How to use Redis to achieve data persistence
Introduction
Redis is a fast and efficient in-memory database, but by default its data is stored in in memory. This means that once the server is powered off or restarted, the data in Redis will be lost. In order to solve this problem, Redis provides some mechanisms to achieve data persistence. This article will introduce how to use Redis to achieve data persistence and give specific code examples.
- RDB persistence
RDB persistence is the default data persistence method of Redis. It achieves data persistence by dumping Redis data to a binary file (.rdb file) on the hard disk. You can trigger the save operation manually or set it to trigger the save automatically.
The following is a code example for manually triggering save:
SAVE
The following is a code example for setting automatic trigger save:
CONFIG SET save "60 1000"
The above code means that within 60 seconds, If 1000 keys have been modified, the SAVE command is automatically executed.
- AOF persistence
In addition to RDB persistence, Redis also provides AOF (Append-Only File) persistence. AOF persistence appends each write operation command to the Redis server to the end of a file (AOF file). When Redis restarts, the commands in the AOF file will be re-executed to restore the data.
The following is a code example to enable AOF persistence:
CONFIG SET appendonly yes
- Hybrid persistence
Redis also supports hybrid persistence, that is, using RDB persistence and AOF at the same time Persistence. This approach can take advantage of the advantages of both persistence methods while reducing their disadvantages.
The following is a code example to enable hybrid persistence:
CONFIG SET appendonly yes CONFIG SET save "60 1000"
The above code enables AOF persistence and sets the RDB auto-save rule to 1000 keys modified within 60 seconds.
- Persistence Strategy
When using Redis for data persistence, you also need to consider some persistence strategies to better control the saving and recovery of data.
The following are some common persistence strategy code examples:
-
Execute the SAVE command every 5 seconds:
CONFIG SET save "5 1"
-
Execute the BGSAVE command for each write operation to Redis and save the data to the disk:
CONFIG SET appendfsync always
-
Execute the BGSAVE command once per second to save the data to the disk:
CONFIG SET appendfsync everysec
-
Execute the BGSAVE command for every 1MB write command to save the data to disk:
CONFIG SET appendfsync always CONFIG SET appendonly yes CONFIG SET auto-aof-rewrite-min-size 1mb CONFIG SET auto-aof-rewrite-percentage 100
Conclusion
Redis provides a variety of data For persistence methods, you can choose the appropriate method according to specific needs. This article introduces Redis's RDB persistence, AOF persistence, hybrid persistence and some persistence strategies, and gives corresponding code examples. By rationally using the persistence mechanism of Redis, the persistence and reliability of data can be guaranteed.
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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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