int(0) //string(字符串) int(1) //list(列表) int(3) //set(集合) int(2) //zset(有序集) int(4) //hash(哈希表) int(5) $redis->set('a','adasdasdasdasdd'); $a = $redis->TYPE('a'); // 返回的是 1 数字 , 自己要核对上面的注释,才可以知道是哪个类型
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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.

Redis cluster mode deploys Redis instances to multiple servers through sharding, improving scalability and availability. The construction steps are as follows: Create odd Redis instances with different ports; Create 3 sentinel instances, monitor Redis instances and failover; configure sentinel configuration files, add monitoring Redis instance information and failover settings; configure Redis instance configuration files, enable cluster mode and specify the cluster information file path; create nodes.conf file, containing information of each Redis instance; start the cluster, execute the create command to create a cluster and specify the number of replicas; log in to the cluster to execute the CLUSTER INFO command to verify the cluster status; make

To read a queue from Redis, you need to get the queue name, read the elements using the LPOP command, and process the empty queue. The specific steps are as follows: Get the queue name: name it with the prefix of "queue:" such as "queue:my-queue". Use the LPOP command: Eject the element from the head of the queue and return its value, such as LPOP queue:my-queue. Processing empty queues: If the queue is empty, LPOP returns nil, and you can check whether the queue exists before reading the element.


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