If you have a knowledge background in relational databases, you will discover the fact that while the transaction is running, although the Redis command may fail to execute, Redis will still execute the remainder of the transaction. other commands without performing the rollback operation, you may find this behavior strange.
However, this behavior also has its reasonableness:
Only when the called Redis command has a syntax error, this command will fail to execute (in Redis is able to detect such problems while placing this command in the transaction queue), or perform an operation on a key that does not conform to its data type: in practice, this means that only a program error will cause the Redis command execution to fail, which This type of error is most likely to be discovered during program development and is generally rarely found in a production environment.
Redis has simplified functions within the system to ensure faster running speed because Redis does not require the ability to roll back transactions.
There is a common objection to this behavior of Redis transactions, that is, the program may have defects (bugs). However, you should note that transaction rollback does not resolve any program errors.
For example, if a query increments the value of a key by 2 instead of 1, or increments the wrong key, then the transaction rollback mechanism has no way to solve these program problems. Please note that no one can fix programmer's own errors that may cause Redis command execution to fail. Because these program errors are unlikely to enter the production environment, we choose a simpler and faster method when developing Redis without implementing error rollback.
In short, given that there is no mechanism to avoid errors caused by programmers themselves, and such errors usually do not occur in production environments, Redis chose a simpler and faster without Rollback method to process the transaction.
Recommended: "Redis Video Tutorial"
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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,

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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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