count(*)、count(val)和count(1)的解释
一、关于count的一些谣言:
1、count(*)比count(val)更慢!项目组必须用count(val),不准用count(*),谁用扣谁钱!
2、count(*)用不到索引,count(val)才能用到。
3、count(*)是统计出全表的记录,是吞吐量的操作,肯定用不到索引。
4、count(1)比count(*)的速度快。
二、验证count(*)和count(val)
1、首先创建一个表,使用count(*)和count(val)查询比较:
----删除echo表----
SQL> drop table echo purge;
drop table echo purge
*
第 1 行出现错误:
ORA-00942: 表或视图不存在 ----创建一张echo的测试表----
SQL> create table echo as select * from dba_objects; 表已创建。 SQL> update echo set object_id = rownum; 已更新72509行。 SQL> commit; 提交完成。 SQL> set timing on
SQL> set linesize 100
SQL> set autotrace on
SQL> select count(*) from echo; COUNT(*)
----------
72509 已用时间: 00: 00: 00.01 执行计划
----------------------------------------------------------
Plan hash value: 99109176 -------------------------------------------------------------------
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
-------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 290 (1)| 00:00:04 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | TABLE ACCESS FULL| ECHO | 80064 | 290 (1)| 00:00:04 |
------------------------------------------------------------------- Note
-----
- dynamic sampling used for this statement (level=2) 统计信息
----------------------------------------------------------
4 recursive calls
0 db block gets
1265 consistent gets
0 physical reads
11060 redo size
425 bytes sent via SQL*Net to client
415 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed SQL> select count(*) from echo; COUNT(*)
----------
72509 已用时间: 00: 00: 00.01 执行计划
----------------------------------------------------------
Plan hash value: 99109176 -------------------------------------------------------------------
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
-------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 290 (1)| 00:00:04 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | TABLE ACCESS FULL| ECHO | 80064 | 290 (1)| 00:00:04 |
------------------------------------------------------------------- Note
-----
- dynamic sampling used for this statement (level=2) 统计信息
----------------------------------------------------------
0 recursive calls
0 db block gets
1038 consistent gets
0 physical reads
0 redo size
425 bytes sent via SQL*Net to client
415 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed SQL> select count(object_id) from echo; COUNT(OBJECT_ID)
----------------
72509 已用时间: 00: 00: 00.01 执行计划
----------------------------------------------------------
Plan hash value: 99109176 ---------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
---------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 13 | 290 (1)| 00:00:04 |
| 1 | SORT AGGREGATE | | 1 | 13 | | |
| 2 | TABLE ACCESS FULL| ECHO | 80064 | 1016K| 290 (1)| 00:00:04 |
--------------------------------------------------------------------------- Note
-----
- dynamic sampling used for this statement (level=2) 统计信息
----------------------------------------------------------
4 recursive calls
0 db block gets
1112 consistent gets
0 physical reads
0 redo size
433 bytes sent via SQL*Net to client
415 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed SQL> select count(object_id) from echo; COUNT(OBJECT_ID)
----------------
72509 已用时间: 00: 00: 00.01 执行计划
----------------------------------------------------------
Plan hash value: 99109176 ---------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
---------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 13 | 290 (1)| 00:00:04 |
| 1 | SORT AGGREGATE | | 1 | 13 | | |
| 2 | TABLE ACCESS FULL| ECHO | 80064 | 1016K| 290 (1)| 00:00:04 |
--------------------------------------------------------------------------- Note
-----
- dynamic sampling used for this statement (level=2) 统计信息
----------------------------------------------------------
0 recursive calls
0 db block gets
1038 consistent gets
0 physical reads
0 redo size
433 bytes sent via SQL*Net to client
415 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
从上面的执行计划可以看出count(*)和count(val)是一样快的。
2、建立索引做比较
SQL> create index idx_object_id on echo(object_id); 索引已创建。 已用时间: 00: 00: 05.69
SQL> select count(*) from echo; COUNT(*)
----------
72509 已用时间: 00: 00: 00.05 执行计划
----------------------------------------------------------
Plan hash value: 99109176 -------------------------------------------------------------------
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
-------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 290 (1)| 00:00:04 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | TABLE ACCESS FULL| ECHO | 80064 | 290 (1)| 00:00:04 |
------------------------------------------------------------------- Note
-----
- dynamic sampling used for this statement (level=2) 统计信息
----------------------------------------------------------
5 recursive calls
0 db block gets
1113 consistent gets
0 physical reads
0 redo size
425 bytes sent via SQL*Net to client
415 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed SQL> select count(object_id) from echo; COUNT(OBJECT_ID)
----------------
72509 已用时间: 00: 00: 00.08 执行计划
----------------------------------------------------------
Plan hash value: 1131838604 ---------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
---------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 13 | 49 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | 13 | | |
| 2 | INDEX FAST FULL SCAN| IDX_OBJECT_ID | 80064 | 1016K| 49 (0)| 00:00:01 |
--------------------------------------------------------------------------------------- Note
-----
- dynamic sampling used for this statement (level=2) 统计信息
----------------------------------------------------------
4 recursive calls
0 db block gets
244 consistent gets
161 physical reads
0 redo size
433 bytes sent via SQL*Net to client
415 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
哇,原来真的是用count(val)比count(*)要快啊,因为count(*)不能用到索引,而count(val)可以,真相真是如此吗?
