Home  >  Article  >  Database  >  类似groupby的分组计数功能

类似groupby的分组计数功能

WBOY
WBOYOriginal
2016-06-07 16:10:151010browse

之前同事发过一个语句,实现的功能比较简单,类似group by的分组计数功能,因为where条件有like,又无法用group by来实现。SELECT a.N0,b.N1,c.N2,d.N3,e.N4,f.N5,g.N6,h.N7,i.N8,j.N9 from (select count(*) N0 from tbl_loginfo_20141110 where keyrecord

之前同事发过一个语句,实现的功能比较简单,类似group by的分组计数功能,因为where条件有like,又无法用group by来实现。
SELECT a.N0,b.N1,c.N2,d.N3,e.N4,f.N5,g.N6,h.N7,i.N8,j.N9 from 
 (select count(*) N0 from tbl_loginfo_20141110 where keyrecord like '0%' or keyrecord like 'GJ_0%') a,
 (select count(*) N1 from tbl_loginfo_20141110 where keyrecord like '1%' or keyrecord like 'GJ_1%') b,
 (select count(*) N2 from tbl_loginfo_20141110 where keyrecord like '2%' or keyrecord like 'GJ_2%') c,
 (select count(*) N3 from tbl_loginfo_20141110 where keyrecord like '3%' or keyrecord like 'GJ_3%') d,
 (select count(*) N4 from tbl_loginfo_20141110 where keyrecord like '4%' or keyrecord like 'GJ_4%') e,
 (select count(*) N5 from tbl_loginfo_20141110 where keyrecord like '5%' or keyrecord like 'GJ_5%') f,
 (select count(*) N6 from tbl_loginfo_20141110 where keyrecord like '6%' or keyrecord like 'GJ_6%') g,
 (select count(*) N7 from tbl_loginfo_20141110 where keyrecord like '7%' or keyrecord like 'GJ_7%') h,
 (select count(*) N8 from tbl_loginfo_20141110 where keyrecord like '8%' or keyrecord like 'GJ_8%') i,
 (select count(*) N9 from tbl_loginfo_20141110 where keyrecord like '9%' or keyrecord like 'GJ_9%') j;
 
为了了解语句的性能,我做了如下类似的测试: 
select * from v$version;   --Oracle Database 11g Enterprise Edition Release 11.2.0.1.0 - Production
drop table a;
create table a as select * from dba_objects where rownum<=50000;
begin
  for x in 1..6 loop
    insert into a select * from a;
  end loop;
  commit;
end;

select count(*) from a;   --3200000
select bytes/1024/1024 from user_segments where segment_name=&#39;A&#39;;  --357M

alter system flush shared_pool;
alter system flush buffer_cache;

SELECT a.N0,b.N1,c.N2,d.N3,e.N4,f.N5,g.N6,h.N7,i.N8,j.N9 from 
 (select count(*) N0 from a where object_name like &#39;A%&#39; or object_name like &#39;V%&#39;) a,
 (select count(*) N1 from a where object_name like &#39;B%&#39; or object_name like &#39;V%&#39;) b,
 (select count(*) N2 from a where object_name like &#39;C%&#39; or object_name like &#39;V%&#39;) c,
 (select count(*) N3 from a where object_name like &#39;D%&#39; or object_name like &#39;V%&#39;) d,
 (select count(*) N4 from a where object_name like &#39;E%&#39; or object_name like &#39;V%&#39;) e,
 (select count(*) N5 from a where object_name like &#39;F%&#39; or object_name like &#39;V%&#39;) f,
 (select count(*) N6 from a where object_name like &#39;G%&#39; or object_name like &#39;V%&#39;) g,
 (select count(*) N7 from a where object_name like &#39;H%&#39; or object_name like &#39;V%&#39;) h,
 (select count(*) N8 from a where object_name like &#39;I%&#39; or object_name like &#39;V%&#39;) i,
 (select count(*) N9 from a where object_name like &#39;J%&#39; or object_name like &#39;V%&#39;) j;
--58s
alter system flush shared_pool;
alter system flush buffer_cache;

--改写后
select 
sum(case when object_name like &#39;A%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N0,
sum(case when object_name like &#39;B%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N1, 
sum(case when object_name like &#39;C%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N2, 
sum(case when object_name like &#39;D%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N3, 
sum(case when object_name like &#39;E%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N4, 
sum(case when object_name like &#39;F%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N5, 
sum(case when object_name like &#39;G%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N6, 
sum(case when object_name like &#39;H%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N7, 
sum(case when object_name like &#39;I%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N8, 
sum(case when object_name like &#39;J%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N9
from a; 

