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Percona教程:MySQL GROUP_CONCAT的使用

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percona 有一篇文章: The power of MySQL GROUP_CONCAT 比较详细地介绍了 GROUP_CONCAT 函数的用法。简单地翻译了一下。

假设你有 4 名工程师,这周他们为 6 名客户解决了 15 个问题。他们之间彼此协作,如何展示他们之间的逻辑关系呢?我是这么做的:

译者的 sql 与原文给出的 sql 有些许的差异,不过核心思想是一致的。

创建表:

工程师表 engineers (id, name, surname, URL)
客户表 customers (id, company name, URL)
问题表 issues (id, customer_id, description)
工作流 workflow (id, engineer_id, issue_id)

— Engineers
CREATE TABLE engineers (
id SMALLINT UNSIGNED NOT NULL AUTO_INCREMENT,
e_name VARCHAR(30) NOT NULL,
e_surname VARCHAR(30) NOT NULL,
url VARCHAR(255) NOT NULL,
PRIMARY KEY (id)
) ENGINE=InnoDB;
— Customers
CREATE TABLE customers (
id SMALLINT UNSIGNED NOT NULL AUTO_INCREMENT,
company_name VARCHAR(30) NOT NULL,
url VARCHAR(255) NOT NULL,
PRIMARY KEY (id)
) ENGINE=InnoDB;
— Issues (Issue-Customer)
CREATE TABLE issues (
id MEDIUMINT UNSIGNED NOT NULL AUTO_INCREMENT,
customer_id VARCHAR(30) NOT NULL,
description TEXT,
PRIMARY KEY (id)
) ENGINE=InnoDB;
— Workflow (Action: Engineer-Issue(Customer))
CREATE TABLE workflow (
action_id INT UNSIGNED NOT NULL AUTO_INCREMENT,
engineer_id SMALLINT UNSIGNED NOT NULL,
issue_id SMALLINT UNSIGNED NOT NULL,
PRIMARY KEY (action_id)
) ENGINE=InnoDB;
INSERT INTO engineers (e_name, e_surname, url)
VALUES
(‘Miguel’, ‘Nieto’, ‘https://www.percona.com/about-us/our-team/miguel-angel-nieto’),
(‘Marcos’, ‘Albe’, ‘https://www.percona.com/about-us/our-team/marcos-albe’),
(‘Valerii’, ‘Kravchuk’, ‘https://www.percona.com/about-us/our-team/valerii-kravchuk’),
(‘Michael’, ‘Rikmas’, ‘https://www.percona.com/about-us/our-team/michael-rikmas’);
INSERT INTO customers (company_name, url)
VALUES
(‘OT’,’http://www.ovaistariq.net/’),
(‘PZ’,’http://www.peterzaitsev.com/’),
(‘VK’,’http://MySQLentomologist.blogspot.com/’),
(‘FD’,’http://www.lefred.be/’),
(‘AS’,’http://mysqlunlimited.blogspot.com/’),
(‘SS’,’https://www.flamingspork.com/blog/’);
INSERT INTO issues(customer_id, description)
VALUES
(1,’Fix replication’),
(2,’Help with installation of Percona Cluster’),
(3,’Hardware suggestions’),
(4,’Error: no space left’),
(5,’Help with setup daily backup by Xtrabackup’),
(6,’Poke sales about Support agreement renewal’),
(4,’Add more accounts for customer’),
(2,’Create Hot Fix of Bug 1040735′),
(1,’Query optimisation’),
(1,’Prepare custom build for Solaris’),
(2,’explain about Percona Monitoring plugins’),
(6,’Prepare access for customer servers for future work’),
(5,’Decribe load balancing for pt-online-schema-change’),
(4,’Managing deadlocks’),
(1,’Suggestions about buffer pool size’);
INSERT INTO workflow (engineer_id, issue_id)
VALUES (1,1),(4,2),(2,3),(1,4),(3,5),(2,6),(3,7),(2,8),(2,9),(1,10),(3,11),(2,12),(2,13),(3,14),(1,15),(1,9),(4,14),(2,9),(1,15),(3,10),(4,2),(2,15),(4,8),(4,4),(3,11),(1,7),(3,7),(1,1),(1,9),(3,4),(4,3),(1,5),(1,7),(1,4),(2,4),(2,5);

例 1)查询出每个工程师需要解决的问题列表:

SELECT
    CONCAT(e.e_name, ‘ ‘, e.e_surname) AS engineer_name,
    GROUP_CONCAT(
        DISTINCT w.issue_id,
        ‘(‘,
        c.company_name,
        ‘)’
    ORDER BY
        w.issue_id
    )
FROM
    workflow AS w
LEFT JOIN engineers AS e ON (w.engineer_id = e.id)
LEFT JOIN issues AS i ON (w.issue_id = i.id)
LEFT JOIN customers AS c ON (i.customer_id = c.id)
GROUP BY
    w.engineer_id
ORDER BY
    engineer_name

结果:

Percona 教程:MySQL GROUP_CONCAT 的使用

例 2)查询出每个客户的问题对应解决的工程师列表:

SELECT
    c.company_name,
    GROUP_CONCAT(content)
FROM
    (
        SELECT
            w.issue_id,
            CONCAT(
                w.issue_id,
                ‘(‘,
                GROUP_CONCAT(
                    CONCAT(e.e_name, ‘ ‘, e.e_surname)
                ),
                ‘)’
            ) AS content
        FROM
            workflow AS w
        LEFT JOIN engineers AS e ON (w.engineer_id = e.id)
        GROUP BY
            w.issue_id
    ) AS t
LEFT JOIN issues AS i ON (t.issue_id = i.id)
LEFT JOIN customers AS c ON (i.customer_id = c.id)
GROUP BY
    c.company_name

结果:

Percona 教程:MySQL GROUP_CONCAT 的使用

本文永久更新链接地址 :http://www.linuxidc.com/Linux/2016-10/136461.htm

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