Mysql 同一查询多个变量的方式不同，结果速度也不同_Mysql

Mysql 同一查询多个变量的方式不同，结果速度也不同

mysql

Mysql 同一查询多个变量的方式不同，结果速度也不同,mysql,Mysql,我试图理解为什么在更改变量大小时查询失败此查询在不到一秒钟的时间内运行： 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

我试图理解为什么在更改变量大小时查询失败

此查询在不到一秒钟的时间内运行：

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

此查询永远不会完成：

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 
,s6.upc AS upc6,s6.retailprice AS retailprice6,s6.dollar_sales AS dollar_sales6, 
s6.dollar_sales_ly AS dollar_sales_ly6,s6.todaydate AS todaydate6, 
s6.datetimesql AS datetimesql6,s6.shelfposition AS shelfposition6, 
s6.reg_sale AS reg_sale6,s6.representative AS representative6,s6.notes AS notes6 
,s7.upc AS upc7,s7.retailprice AS retailprice7,s7.dollar_sales AS dollar_sales7, 
s7.dollar_sales_ly AS dollar_sales_ly7,s7.todaydate AS todaydate7, 
s7.datetimesql AS datetimesql7,s7.shelfposition AS shelfposition7, 
s7.reg_sale AS reg_sale7,s7.representative AS representative7,s7.notes AS notes7 
,s8.upc AS upc8,s8.retailprice AS retailprice8,s8.dollar_sales AS dollar_sales8, 
s8.dollar_sales_ly AS dollar_sales_ly8,s8.todaydate AS todaydate8, 
s8.datetimesql AS datetimesql8,s8.shelfposition AS shelfposition8, 
s8.reg_sale AS reg_sale8,s8.representative AS representative8,s8.notes AS notes8 
,s9.upc AS upc9,s9.retailprice AS retailprice9,s9.dollar_sales AS dollar_sales9, 
s9.dollar_sales_ly AS dollar_sales_ly9,s9.todaydate AS todaydate9, 
s9.datetimesql AS datetimesql9,s9.shelfposition AS shelfposition9, 
s9.reg_sale AS reg_sale9,s9.representative AS representative9,s9.notes AS notes9 
,s10.upc AS upc10,s10.retailprice AS retailprice10, 
s10.dollar_sales AS dollar_sales10,s10.dollar_sales_ly AS 
dollar_sales_ly10,s10.todaydate AS todaydate10,s10.datetimesql AS 
datetimesql10,s10.shelfposition AS shelfposition10,s10.reg_sale AS reg_sale10, 
s10.representative AS representative10,s10.notes AS notes10,s11.upc AS 
upc11,s11.retailprice AS retailprice11,s11.dollar_sales AS dollar_sales11, 
s11.dollar_sales_ly AS dollar_sales_ly11,s11.todaydate AS 
todaydate11,s11.datetimesql AS datetimesql11, 
s11.shelfposition AS shelfposition11, 
s11.reg_sale AS reg_sale11,s11.representative AS representative11, 
s11.notes AS notes11,s12.upc AS upc12,s12.retailprice AS 
retailprice12,s12.dollar_sales AS dollar_sales12,s12.dollar_sales_ly AS 
dollar_sales_ly12,s12.todaydate AS todaydate12,s12.datetimesql AS 
datetimesql12,s12.shelfposition AS shelfposition12,s12.reg_sale AS reg_sale12, 
s12.representative AS representative12,s12.notes AS notes12,s13.upc AS 
upc13,s13.retailprice AS retailprice13,s13.dollar_sales AS dollar_sales13, 
s13.dollar_sales_ly AS dollar_sales_ly13,s13.todaydate AS 
todaydate13,s13.datetimesql AS datetimesql13, 
s13.shelfposition AS shelfposition13, 
s13.reg_sale AS reg_sale13,s13.representative AS representative13, 
s13.notes AS notes13,s14.upc AS upc14,s14.retailprice AS 
retailprice14,s14.dollar_sales AS dollar_sales14,s14.dollar_sales_ly AS 
dollar_sales_ly14,s14.todaydate AS todaydate14,s14.datetimesql AS 
datetimesql14,s14.shelfposition AS shelfposition14,s14.reg_sale AS reg_sale14, 
s14.representative AS representative14,s14.notes AS notes14,s15.upc AS 
upc15,s15.retailprice AS retailprice15,s15.dollar_sales AS dollar_sales15, 
s15.dollar_sales_ly AS dollar_sales_ly15,s15.todaydate AS 
todaydate15,s15.datetimesql AS datetimesql15, 
s15.shelfposition AS shelfposition15, 
