如何在单个选择查询中创建多个选择查询。

时间:2012-06-28 07:22:39

标签: mysql sql mysqli mysqldump

我必须写一个查询,我需要上周,上个月和所有人获取记录。 对于这个问题,我写了3个不同的查询(上周,上个月和所有)

每周信息: -

SELECT bu.brand_name AS 'Brand_Name',COUNT(s.unique) AS '# Item Sold',SUM(s.price) AS 'Total_Price'
FROM item_details s
LEFT JOIN sales_order o ON s.fk_sales_order = o.id_sales_order 
LEFT JOIN customer_info AS c ON o.fk_customer_id = c.id_customer
LEFT JOIN simple_details cc ON s.unique = cc.unique
LEFT JOIN config_details  cf ON cc.fk_config_id = cf.config_id 
LEFT JOIN brand_details  cb ON cf.fk_brand_id = cb.brand_id 
LEFT JOIN category_details  ctc ON cf.fk_category_id = ctc.category_id 
LEFT JOIN gender_details  g ON cf.fk_gender_id = g.gender_id
LEFT JOIN buyers AS bu  ON bu.brand_name =  cb.name AND bu.category_name = ctc.name AND bu.gender = g.name
WHERE  bu.buyers = 'xyz'  AND DATE_FORMAT(o.created_date,'%Y-%m-%d') >= @weekstartdate AND  DATE_FORMAT(o.created_date,'%Y-%m-%d') <= @weekenddate
GROUP BY bu.brand_name

每月信息: -

SELECT bu.brand_name AS 'Brand_Name',COUNT(s.unique) AS '# Item Sold',SUM(s.price) AS 'Total_Price'
FROM item_details s
LEFT JOIN sales_order o ON s.fk_sales_order = o.id_sales_order 
LEFT JOIN customer_info AS c ON o.fk_customer_id = c.id_customer
LEFT JOIN simple_details cc ON s.unique = cc.unique
LEFT JOIN config_details  cf ON cc.fk_config_id = cf.config_id 
LEFT JOIN brand_details  cb ON cf.fk_brand_id = cb.brand_id 
LEFT JOIN category_details  ctc ON cf.fk_category_id = ctc.category_id 
LEFT JOIN gender_details  g ON cf.fk_gender_id = g.gender_id
LEFT JOIN buyers AS bu  ON bu.brand_name =  cb.name AND bu.category_name = ctc.name AND bu.gender = g.name
WHERE  bu.buyers = 'xyz'  AND DATE_FORMAT(o.created_date,'%Y-%m-%d') >= @monthstartdate AND  DATE_FORMAT(o.created_date,'%Y-%m-%d') <= @monthenddate
GROUP BY bu.brand_name

对于所有记录: -

SELECT bu.brand_name AS 'Brand_Name',COUNT(s.unique) AS '# Item Sold',SUM(s.price) AS 'Total_Price'
FROM item_details s
LEFT JOIN sales_order o ON s.fk_sales_order = o.id_sales_order 
LEFT JOIN customer_info AS c ON o.fk_customer_id = c.id_customer
LEFT JOIN simple_details cc ON s.unique = cc.unique
LEFT JOIN config_details  cf ON cc.fk_config_id = cf.config_id 
LEFT JOIN brand_details  cb ON cf.fk_brand_id = cb.brand_id 
LEFT JOIN category_details  ctc ON cf.fk_category_id = ctc.category_id 
LEFT JOIN gender_details  g ON cf.fk_gender_id = g.gender_id
LEFT JOIN buyers AS bu  ON bu.brand_name =  cb.name AND bu.category_name = ctc.name AND bu.gender = g.name
WHERE  bu.buyers = 'xyz'  
GROUP BY bu.brand_name

这些工作正常(给出当前输出)。 但问题是,我必须将这三个查询合并为一个。 输出应该是 品牌名称,item_sold(周),total_price(周),item_sold(月),total_price(月),item_sold(全部),total_price(全部) 我该如何撰写此查询?

4 个答案:

答案 0 :(得分:3)

如果不深入研究代码,显而易见的解决方案就是

SELECT
    all.brand_name
    pw.items_sold items_sold_week
    pw.total_price total_price_week
    pm.items_sold items_sold_month
    pm.total_price total_price_month
    all.items_sold items_sold_all
    all.total_price total_price_all
FROM
    (your all-time select) all
    JOIN (your per-month select) pm ON all.brand_name = pm.brand_name
    JOIN (your per-week select) pw ON all.brand_name = pw.brand_name

虽然您可能应该重新考虑整个方法,并确保您是否真的想在数据库层中使用这种逻辑,或者最好是在您的应用程序中。

答案 1 :(得分:2)

您可以使用case将聚合限制为行的子集:

select  bu.brand_name
,       count(case when date_format(o.created_date,'%Y-%m-%d') >= @weekstartdate
             and date_format(o.created_date,'%Y-%m-%d') <= @weekenddate 
             then 1 end) as '# Item Sold Week'
,       sum(case when date_format(o.created_date,'%Y-%m-%d') >= @weekstartdate
             and date_format(o.created_date,'%Y-%m-%d') <= @weekenddate 
             then s.price end) as 'Total_Price Week'
,       count(case when date_format(o.created_date,'%Y-%m-%d') >= @monthstartdate
             and date_format(o.created_date,'%Y-%m-%d') <= @monthstartdate
             then 1 end) as '# Item Sold Month'
,       ...

答案 2 :(得分:1)

如果所有三个选择在结果中使用相同的字段,则可以UNION它们:

SELECT * 
   FROM  (SELECT 1) AS a
   UNION (SELECT 2) AS b
   UNION (SELECT 3) AS c

如果你需要告诉彼此的周/周/所有记录 - 只需添加包含“周”或“周一”的常量字段

答案 3 :(得分:0)

您可以使用查询之间的UNION.keyword将它们捆绑在一起。但是所有查询中的列类型和顺序必须相同。您可以为每个集添加标识符

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