Mysql 计算表中联接和组结果中的字段数
我有一张表格，里面有关于原籍国、出生、国籍和性别的数据Mysql 计算表中联接和组结果中的字段数,mysql,join,Mysql,Join,我有一张表格，里面有关于原籍国、出生、国籍和性别的数据 PEOPLE +-----------------------+--------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +-----------------------+--------------+------+-----+
PEOPLE
+-----------------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| name | varchar(200) | YES | | NULL | |
| surname | varchar(200) | YES | | NULL | |
| sex | varchar(1) | YES | | NULL | |
| idNatBirth | int(11) | YES | MUL | NULL | |
| idNatOrigin | int(11) | YES | MUL | NULL | |
| idNatCitizen | int(11) | YES | MUL | NULL | |
+-----------------------+--------------+------+-----+---------+----------------+
NATIONS
+-------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| code | bigint(20) | YES | | NULL | |
| description | varchar(100) | YES | | NULL | |
+-------------+--------------+------+-----+---------+----------------+
select people.idNatBirth, nations.*, count(*) FROM people
INNER JOIN nations
ON nations.id = people.idNatBirth
GROUP BY nations.description;
+------------------+-----+--------+-------------+----------+
| idNatBirth | id | code | description | count(*) |
+------------------+-----+--------+-------------+----------+
| 133 | 133 | 1 | AFGHANISTAN | 43 |
| 193 | 193 | 61 | IRAQ | 139 |
| 219 | 219 | 87 | PAKISTAN | 59 |
| 238 | 238 | 106 | SIRIA | 161 |
+------------------+-----+--------+-------------+----------+
+------------------------+----------+------------+----------+------------+------------+-----------+------------+
| description | birth | birthMale | birthFem | origin | originMale | originFem | citizenship etc .....
+------------------------+----------+------------+----------+------------+------------+-----------+------------+
| AFGHANISTAN | 43 | 20 | 23 | 40 | 20 | 20 | ....
| IRAQ | 139 | 39 | 100 | 29 | 9 | 20 | ....
| PAKISTAN | 59 | 50 | 9 | 10 | 9 | 1 | ....
| SIRIA | 161 | 61 | 100 | 102 | 2 | 100 | ....
| ALBANIA | 0 | 0 | 0 | 12 | 10 | 2 | ....
| SOMALIA | 0 | 0 | 0 | ...
...
...
+----+------------+------------+-------+------------------+----------------------+-----------------------+
| id | name | surname | sex | idNatBirth | idNatOrigin | idNatCitizen |
+----+------------+------------+-------+------------------+----------------------+-----------------------+
| 1 | name | surname | M | 133 | NULL | NULL |
| 2 | AUTOS1 | AUTOS2 | M | 133 | NULL | NULL |
| 3 | Johari | JAI | F | 193 | 238 | 193 |
| 4 | Bejide | RAI | F | 193 | 193 | 193 |
| 5 | Sema | DARSHA | M | 238 | 238 | 238 |
| 6 | Kefilwe | LATA | M | 219 | 219 | 219 |
| 7 | Kali | RAJAN | M | 238 | 238 | 238 |
| 8 | Tanginika | SAXENA | F | 193 | 193 | 193 |
| 9 | Marahaba | CHAUHAN | M | 238 | 238 | 238 |
| 10 | Malkia | PATEL | M | 238 | 238 | 238 |
| 11 | Makena | DHAWAN | F | 193 | 193 | 193 |
| 12 | Dziko | NARAYAN | M | 238 | 238 | 238 |
| 13 | Anaya | NEEL | M | 193 | 193 | 193 |
| 14 | Yahminah | SANDEEP | M | 238 | 238 | 238 |
| 15 | Iruwa | SEN | M | 219 | 219 | 219 |
| 16 | Abena | MATI | M | 133 | 133 | 133 |
| 17 | Obax | BHATT | M | 193 | 193 | 193 |
| 18 | Bikilu | NATH | F | 133 | 133 | 133 |
| 19 | Mumbi | SRINI | M | 219 | 219 | 219 |
| 20 | Wanjiko | MANJU | M | 193 | 238 | 193 |
+----+------------+------------+-------+------------------+----------------------+-----------------------+
