MySQL利用profile分析慢sql详解(group left join效率高于子查询)

使用profile来分析慢sql

mysql 的 sql 性能分析器主要用途是显示 sql 执行的整个过程中各项资源的使用情况。分析器可以更好的展示出不良 SQL 的性能问题所在。 最近遇到一个查询比较慢的sql语句,用了子查询,大概需要0.8秒左右,这个消耗时间比较长,严重影响了性能,所以需要进行优化。单独查询单表或者子查询记录都很快,下面来看看详细的介绍。

开启profile

mysql> show profiles; -- 查看是否开启
Empty set, 1 warning (0.00 sec)

mysql> set profiling=1; -- 开启profile
Query OK, 0 rows affected, 1 warning (0.00 sec)

mysql> show profiles;
Empty set, 1 warning (0.00 sec)

mysql> 

执行查询,方便profile跟踪记录

mysql> SELECT SQL_NO_CACHE
 ->     t1.amount,
 ->     t1.count,
 ->     t1.date ,
 ->     (SELECT (CONCAT(t2.APPROVE_ID,'|' ,t2.PATH)) AS RECEIPT FROM TB_BIS_MERCHANT_SETTLEMENT t2 WHERE t2.`MERCHANT_ID` = t1.`MERCHANT_ID` AND t2.`DATE`=t1.DATE AND t2.APPROVE_STATUS=5) AS receipts
 ->    FROM
 ->     TB_BIS_MERCHANT_TURNOVER t1
 ->    WHERE t1.MERCHANT_ID='64884DE062BC11E682B00017FA000202'
 ->         ORDER BY t1.date DESC
 ->
 -> LIMIT 0,100;
+-----------+-------+----------+------------------------------------------------------------------------------------------------------------+
| amount | count | date  | receipts                         |
+-----------+-------+----------+------------------------------------------------------------------------------------------------------------+
| 15800.00 |  1 | 20170105 | 0DDFD555F93B45BEB0905B1E6DE89D29|http://testxxx.cn/group1/M00/00/49/CvkBIlhu-yqABqmAABYR7dHOmno819.jpg |
| 1245.00 |  1 | 20170104 | 0DDFD555F93B45BEB0905B1E6DE89D29|http://testxxx.cn/group1/M00/00/4F/CvkBIVhtpSeAI_YHAADNjq7TPq8244.jpg |
| 14766.00 |  4 | 20170103 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/45/CvkBIlhrrf6AQ5uIAAEobJv68FU398.jpg |
| 32449.00 |  2 | 20170102 | 0DDFD555F93B45BEB0905B1E6DE89D29|http://testxxx.cn/group1/M00/00/4C/CvkBIVhrDguAfaMIABjKB9uvu04477.jpg |
| 37246.00 |  5 | 20170101 | 0DDFD555F93B45BEB0905B1E6DE89D29|http://testxxx.cn/group1/M00/00/4A/CvkBIVhpCnGASEyLAAEu6l9SI0o812.jpg |
| 105094.00 |  2 | 20161231 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/49/CvkBIVhnwp-ALIvWAAEAaGPayjg732.jpg |
| 88032.00 |  3 | 20161230 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/47/CvkBIVhmaqSAHcEZAAFAyS8Zx8Q067.jpg |
| 3845.00 |  1 | 20161229 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/3F/CvkBIlhl206AaS-FAAFMhvX8PYY578.jpg |
| 2118.00 |  4 | 20161228 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/3D/CvkBIlhjxhyAMOfhAAD8wUzTUUY855.jpg |
| 2980.00 |  1 | 20161227 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/3B/CvkBIlhicfCAFmwgAAE9ULPqEJ4030.jpg |
| 1080.00 |  1 | 20161226 | 667E240C44B4469892C261CE9243A8C3|http://testxxx.cn/group1/M00/00/42/CvkBIVhhy6iAMm8tAAFHOT5zBiM875.jpg |
| 2980.00 |  1 | 20161225 | 0DDFD555F93B45BEB0905B1E6DE89D29|http://testxxx.cn/group1/M00/00/40/CvkBIVhfzCWAdw2LAAFpDXmwio4327.jpg |
| 10201.00 |  1 | 20161224 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/38/CvkBIlhfJfKAIoBiAADqgbF1pBo054.jpg |
| 3003.00 |  4 | 20161223 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/3D/CvkBIVhdMHeAQi8cAAGAOQTgxLo422.jpg |
| 2698.00 |  1 | 20161222 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/3C/CvkBIVhb2U2AXWRuAAEc4LIr2nc172.jpg |
| 990.00 |  1 | 20161221 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/3B/CvkBIVhbM6aAGMQAAAEQ9ptn0FU333.jpg |
| 1427.00 |  1 | 20161220 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/31/CvkBIlhZNJqAAsvWAAGuJ6g1pyU541.jpg |
| 2465.00 |  1 | 20161219 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/30/CvkBIlhX4_mAfn-SAAEptH1Fyp8152.jpg |
| 2360.00 |  1 | 20161218 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/2F/CvkBIlhWl_-AclhbAAGLv79hoh8428.jpg |
