MySQL實驗 內連接優化order by+limit 以及添加索引再次改進
在進行子查詢優化雙引數limit時我萌生了測驗更加符合實際生產需要的ORDER BY + LIMIT的想法，或許我們也可以對ORDER BY + LIMIT 也進行適當優化
實驗準備
使用MySQL官方的大資料庫employees進行實驗，匯入該示例庫見此
準備使用其中的employees表，先查看一下表結構和表內的記錄數量
mysql> desc employees;
+------------+---------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+------------+---------------+------+-----+---------+-------+
| emp_no | int(11) | NO | PRI | NULL | |
| birth_date | date | NO | | NULL | |
| first_name | varchar(14) | NO | | NULL | |
| last_name | varchar(16) | NO | | NULL | |
| gender | enum('M','F') | NO | | NULL | |
| hire_date | date | NO | | NULL | |
+------------+---------------+------+-----+---------+-------+
6 rows in set (0.00 sec)
mysql> select count(*) from employeed;
ERROR 1146 (42S02): Table 'employees.employeed' doesn't exist
mysql> select count(*) from employees;
+----------+
| count(*) |
+----------+
| 300024 |
+----------+
1 row in set (0.05 sec)
我們可以看到，只有主鍵emp_no有索引
實驗程序
MySQL5.7官網對Explain各項引數的解釋
官網對ORDER BY機制的詳解
explain引數5.7版本推薦參考博客
老版本explain推薦參考博客（即新版本默認explain extended）
關于explain引數的拓展鏈接
MySQL explain key值的解釋
使用未優化order by + limit
mysql> select * from employees order by birth_date limit 200000,10;
+--------+------------+------------+------------+--------+------------+
| emp_no | birth_date | first_name | last_name | gender | hire_date |
+--------+------------+------------+------------+--------+------------+
| 498507 | 1960-09-24 | Perla | Delgrange | M | 1989-12-08 |
| 494212 | 1960-09-25 | Susuma | Baranowski | M | 1989-05-15 |
| 496888 | 1960-09-25 | Rosalyn | Rebaine | M | 1985-11-27 |
| 497766 | 1960-09-25 | Matt | Atrawala | F | 1987-02-11 |
| 481404 | 1960-09-25 | Sanjeeva | Eterovic | F | 1986-06-05 |
| 483269 | 1960-09-25 | Mitchel | Pramanik | F | 1997-07-23 |
| 483270 | 1960-09-25 | Geoff | Gulik | F | 1993-11-25 |
| 59683 | 1960-09-25 | Supot | Millington | F | 1991-06-03 |
| 101264 | 1960-09-25 | Mansur | Atchley | F | 1990-05-22 |
| 92453 | 1960-09-25 | Khalid | Trystram | M | 1993-11-10 |
+--------+------------+------------+------------+--------+------------+
10 rows in set (0.20 sec)
mysql> explain select * from employees order by birth_date limit 200000,10;
+----+-------------+-----------+------------+------+---------------+------+---------+------+--------+----------+----------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+---------------+------+---------+------+--------+----------+----------------+
| 1 | SIMPLE | employees | NULL | ALL | NULL | NULL | NULL | NULL | 299468 | 100.00 | Using filesort |
+----+-------------+-----------+------------+------+---------------+------+---------+------+--------+----------+----------------+
1 row in set, 1 warning (0.00 sec)
我們可以看到，未優化時使用的是全表掃描，花費0.2s
內連接優化
優化思路：我們可以利用主鍵emp_no的索引樹，在索引樹上將符合order by birth_date limit 200000,10的元組（即，行）的主鍵找出來，再用內連接回傳10行emp_no的所有資訊，
（內連接只回傳表中與連接條件相匹配的行，也就是說，select emp_no from employees order by birth_date limit 200000,10只會回傳10個emp_no，那么內連接后，結果集中也只有10個emp_no對應的所有資訊）
