Redis is a high-performance key-value database. The emergence of redis has largely compensated for the shortcomings of keyvalue storage such as memcached, and can play a very good supplementary role to relational databases in some situations.

1. Install Redis
Redis configuration file:/etc/redis.conf
Redis main program:/usr/bin/ redis-server
Client tool:/usr/bin/redis-cli
Default listening port: 6379
Data directory:/var/lib/redis
Service script:/usr/lib/systemd/system/redis.service
yum install redis # 基于CentOS7的epel源
2. Connect to Redis
The client command tool of Redis is redis-cli, which connects to the local one by default Redis service.
If you need remote connection, use redis-cli -h HOST -p PORT -a PASSWD
[root@cache1 ~]# redis-cli127.0.0.1:6379> ping # 使用ping命令测试与服务的连接性PONG # 服务端回复pong则说明网络连接没有问题
3. Redis data type
String (string)
String is the most basic type of redis. You can understand it as the same type as Memcached. One key corresponds to one value.
The string type is binary safe. This means that the redis string can contain any data. For example, jpg images or serialized objects.
The string type is the most basic data type of Redis, and a key can store up to 512MB.
Hash (Hash)
Redis hash is a collection of key-value (key=>value) pairs.
Redis hash is a mapping table of string type fields and values. Hash is particularly suitable for storing objects.
List (List)
Redis list is a simple list of strings, sorted in insertion order. You can add an element to the head (left) or tail (right) of the list.
Set (set)
Redis’ Set is an unordered collection of string type.
Sets are implemented through hash tables, so the complexity of adding, deleting, and searching is O(1).
zset (sorted set: ordered set)
Redis zset, like set, is also a collection of string type elements, and duplicate members are not allowed.
The difference is that each element is associated with a double type score. Redis uses scores to sort the members of the collection from small to large.
The members of zset are unique, but the scores can be repeated.
4. Get help
help @ + 双击tab # 双击tab会出现各种子命令的帮助help @string # 字符串相关的配置help @list # 列表相关的配置;列表类似于数组help @sethelp @hash......
5. List-related commands
The other data types are relatively simple, and you can get the usage of the commands through help. The easiest way is Baidu. In order to better understand some operations, we will explain the most commonly used commands related to List separately, because it may not be easy to understand just by looking at the help
Example:
127.0.0.1:6379> LPUSH stu aubin # LPUSH,向列表左侧添加元素,列表不存在自动创建(integer) 1 127.0.0.1:6379> RPUSH stu 22 # RPUSH,向列表右侧添加元素,列表不存在则自动创建(integer) 2 127.0.0.1:6379> RPUSHX stu nan # RPUSHX,如果列表存在则右侧添加元素(integer) 3 127.0.0.1:6379> LPUSHX stu linux # LPUSHX,如果列表存在则左侧添加元素(integer) 4 127.0.0.1:6379> LRANGE stu 0 10 # LRANGE,显示名为stu的列表的0-10个值1) "aubin"2) "22"3) "nan"4) "linux"LPOP stu # 左弹,删除名为stu列表中的第一个元素RPOP stu # 右弹,删除名为stu列表中的最后一个元素LREM stu 3 aubin # 从头到尾删除3个值为aubin的元素LREM stu -3 aubin # 从尾到头删除3个值为aubin的元素LREM stu 0 aubin # 删除所有值为aubin的元素
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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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