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将列拆分为多列 mysql

[英]Split column into multiple columns mysql

My dataframe has a column (numbers_selected) and for each row, it looks like this:我的 dataframe 有一列(numbers_selected),对于每一行,它看起来像这样:

1. 6-9-27
2. 2-3-6-8-30
3. 3-11-13-18
4. 3-14-15-17-18-30
5. 3-8-10-12-16
6. 3-7-8-27-29
7. 8-14-21

As you can see each row can have different amount of numbers.如您所见,每一行可以有不同数量的数字。

What I am looking for is to see if it is possible to create a column for each of these numbers.我正在寻找的是看看是否可以为这些数字中的每一个创建一个列。 There will be up to 6 columns as it is not possible to have more than 6 numbers in a row.最多有 6 列,因为一行中的数字不能超过 6 个。

At the end, the dataset should look like these:最后,数据集应如下所示:

1st Number第一个号码 2nd Number第二个号码 3rd Number第三个数字 4th Number第 4 号 5th Number第 5 号 6th Number第六号
6 6 9 9 27 27 Null Null Null Null Null Null
2 2 3 3 6 6 8 8 30 30 Null Null
3 3 11 11 13 13 18 18 Null Null Null Null
3 3 14 14 15 15 17 17 18 18 30 30
3 3 8 8 10 10 12 12 16 16 Null Null
3 3 7 7 8 8 27 27 29 29 Null Null
8 8 14 14 21 21 Null Null Null Null Null Null

bar酒吧

The query I am using is:我正在使用的查询是:

Select Week, number_selected from x. Select 周,number_selected from x。

Hope you can help me with these, thanks!希望您能帮我解决这些问题,谢谢!

How about a json approach? json 方法怎么样?

select week,
    js ->> '$[0]' as num1,
    js ->> '$[1]' as num2,
    js ->> '$[2]' as num3,
    js ->> '$[3]' as num4,
    js ->> '$[4]' as num5,
    js ->> '$[5]' as num6
from (
    select t.*, concat('[', replace(numbers_selected, '-', ','), ']') as js
    from mytable t
) t

This works by using string functions to convert the dash-separated string to something that looks like a json array.这通过使用字符串函数将破折号分隔的字符串转换为看起来像 json 数组的东西来工作。 Typically, '6-9-27' becomes [6,9,27] .通常, '6-9-27'变为[6,9,27] We can then use json accessor ->> to bring each array element by index.然后我们可以使用 json 访问器->>通过索引来获取每个数组元素。

Demo on DB Fiddle : DB Fiddle 上的演示

week | num1 | num2 | num3 | num4 | num5 | num6
---: | :--- | :--- | :--- | :--- | :--- | :---
   1 | 6    | 9    | 27   | null | null | null
   2 | 2    | 3    | 6    | 8    | 30   | null
   3 | 3    | 11   | 13   | 18   | null | null
   4 | 3    | 14   | 15   | 17   | 18   | 30  
   5 | 3    | 8    | 10   | 12   | 16   | null
   6 | 3    | 7    | 8    | 27   | 29   | null
   7 | 8    | 14   | 21   | null | null | null

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