我将代码转换为安德鲁斯解决方案:
SELECT s1.biz_name, s1.biz_info, s1.e_address, s1.e_city, s1.e_state,
s1.e_postal, s1.e_zip_full, s1.loc_LAT_centroid, s1.loc_LONG_centroid,
s1.biz_phone, s1.biz_phone_ext, s1.biz_fax, s1.biz_email, s1.web_url,
s2.upc as upc2, s2.retailprice as retailprice2, s2.dollar_sales as
dollar_sales2, s2.dollar_sales_ly as dollar_sales_ly2, s2.todaydate as
todaydate2, s2.datetimesql as datetimesql2, s2.shelfposition as
shelfposition2, s2.reg_sale as reg_sale2, s2.representative as
representative2, s2.notes as notes2, s3.upc as upc3, s3.retailprice as
retailprice3, s3.dollar_sales as dollar_sales3, s3.dollar_sales_ly as
dollar_sales_ly3, s3.todaydate as todaydate3, s3.datetimesql as
datetimesql3, s3.shelfposition as shelfposition3, s3.reg_sale as reg_sale3,
s3.representative as representative3, s3.notes as notes3, s4.upc as upc4,
s4.retailprice as retailprice4, s4.dollar_sales as dollar_sales4,
s4.dollar_sales_ly as dollar_sales_ly4, s4.todaydate as todaydate4,
s4.datetimesql as datetimesql4, s4.shelfposition as shelfposition4,
s4.reg_sale as reg_sale4, s4.representative as representative4, s4.notes as
notes4, s5.upc as upc5, s5.retailprice as retailprice5, s5.dollar_sales as
dollar_sales5, s5.dollar_sales_ly as dollar_sales_ly5, s5.todaydate as
todaydate5, s5.datetimesql as datetimesql5, s5.shelfposition as
shelfposition5, s5.reg_sale as reg_sale5, s5.representative as
representative5, s5.notes as notes5
FROM allStores AS s1
LEFT OUTER JOIN storeCheckRecords AS s2
ON s1.e_address = s2.e_address AND s2.upc = '650637119004'
LEFT OUTER JOIN storeCheckRecords AS s3
ON s1.e_address = s3.e_address AND s3.upc = '650637119011'
LEFT OUTER JOIN storeCheckRecords AS s4
ON s1.e_address = s4.e_address AND s4.upc = '650637374007'
LEFT OUTER JOIN storeCheckRecords AS s5
ON s1.e_address = s5.e_address AND s5.upc = '650637374014'
WHERE s2.e_address IS NOT NULL
OR s3.e_address IS NOT NULL
OR s4.e_address IS NOT NULL
OR s5.e_address IS NOT NULL
以下是新错误:查询无效:表太多; MySQL只能在连接中使用61个表
还有其他想法吗?谢谢你的帮助。
答案 0 :(得分:1)
可能与此有关 MySQL bug #41156, List of derived tables acts like a chain of mutually-nested subqueries
错误日志表明它已针对MySQL 5.0.72,5.1.30和6.0.7进行了验证 修复了MySQL 5.1.37,MySQL 5.4.2(变为5.5.something)和NDB 7.1.0。
关于上述问题中重新设计的查询:
Pivot查询可能很棘手。您可以使用Andrew在his answer中建议的方法。如果搜索许多UPC值,则需要编写应用程序代码来构建SQL查询,并附加与您要搜索的UPC值数一样多的JOIN子句。
MySQL确实对单个查询中可以完成的联接数量有限制,但是您应该没有达到限制的示例。也就是说,您显示的查询确实有效。
我假设您正在显示搜索四个UPC代码的示例查询,而您的应用可能会为更多数量的UPC代码动态构建查询,有时可能超过61个。
您的查询的目标似乎是返回至少包含一个列出的UPC代码的商店。您可以在以下查询中更简单地执行此操作:
SELECT DISTINCT s.*
FROM allStores AS s
JOIN storeCheckRecords AS cr
ON s.e_address = cr.e_address
AND cr.upc IN ('650637119004','650637119011','650637374007','650637374014');
您可以通过其他方式使用此方法,例如查找包含所有四个UPC的商店:
SELECT s.*
FROM allStores AS s
JOIN storeCheckRecords AS cr
ON s.e_address = cr.e_address
AND cr.upc IN ('650637119004','650637119011','650637374007','650637374014');
GROUP BY s.e_address
HAVING COUNT(DISTINCT upc) = 4;
或者找到一些但不是全部四个UPC的商店:
SELECT s.*
FROM allStores AS s
JOIN storeCheckRecords AS cr
ON s.e_address = cr.e_address
AND cr.upc IN ('650637119004','650637119011','650637374007','650637374014');
GROUP BY s.e_address
HAVING COUNT(DISTINCT upc) < 4;
或者找到缺少所有四个UPC的商店:
SELECT s.*
FROM allStores AS s
JOIN storeCheckRecords AS cr
ON s.e_address = cr.e_address
AND cr.upc IN ('650637119004','650637119011','650637374007','650637374014');
WHERE cr.e_address IS NULL;
您仍然需要编写一些代码来构建此查询,但它更容易实现,并且它不会超出您可以运行的连接数或子查询数的任何限制。
答案 1 :(得分:0)
这可以在不使用子查询的情况下为您提供相同的结果:
SELECT s1.biz_name,
...
