奶奶的，为啥现在五一节只放3天，5月的天气最适合出游了，不过俺们这些苦逼的IT男是没法享受了。sql to sqlalchemy 转换的小例子
复制具体相关代码 具体相关代码如下:,select to_char(date_published, 'yyyymm') yo from blog group by yo;,可以使用 extract(),复制具体相关代码 具体相关代码如下:,In[3]: year_field = db.func.extract('year', ArticleModel.date_published) In[4]: month_field = db.fun,复制具体相关代码 具体相关代码如下:,yonth = db.func.to_char(ArticleModel.date_published,'yyyymm').label('yonth') archive_list =(db.sessi,
一来到公司，项目经理就找到开发leader，说咱们网站 页面很慢，让他排查原因。
一听说 网站慢，页面慢哥就来精神了，哥的老本行就是 解决“慢”的问题。
开发leader 很郁闷的说，咱们已经加了 memcache了，20分钟 cache一次，咋个还是慢呢，
于是哥就问，那个网页跑了哪些SQL？ 能抓出来让我看看吗？ 开发Leader 果断的把SQL 抓了出来。
经过排查，咱们发现了一个SQL确实跑得慢。该SQL 如下
复制具体相关代码 具体相关代码如下:
select *
from (select u.NAME UniversityName,
u.id UniversityId,
count(a.SIGNUPNUMBER) playercnt
from T_B_UNIVERSITY u
left join T_D_EDUCATION e
on e.UNIVERSITY_ID = u.id
left join T_D_VIDEO_PLAYER a
on a.USER_ID = e.user_id
and e.ISDEFAULT = 1
and e.ISVALID = 1
and a.AUDITSTATUS = 1
and a.ISVALID = 1
left join T_D_USER c
on a.USER_ID = c.id
and c.ISVALID = 1
where u.REGION_CODE like '43%'
group by u.NAME, u.id)
order by playercnt desc;
执行计划如下
复制具体相关代码 具体相关代码如下:
执行计划
----------------------------------------------------------
Plan hash value: 3938743742
--------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 142 | 10366 | 170 (3)| 00:00:03 |
| 1 | SORT ORDER BY | | 142 | 10366 | 170 (3)| 00:00:03 |
| 2 | hASh GROUP BY | | 142 | 10366 | 170 (3)| 00:00:03 |
|* 3 | hASh JOIN RIGhT OUTER| | 672 | 49056 | 168 (2)| 00:00:03 |
|* 4 | TABLE ACCESS FULL | T_D_USER | 690 | 5520 | 5 (0)| 00:00:01 |
| 5 | NESTED LOOPS OUTER | | 672 | 43680 | 162 (1)| 00:00:02 |
|* 6 | hASh JOIN OUTER | | 672 | 37632 | 14 (8)| 00:00:01 |
|* 7 | TABLE ACCESS FULL | T_B_UNIVERSITY | 50 | 2050 | 8 (0)| 00:00:01 |
| 8 | TABLE ACCESS FULL | T_D_EDUCATION | 672 | 10080 | 5 (0)| 00:00:01 |
| 9 | VIEW | | 1 | 9 | 0 (0)| 00:00:01 |
|* 10 | FILTER | | | | | |
|* 11 | TABLE ACCESS FULL| T_D_VIDEO_PLAYER | 1 | 15 | 3 (0)| 00:00:01 |
--------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
3 - access("A"."USER_ID"="C"."ID"( ))
4 - filter("C"."ISVALID"( )=1)
6 - access("E"."UNIVERSITY_ID"( )="U"."ID")
7 - filter("U"."REGION_CODE" LIKE '43%')
10 - filter("E"."ISVALID"=1 AND "E"."ISDEFAULT"=1)
11 - filter("A"."USER_ID"="E"."USER_ID" AND "A"."AUDITSTATUS"=1 AND
"A"."ISVALID"=1)
大家能发现这个SQL 的问题吗？ 这个 SQL 之所以跑得慢是因为开发人员把SQL的条件写错位置了
正确的写法应该是 下面这样的
复制具体相关代码 具体相关代码如下:
select *
from (select u.NAME UniversityName,
u.id UniversityId,
count(a.SIGNUPNUMBER) playercnt
from T_B_UNIVERSITY u
left join T_D_EDUCATION e
on e.UNIVERSITY_ID = u.id
and e.ISDEFAULT = 1
and e.ISVALID = 1
left join T_D_VIDEO_PLAYER a
on a.USER_ID = e.user_id
and a.AUDITSTATUS = 1
and a.ISVALID = 1
left join T_D_USER c
on a.USER_ID = c.id
and c.ISVALID = 1
where u.REGION_CODE like '43%'
group by u.NAME, u.id)
order by playercnt desc;
执行计划如下
复制具体相关代码 具体相关代码如下:
执行计划
----------------------------------------------------------
Plan hash value: 2738827747
---------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
---------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 142 | 11218 | 25 (16)| 00:00:01 |
| 1 | SORT ORDER BY | | 142 | 11218 | 25 (16)| 00:00:01 |
| 2 | hASh GROUP BY | | 142 | 11218 | 25 (16)| 00:00:01 |
|* 3 | hASh JOIN RIGhT OUTER | | 301 | 23779 | 23 (9)| 00:00:01 |
|* 4 | TABLE ACCESS FULL | T_D_USER | 690 | 5520 | 5 (0)| 00:00:01 |
|* 5 | hASh JOIN RIGhT OUTER| | 301 | 21371 | 17 (6)| 00:00:01 |
|* 6 | TABLE ACCESS FULL | T_D_VIDEO_PLAYER | 78 | 1170 | 3 (0)| 00:00:01 |
|* 7 | hASh JOIN OUTER | | 301 | 16856 | 14 (8)| 00:00:01 |
|* 8 | TABLE ACCESS FULL | T_B_UNIVERSITY | 50 | 2050 | 8 (0)| 00:00:01 |
|* 9 | TABLE ACCESS FULL | T_D_EDUCATION | 301 | 4515 | 5 (0)| 00:00:01 |
---------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
3 - access("A"."USER_ID"="C"."ID"( ))
4 - filter("C"."ISVALID"( )=1)
5 - access("A"."USER_ID"( )="E"."USER_ID")
6 - filter("A"."AUDITSTATUS"( )=1 AND "A"."ISVALID"( )=1)
7 - access("E"."UNIVERSITY_ID"( )="U"."ID")
8 - filter("U"."REGION_CODE" LIKE '43%')
9 - filter("E"."ISDEFAULT"( )=1 AND "E"."ISVALID"( )=1)
之前SQL要跑至少5秒以上，现在0.1秒能出结果。
各位童鞋，SQL 有外连接的时候，要注意过滤条件的位置，记住啦！！！
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