| 3998.00 |  1 | 20161217 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/35/CvkBIVhVSLGAFct_AAFQRetyWnc285.jpg |
|  0.00 |  0 | 20161216 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/2D/CvkBIlhU8g-AXywcAAGn1gdsQQc959.jpg |
|  0.00 |  0 | 20161215 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/2A/CvkBIlhSmryAZXITAG-zN3WQv4c789.jpg |
| 9900.00 |  1 | 20161214 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/31/CvkBIVhRTrOALwG6AAE_csC3lvk695.jpg |
| 4320.00 |  1 | 20161213 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/28/CvkBIlhQrzCAfApEAAFKbHqkH3w634.jpg |
| 8760.00 |  2 | 20161212 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/26/CvkBIlhOqjeAO1BdAAGHdajOU2E697.jpg |
| 213335.00 |  4 | 20161211 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/2D/CvkBIVhNYQSAfxXgAAHZL9a8Nrs596.jpg |
| 47104.00 |  5 | 20161210 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/2C/CvkBIVhMsPSAAnrAAAETxX9fCuw946.jpg |
| 6100.00 |  1 | 20161209 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/23/CvkBIlhLfXOAClJVAAFmuoqBI5o264.jpg |
| 13515.00 |  2 | 20161208 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/21/CvkBIlhJZ06AbuaNAAGg7Bz3OsA569.jpg |
| 26769.00 |  4 | 20161207 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/20/CvkBIlhIGgeAdNxuAAETxX9fCuw408.jpg |
|  0.00 |  0 | 20161206 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/1E/CvkBIlhGxAuAfQr8AAFatVZ2sFk337.jpg |
|  0.00 |  0 | 20161205 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/1D/CvkBIlhGKy-AU9guAAGm4jFhmoU601.jpg |
| 20000.00 |  3 | 20161204 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/23/CvkBIVhEIDGAMPuIAAH6chL6Wo8684.jpg |
| 20275.00 |  4 | 20161203 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/21/CvkBIVhCyrSAE-uGAAGf0CWFbZM991.jpg |
| 3988.00 |  1 | 20161202 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/19/CvkBIlhCI7mAUN_9AAIsSLMhcns351.jpg |
| 4460.00 |  1 | 20161201 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/17/CvkBIlhAKwmACroNAAGpJUqVqIA247.jpg |
| 10498.00 |  2 | 20161130 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/16/CvkBIlg-3euAbsd5AAGr-r7GCH0254.jpg |
| 11080.00 |  2 | 20161129 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/1C/CvkBIVg9i6WAD4Z0AAHLB1yISaQ864.jpg |
| 6100.00 |  1 | 20161128 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/1B/CvkBIVg8OHGABTZOAAG1ZWoLoXY932.jpg |
| 5580.00 |  1 | 20161127 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/19/CvkBIVg65aKAcRWWAAFnaqaodKs660.jpg |
| 32630.00 |  2 | 20161126 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/18/CvkBIVg5kveALns0AAHLB1yISaQ850.jpg |
| 9800.00 |  1 | 20161125 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/17/CvkBIVg4Qg2AMqoNAAH--He3hsg726.jpg |
| 32500.00 |  2 | 20161124 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/16/CvkBIVg27_OAAV5OAAE8vRiZWHs684.jpg |
| 2700.00 |  1 | 20161123 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/0E/CvkBIlg2T4OAL3t5AAFsAWaUI98731.jpg |
| 4580.00 |  1 | 20161122 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/14/CvkBIVg0-UeAFDr_AAIBY_LNIxs656.jpg |
| 14120.00 |  1 | 20161121 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/0B/CvkBIlgy_EeAaPdBAAHeyO5nxeo952.jpg |
| 41510.00 |  2 | 20161120 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/12/CvkBIVgyYRKAZKi3AAGEp_IGjVM389.jpg |
| 7800.00 |  2 | 20161118 | C91D5E7905BA44C8A14045C9C228157F|http://testxxx.cn/group1/M00/00/09/CvkBIlgw_viAFHiPAAH0MZwoiCE530.jpg |
+-----------+-------+----------+------------------------------------------------------------------------------------------------------------+
48 rows in set (0.75 sec)