--19s





--对比执行计划:
--前者执行计划:
SQL> explain plan for
  2  SELECT a.N0,b.N1,c.N2,d.N3,e.N4,f.N5,g.N6,h.N7,i.N8,j.N9 from
  3   (select count(*) N0 from a where object_name like &#39;A%&#39; or object_name like &#39;V%&#39;) a,
  4   (select count(*) N1 from a where object_name like &#39;B%&#39; or object_name like &#39;V%&#39;) b,
  5   (select count(*) N2 from a where object_name like &#39;C%&#39; or object_name like &#39;V%&#39;) c,
  6   (select count(*) N3 from a where object_name like &#39;D%&#39; or object_name like &#39;V%&#39;) d,
  7   (select count(*) N4 from a where object_name like &#39;E%&#39; or object_name like &#39;V%&#39;) e,
  8   (select count(*) N5 from a where object_name like &#39;F%&#39; or object_name like &#39;V%&#39;) f,
  9   (select count(*) N6 from a where object_name like &#39;G%&#39; or object_name like &#39;V%&#39;) g,
 10   (select count(*) N7 from a where object_name like &#39;H%&#39; or object_name like &#39;V%&#39;) h,
 11   (select count(*) N8 from a where object_name like &#39;I%&#39; or object_name like &#39;V%&#39;) i,
 12   (select count(*) N9 from a where object_name like &#39;J%&#39; or object_name like &#39;V%&#39;) j;

Explained.

Elapsed: 00:00:00.15
SQL> @getplan
&#39;general,outline,starts&#39;

Enter value for plan type:

PLAN_TABLE_OUTPUT
-----------------------------------------------------------------------------------------
Plan hash value: 2527411742

-------------------------------------------------------------------------------------
| Id  | Operation                    | Name | Rows  | Bytes | Cost (%CPU)| Time     |
-------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT             |      |     1 |   130 |   123K  (1)| 00:24:46 |
|   1 |  NESTED LOOPS                |      |     1 |   130 |   123K  (1)| 00:24:46 |
|   2 |   NESTED LOOPS               |      |     1 |   117 |   111K  (1)| 00:22:17 |
|   3 |    NESTED LOOPS              |      |     1 |   104 | 99032   (1)| 00:19:49 |
|   4 |     NESTED LOOPS             |      |     1 |    91 | 86653   (1)| 00:17:20 |
|   5 |      NESTED LOOPS            |      |     1 |    78 | 74274   (1)| 00:14:52 |
|   6 |       NESTED LOOPS           |      |     1 |    65 | 61895   (1)| 00:12:23 |
|   7 |        NESTED LOOPS          |      |     1 |    52 | 49516   (1)| 00:09:55 |
|   8 |         NESTED LOOPS         |      |     1 |    39 | 37137   (1)| 00:07:26 |
|   9 |          NESTED LOOPS        |      |     1 |    26 | 24758   (1)| 00:04:58 |
|  10 |           VIEW               |      |     1 |    13 | 12379   (1)| 00:02:29 |
|  11 |            SORT AGGREGATE    |      |     1 |    66 |            |          |
|* 12 |             TABLE ACCESS FULL| A    | 91587 |  5903K| 12379   (1)| 00:02:29 |
|  13 |           VIEW               |      |     1 |    13 | 12379   (1)| 00:02:29 |
|  14 |            SORT AGGREGATE    |      |     1 |    66 |            |          |
|* 15 |             TABLE ACCESS FULL| A    |   137K|  8831K| 12379   (1)| 00:02:29 |
|  16 |          VIEW                |      |     1 |    13 | 12379   (1)| 00:02:29 |
|  17 |           SORT AGGREGATE     |      |     1 |    66 |            |          |
|* 18 |            TABLE ACCESS FULL | A    | 85818 |  5531K| 12379   (1)| 00:02:29 |
|  19 |         VIEW                 |      |     1 |    13 | 12379   (1)| 00:02:29 |
|  20 |          SORT AGGREGATE      |      |     1 |    66 |            |          |
|* 21 |           TABLE ACCESS FULL  | A    |   111K|  7158K| 12379   (1)| 00:02:29 |
|  22 |        VIEW                  |      |     1 |    13 | 12379   (1)| 00:02:29 |
|  23 |         SORT AGGREGATE       |      |     1 |    66 |            |          |
|* 24 |          TABLE ACCESS FULL   | A    | 86539 |  5577K| 12379   (1)| 00:02:29 |
|  25 |       VIEW                   |      |     1 |    13 | 12379   (1)| 00:02:29 |
|  26 |        SORT AGGREGATE        |      |     1 |    66 |            |          |
|* 27 |         TABLE ACCESS FULL    | A    | 91587 |  5903K| 12379   (1)| 00:02:29 |
|  28 |      VIEW                    |      |     1 |    13 | 12379   (1)| 00:02:29 |
|  29 |       SORT AGGREGATE         |      |     1 |    66 |            |          |
|* 30 |        TABLE ACCESS FULL     | A    |   228K|    14M| 12379   (1)| 00:02:29 |
|  31 |     VIEW                     |      |     1 |    13 | 12379   (1)| 00:02:29 |
|  32 |      SORT AGGREGATE          |      |     1 |    66 |            |          |
|* 33 |       TABLE ACCESS FULL      | A    | 87981 |  5670K| 12379   (1)| 00:02:29 |
|  34 |    VIEW                      |      |     1 |    13 | 12379   (1)| 00:02:29 |
|  35 |     SORT AGGREGATE           |      |     1 |    66 |            |          |
|* 36 |      TABLE ACCESS FULL       | A    | 84376 |  5438K| 12379   (1)| 00:02:29 |
|  37 |   VIEW                       |      |     1 |    13 | 12379   (1)| 00:02:29 |
|  38 |    SORT AGGREGATE            |      |     1 |    66 |            |          |
|* 39 |     TABLE ACCESS FULL        | A    |   112K|  7251K| 12379   (1)| 00:02:29 |
-------------------------------------------------------------------------------------

