Rank MySQL by date time and sum
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P粉322319601 2023-09-01 08:49:20
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<p>I have a database that stores purchase records: </p> <pre class="brush:php;toolbar:false;">| user_id | product | price | datetime | ---------------------------------------- | 1 | 1 | -0.75 | 2022-01-01 | | 2 | 1 | -0.75 | 2022-01-01 | | 3 | 2 | -0.65 | 2022-01-01 | | 2 | 1 | -0.75 | 2022-01-01 | | 1 | 1 | -0.75 | 2022-01-02 | | 1 | 3 | -1.50 | 2022-01-02 | | 1 | 2 | -0.65 | 2022-01-02 | | 2 | 1 | -0.75 | 2022-01-02 | | 3 | 2 | -0.65 | 2022-01-02 | | 3 | 3 | -1.50 | 2022-01-02 | | 3 | 3 | -1.50 | 2022-01-02 |</pre> <p>N.B. Time is not important in this problem. </p> <p>What I want is the ranking of each user every day. For example, the situation of user 1 is as follows: </p> <pre class="brush:php;toolbar:false;">| datetime | product1 | product2 | product3 | total | ranking | -------------------------------------------------- ------------------ | 2022-01-01 | 1 | 0 | 0 | 0.75 | 2 | | 2022-01-02 | 1 | 1 | 1 | 2.90 | 2 |</pre> <p>Please note that rankings are calculated on a daily basis. </p> <p>The following query gives a portion of the table: </p> <pre class="lang-sql prettyprint-override"><code>SELECT DATE(`datetime`) AS datetime, SUM(CASE WHEN product = 1 THEN 1 ELSE 0 END) AS product1, SUM(CASE WHEN product = 2 THEN 1 ELSE 0 END) AS product2, SUM(CASE WHEN product = 3 THEN 1 ELSE 0 END) AS product3, SUM(CASE WHEN product = 1 THEN 0.75 ELSE 0 END) SUM(CASE WHEN product = 2 THEN 0.65 ELSE 0 END) SUM(CASE WHEN product = 3 THEN 1.5 ELSE 0 END) as total, FROM `history` WHERE user_id=1 GROUP BY DATE(`datetime`) </code></pre> <p>My problem is very similar to this one: MySQL ranking, but I can't get the results exactly as I asked. Only all users for each day can be ranked. If I add the given ranking function, it will look at the table and put 2022-01-02 as first (because 2.90 is higher than 0.75). How do I make rankings work for each day? </p>
P粉322319601
P粉322319601

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P粉707235568

The question is not entirely clear. However, I think what you're asking is how to rank all users' purchases by day:

history_date user_id DailyTotal totalRank
2022-01-01 2 1.50 1
2022-01-01 1 0.75 2
2022-01-01 3 0.65 3
2022-01-02 3 3.65 1
2022-01-02 1 2.90 2
2022-01-02 2 0.75 3
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