mysql> 

查看当前的profile记录,主要获得Query_ID值

mysql> show profiles;
+----------+------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Query_ID | Duration | Query                                                                          |
+----------+------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|  1 | 0.00009250 | show warning                                                                         |
|  2 | 0.00013125 | show warnings                                                                        |
|  3 | 0.00014375 | set profiling=1                                                                        |
|  4 | 0.75458525 | SELECT SQL_NO_CACHE
    t1.amount,
    t1.count,
    t1.date ,
     (SELECT (CONCAT(t2.APPROVE_ID,'|' ,t2.PATH)) AS RECEIPT FROM TB_BIS_MERCHANT_SETTLEMENT t2 WHERE t2.`MERCHANT_ID` = t1.`MERCHANT_ID` AND t2.`DATE`=t1.DATE AND t2.APPROVE_STATUS=5) AS r |
+----------+------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
4 rows in set, 1 warning (0.00 sec)

mysql>

查看刚才执行的Query_ID为4的跟踪记录

mysql> show profile for query 4;
+--------------------+----------+
| Status    | Duration |
+--------------------+----------+
| executing   | 0.000017 |
| Sending data  | 0.018048 |
| executing   | 0.000028 |
| Sending data  | 0.018125 |
| executing   | 0.000022 |
| Sending data  | 0.015749 |
| executing   | 0.000017 |
| Sending data  | 0.015633 |
| executing   | 0.000017 |
| Sending data  | 0.015382 |
| executing   | 0.000015 |
| Sending data  | 0.015707 |
| executing   | 0.000023 |
| Sending data  | 0.015890 |
| executing   | 0.000022 |
| Sending data  | 0.015908 |
| executing   | 0.000017 |
| Sending data  | 0.015761 |
| executing   | 0.000022 |
| Sending data  | 0.015542 |
| executing   | 0.000014 |
| Sending data  | 0.015561 |
| executing   | 0.000016 |
| Sending data  | 0.015546 |
| executing   | 0.000037 |
| Sending data  | 0.015555 |
| executing   | 0.000015 |
| Sending data  | 0.015779 |
| executing   | 0.000026 |
| Sending data  | 0.015815 |
| executing   | 0.000015 |
| Sending data  | 0.015468 |
| executing   | 0.000015 |
| Sending data  | 0.015457 |
| executing   | 0.000015 |
| Sending data  | 0.015457 |
| executing   | 0.000014 |
| Sending data  | 0.015500 |
| executing   | 0.000014 |
| Sending data  | 0.015557 |
| executing   | 0.000015 |
| Sending data  | 0.015537 |
| executing   | 0.000014 |
| Sending data  | 0.015395 |
| executing   | 0.000021 |
| Sending data  | 0.015416 |
| executing   | 0.000014 |
| Sending data  | 0.015416 |
| executing   | 0.000014 |
| Sending data  | 0.015399 |
| executing   | 0.000023 |
| Sending data  | 0.015407 |
| executing   | 0.000014 |
| Sending data  | 0.015585 |
| executing   | 0.000014 |
| Sending data  | 0.015385 |
| executing   | 0.000014 |
| Sending data  | 0.015412 |
| executing   | 0.000014 |
| Sending data  | 0.015408 |
| executing   | 0.000014 |
| Sending data  | 0.015753 |
| executing   | 0.000014 |
| Sending data  | 0.015376 |
| executing   | 0.000014 |
| Sending data  | 0.015416 |
| executing   | 0.000019 |
| Sending data  | 0.015368 |
| executing   | 0.000014 |
| Sending data  | 0.015481 |
| executing   | 0.000015 |
| Sending data  | 0.015619 |
| executing   | 0.000015 |
| Sending data  | 0.015662 |
| executing   | 0.000016 |
| Sending data  | 0.015574 |
| executing   | 0.000015 |
| Sending data  | 0.015566 |
| executing   | 0.000015 |
| Sending data  | 0.015488 |
| executing   | 0.000013 |
| Sending data  | 0.015493 |
| executing   | 0.000015 |
| Sending data  | 0.015386 |
| executing   | 0.000015 |
| Sending data  | 0.015485 |
| executing   | 0.000018 |
| Sending data  | 0.015760 |
| executing   | 0.000014 |
| Sending data  | 0.015386 |
| executing   | 0.000015 |
| Sending data  | 0.015418 |
| executing   | 0.000014 |
| Sending data  | 0.015458 |
| end    | 0.000016 |
| query end   | 0.000019 |
| closing tables  | 0.000018 |
| freeing items  | 0.000825 |
| logging slow query | 0.000067 |
| cleaning up  | 0.000025 |
+--------------------+----------+
100 rows in set, 1 warning (0.00 sec)