Predicate Information (identified by operation id):
---------------------------------------------------

  12 - filter("OBJECT_NAME" LIKE &#39;J%&#39; OR "OBJECT_NAME" LIKE &#39;V%&#39;)
  15 - filter("OBJECT_NAME" LIKE &#39;I%&#39; OR "OBJECT_NAME" LIKE &#39;V%&#39;)
  18 - filter("OBJECT_NAME" LIKE &#39;H%&#39; OR "OBJECT_NAME" LIKE &#39;V%&#39;)
  21 - filter("OBJECT_NAME" LIKE &#39;G%&#39; OR "OBJECT_NAME" LIKE &#39;V%&#39;)
  24 - filter("OBJECT_NAME" LIKE &#39;F%&#39; OR "OBJECT_NAME" LIKE &#39;V%&#39;)
  27 - filter("OBJECT_NAME" LIKE &#39;E%&#39; OR "OBJECT_NAME" LIKE &#39;V%&#39;)
  30 - filter("OBJECT_NAME" LIKE &#39;D%&#39; OR "OBJECT_NAME" LIKE &#39;V%&#39;)
  33 - filter("OBJECT_NAME" LIKE &#39;C%&#39; OR "OBJECT_NAME" LIKE &#39;V%&#39;)
  36 - filter("OBJECT_NAME" LIKE &#39;B%&#39; OR "OBJECT_NAME" LIKE &#39;V%&#39;)
  39 - filter("OBJECT_NAME" LIKE &#39;A%&#39; OR "OBJECT_NAME" LIKE &#39;V%&#39;)
  
  
  
  
  
--后者执行计划:  
SQL> explain plan for
  2  select
  3  sum(case when object_name like &#39;A%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N0,
  4  sum(case when object_name like &#39;B%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N1,
  5  sum(case when object_name like &#39;C%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N2,
  6  sum(case when object_name like &#39;D%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N3,
  7  sum(case when object_name like &#39;E%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N4,
  8  sum(case when object_name like &#39;F%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N5,
  9  sum(case when object_name like &#39;G%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N6,
 10  sum(case when object_name like &#39;H%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N7,
 11  sum(case when object_name like &#39;I%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N8,
 12  sum(case when object_name like &#39;J%&#39; or object_name like &#39;V%&#39; then 1 else 0 end) N9
 13  from a;

Explained.

Elapsed: 00:00:00.01
SQL> @getplan
&#39;general,outline,starts&#39;

Enter value for plan type:

PLAN_TABLE_OUTPUT
--------------------------------------------------------------------------------------------
Plan hash value: 3918351354

---------------------------------------------------------------------------
| Id  | Operation          | Name | Rows  | Bytes | Cost (%CPU)| Time     |
---------------------------------------------------------------------------
|   0 | SELECT STATEMENT   |      |     1 |    66 | 12349   (1)| 00:02:29 |
|   1 |  SORT AGGREGATE    |      |     1 |    66 |            |          |
|   2 |   TABLE ACCESS FULL| A    |  3097K|   194M| 12349   (1)| 00:02:29 |
---------------------------------------------------------------------------

Note
-----
   - dynamic sampling used for this statement (level=2)  


可以看出,前者10次全表扫描,后者1次全表扫描。从而时间上也大大降低了。由58s降低到19s。
优化这个sql主要还是思路的转换,难点在于怎样把10次全表扫描转化成1次全表扫描。
在OLAP中,可以加并行使sql速度更快。




Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Previous article:MongoDB(一)简单介绍Next article:redis-cli命令总结