In the technology group, someone took 8 consecutive offers in a month, and two of them were first-line Internet companies!
Then this friend moved happily. It is said that the monthly salary has been conservatively increased by 10K. A small factory background, just over three years of back-end development after graduation, how did you do it?
He first used what he learned on company projects. For example, the company used to do product detail pages. The daily life was not large and the visits were low, so there was no concurrency design. A tomcat could do it. Later, the factory changed projects, and he skipped the static page scheme and directly optimized the system to the highest level: high availability, high performance, and high concurrency. As shown:
This kind of money-saving and practical operation for the company directly increases your salary by 3K.
Redis's qps can reach hundreds of thousands per second, and then it can do real-time data backup, and guarantee 99.99% of the service is available. He not only does not need to update in full, but also achieves n-level cache. It's simply the style of the top-tier programmers!
As he deepened his understanding of the JAVA architecture, he found that one of the most popular NoSql databases at present, large companies are using Redis to achieve high concurrency and rapid response. For example: WeChat likes, collections and tags are based on Redis, Weibo and WeChat The friend attention model is based on Redis implementation, as well as distributed locks and shopping carts for e-commerce services.
Redis is a must in high concurrency scenarios, and Redis non-relational memory storage is not unbelievable.
Support asynchronous persistence to achieve disaster tolerance: fast speed and high concurrency. Officials claim to support 110,000 concurrent read operations and 80,000 concurrent write operations. Surprised?
Support rich data structure: string (string), list (linked list), set (collection), zset (sorted set-ordered set)) and Hash (hash type). Surprised?
This friend relied on his deep understanding of Redis and combined with the underlying logic of the Java architecture to make the interviewer nod frequently and directly jumped to 10K.
Technical points like Redis alone may not improve your overall level, but you might as well ask yourself if you still lack these capabilities:
- Cache architecture logic
- Core Data Framework
- Design principle logic
- Low-level implementation capabilities
If you have too simple knowledge of technical points like Redis, then your overall understanding of the JAVA architecture is also very simple. The underlying principles determine the upper-level architecture. Here I share a Redis practical note for everyone to use Redis more efficiently. Come sort out, consolidate, and advance.
First take a screenshot of the catalog and content:
Due to space reasons, friends who need the complete documentation of Redis actual combat notes can get it for free with the help of one-click and three-connection, as shown in the figure below and the assistant VX (gyhycx7980)! !
The first part of data structure and objects
The second part of the realization of the stand-alone database
The third part of the realization of multi-machine database
Due to space reasons, friends who need the complete documentation of Redis actual combat notes can get it for free after seeing the assistant VX (gyhycx7980) after one-click three consecutive sessions! !
The fourth part of the realization of independent functions
Due to space reasons, friends who need the complete documentation of Redis actual combat notes can receive it for free after scanning the following three consecutive times! !