s15.reg_sale AS reg_sale15,s15.representative AS representative15, 
s15.notes AS notes15,s16.upc AS upc16,s16.retailprice AS 
retailprice16,s16.dollar_sales AS dollar_sales16,s16.dollar_sales_ly AS 
dollar_sales_ly16,s16.todaydate AS todaydate16,s16.datetimesql AS 
datetimesql16,s16.shelfposition AS shelfposition16,s16.reg_sale AS reg_sale16, 
s16.representative AS representative16,s16.notes AS notes16,s17.upc AS 
upc17,s17.retailprice AS retailprice17,s17.dollar_sales AS dollar_sales17, 
s17.dollar_sales_ly AS dollar_sales_ly17,s17.todaydate AS 
todaydate17,s17.datetimesql AS datetimesql17, 
s17.shelfposition AS shelfposition17, 
s17.reg_sale AS reg_sale17,s17.representative AS representative17, 
s17.notes AS notes17 
FROM   allstores AS s1 
       LEFT OUTER JOIN storecheckrecords AS s2 
         ON s1.e_address = s2.e_address 
            AND s2.upc = '075172039394' 
       LEFT OUTER JOIN storecheckrecords AS s3 
         ON s1.e_address = s3.e_address 
            AND s3.upc = '075172071622' 
       LEFT OUTER JOIN storecheckrecords AS s4 
         ON s1.e_address = s4.e_address 
            AND s4.upc = '075172071639' 
       LEFT OUTER JOIN storecheckrecords AS s5 
         ON s1.e_address = s5.e_address 
            AND s5.upc = '075172071677' 
       LEFT OUTER JOIN storecheckrecords AS s6 
         ON s1.e_address = s6.e_address 
            AND s6.upc = '075172071684' 
       LEFT OUTER JOIN storecheckrecords AS s7 
         ON s1.e_address = s7.e_address 
            AND s7.upc = '075172071691' 
       LEFT OUTER JOIN storecheckrecords AS s8 
         ON s1.e_address = s8.e_address 
            AND s8.upc = '075172079130' 
       LEFT OUTER JOIN storecheckrecords AS s9 
         ON s1.e_address = s9.e_address 
            AND s9.upc = '075172079147' 
       LEFT OUTER JOIN storecheckrecords AS s10 
         ON s1.e_address = s10.e_address 
            AND s10.upc = '075172079154' 
       LEFT OUTER JOIN storecheckrecords AS s11 
         ON s1.e_address = s11.e_address 
            AND s11.upc = '075172079307' 
       LEFT OUTER JOIN storecheckrecords AS s12 
         ON s1.e_address = s12.e_address 
            AND s12.upc = '075172079369' 
       LEFT OUTER JOIN storecheckrecords AS s13 
         ON s1.e_address = s13.e_address 
            AND s13.upc = '075172079468' 
       LEFT OUTER JOIN storecheckrecords AS s14 
         ON s1.e_address = s14.e_address 
            AND s14.upc = '075172079604' 
       LEFT OUTER JOIN storecheckrecords AS s15 
         ON s1.e_address = s15.e_address 
            AND s15.upc = '075172079618' 
       LEFT OUTER JOIN storecheckrecords AS s16 
         ON s1.e_address = s16.e_address 
            AND s16.upc = '075172079659' 
       LEFT OUTER JOIN storecheckrecords AS s17 
         ON s1.e_address = s17.e_address 
            AND s17.upc = '075172079697' 
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 
        OR s6.e_address IS NOT NULL 
        OR s7.e_address IS NOT NULL 
        OR s8.e_address IS NOT NULL 
        OR s9.e_address IS NOT NULL 
        OR s10.e_address IS NOT NULL 
        OR s11.e_address IS NOT NULL 
        OR s12.e_address IS NOT NULL 
        OR s13.e_address IS NOT NULL 
        OR s14.e_address IS NOT NULL 
        OR s15.e_address IS NOT NULL 
        OR s16.e_address IS NOT NULL 
        OR s17.e_address IS NOT NULL