3、将object_id设置为非空
SQL> alter table echo modify object_id not null; 表已更改。 已用时间: 00: 00: 01.41 SQL> select count(*) from echo; COUNT(*)
----------
72509 已用时间: 00: 00: 00.00 执行计划
----------------------------------------------------------
Plan hash value: 1131838604 -------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
-------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 49 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | INDEX FAST FULL SCAN| IDX_OBJECT_ID | 80064 | 49 (0)| 00:00:01 |
------------------------------------------------------------------------------- Note
-----
- dynamic sampling used for this statement (level=2) 统计信息
----------------------------------------------------------
0 recursive calls
0 db block gets
169 consistent gets
0 physical reads
0 redo size
425 bytes sent via SQL*Net to client
415 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed SQL> select count(object_id) from echo; COUNT(OBJECT_ID)
----------------
72509 已用时间: 00: 00: 00.01 执行计划
----------------------------------------------------------
Plan hash value: 1131838604 -------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
-------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 49 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | INDEX FAST FULL SCAN| IDX_OBJECT_ID | 80064 | 49 (0)| 00:00:01 |
------------------------------------------------------------------------------- Note
-----
- dynamic sampling used for this statement (level=2) 统计信息
----------------------------------------------------------
0 recursive calls
0 db block gets
169 consistent gets
0 physical reads
0 redo size
433 bytes sent via SQL*Net to client
415 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
--看来count(val)和count(*)其实一样快,如果索引列是非空的,count(*)可用到索引,此时一样快!真相真是如此吗?
其实两者根本没有可比性,性能比较首先考虑写法等价,这两个语句根本就不等价。
结论:
其实优化器里的算法是这么玩的,列的偏移量决定性能,列越靠后,访问的开销越大。由于count(*)的算法与列偏移量无关,所以count(*)最快,count(最后列val)最慢。
3、用实验验证上面的结论:
SQL> set serveroutput on
SQL> set echo on
SQL> drop table t purge; 表已删除。
----构造出有25个字段的表T----
DECLARE
l_sql VARCHAR2(32767);
BEGIN
l_sql := 'CREATE TABLE t (';
FOR i IN 1..25
LOOP
l_sql := l_sql || 'n' || i || ' NUMBER,';
END LOOP;
l_sql := l_sql || 'pad VARCHAR2(1000)) PCTFREE 10';
EXECUTE IMMEDIATE l_sql;
END;
12 / PL/SQL 过程已成功完成。
----将记录还有这个表T中填充----
DECLARE
l_sql VARCHAR2(32767);
BEGIN
l_sql := 'INSERT INTO t SELECT ';
FOR i IN 1..25
LOOP
l_sql := l_sql || '0,';
END LOOP;
l_sql := l_sql || 'NULL FROM dual CONNECT BY level <= 10000';
EXECUTE IMMEDIATE l_sql;
COMMIT;
END;
13 / PL/SQL 过程已成功完成。 execute dbms_stats.gather_table_stats(ownname=>user, tabname=>'t')
SELECT num_rows, blocks FROM user_tables WHERE table_name = 'T'; PL/SQL 过程已成功完成。 SQL>
NUM_ROWS BLOCKS
---------- ----------
10000 80
----以下动作观察执行速度,比较发现count(*)最快,count(最大列)最慢----
SQL> DECLARE
l_dummy PLS_INTEGER;
l_start PLS_INTEGER;
l_stop PLS_INTEGER;
l_sql VARCHAR2(100);
BEGIN
l_start := dbms_utility.get_time;
FOR j IN 1..1000
LOOP
EXECUTE IMMEDIATE 'SELECT count(*) FROM t' INTO l_dummy;
END LOOP;
l_stop := dbms_utility.get_time;
dbms_output.put_line((l_stop-l_start)/100);
14
FOR i IN 1..25
LOOP
l_sql := 'SELECT count(n' || i || ') FROM t';
l_start := dbms_utility.get_time;
FOR j IN 1..1000
LOOP
EXECUTE IMMEDIATE l_sql INTO l_dummy;
END LOOP;
l_stop := dbms_utility.get_time;
dbms_output.put_line((l_stop-l_start)/100);
END LOOP;
END;
27 /
.18
.33
.39
.38
.42
.4
.45
.49
.48
.46
.48
.48
.55
.51
.56
.57
.61
.62
.75
.67
.68
.7
.73
.78
.77
.81
PL/SQL 过程已成功完成。
三、验证count(*)和count(1)
沿用TOM大师的解释:



count(*)、count(val)和count(1)的解释的更多相关文章
- SQLSERVER 里SELECT COUNT(1) 和SELECT COUNT(*)哪个性能好?
