SQL - 递归查询

SQL - Recursive Query

我有以下 mysql table 示例数据如下:

 id    location            parentid
 1     UK                  0
 2     East Anglia         1
 3     Cambridgeshire      2
 4     Norfolk             2
 5     Suffolk             2 
 6     East Midlands       1
 7     Derbyshire          6
 8     Leicestershire      6 
 9     EU Countries        0
 10    Austria             9
 11    Belgium             9

我想生成一个查询,借此我可以按位置名称获取位置列表,但该位置应包括任何父位置。例如

搜索 folk 应该 return:

 id  location
 4   Norfolk, East Anglia, UK
 5   Suffolk, East Anglia, UK

搜索 East 应该 return:

id  location
2   East Anglia, UK
6   East Midlands, UK

搜索 Bel 应该 return:

id  location
11  Belgium 

在上面我们排除了连接 EU countries

显然以下内容不起作用:

select c.id, CONCAT_WS(', ', c.location, p.location, pp.location) as location
from tbl_locations c
   outer left join tbl_locations p on p.id = c.parentid
   outer left join tbl_locations pp on pp.id = p.parentid
 where c.location like '%whatever%'

如果您只想要父位置,则可以通过自连接完成:

select c.id, c.location, p.id, p.location
from tbl_locations c
  outer left join tbl_locations p on p.id = c.parentid
where c.location like '%whatever%'

这可以扩展(通过外连接)到任意数量的级别,但查询会变长。例如。分为三个级别:

select c.id, c.location, p.id, p.location, pp.id, pp.location
from tbl_locations c
  outer left join tbl_locations p on p.id = c.parentid
  outer left join tbl_locations pp on pp.id = p.parentid
where c.location like '%whatever%'

更一般的递归查询取决于RDBMS的细节。最简单的方法是使用通用 Table 表达式 (CTE)。但是 MySQL 不支持它们(至少现在还不支持)。可以使用其他方法:Generating Depth based tree from Hierarchical Data in MySQL (no CTEs).

1) 没有可以计算"transitive closure"传递关系的标准SQL查询。如果你想嵌套 select 语句,你将始终有一个可以达到的最大深度。

2) 没有标准的 SQL 查询可以 return 具有可变列数的行。所以你必须以某种方式格式化你的结果(例如 csv)。

但是,您可以在 MySQL 中使用存储过程完成此操作:

 1 CREATE DATABASE IF NOT EXISTS test;
 2 USE test;
 3 
 4 
 5 DROP TABLE IF EXISTS location;
 6 CREATE TABLE location (id INT UNSIGNED PRIMARY KEY, name VARCHAR(30) NOT NULL, parent_id INT UNSIGNED NULL REFERENCES location(id));
 7 
 8 INSERT INTO location VALUES
 9 (1,"UK",0), 
10 (2,"East Anglia",1),
11 (3,"Cambridgeshire",2),
12 (4,"Norfolk",2),
13 (5,"Suffolk",2),
14 (6,"East Midlands",1),
15 (7,"Derbyshire",6),
16 (8,"Leicestershire",6);
17 
18 
19 
20 
21 DROP FUNCTION IF EXISTS location_with_parents;
22 DELIMITER //
23 CREATE FUNCTION location_with_parents(location_id INT UNSIGNED) RETURNS VARCHAR(255) READS SQL DATA
24 BEGIN
25     DECLARE LOC_STR VARCHAR(255) DEFAULT NULL;
26     DECLARE LOC_ADD VARCHAR(255) DEFAULT NULL;
27     DECLARE PAR_ID INT UNSIGNED DEFAULT location_id;
28     
29     SELECT name INTO LOC_STR FROM location where id=PAR_ID;
30     loop_label: LOOP 
31         SELECT parent_id INTO PAR_ID FROM location where id=PAR_ID;
32         
33         IF PAR_ID = 0 THEN
34             LEAVE loop_label;
35         ELSE
36             SELECT name INTO LOC_ADD FROM location where id=PAR_ID;
37             SET LOC_STR = CONCAT(LOC_STR, ', ', LOC_ADD); 
38             ITERATE loop_label;
39         END IF;
40     END LOOP loop_label;
41     RETURN LOC_STR;
42     
43 END;
44 //
45 
46 DELIMITER ;
47 
48 
49 
50 SELECT location_with_parents(id) FROM location WHERE name LIKE "%folk%";
51 
52 DROP DATABASE test;

适用于 MySQL 5.6.35

希望对您有所帮助!

下面的查询使用递归方法为您提供了您想要的准确结果。

    Select S.ID , 
    concat( S.location,',', Group_concat
    (distinct A.location ORDER BY  A.location  SEPARATOR ',' ) ) as location
    from

         (    SELECT  distinct @r AS _id  ,location,
                        (
                        SELECT  @r := parentid
                        FROM    tbl_locations 
                        WHERE   id = _id
                        ) AS parentid,
                        @l := @l + 1 AS level
                FROM    (
                        SELECT  @r := h.ID,
                                @l := 0,
                                @cl := 0
                         from tbl_locations  h
                         where location like '%folk%'

                        ) vars,
                        tbl_locations  h
                WHERE   @r <> 0


          )A , tbl_locations    S
                where s.location like '%folk%'
                group by S.ID

OutPut :

 location like '%East%' :

location like '%Folk%'

这是个好问题,如果您有任何疑虑,请检查并询问。