mysql> 

根据分析结果可以看到,有大量的Sending data消耗,而且是持续不断的,这样的可以判断为子查询导致的,所以在这个case里面,子查询不适合用,效率太低。 那该用什么来避免呢?

用group by + left join 改写

mysql> SELECT SQL_NO_CACHE DISTINCT
 ->     t1.amount,
 ->     t1.count,
 ->     t1.date, GROUP_CONCAT(CONCAT(t2.APPROVE_ID,'|' ,t2.PATH)) AS RECEIPT
 ->    FROM
 ->     TB_BIS_MERCHANT_TURNOVER t1 LEFT JOIN TB_BIS_MERCHANT_SETTLEMENT t2 ON t2.`MERCHANT_ID` = t1.`MERCHANT_ID` AND t2.`DATE`=t1.DATE AND t2.APPROVE_STATUS=5
 ->    WHERE t1.MERCHANT_ID='64884DE062BC11E682B00017FA000202'
 ->    GROUP BY t1.amount,
 ->     t1.count,
 ->     t1.date
 ->         ORDER BY t1.date DESC
 ->
 -> LIMIT 0,100;
+-----------+-------+----------+------------------------------------------------------------------------------------------------------------+
| amount | count | date  | RECEIPT                         |
+-----------+-------+----------+------------------------------------------------------------------------------------------------------------+
| 15800.00 |  1 | 20170105 | 0DDFD555F93B45BEB0905B1E6DE89D29|http://testxxx.cn/group1/M00/00/49/CvkBIlhu-yqABqmAABYR7dHOmno819.jpg |
| 1245.00 |  1 | 20170104 | 0DDFD555F93B45BEB0905B1E6DE89D29|http://testxxx.cn/group1/M00/00/4F/CvkBIVhtpSeAI_YHAADNjq7TPq8244.jpg |
| 14766.00 |  4 | 20170103 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/45/CvkBIlhrrf6AQ5uIAAEobJv68FU398.jpg |
| 32449.00 |  2 | 20170102 | 0DDFD555F93B45BEB0905B1E6DE89D29|http://testxxx.cn/group1/M00/00/4C/CvkBIVhrDguAfaMIABjKB9uvu04477.jpg |
| 37246.00 |  5 | 20170101 | 0DDFD555F93B45BEB0905B1E6DE89D29|http://testxxx.cn/group1/M00/00/4A/CvkBIVhpCnGASEyLAAEu6l9SI0o812.jpg |
| 105094.00 |  2 | 20161231 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/49/CvkBIVhnwp-ALIvWAAEAaGPayjg732.jpg |
| 88032.00 |  3 | 20161230 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/47/CvkBIVhmaqSAHcEZAAFAyS8Zx8Q067.jpg |
| 3845.00 |  1 | 20161229 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/3F/CvkBIlhl206AaS-FAAFMhvX8PYY578.jpg |
| 2118.00 |  4 | 20161228 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/3D/CvkBIlhjxhyAMOfhAAD8wUzTUUY855.jpg |
| 2980.00 |  1 | 20161227 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/3B/CvkBIlhicfCAFmwgAAE9ULPqEJ4030.jpg |
| 1080.00 |  1 | 20161226 | 667E240C44B4469892C261CE9243A8C3|http://testxxx.cn/group1/M00/00/42/CvkBIVhhy6iAMm8tAAFHOT5zBiM875.jpg |
| 2980.00 |  1 | 20161225 | 0DDFD555F93B45BEB0905B1E6DE89D29|http://testxxx.cn/group1/M00/00/40/CvkBIVhfzCWAdw2LAAFpDXmwio4327.jpg |
| 10201.00 |  1 | 20161224 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/38/CvkBIlhfJfKAIoBiAADqgbF1pBo054.jpg |
| 3003.00 |  4 | 20161223 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/3D/CvkBIVhdMHeAQi8cAAGAOQTgxLo422.jpg |
| 2698.00 |  1 | 20161222 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/3C/CvkBIVhb2U2AXWRuAAEc4LIr2nc172.jpg |
| 990.00 |  1 | 20161221 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/3B/CvkBIVhbM6aAGMQAAAEQ9ptn0FU333.jpg |
| 1427.00 |  1 | 20161220 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/31/CvkBIlhZNJqAAsvWAAGuJ6g1pyU541.jpg |
| 2465.00 |  1 | 20161219 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/30/CvkBIlhX4_mAfn-SAAEptH1Fyp8152.jpg |
| 2360.00 |  1 | 20161218 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/2F/CvkBIlhWl_-AclhbAAGLv79hoh8428.jpg |
| 3998.00 |  1 | 20161217 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/35/CvkBIVhVSLGAFct_AAFQRetyWnc285.jpg |
|  0.00 |  0 | 20161216 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/2D/CvkBIlhU8g-AXywcAAGn1gdsQQc959.jpg |
