Share redis multi-dimensional ranking ideas

This article brings you relevant knowledge about redis. It mainly shares with you the idea of ​​redis multi-dimensional ranking. Friends who are interested can take a look at it together. I hope it will be helpful to everyone.

Problem Description

1. #As we all know, redis zset is often used in rankings and can be done right out of the box Use it, but it has a disadvantage, that is, it only supports single-dimensional rankings.

2. However, in actual projects, single-dimensional ranking is indeed very impractical. A simple example is walking ranking. The product requirement is to rank and sort based on the number of steps, completion time, and person’s name. Priority is from left to right.

3. My solution is to convert all dimensions into numbers, and then add the numbers in these dimensions, so that multi-dimensional rankings can be solved.

Specific solution ideas

1. Number of steps: Originally it is a number and can be ignored

2. Completion time: The completion time generally stores a timestamp, and the later the timestamp is, the larger the value will be. To ensure that the earlier the completion time is, the higher the ranking will be. The earlier the time is, the greater the value will be. We can subtract the timestamp of the user's completion time from a larger timestamp, so that the earlier the completion time, the greater the value.

3. Personal names: Personal names are generally composed of Chinese characters or letters. Chinese characters and letters are both strings. When we want to sort, the first step is to convert the strings into numbers. It is recommended to use PHP for this process. Native function mb_ord.

4. For example, the number of steps of a user is 10,000, the completion time (after calculation) is 100,000 (a timestamp written randomly), and the name of the person is 500 (after calculation) is Zhang San (written randomly) ), we can get a value of 10000.100500 (number of steps, completion time and person name added together).

5. In the actual process of obtaining the value, we can remove the decimal point. The number after the decimal point is only used for ranking.

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