Redis is actually a program written in C language. This program is used to store key-value data. The data is first placed in the memory and then written to the specified location on the disk.
Let’s sort out the two ways of Redis storage: RDB and AOF (Recommended learning: Redis video tutorial)
First One way: RDB (Redis DataBase)
RDB writes data to a temporary file. After persistence is completed, this temporary file is used to replace the last persisted file to achieve data recovery.
rdis database storage method is to store data in a xxx.rdb file. The data saved in the file is the memory data in redis. The default storage method is highly efficient, the access to the disk is reasonable, and the monitoring of memory data also has a certain threshold to ensure that data is not lost as much as possible.
redis.conf
# In the example below the behaviour will be to save: # after 900 sec (15 min) if at least 1 key changed # after 300 sec (5 min) if at least 10 keys changed # after 60 sec if at least 10000 keys changed # Note: you can disable saving completely by commenting out all "save" lines. # It is also possible to remove all the previously configured save # points by adding a save directive with a single empty string argument # like in the following example: # save "" # 持久数据的规则. RDB持久规则. 存储数据的文件由dbfilename参数决定 save 900 1 save 300 10 save 60 10000 # RDB持久数据的文件命名. 可以使用绝对路径配置,如果没有路径配置,在命令运行的相对位置开始寻址存在。 dbfilename dump.rdb
The second way: AOF (appendonly file)
AOF is to The executed instructions are recorded, and during data recovery, the instructions are executed again in order from front to back to achieve data recovery.
Among them, AOF is closed by default. To enable it, modify the configuration file redis.conf: appendonly yes
append of file storage method. The resource requirements for disk and IO are much higher than the RDB method. It has a great impact on the performance of the redis server. Aof and rdb can be opened at the same time, but when redis restarts, the data change log saved in aof will be read first. It is not recommended to enable them at the same time because the pressure on the disk and IO is too high. It is recommended to use rdb.
# 是否启用append of file持久化方式.默认关闭. # 每秒持久一次数据. 以追加的方式,持久到数据文件. appendonly no # aof持久方式的文件名称. appendfilename "appendonly.aof"
For more Redis-related technical articles, please visit the Redis Getting Started Tutorial column to learn!
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Compared with other databases, Redis has the following unique advantages: 1) extremely fast speed, and read and write operations are usually at the microsecond level; 2) supports rich data structures and operations; 3) flexible usage scenarios such as caches, counters and publish subscriptions. When choosing Redis or other databases, it depends on the specific needs and scenarios. Redis performs well in high-performance and low-latency applications.

Redis plays a key role in data storage and management, and has become the core of modern applications through its multiple data structures and persistence mechanisms. 1) Redis supports data structures such as strings, lists, collections, ordered collections and hash tables, and is suitable for cache and complex business logic. 2) Through two persistence methods, RDB and AOF, Redis ensures reliable storage and rapid recovery of data.

Redis is a NoSQL database suitable for efficient storage and access of large-scale data. 1.Redis is an open source memory data structure storage system that supports multiple data structures. 2. It provides extremely fast read and write speeds, suitable for caching, session management, etc. 3.Redis supports persistence and ensures data security through RDB and AOF. 4. Usage examples include basic key-value pair operations and advanced collection deduplication functions. 5. Common errors include connection problems, data type mismatch and memory overflow, so you need to pay attention to debugging. 6. Performance optimization suggestions include selecting the appropriate data structure and setting up memory elimination strategies.

The applications of Redis in the real world include: 1. As a cache system, accelerate database query, 2. To store the session data of web applications, 3. To implement real-time rankings, 4. To simplify message delivery as a message queue. Redis's versatility and high performance make it shine in these scenarios.

Redis stands out because of its high speed, versatility and rich data structure. 1) Redis supports data structures such as strings, lists, collections, hashs and ordered collections. 2) It stores data through memory and supports RDB and AOF persistence. 3) Starting from Redis 6.0, multi-threaded I/O operations have been introduced, which has improved performance in high concurrency scenarios.


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