|  0.00 |  0 | 20161215 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/2A/CvkBIlhSmryAZXITAG-zN3WQv4c789.jpg |
| 9900.00 |  1 | 20161214 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/31/CvkBIVhRTrOALwG6AAE_csC3lvk695.jpg |
| 4320.00 |  1 | 20161213 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/28/CvkBIlhQrzCAfApEAAFKbHqkH3w634.jpg |
| 8760.00 |  2 | 20161212 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/26/CvkBIlhOqjeAO1BdAAGHdajOU2E697.jpg |
| 213335.00 |  4 | 20161211 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/2D/CvkBIVhNYQSAfxXgAAHZL9a8Nrs596.jpg |
| 47104.00 |  5 | 20161210 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/2C/CvkBIVhMsPSAAnrAAAETxX9fCuw946.jpg |
| 6100.00 |  1 | 20161209 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/23/CvkBIlhLfXOAClJVAAFmuoqBI5o264.jpg |
| 13515.00 |  2 | 20161208 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/21/CvkBIlhJZ06AbuaNAAGg7Bz3OsA569.jpg |
| 26769.00 |  4 | 20161207 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/20/CvkBIlhIGgeAdNxuAAETxX9fCuw408.jpg |
|  0.00 |  0 | 20161206 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/1E/CvkBIlhGxAuAfQr8AAFatVZ2sFk337.jpg |
|  0.00 |  0 | 20161205 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/1D/CvkBIlhGKy-AU9guAAGm4jFhmoU601.jpg |
| 20000.00 |  3 | 20161204 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/23/CvkBIVhEIDGAMPuIAAH6chL6Wo8684.jpg |
| 20275.00 |  4 | 20161203 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/21/CvkBIVhCyrSAE-uGAAGf0CWFbZM991.jpg |
| 3988.00 |  1 | 20161202 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/19/CvkBIlhCI7mAUN_9AAIsSLMhcns351.jpg |
| 4460.00 |  1 | 20161201 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/17/CvkBIlhAKwmACroNAAGpJUqVqIA247.jpg |
| 10498.00 |  2 | 20161130 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/16/CvkBIlg-3euAbsd5AAGr-r7GCH0254.jpg |
| 11080.00 |  2 | 20161129 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/1C/CvkBIVg9i6WAD4Z0AAHLB1yISaQ864.jpg |
| 6100.00 |  1 | 20161128 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/1B/CvkBIVg8OHGABTZOAAG1ZWoLoXY932.jpg |
| 5580.00 |  1 | 20161127 | 98FDB31FE4B04C21BC7EBE8A22981DA0|http://testxxx.cn/group1/M00/00/19/CvkBIVg65aKAcRWWAAFnaqaodKs660.jpg |
| 32630.00 |  2 | 20161126 | 2154FDCDA51A4257811F1EA886AACD14|http://testxxx.cn/group1/M00/00/18/CvkBIVg5kveALns0AAHLB1yISaQ850.jpg |
| 9800.00 |  1 | 20161125 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/17/CvkBIVg4Qg2AMqoNAAH--He3hsg726.jpg |
| 32500.00 |  2 | 20161124 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/16/CvkBIVg27_OAAV5OAAE8vRiZWHs684.jpg |
| 2700.00 |  1 | 20161123 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/0E/CvkBIlg2T4OAL3t5AAFsAWaUI98731.jpg |
| 4580.00 |  1 | 20161122 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/14/CvkBIVg0-UeAFDr_AAIBY_LNIxs656.jpg |
| 14120.00 |  1 | 20161121 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/0B/CvkBIlgy_EeAaPdBAAHeyO5nxeo952.jpg |
| 41510.00 |  2 | 20161120 | EC481757CFDB445092D16D6B616350C8|http://testxxx.cn/group1/M00/00/12/CvkBIVgyYRKAZKi3AAGEp_IGjVM389.jpg |
| 7800.00 |  2 | 20161118 | C91D5E7905BA44C8A14045C9C228157F|http://testxxx.cn/group1/M00/00/09/CvkBIlgw_viAFHiPAAH0MZwoiCE530.jpg |
+-----------+-------+----------+------------------------------------------------------------------------------------------------------------+
48 rows in set (0.15 sec)

