SQL查询中使用LIKE与CONCAT结合的方法

在SQL查询中，有时需要根据部分匹配或动态生成的字符串条件来筛选数据。下面的示例展示了如何使用LIKE和CONCAT函数来实现这一需求，并同时处理多个表之间的联接和数据聚合。

以下是具体的SQL语句：

SELECT
    (@i := @i + 1) AS number,
    x.uuid,
    x.payment_code,
    x.supplier_name,
    x.receive_money,
    x.is_export_flag,
    x.export_time,
    x.payer,
    x.region_name,
    x.user_name,
    x.marketer_id,
    x.region_id
FROM
    (
        SELECT DISTINCT
            a.uuid,
            a.payment_code,
            a.supplier_name,
            a.receive_money,
            CASE 
                WHEN a.is_export_flag = 0 THEN '未导出'
                ELSE '已导出'
            END AS is_export_flag,
            a.export_time,
            b.payer,
            d.region_name,
            GROUP_CONCAT(DISTINCT f.user_name SEPARATOR ', ') AS user_name,
            e.marketer_id,
            d.uuid AS region_id
        FROM
            biz_lc_payment_info a
        INNER JOIN biz_lc_payment_invoice_info b ON a.payment_id = b.payment_id
        LEFT JOIN biz_item_company c ON b.payer = c.item_company_name AND c.sys_status = 1
        LEFT JOIN biz_item_region d ON c.region_id = d.uuid AND d.sys_status = 1
        LEFT JOIN biz_link_marketer_region e ON e.region_id = d.uuid AND d.sys_status = 1
        LEFT JOIN sys_user f ON e.marketer_id LIKE CONCAT('%', f.uuid, '%') AND f.sys_status = 1
        WHERE
            a.sys_status = 1
            AND b.sys_status = 1
        GROUP BY
            a.uuid
    ) x,
    (SELECT @i := 0) AS y
WHERE
    x.is_export_flag = '已导出'

上述SQL查询首先通过子查询从多个表中选择和聚合所需的数据，然后在外层查询中为每条记录添加一个行号（number）。子查询中的GROUP_CONCAT函数用于将多个用户的名称合并成一个字符串，而LIKE与CONCAT的结合则用于灵活地匹配marketer_id字段中的部分值。最后，外层查询还通过WHERE子句过滤了已导出的数据。