（另外這里的內連接時使用了emp_no，即，子查詢中也有"覆寫索引"減少磁盤I/O的功勞）
mysql> select * from employees inner join (select emp_no from employees order by birth_date limit 200000,10) as temp_table using (emp_no);
+--------+------------+------------+-----------+--------+------------+
| emp_no | birth_date | first_name | last_name | gender | hire_date |
+--------+------------+------------+-----------+--------+------------+
| 427365 | 1960-09-24 | Yuping | Sethi | M | 1990-06-21 |
| 424219 | 1960-09-25 | Woody | Bernini | M | 1989-03-10 |
| 469218 | 1960-09-25 | George | Plotkin | M | 1992-02-19 |
| 404121 | 1960-09-25 | Domenico | Birnbaum | M | 1993-08-01 |
| 404266 | 1960-09-25 | Quingbo | Jervis | F | 1985-03-15 |
| 409133 | 1960-09-25 | Nitsan | Kleiser | F | 1985-05-18 |
| 409558 | 1960-09-25 | Shunichi | Hofting | F | 1992-07-06 |
| 412045 | 1960-09-25 | Kristin | Bolotov | F | 1985-06-28 |
| 481404 | 1960-09-25 | Sanjeeva | Eterovic | F | 1986-06-05 |
| 483269 | 1960-09-25 | Mitchel | Pramanik | F | 1997-07-23 |
+--------+------------+------------+-----------+--------+------------+
10 rows in set (0.10 sec)
mysql> explain select * from employees inner join (select emp_no from employees order by birth_date limit 100000,10) as table_temp using (emp_no);
+----+-------------+------------+------------+--------+---------------+---------+---------+-------------------+--------+----------+----------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+------------+------------+--------+---------------+---------+---------+-------------------+--------+----------+----------------+
| 1 | PRIMARY | <derived2> | NULL | ALL | NULL | NULL | NULL | NULL | 100010 | 100.00 | NULL |
| 1 | PRIMARY | employees | NULL | eq_ref | PRIMARY | PRIMARY | 4 | table_temp.emp_no | 1 | 100.00 | NULL |
| 2 | DERIVED | employees | NULL | ALL | NULL | NULL | NULL | NULL | 299468 | 100.00 | Using filesort |
+----+-------------+------------+------------+--------+---------------+---------+---------+-------------------+--------+----------+----------------+
3 rows in set, 1 warning (0.00 sec)
可見效率提高了一倍，在explain中
-
第三行的select_type為DERIVED，是指這行是包含在from子句中的查詢，我們可以看到，子句查詢也沒有使用索引
-
<derived2>是指，第一行的查詢說明表示當前查詢依賴 id=N 的查詢，此處N=2，那我們先看第二行：第二行type為
eq_ref是指primary key 或 unique key 索引被連接（join）使用，，對于每個索引鍵的關聯查詢，回傳匹配唯一行資料（有且只有1個），在這里就是說在子查詢查詢到emp_no后，子查詢中產生的臨時表與employees表進行連接， -
（對于這里的explain的解釋只包含了對explain各項引數的解釋，但似乎沒有辦法直接驗證優化思路，還望各位看官前輩指點）
為排序欄位加上索引
既然我們在內連接中是通過排序欄位birth_date后對emp_no進行查詢，那么我們或許能再為排序欄位加上索引以再次提高效率，
mysql> alter table employees add index birthdate_index (birth_date);
Query OK, 0 rows affected (0.75 sec)
Records: 0 Duplicates: 0 Warnings: 0
mysql> desc employees;
+------------+---------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+------------+---------------+------+-----+---------+-------+
| emp_no | int(11) | NO | PRI | NULL | |
| birth_date | date | NO | MUL | NULL | |