e_地址已编入索引

有人能解释一下可能的问题吗？谢谢您的帮助。

让我为您稍微重新格式化一下，使问题变得更加明显：

....
FROM allStores AS s1
LEFT OUTER JOIN storeCheckRecords AS s2 ON s1.e_address = s2.e_address AND s2.upc = '075172039394'
LEFT OUTER JOIN storeCheckRecords AS s3 ON s1.e_address = s3.e_address AND s3.upc = '075172071622'
LEFT OUTER JOIN storeCheckRecords AS s4 ON s1.e_address = s4.e_address AND s4.upc = '075172071639'
LEFT OUTER JOIN storeCheckRecords AS s5 ON s1.e_address = s5.e_address AND s5.upc = '075172071677'
LEFT OUTER JOIN storeCheckRecords AS s6 ON s1.e_address = s6.e_address AND s6.upc = '075172071684'
LEFT OUTER JOIN storeCheckRecords AS s7 ON s1.e_address = s7.e_address AND s7.upc = '075172071691'
LEFT OUTER JOIN storeCheckRecords AS s8 ON s1.e_address = s8.e_address AND s8.upc = '075172079130'
LEFT OUTER JOIN storeCheckRecords AS s9 ON s1.e_address = s9.e_address AND s9.upc = '075172079147'
LEFT OUTER JOIN storeCheckRecords AS s10 ON s1.e_address = s10.e_address AND s10.upc = '075172079154'
LEFT OUTER JOIN storeCheckRecords AS s11 ON s1.e_address = s11.e_address AND s11.upc = '075172079307'
LEFT OUTER JOIN storeCheckRecords AS s12 ON s1.e_address = s12.e_address AND s12.upc = '075172079369'
LEFT OUTER JOIN storeCheckRecords AS s13 ON s1.e_address = s13.e_address AND s13.upc = '075172079468' 
etc...

天哪！这是一个很大的加入！当您添加更多“变量”时，运行速度会越来越慢，这并不奇怪。添加到查询中的每个UPC都需要再加入一次

我想你只需要在表达式中加入一个

。试着这样做：
SELECT
    s1.biz_name,
    s1.biz_info,
    s1.e_address,
    -- etc..
    s2.reg_sale, 
    s2.representative,
    s2.notes
FROM allStores AS s1
JOIN storeCheckRecords AS s2
ON s1.e_address = s2.e_address
WHERE s2.upc IN ('075172039394', '075172071622', ....)

