我有一个正在处理的mysql查询，无法使其正常工作

Question

introID是将某些成员引入程序的成员的ID。 原始提取数据：

ID  | parentID | introID | name
45       15        12      Rasika Bedekar   
41       14        10      Arjun Rampal 
29       10        8       Raju Aswani  
32       11        8       Sheetal Bhadra   
47       16        8       Luna Verma   
50       17        8       Vinod Gala   
68       23        8       Vibha Palte  
53       18        5       Rashid Khan  
54       18        5       Irfan Pathan
1        0         0       Manish Shah  
2        1         0       Nirmal Malik

构建第一个报告，我们通过此查询获取每个级别的所有成员：

`select a.ID, a.parentID, a.name,(select count(*) from members where introID = a.ID) as     intro,
count(distinct b.ID) as level1,
count(distinct c.ID) as level2,
count(distinct d.ID) as level3,
count(distinct e.ID) as level4,
count(distinct f.ID) as level5,
count(distinct g.ID) as level6,
count(distinct h.ID) as level7,
count(distinct i.ID) as level8,
count(distinct j.ID) as level9,
count(distinct k.ID) as level10
from members a
left join members b on b.parentID = a.ID
left join members c on c.parentID = b.ID
left join members d on d.parentID = c.ID
left join members e on e.parentID = d.ID
left join members f on f.parentID = e.ID
left join members g on g.parentID = f.ID
left join members h on h.parentID = g.ID
left join members i on i.parentID = h.ID
left join members j on j.parentID = i.ID
left join members k on k.parentID = j.ID
left join members l on l.parentID = k.ID
where a.ID IN (select ID from members) group by ID`

结果是这样的：

ID | parentID | name | totals_intro | level1 | level2 | level3 | level4 |
1       0       name1        0           3       9        27       81
2       1       name2        0           3       9        27       36
3       1       name3        0           3       9        27       0
4       1       name4        0           3       9        27       0
5       2       name5        2           3       9        27       0

问题是，如何获得每个级别的totals_intro？ level1_intro，level2_itro等...每个级别的结果都是要在下一个introID上查找的ID的范围

Answer 1

我有一个答案，并按照邻接列表模型，其他人确定了如何构建查询：

select a.ID, a.name, (select count(*) from members where introID = a.ID) as Total_introduced, 
count(distinct b.ID) as level1,
count(distinct c.ID) as level2,
count(distinct d.ID) as level3,
count(distinct e.ID) as level4,
count(distinct f.ID) as level5, 
count(distinct g.ID) as level6,
count(distinct h.ID) as level7,
count(distinct i.ID) as level8,
count(distinct j.ID) as level9,
count(distinct k.ID) as level10,
COUNT(distinct IF(b.introID = a.ID, b.ID, NULL)) AS I1,
COUNT(distinct IF(c.introID = a.ID, c.ID, NULL)) AS I2,
COUNT(distinct IF(d.introID = a.ID, d.ID, NULL)) AS I3,
COUNT(distinct IF(e.introID = a.ID, e.ID, NULL)) AS I4,
COUNT(distinct IF(f.introID = a.ID, f.ID, NULL)) AS I5,
COUNT(distinct IF(g.introID = a.ID, g.ID, NULL)) AS I6,
COUNT(distinct IF(h.introID = a.ID, h.ID, NULL)) AS I7,
COUNT(distinct IF(i.introID = a.ID, i.ID, NULL)) AS I8,
COUNT(distinct IF(j.introID = a.ID, j.ID, NULL)) AS I9,
COUNT(distinct IF(k.introID = a.ID, k.ID, NULL)) AS I10
from members a
left join members b on b.parentID = a.ID 
left join members c on c.parentID = b.ID 
left join members d on d.parentID = c.ID 
left join members e on e.parentID = d.ID 
left join members f on f.parentID = e.ID
left join members g on g.parentID = f.ID
left join members h on h.parentID = g.ID
left join members i on i.parentID = h.ID
left join members j on j.parentID = i.ID
left join members k on k.parentID = j.ID
left join members l on l.parentID = k.ID
where a.ID IN (select ID from members) group by ID