s2.upc AS upc2,
...
s3.upc AS upc3,
...
s4.upc AS upc4,
...
s5.upc AS upc5,
...
FROM allStores AS s1
LEFT OUTER JOIN storeCheckRecords AS s2 ON s1.e_address = s2.e_address
LEFT OUTER JOIN storeCheckRecords AS s3 ON s1.e_address = s3.e_address
LEFT OUTER JOIN storeCheckRecords AS s4 ON s1.e_address = s4.e_address
LEFT OUTER JOIN storeCheckRecords AS s5 ON s1.e_address = s5.e_address
WHERE (s2.e_address IS NOT NULL
OR s3.e_address IS NOT NULL
OR s4.e_address IS NOT NULL
OR s5.e_address IS NOT NULL)
AND (s2.upc = '650637119004' OR s2.upc IS NULL)
AND (s3.upc = '650637119011' OR s3.upc IS NULL)
AND (s4.upc = '650637374007' OR s4.upc IS NULL)
AND (s5.upc = '650637374014' OR s5.upc IS NULL)
答案 2 :(得分:0)
我会简化为首先使用简单的WHERE IN子句获取所有元素...您似乎正在执行数据透视表以显示T1到T2到T3到T4到T5。如果您获得单个行中的所有数据,那么您可以在顶部显示STATIC列,显示每行下方的详细信息。
SELECT
t1.brand,
t1.biz_name,
t1.biz_info,
t1.e_address,
t1.e_city,
t1.e_state,
t1.e_postal,
t1.e_zip_full,
t1.loc_LAT_centroid,
t1.loc_LONG_centroid,
t1.biz_phone,
t1.biz_phone_ext,
t1.biz_fax,
t1.biz_email,
t1.web_url,
t1.upc,
t1.retailprice,
t1.dollar_sales,
t1.dollar_sales_ly,
t1.todaydate,
t1.datetimesql,
t1.shelfposition,
t1.reg_sale,
t1.representative,
t1.notes
FROM
storeCheckRecords as t1
WHERE
t1.upc IN ( '650637119004', '650637119011', '650637374007', '650637374014')
如..
Brand Bus Addr UPC Retail$ Sales Notes
xyz Bus Name UPC ... etc... Cur Yr
Bus Info Shelf Info Last Yr
Address, (Cit/State/Zip)
Lat / Long
Phone / Fax
Email / Web
----
Next Entry
与携带物品的人相反,完全相同的地址是否真的很重要?如果一个条目是“123 Main St”,另一个是“123B Main St”和“123 Main St - Suite B”,你将找不到匹配。
此外,你提到一些有多达75个UPC代码...将它们放在一个单独的表中并将其用作第一个连接到“StoreCheckRecords”的表并将它们全部...而不是手动键入所有列后缀为2到75 ......或者下一次运行中只有17个,而另外4个......我认为你可能已经太固定了你想要从数据中得到的东西了。
你甚至可以通过常见的“e_address”进行GROUP,你最初想要基于的匹配,并将该组作为报告给用户的部分之间的中断提供。