Redis has become the standard cache for Internet companies due to its excellent features of high performance and lightweight. Sometimes we want to add some custom commands, mainly in scenarios where Redis is heavily used. , like rush buying scenarios, it is necessary to ensure the transactionality of multiple Redis commands. If there is no good atomicity guarantee, data inconsistency problems may easily occur.
Although the official transaction plan is given, if it is necessary to make a judgment based on the return value of a certain command before proceeding to the next step, the transaction plan will not be able to cope with it.
Today we will use a practical case to describe how to add a Redis command. This command is mainly used in anti-swipe scenarios:
It is often necessary to ban a certain IP or a certain user for a period of time. If this command is not used, the solution is as follows:
First incr, and then determine whether it is 1. If it is 1, set the expiration time. It can be seen that if the first client that initiates the incr request hangs up during high concurrency, the key will not expire.
The command to be written today is used to ensure this transaction. The server side ensures that if the value of the key is 1, the expiration time is set.
The command usage is as follows:
incexpire key expireTime maxNum
key: the key to be processed
expireTime: expiration time, in seconds. If you write 10, it means that the key will expire in 10 seconds. ;
maxNum: Indicates the amount to which it will increase until it stops increasing. If it is set to 10, the maximum value returned is 11. Returning 11 means it has been exceeded;
2. Writing commands
1. Download the redis code
The Redis version used in this article is 3.2.11;
Download the code and cut to the 3.2.11 branch
git clone https://github.com/antirez/redis
2.Writing and adding Command code
1) Add a new command to the redisCommandTable structure in src/server.c
struct redisCommand redisCommandTable[] = {
redisCommandTable is an array, each item represents a redis command, and the first one represents a command The second one is the actual processing function, and the third one is the number of parameters. The others will not be discussed in detail.
2) Add a function declaration in src/server.h:
void incrExpireCommand(client *c);
3) Then add a file as ljh.c (name it yourself) and add the following code:
#include "server.h"
4) Add a new file ljh.o in src/Makefile
REDIS_SERVER_OBJ=adlist.o quicklist.o ae.o anet.o dict.o server.o sds.o zmalloc.o lzf_c.o lzf_d.o pqsort.o zipmap.o sha1.o ziplist.o release.o networking
The execution effect is as follows
You can see that after key1 is increased to 11 It no longer increases, and after 10 seconds, it becomes 1 again.
Finally, we still have to ask ourselves whether it is necessary to add Redis commands in our scenario. If necessary, we must grasp the responsibilities between each layer and do not let Redis end up processing business; generally It is said that the middleware layer generally handles more general functions. The lower layers should be more stable and the less changes are, the normal situation is.
For more related knowledge, please pay attention to redis introductory tutorialcolumn
The above is the detailed content of How to add redis command. For more information, please follow other related articles on the PHP Chinese website!

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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