SQLSERVER 里SELECT COUNT(1) 和SELECT COUNT(*)哪个性能好? 今天遇到某人在我以前写的一篇文章里问到 如果统计信息没来得及更新的话,那岂不是统计出来的数据时错误的 ...
- COUNT(*),count(1),COUNT(ALL expression),COUNT(DISTINCT expression)
创建一个测试表 IF OBJECT_ID( 'dbo.T1' , 'U' )IS NOT NULL BEGIN DROP TABLE dbo.T1; END; GO )); GO INSERT INT ...
- hql中不能写count(1)能够写count(a.id)
hql中不能写count(1)能够写count(a.id)里面写详细的属性 String hql="select new com.haiyisoft.vo.entity.cc.repo.Bu ...
- count(*)、count(1)和count(列名)的区别
count(*).count(1)和count(列名)的区别 1.执行效果上: l count(*)包括了所有的列,相当于行数,在统计结果的时候,不会忽略列值为NULL l count(1)包 ...
- 今天犯了个小错误:_dataArray.count>1 和_dataArray.count>0搞混淆了
_dataArray.count>1 和_dataArray.count>0搞混淆了:当数据为一条时,条件不成立.应该_dataArray.count>=1 或者>0 ( ...
- COUNT(*)、COUNT(主键)、COUNT(1)
MyISAM引擎,记录数是结构的一部分,已存cache在内存中; InnoDB引擎,需要重新计算,id是主键的话,会加快扫描速度: 所以select count(*) MyISAM完胜! MyISA ...
- 【优化】COUNT(1)、COUNT(*)、COUNT(常量)、COUNT(主键)、COUNT(ROWID)、COUNT(非空列)、COUNT(允许为空列)、COUNT(DISTINCT 列名)
[优化]COUNT(1).COUNT(*).COUNT(常量).COUNT(主键).COUNT(ROWID).COUNT(非空列).COUNT(允许为空列).COUNT(DISTINCT 列名) 1. ...
- oracle count(*) 和count(列)性能
一直以为oracle中count(列)比count(*) 快,这篇文件解释了一下: http://blog.csdn.net/szstephenzhou/article/details/8446481
- COUNT(*),count(1),COUNT(ALL expression),COUNT(DISTINCT expression) BY Group by
select column_2,count(column_2) as 'count(column_2)' ,count(column_1) as 'count(column_1)' ,count(*) ...
随机推荐
- form表单中控件较多,加载完成后切换页面都很慢的解决方法
form表单中控件较多,加载完成后点击都很慢,为什么?我一页面中form表单里面上百个控件(如input.select.radio.checkbox等),还有一些js脚本,加载速度还可以,都能全部显示 ...
- 取计算机特征码(网卡MAC、硬盘序列号、CPU ID、BIOS编号)
以下代码可以取得系统特征码(网卡MAC.硬盘序列号.CPU ID.BIOS编号) BYTE szSystemInfo[4096]; // 在程序执行完毕后,此处存储取得的系统特征码 UINT u ...
- 经过各种坑之后centos+ uwsgi + nginx +django 终于配好了
https://pypi.python.org/pypi/setuptools#downloads https://www.python.org/ftp/python/ 开机 加入 uwsgi ngi ...
- Pytho实现tail -f
实现Python版的tail -f功能 tail -f 的功能非常好用.我们用Python也可以实现这样的功能.实现的原理是通过Python版本的inotify获得文件的更新消息,从而读取更新的行.p ...
- BeanUtils设置字段值失败问题
package org.apache.commons.beanutils; import static org.junit.Assert.*; import java.beans.BeanInfo; ...
- 《数据结构与算法分析:C语言描述_原书第二版》CH2算法分析_课后习题_部分解答
对于一个初学者来说,作者的Solutions Manual把太多的细节留给了读者,这里尽自己的努力给出部分习题的详解: 不当之处,欢迎指正. 1. 按增长率排列下列函数:N,√2,N1.5,N2,N ...
- Java初学--无限循环
利用for循环和while循环分别做到,从键盘读取任意数,输入0自动跳出无限循环,并判断有几个正数几个负数. 1.for循环的无限循环: import java.util.Scanner;//引用Sc ...
- ASP.NET的一般处理程序对图片文件的基本操作
以一个小项目为例: 验证码: public class VerifyCodeHelper { public VerifyCodeHelper() { this.ran = new Random(); ...
- C++之路进阶——优先队列优化最短路径算法(dijkstra)
一般的dijkstra算法利用贪心的思想,每次找出最短边,然后优化到其他点的的距离,我们还采用贪心思路,但在寻找最短边进行优化,之前是双重for循环,现在我们用优先队列来实现. 代码解释: //样例程 ...
- 。。。Spring框架总结(一)。。。
Spring框架已经学习了两遍了,第一遍基本上忘得差不多了,现在开始复习第二遍的,也复习的差不多了,比之前懂了很多东西,今天就写下来,记录一下我滴小成果! 首先,在Spring框架中有两个重要的概念: ...