Redis uses RDB and AOF to store data. RDB snapshots are generated quickly and take up little space, but they do not support incremental updates. AOF logs each command, supports incremental updates, but is slow and takes up a lot of space. It is generally recommended to use RDB and AOF to take into account both speed and data integrity.
Redis serialization
Redis is a memory-based data structure storage system that requires serializing data from memory to binary format for storage and transmission. Redis mainly adopts the following two serialization methods:
RDB method:
- Principle: RDB (Redis Database) method generates a binary snapshot file for the data of the entire Redis database at a certain point in time.
-
Features:
- Fast speed, the time to generate and load snapshot files is proportional to the amount of data.
- It takes up little space because the binary snapshot file only stores key-value pairs of data and does not contain other information.
- Incremental updates are not supported, and Redis cannot write operations during the process of generating snapshot files.
AOF method:
- Principle: AOF (Append Only File) method records every command executed by Redis into an append file.
-
Features:
- The speed is slow, and the time to load the file is proportional to the file size.
- It takes up a lot of space because the AOF file records all executed commands, including expired commands.
- Incremental updates are supported, Redis writes commands to AOF files while executing them.
- When Redis restarts, the command is re-executes the command from the AOF file to recover the data.
Select the serialization method:
The choice of serialization depends on the needs of the specific scenario:
- If you need to quickly recover data and do not have high requirements for data integrity, you can use RDB.
- If you need to ensure high data integrity and maximize data recovery even in the event of a failure, you can use the AOF method.
- Generally speaking, it is recommended to use both RDB and AOF to take into account both speed and data integrity.
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