Hi, I'm Mu! Your harvest is my like, your thumbs-up is my approval. Today, instead of talking about the Redis interview series, let's talk about limiting traffic
1.AOF Persistence The AOF persistence records every write and delete operation processed by the server in the form of logs. The query operation is not recorded. 1.1 Advantages of AOF This mechanism can bring higher data security
Fundamentals of Redis Sentinel Fundamentals of Redis Sentinel
Redis has high performance because all reads and writes are done in memory. When our server is disconnected or restarted, the data will disappear, so how do we solve this problem? In fact, Redis has provided us with a persistence mechanism, respectively RD
This paper links: https://blog.csdn.net/weixin_42742643/article/details/111581888 a, why want to use the cache? High performance assumes a scenario where a request comes in to query a database
Using Spring Boot makes it very easy and fast to set up projects, so we don't have to worry about compatibility between frameworks, applicable versions, etc. We can use anything we want, just add a configuration. Redis is a high performance key-value database. Redis largely compensates for memcached keys/values...
To be able to reuse Redis data, or to prevent system failures, we need to write the data in Redis to disk space, known as persistence. Redis provides two different persistence methods to store data on disk. One is called Snapshot RDB, and the other is called append file only.
What is master/ Slave replication The master/slaver mechanism that automatically synchronizes data updates from the master database to the slave database (the backup machine) based on the configuration and policies. The master (the master database) writes data and the slave (the slave database) reads data. Primary/Secondary Replication Read/write separation: master
One important reason why Redis is so fast is that Redis is a high-performance key-value in-memory database. All data is stored in the memory. To ensure that the memory data is not lost after a downtime or restart, Redis provides a persistence mechanism to store the data in the memory
We all know about bloem filters, but what are their data structures, what problems do they exist to solve, and how do they hold elements?