从SQL数据库表中获取重复对、三元组、四元组等？

我有一张来自波兰乐透多20/80历史绘画的桌子。因此，每行包含20列，数字范围为1到80，行内没有重复的数字

有一些绘图，其中80和77对一起出现在最后一个绘图检查图像链接中，但在SQL结果中似乎没有任何80甚至77个数字，最大的是nr2列检查图像链接中的63个，以了解详细信息。 我正在尝试这段SQL查询代码，但它似乎没有捕获所有列，而是在最大列数10处进行检查，在本例中，最大列数为63，而没有进一步到第20列，其中存储的最大可能数为80

这是我使用的完整SQL查询代码：

CREATE TABLE IF NOT EXISTS unpivot AS
SELECT *
FROM (
        SELECT DrawId, N1 as n_value FROM draws union all
        SELECT DrawId, N2 as n_value FROM draws union all
        SELECT DrawId, N3 as n_value FROM draws union all
        SELECT DrawId, N4 as n_value FROM draws union all
        SELECT DrawId, N5 as n_value FROM draws union all
        SELECT DrawId, N6 as n_value FROM draws union all
        SELECT DrawId, N7 as n_value FROM draws union all
        SELECT DrawId, N8 as n_value FROM draws union all
        SELECT DrawId, N9 as n_value FROM draws union all
        SELECT DrawId, N10 as n_value FROM draws union all
        SELECT DrawId, N11 as n_value FROM draws union all
        SELECT DrawId, N12 as n_value FROM draws union all
        SELECT DrawId, N13 as n_value FROM draws union all
        SELECT DrawId, N14 as n_value FROM draws union all
        SELECT DrawId, N15 as n_value FROM draws union all
        SELECT DrawId, N16 as n_value FROM draws union all
        SELECT DrawId, N17 as n_value FROM draws union all
        SELECT DrawId, N18 as n_value FROM draws union all
        SELECT DrawId, N19 as n_value FROM draws union all
        SELECT DrawId, N20 as n_value FROM draws
     ) as T;

SELECT nr1, nr2, count(*) as total
FROM
    (
    SELECT up1.n_value as nr1, up2.n_value as nr2
    FROM unpivot up1
    JOIN unpivot up2
      ON up1.DrawId = up2.DrawId
     AND up1.n_value < up2.n_value
   ) T
GROUP BY nr1, nr2
ORDER BY nr2 desc;
-- LIMIT 300;

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我怀疑问题在于：

 CREATE TABLE IF NOT EXISTS unpivot AS . . .

也就是说，您有一个旧版本的表，并且没有创建新版本

相反，要：

DROP TABLE IF EXISTS unpivot;

然后：

---

用你正在使用的数据库标记你的问题。n_值的数据类型是什么？请显示表的定义。我目前正在一个SQLite数据库上测试，但计划转移到MySQL，它的命令几乎相同。n_值它是一个int类型。我很久以前就创建了这个表，现在已经没有python脚本了。我解决了这个问题。解决方案就在戈登的上面。非常感谢。是的，你说得对！这就是问题所在！非常感谢你的帮助@溜溜球。你可以考虑接受这个答案。

CREATE TABLE unpivot AS . . .