mysql> 

可以看到,执行时间变成了0.15秒,提升了5倍的效率。再看profile的跟踪分析。

mysql> show profile for query 8;
+-------------------------------+----------+
| Status      | Duration |
+-------------------------------+----------+
| starting      | 0.000125 |
| checking permissions   | 0.000015 |
| checking permissions   | 0.000014 |
| Opening tables    | 0.000029 |
| init       | 0.000055 |
| System lock     | 0.000020 |
| Waiting for query cache lock | 0.000013 |
| System lock     | 0.000050 |
| optimizing     | 0.000023 |
| statistics     | 0.000087 |
| preparing      | 0.000066 |
| Creating tmp table   | 0.000062 |
| Creating tmp table   | 0.000028 |
| Sorting result    | 0.000016 |
| executing      | 0.000012 |
| Sending data     | 0.148283 |
| Creating sort index   | 0.000342 |
| Creating sort index   | 0.000223 |
| end       | 0.000015 |
| query end      | 0.000046 |
| removing tmp table   | 0.000017 |
| query end      | 0.000012 |
| removing tmp table   | 0.000062 |
| query end      | 0.000015 |
| closing tables    | 0.000017 |
| freeing items     | 0.000019 |
| removing tmp table   | 0.000025 |
| freeing items     | 0.000016 |
| Waiting for query cache lock | 0.000012 |
| freeing items     | 0.000915 |
| Waiting for query cache lock | 0.000015 |
| freeing items     | 0.000011 |
| storing result in query cache | 0.000013 |
| cleaning up     | 0.000024 |
+-------------------------------+----------+
34 rows in set, 1 warning (0.00 sec)

mysql> 

可以看到,只有一次| Sending data | 0.148283 |的消耗,所以效率提升很快。

扩展部分

SELECT
 NAME,
 VALUE
FROM
 v $ parameter
WHERE NAME IN (
 'pga_aggregate_target',
 'sga_target'
 )
UNION
SELECT
 'maximum PGA allocated' AS NAME,
 TO_CHAR (VALUE) AS VALUE
FROM
 v $ pgastat
WHERE NAME = 'maximum PGA allocated' ;
-- insert data
insert into t1 select 1,'a' from db1.t2;
call db1.proc_get_fints