| first_name | varchar(14) | NO | | NULL | |
| last_name | varchar(16) | NO | | NULL | |
| gender | enum('M','F') | NO | | NULL | |
| hire_date | date | NO | | NULL | |
+------------+---------------+------+-----+---------+-------+
6 rows in set (0.00 sec)
然后我們再次執行未優化和通過內連接優化的兩條查詢陳述句，
mysql> select * from employees order by birth_date limit 200000,10;
+--------+------------+------------+------------+--------+------------+
| emp_no | birth_date | first_name | last_name | gender | hire_date |
+--------+------------+------------+------------+--------+------------+
| 498507 | 1960-09-24 | Perla | Delgrange | M | 1989-12-08 |
| 494212 | 1960-09-25 | Susuma | Baranowski | M | 1989-05-15 |
| 496888 | 1960-09-25 | Rosalyn | Rebaine | M | 1985-11-27 |
| 497766 | 1960-09-25 | Matt | Atrawala | F | 1987-02-11 |
| 481404 | 1960-09-25 | Sanjeeva | Eterovic | F | 1986-06-05 |
| 483269 | 1960-09-25 | Mitchel | Pramanik | F | 1997-07-23 |
| 483270 | 1960-09-25 | Geoff | Gulik | F | 1993-11-25 |
| 59683 | 1960-09-25 | Supot | Millington | F | 1991-06-03 |
| 101264 | 1960-09-25 | Mansur | Atchley | F | 1990-05-22 |
| 92453 | 1960-09-25 | Khalid | Trystram | M | 1993-11-10 |
+--------+------------+------------+------------+--------+------------+
10 rows in set (0.20 sec)
mysql> select * from employees inner join (select emp_no from employees order by birth_date limit 200000,10) as temp_table using (emp_no);
+--------+------------+------------+------------+--------+------------+
| emp_no | birth_date | first_name | last_name | gender | hire_date |
+--------+------------+------------+------------+--------+------------+
| 498507 | 1960-09-24 | Perla | Delgrange | M | 1989-12-08 |
| 23102 | 1960-09-25 | Hsiangchu | Harbusch | M | 1986-03-14 |
| 29961 | 1960-09-25 | Susumu | Munoz | F | 1989-12-31 |
| 32061 | 1960-09-25 | Dipankar | Buescher | M | 1992-10-24 |
| 36216 | 1960-09-25 | Xianlong | Rassart | F | 1987-09-05 |
| 37058 | 1960-09-25 | Khue | Osgood | M | 1991-11-04 |
| 38365 | 1960-09-25 | Sariel | Ramsak | M | 1993-02-26 |
| 39901 | 1960-09-25 | Jianhui | Ushiama | M | 1985-12-03 |
| 59683 | 1960-09-25 | Supot | Millington | F | 1991-06-03 |
| 63784 | 1960-09-25 | Rosita | Zyda | M | 1988-08-12 |
+--------+------------+------------+------------+--------+------------+
10 rows in set (0.03 sec)
我們可以看到，普通查詢陳述句并沒有得到效率上的提升，但是內連接的查詢效率得到了很大的提升，花費時間從原來的0.1s縮減為0.03秒，也就是說，再次優化后的內連接差不多可以應對百萬（甚至千萬級，因為實際生產中所使用的硬體設施肯定會遠遠好與我現在的基礎班ECS）級別的資料了，
對于加上 birthdate_index索引后普通查詢效率未提升的說明：
因為我們查詢的是select *，即使emp_no和birth_date上有索引，在查詢其他列資訊的時候，我們依然需要回表，因此即使加上索引后，我們的普通查詢依然使用的是全表掃描，
小結
經過試驗證明，內連接對于order by+雙引數limit有一定效果，在合適的內連接子查詢下，增加相應的索引，能夠使性能進一步提升，從0.2到0.1在到0.03，當縮減一個數量級時，那都是很大的突破，（完結撒花~）
最后的補充
-
EXPLAIN不會告訴你關于觸發器、存盤程序的資訊或用戶自定義函式對查詢的影響情況
-
EXPLAIN不考慮各種Cache
-
EXPLAIN不能顯示MySQL在執行查詢時所作的優化作業
-
部分統計資訊是估算的，并非精確值
-
EXPALIN只能解釋SELECT操作，其他操作要重寫為SELECT后查看執行計劃
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標籤：MySQL