SELECT description,
SUM(birth) birth,
SUM(birthmale) birthMale,
SUM(birthfem) birthFem,
SUM(origin) origin,
SUM(originmale) originMale,
SUM(originfem) originFem,
SUM(citizenship) citizenship,
SUM(citizenmale) citizenMale,
SUM(citizenfem) citizenFem
FROM (SELECT CASE
WHEN n.id IS NOT NULL THEN n.description
WHEN org.id IS NOT NULL THEN org.description
WHEN cit.id IS NOT NULL THEN cit.description
END description,
SUM(CASE WHEN n.id IS NOT NULL THEN 1 ELSE 0 END) AS birth,
SUM(CASE WHEN n.id IS NOT NULL AND people.sex = 'M' THEN 1 ELSE 0 END) birthmale,
SUM(CASE WHEN n.id IS NOT NULL AND people.sex = 'F' THEN 1 ELSE 0 END) birthFem,
SUM(CASE WHEN org.id IS NOT NULL THEN 1 ELSE 0 END) AS origin,
SUM(CASE WHEN org.id IS NOT NULL AND people.sex = 'M' THEN 1 ELSE 0 END) originmale,
SUM(CASE WHEN org.id IS NOT NULL AND people.sex = 'F' THEN 1 ELSE 0 END) originFem,
SUM(CASE WHEN cit.id IS NOT NULL THEN 1 ELSE 0 END) AS citizenship,
SUM(CASE WHEN cit.id IS NOT NULL AND people.sex = 'M' THEN 1 ELSE 0 END) citizenmale,
SUM(CASE WHEN cit.id IS NOT NULL AND people.sex = 'F' THEN 1 ELSE 0 END) citizenFem
FROM people
LEFT JOIN nations n
ON n.id = people.idnatbirth
LEFT JOIN nations org
ON org.id = people.idnatorigin
LEFT JOIN nations cit
ON cit.id = people.idnatcitizen
GROUP BY n.id,
org.id,
cit.id,
n.description,
org.description,
cit.description)t1
GROUP BY description;
SELECT description,
SUM(birth) birth,
SUM(birthmale) birthMale,
SUM(birthfem) birthFem,
SUM(origin) origin,
SUM(originmale) originMale,
SUM(originfem) originFem,
SUM(citizenship) citizenship,
SUM(citizenmale) citizenMale,
SUM(citizenfem) citizenFem
FROM (SELECT CASE
WHEN n.id IS NOT NULL THEN n.description
WHEN org.id IS NOT NULL THEN org.description
WHEN cit.id IS NOT NULL THEN cit.description
END description,
SUM(CASE WHEN n.id IS NOT NULL THEN 1 ELSE 0 END) AS birth,
SUM(CASE WHEN n.id IS NOT NULL AND people.sex = 'M' THEN 1 ELSE 0 END) birthmale,
SUM(CASE WHEN n.id IS NOT NULL AND people.sex = 'F' THEN 1 ELSE 0 END) birthFem,
SUM(CASE WHEN org.id IS NOT NULL THEN 1 ELSE 0 END) AS origin,
SUM(CASE WHEN org.id IS NOT NULL AND people.sex = 'M' THEN 1 ELSE 0 END) originmale,
SUM(CASE WHEN org.id IS NOT NULL AND people.sex = 'F' THEN 1 ELSE 0 END) originFem,
SUM(CASE WHEN cit.id IS NOT NULL THEN 1 ELSE 0 END) AS citizenship,
SUM(CASE WHEN cit.id IS NOT NULL AND people.sex = 'M' THEN 1 ELSE 0 END) citizenmale,
SUM(CASE WHEN cit.id IS NOT NULL AND people.sex = 'F' THEN 1 ELSE 0 END) citizenFem
FROM people
LEFT JOIN nations n
ON n.id = people.idnatbirth
LEFT JOIN nations org
ON org.id = people.idnatorigin
LEFT JOIN nations cit
ON cit.id = people.idnatcitizen
GROUP BY n.id,
org.id,
cit.id,
n.description,
org.description,
cit.description)t1
GROUP BY description;
希望这能帮到你。这确实是一个简单的查询。格式化查询就像魔鬼查询一样。您能提供
人员表中的一些示例数据吗？谢谢！刚刚编辑了我的帖子…你能提供一些人表格中的样本数据吗？谢谢！刚刚编辑了我的帖子…快到了！谢谢唯一的问题是，结果只涉及国家在各个领域的表现。几乎就在那里！谢谢问题是，查询实际上只列出了出现在每个字段中的国家：因此我无法看到，例如，出现在公民身份字段中的国家。。。我需要查看与这三个领域中任何一个领域相关的所有国家…@Take小姐，你有这种情况的样本数据吗？如果是这样，请更新问题并让我知道。只需添加或编辑其他字段中不存在的id。。。（在我的real DB 173=厄立特里亚仅出现在IDNATORIGN列中）您将看到，该id不会出现在结果中，除非它已插入三国柱中…几乎在那里！谢谢唯一的问题是，结果只涉及国家在各个领域的表现。几乎就在那里！谢谢问题是，查询实际上只列出了出现在每个字段中的国家：因此我无法看到，例如，出现在公民身份字段中的国家。。。我需要查看与这三个领域中任何一个领域相关的所有国家…@Take小姐，你有这种情况的样本数据吗？如果是这样，请更新问题并让我知道。只需添加或编辑其他字段中不存在的id。。。（在我的real DB 173=厄立特里亚仅出现在IDNATORIGN列中）您将看到此id不会出现在结果中，除非它已插入三国列中。。。