php Redis method to delete keys: First use the scan command to iterate incrementally to traverse the keys prefixed with [XX]; then delete the specified key through the unlink function.
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php redis batch delete key
Summary
Use the scan command to iterate incrementally to traverse the keys prefixed by XX, and then delete them
Introduction
In actual development, some useless data will be mixed into redis accidentally. For example, a certain elder forgets to add cache time, or needs to add cache time due to business modifications. The data structure list is changed to zset, and the previous cache is useless, but the expiration time is a bit long. At this time, the keys need to be deleted in batches. If you use the keys command to traverse the keys that meet the conditions, it will block other operations of redis, which is definitely not possible in a production environment, so the scan command is used as a killer.
Code
/** 在redis集群中,scan命令需要指定节点。还需要注意,要连接主节点。 **/ $redis = new \Redis(); $timeout = 2.5; $ip = '127.0.0.1'; $redisConfArr = [ [$ip, 8001], [$ip, 8002], [$ip, 8003] ]; foreach ($redisConfArr as $redisConf) { $redis->pconnect($redisConf[0], $redisConf[1], $timeout); //默认SCAN_NORETRY情况下有可能会返回空数组,设置成SCAN_RETRY,如果是空数组的话,将不返回继续扫描下去 $redis->setOption(\Redis::OPT_SCAN, \Redis::SCAN_RETRY); $it = NULL; while ($arr_keys = $redis->scan($it, CacheKeyConfig::CachePre.'*')) { if (is_array($arr_keys)) { //推荐使用unlink函数,非阻塞删除,删除大key时很好用,但是它需要redis版本>=4.0 $result = $redis->del($arr_keys); echo $result . PHP_EOL; } } echo "OK!" . PHP_EOL; }
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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.

Use of zset in Redis cluster: zset is an ordered collection that associates elements with scores. Sharding strategy: a. Hash sharding: Distribute the hash value according to the zset key. b. Range sharding: divide into ranges according to element scores, and assign each range to different nodes. Read and write operations: a. Read operations: If the zset key belongs to the shard of the current node, it will be processed locally; otherwise, it will be routed to the corresponding shard. b. Write operation: Always routed to shards holding the zset key.


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