总结

以上就是这篇文章的全部内容了,希望本文的内容对大家的学习或者工作能带来一定的帮助,如果有疑问大家可以留言交流,谢谢大家对我们的支持。

(0)

相关推荐

  • MySQL中使用or、in与union all在查询命令下的效率对比

    OR.in和union all 查询效率到底哪个快? 网上很多的声音都是说union all 快于 or.in,因为or.in会导致全表扫描,他们给出了很多的实例. 但真的union all真的快于or.in? EXPLAIN SELECT * from employees where employees.first_NAME ='Georgi' UNION ALL SELECT * from employees where employees.first_NAME ='Bezalel' 这条语

  • 浅谈mysql的子查询联合与in的效率

    最近的产品测试发现一个问题,当并发数量小于10时,响应时间可以维持在100毫秒以内.但是当并发数到达30个时,响应时间就超过1秒.这太不能接受了,要求是通过1秒中并发100个. 经过检测发现,时间主要是耗在其中的一个存储过程中.把存储过程的语句一条一条的过一遍也没有发现明显的不合理.因为mysql本身不能提供毫秒级别的时间,google了一个mysql的能提供毫秒的时间函数,再做测试,做了一个定位.发现是其中一条语句,语句是这个样子: select .... from A, B where ..

  • mysql not in、left join、IS NULL、NOT EXISTS 效率问题记录

    NOT IN.JOIN.IS NULL.NOT EXISTS效率对比 语句一:select count(*) from A where A.a not in (select a from B) 语句二:select count(*) from A left join B on A.a = B.a where B.a is null 语句三:select count(*) from A where not exists (select a from B where A.a = B.a) 知道以上三

  • 提高MySQL中InnoDB表BLOB列的存储效率的教程

    首先,介绍下关于InnoDB引擎存储格式的几个要点: 1.InnoDB可以选择使用共享表空间或者是独立表空间方式,建议使用独立表空间,便于管理.维护.启用 innodb_file_per_table 选项,5.5以后可以在线动态修改生效,并且执行 ALTER TABLE xx ENGINE = InnoDB 将现有表转成独立表空间,早于5.5的版本,修改完这个选项后,需要重启才能生效: 2.InnoDB的data page默认16KB,5.6版本以后,新增选项 innodb_page_size

  • MySQL利用profile分析慢sql详解(group left join效率高于子查询)

    使用profile来分析慢sql mysql 的 sql 性能分析器主要用途是显示 sql 执行的整个过程中各项资源的使用情况.分析器可以更好的展示出不良 SQL 的性能问题所在. 最近遇到一个查询比较慢的sql语句,用了子查询,大概需要0.8秒左右,这个消耗时间比较长,严重影响了性能,所以需要进行优化.单独查询单表或者子查询记录都很快,下面来看看详细的介绍. 开启profile mysql> show profiles; -- 查看是否开启 Empty set, 1 warning (0.00

  • MySQL慢查询分析工具pt-query-digest详解

    目录 一.简介 二.安装pt-query-digest 三.pt-query-digest语法及重要选项 四.分析pt-query-digest输出结果 五.用法示例 一.简介 pt-query-digest是用于分析mysql慢查询的一个工具,它可以分析binlog.General log.slowlog,也可以通过SHOWPROCESSLIST或者通过tcpdump抓取的MySQL协议数据来进行分析.可以把分析结果输出到文件中,分析过程是先对查询语句的条件进行参数化,然后对参数化以后的查询进

  • MySQL数据库设计之利用Python操作Schema方法详解

    弓在箭要射出之前,低声对箭说道,"你的自由是我的".Schema如箭,弓似Python,选择Python,是Schema最大的自由.而自由应是一个能使自己变得更好的机会. Schema是什么? 不管我们做什么应用,只要和用户输入打交道,就有一个原则--永远不要相信用户的输入数据.意味着我们要对用户输入进行严格的验证,web开发时一般输入数据都以JSON形式发送到后端API,API要对输入数据做验证.一般我都是加很多判断,各种if,导致代码很丑陋,能不能有一种方式比较优雅的验证用户数据呢

