1. Cache penetration
1.2 Description of the problem
When the user requests that the cache data corresponding to the breakdown of the query result in the database is empty, the result is not cached, causing each query would access the database is empty
1.2 Solution
Query the database to null the key is also cached, set a certain expiration date, so that only the key failure of the amount of time to access the database, the database can reduce stress
2. Cache avalanche
2.2 Description of the problem
At the same time, a large number of key failures, leading to these key access rests on the database, causing huge pressure on the database
2.2 Solution
Randomly setting key of the expiration time , so that the key expiration time evenly distributed, thereby dispersing pressure database
3. Cache breakdown
3.2 Description of the problem
Failure frequently accessed hot data, resulting in a large number of hot data access time fall on the database, the database may lead to collapse
3.2 Solution
Hot frequently accessed data can not be set to a permanent failure
Subsequent updates java + redis + springboot implementation code
