Running Redis with Docker without installing it on the host, it can be quickly started through the dockerrun command; it can customize configuration files and mount them to implement memory policies and other settings; it can persist data by naming volume redis-data; it is recommended to use DockerCompose to facilitate the deployment and maintenance of the development environment.

First add SpringDataRedis dependencies, then set Redis connection information in the configuration file, then enable cache through @EnableCaching and use cache annotations, and finally operate data through RedisTemplate or StringRedisTemplate to realize cache, session storage or high-speed data access.

UseFLUSHDBtoclearthecurrentdatabaseorFLUSHALLforalldatabases;bothsupportASYNC(background)orSYNC(blocking)modes,withASYNCpreferredinproductiontoavoidlatency.

Installing Redis can be done through APT or source code, and APT is simpler; 2. Update the package index and install redis-server; 3. Start and enable the power-on self-start; 4. Use redis-cliping to test PONG; 5. Optional configuration files to adjust bindings, passwords, etc.; 6. Restart the service and complete the installation.

HyperLogLog provides a memory efficient and fast unique count estimation method in Redis via PFADD and PFCOUNT commands. 1. HyperLogLog is a probability algorithm used to estimate the number of different elements in the dataset. It only requires a small amount of fixed memory to process large-scale datasets. It is suitable for tracking independent visitors or high-frequency search queries and other scenarios; 2. PFADD is used to add elements to HyperLogLog, and PFCOUNT returns the unique element estimate value in one or more structures; 3. Using meaningful key names, directly adding string values, and merging multiple HLLs to avoid repeated calculations are the best practices for using PFADD and PFCOUNT; 4. HyperLo

Redis transactions are implemented through commands such as MULTI, EXEC, WATCH, etc., providing command sequential execution and isolation. 1. Use MULTI to start the transaction, and EXEC commit, and all commands will be executed atomically; 2. If you use the WATCH monitoring key before EXEC, once the key is modified by other clients, the transaction will be aborted and retry; 3. The transaction does not support rollback, syntax errors cause EXEC to fail, and runtime errors will only affect a single command; 4. It is recommended to use Lua scripts for complex atomic operations. For example, when updating the balance, use WATCH to ensure the data is consistent. If EXEC returns nil, try again.

Serialized storage of JSON using strings is suitable for simple reading and writing. The RedisJSON module supports field-level operations to improve efficiency. The hash type is suitable for frequent update scenarios of flat structures. The selection is based on data access mode.

SETstoresakey-valuepair,optionallywithexpiryorexistenceconditions;2.GETretrievesthevaluebykey,returningnilifnonexistent;3.EXISTScheckskeypresence,returning1or0;4.DELremovesthekey.