Example analysis of common operation commands for getting started with Redis
Redis Basics
As an open source (BSD licensed) in-memory data structure storage system, Redis can be used as a database, cache and message middleware. It supports many types of data structures, such as strings, hashes, lists, sets, sorted sets and range queries, bitmaps, hyperloglogs and geospatial ( geospatial) index radius query.
Redis has built-in replication, LUA scripting, LRU eviction, transactions and different levels of disk persistence, and through Redis Sentinel ) and automatic partitioning (Cluster) provide high availability.
1. Redis is single-threaded
Redis is based on memory operation. CPU is not the performance bottleneck of redis. Its bottleneck depends on the machine’s memory and network bandwidth, so single-threading can be used. To implement it, just use a single thread.
So why is it so fast with a single thread?
First of all, there are two misunderstandings that need to be clarified:
High-performance servers are not necessarily multi-threaded.
Multi-threading is not necessarily more efficient than single-threading.
Redis puts all the data into the memory. If there are multiple threads, there will be CPU switching context, which increases the time consumption. For the memory system, there is no context switching. Single-threaded operation efficiency is the highest.
2. Common operations on databases
1. Default database
Redis has 16 databases by default, and the default use is the first database (subscript 0). You can check the configuration file, which contains database 16
.
2. Switch database
select 3
to switch to the fourth database.
#3. Check the database size
dbsize
You can check the current database size.
At this time, set a value in the database and check the database size again, and it will change.
4. Clear the database
Clear the current database
flushdb
Clear all databases
flushall
3. About Common operations of Redis-Key
1. set set key and value
set name pingguo222
2. keys * View all keys
You can view all keys. Switch back to the default database here and view all keys.
keys *
3. get the value of key
get name
4. exists key Whether key exists
exists name
If it exists, it returns 1, if it does not exist, it returns 0.
5. move move key
The MOVE command moves the key of the current database to the given database db.
move name 0
For example, assuming you are currently in database 3, you want to execute a command to move the content named "name" to database 0. Returns 1 if successful, 0 if failed.
6. Set the key expiration time
I set the age to expire after 10s. If I get it again after 10s, I will not get the value.
expire age 10
7. Check the remaining time of the key
I set the name expiration time to 100s and use ttl to check it.
ttl name
8. Check the key type
type name
There are actually many commands, and the redis official website provides query commands If you don't know what's going on later, just check it out.
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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.

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


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