这将以稍微不同的“形状”返回结果，因此您还需要对客户端代码进行一些更改。
让我稍微重新格式化一下，使问题更加明显：
....
FROM allStores AS s1
LEFT OUTER JOIN storeCheckRecords AS s2 ON s1.e_address = s2.e_address AND s2.upc = '075172039394'
LEFT OUTER JOIN storeCheckRecords AS s3 ON s1.e_address = s3.e_address AND s3.upc = '075172071622'
LEFT OUTER JOIN storeCheckRecords AS s4 ON s1.e_address = s4.e_address AND s4.upc = '075172071639'
LEFT OUTER JOIN storeCheckRecords AS s5 ON s1.e_address = s5.e_address AND s5.upc = '075172071677'
LEFT OUTER JOIN storeCheckRecords AS s6 ON s1.e_address = s6.e_address AND s6.upc = '075172071684'
LEFT OUTER JOIN storeCheckRecords AS s7 ON s1.e_address = s7.e_address AND s7.upc = '075172071691'
LEFT OUTER JOIN storeCheckRecords AS s8 ON s1.e_address = s8.e_address AND s8.upc = '075172079130'
LEFT OUTER JOIN storeCheckRecords AS s9 ON s1.e_address = s9.e_address AND s9.upc = '075172079147'
LEFT OUTER JOIN storeCheckRecords AS s10 ON s1.e_address = s10.e_address AND s10.upc = '075172079154'
LEFT OUTER JOIN storeCheckRecords AS s11 ON s1.e_address = s11.e_address AND s11.upc = '075172079307'
LEFT OUTER JOIN storeCheckRecords AS s12 ON s1.e_address = s12.e_address AND s12.upc = '075172079369'
LEFT OUTER JOIN storeCheckRecords AS s13 ON s1.e_address = s13.e_address AND s13.upc = '075172079468' 
etc...

天哪！这是一个很大的加入！当您添加更多“变量”时，运行速度会越来越慢，这并不奇怪。添加到查询中的每个UPC都需要再加入一次
我想你只需要在

表达式中加入一个

。试着这样做：
SELECT
    s1.biz_name,
    s1.biz_info,
    s1.e_address,
    -- etc..
    s2.reg_sale, 
    s2.representative,
    s2.notes
FROM allStores AS s1
JOIN storeCheckRecords AS s2
ON s1.e_address = s2.e_address
WHERE s2.upc IN ('075172039394', '075172071622', ....)

这将以稍微不同的“形状”返回结果，因此您还需要对客户端代码进行一些更改。
请编辑您的问题并添加一些换行符。您可以突出显示整个内容，然后按ctl-k将其作为代码块重新嵌入。我们其他人可以编辑，但老实说，这实在是太多的工作了。你能在问题中设置你的查询格式，使它们不都是一行长的，并且实际上是可读的吗？也许如果你编辑问题，以便更容易看到查询之间的差异，更多可能会有所帮助。目前它们都是一条很长的线，不容易阅读。@MrE哦……我以为你是用“手”格式化的：PDo你在upc
上有索引吗？或（upc，e_地址）
上的复合索引？请编辑您的问题并添加一些换行符。您可以突出显示整个内容，然后按ctl-k将其作为代码块重新嵌入。我们其他人可以编辑，但老实说，这实在是太多的工作了。你能在问题中设置你的查询格式，使它们不都是一行长的，并且实际上是可读的吗？也许如果你编辑问题，以便更容易看到查询之间的差异，更多可能会有所帮助。目前它们都是一条很长的线，不容易阅读。@MrE哦……我以为你是用“手”格式化的：PDo你在upc
上有索引吗？或者（upc，e_地址）
上的复合索引？我不能使用IN语句，因为我还有一个导出（csv）功能，需要水平列出每个upc的结果。我不想只确定哪些存储包含任何upc，还想确定该存储中有哪些upc？@user1184169：结果是水平输出还是垂直输出不应影响从数据库获取数据的方式。尝试将数据层与表示层分开。@user1184169:如果确实要继续使用当前使用的方法，应在编写索引时检查索引。请同时发布EXPLAIN SELECT…
的输出以供查询。感谢Mark对我的问题做了一些更改，如果有机会请查看。我不能使用IN语句，因为我还有一个导出（csv）功能，需要为每个upc水平列出结果。我不想只确定哪些存储包含任何upc，还想确定该存储中有哪些upc？@user1184169：结果是水平输出还是垂直输出不应影响从数据库获取数据的方式。尝试将数据层与表示层分开。@user1184169:如果确实要继续使用当前使用的方法，应在编写索引时检查索引。还请发布EXPLAIN SELECT…
的输出以供查询。感谢Mark对我的问题做了一些更改，如果有机会，请查看。