  • 一条sql详解MYSQL的架构设计详情

    目录 1 前言 2 应用层 2.1 连接线程处理 3 服务层 3.1 SQL 接口 3.2 SQL解析器 3.3 SQL优化器 3.4 执行器 3.5 查询缓存 4 存储引擎层 4.1 概述 4.2 缓冲池(buffer pool) 4.2.1 数据页.缓存页和脏页 4.2.2 元数据 4.2.3 free链表 4.2.4 flush链表 4.2.5 LRU链表 4.2.6 小结 4.3 undo log 4.4 redo log 5 总结 1 前言 对于一个服务端开发来说 MYSQL 可能是他

  • MySQL两种临时表的用法详解

    外部临时表 通过CREATE TEMPORARY TABLE 创建的临时表,这种临时表称为外部临时表.这种临时表只对当前用户可见,当前会话结束的时候,该临时表会自动关闭.这种临时表的命名与非临时表可以同名(同名后非临时表将对当前会话不可见,直到临时表被删除). 内部临时表 内部临时表是一种特殊轻量级的临时表,用来进行性能优化.这种临时表会被MySQL自动创建并用来存储某些操作的中间结果.这些操作可能包括在优化阶段或者执行阶段.这种内部表对用户来说是不可见的,但是通过EXPLAIN或者SHOW S

  • mysql中find_in_set()函数的使用详解

    首先举个例子来说: 有个文章表里面有个type字段,它存储的是文章类型,有 1头条.2推荐.3热点.4图文等等 . 现在有篇文章他既是头条,又是热点,还是图文,type中以 1,3,4 的格式存储.那我们如何用sql查找所有type中有4的图文类型的文章呢?? 这就要我们的 find_in_set 出马的时候到了.以下为引用的内容: select * from article where FIND_IN_SET('4',type) --------------------------------

  • MySQL 十大常用字符串函数详解

    大家好!我是只谈技术不剪发的 Tony 老师. 数据库函数是一种具有某种功能的模块,可以接收零个或多个输入值,并且返回一个输出值.MySQL 为我们提供了许多用于处理和分析数据的系统函数,本文给大家介绍 10 个常用的字符串函数,以及相关的其他函数. CONCAT() CONCAT(str1,str2,-))函数用于返回多个字符串连接之后的字符串,例如: SELECT CONCAT('MySQL', '字符串', '函数') AS str; str | --------------+ MySQL

  • Python写入MySQL数据库的三种方式详解

    目录 场景一:数据不需要频繁的写入mysql 场景二:数据是增量的,需要自动化并频繁写入mysql 方式一 方式二 总结 大家好,Python 读取数据自动写入 MySQL 数据库,这个需求在工作中是非常普遍的,主要涉及到 python 操作数据库,读写更新等,数据库可能是 mongodb. es,他们的处理思路都是相似的,只需要将操作数据库的语法更换即可. 本篇文章会给大家分享数据如何写入到 mysql,分为两个场景,三种方式. 场景一:数据不需要频繁的写入mysql 使用 navicat 工

  • Mysql表连接的执行流程详解

    目录 1. 前言 1.1 mysql连接的原理 1.2 show warnings命令 2. 准备工作 3. inner join内连接on.where的区别 4. left join左连接on.where的区别 4.1 where驱动表过滤条件 4.2 on驱动表过滤条件 4.3 on被驱动表过滤条件 4.4 where被驱动表过滤条件 5. 总结 1. 前言 对于连接操作,驱动表和被驱动表的关联条件我们放在on后面,如果额外增加对驱动表和被驱动表的过滤条件,放到on或者where后面都不会报

  • MySQL索引最左匹配原则实例详解

    目录 简介 准备 理论详解 聚集索引和非聚集索引 回表查询 索引覆盖 最左匹配原则 详细规则 补充:为什么要使用联合索引 总结 简介 这篇文章的初衷是很多文章都告诉你最左匹配原则,却没有告诉你,实际场景下它到底是如何工作的,本文就是为了阐述清这个问题. 准备 为了方面后续的说明,我们首先建立一个如下的表(MySQL5.7),表中共有5个字段(a.b.c.d.e),其中a为主键,有一个由b,c,d组成的联合索引,存储引擎为InnoDB,插入三条测试数据.强烈建议自己在MySQL中尝试本文的所有语句

随机推荐