


There are two ways to perform paging queries in mysql. One is to use COUNT(*). The specific code is as follows
SELECT COUNT(*) FROM foo WHERE b = 1;
SELECT a FROM foo WHERE b = 1 LIMIT 100,10;
Another way is to use SQL_CALC_FOUND_ROWS
SELECT SQL_CALC_FOUND_ROWS a FROM foo WHERE b = 1 LIMIT 100, 10;
SELECT FOUND_ROWS();
After calling SQL_CALC_FOUND_ROWS in the second way, the number of rows queried by the WHERE statement will be placed in FOUND_ROWS(). The second time you only need to query FOUND_ROWS() to find out How many lines are there?
Discuss the advantages and disadvantages of these two methods:
First of all, in terms of atomicity, the second one is definitely better than the first one. The second type can ensure the atomicity of the query statement. The first type will naturally cause inaccurate results when additional operations modify the table between the two requests. The second type will not. But it is a pity that when a general page needs to be displayed in paging, the paging results are often not required to be very accurate. That is, it does not matter whether the total number returned by paging is 1 larger or smaller than 1. So in fact, atomicity is not the focus of our paging.
Look at the efficiency below. This is very important. The paging operation is used very heavily on every website, and the query volume is naturally also large. Since no matter which type, the paging operation will inevitably involve two SQL queries, there are many comparisons about the performance of the two queries:
Is SQL_CALC_FOUND_ROWS really slow?
http://hi.baidu.com/thinkinginlamp/item/b122fdaea5ba23f614329b14
To SQL_CALC_FOUND_ROWS or not to SQL_CALC_FOUND_ROWS?
http://www.mysqlperformanceblog.com/2007/08/28/to-sql_calc_found_rows-or-not-to-sql_calc_found_rows/
Lao Wang’s article mentioned the concept of covering index. Simply put, it means how to only make the query return the results according to the index without performing table query
See his other article for details:
MySQL Covering Index
http://hi.baidu.com/thinkinginlamp/item/1b9aaf09014acce0f45ba6d3
Experiment
Combined these articles and conducted an experiment:
Table:
CREATE TABLE IF NOT EXISTS `foo ` (
`a` int(10) unsigned NOT NULL AUTO_INCREMENT,
`b` int(10) unsigned NOT NULL,
`c` varchar(100) NOT NULL,
PRIMARY KEY ( `a`),
KEY `bar` (`b`,`a`)
) ENGINE=MyISAM;
Note that b and a are used to create an index. , so the covering index will not be used when querying select *. Only when selecting a will the covering index
$host = '192.168.100.166';
$dbName = 'test';
$user = 'root';
$password = '';
$db = mysql_connect($host, $user, $password) or die('DB connect failed');
mysql_select_db($dbName, $db);
echo '============================================' . "rn";
$start = microtime(true);
for ($i =0; $i mysql_query("SELECT SQL_NO_CACHE COUNT(*) FROM foo WHERE b = 1");
mysql_query("SELECT SQL_NO_CACHE a FROM foo WHERE b = 1 LIMIT 100,10");
}
$end = microtime(true);
echo $end - $start . "rn";
echo '================================ ==========' . "rn";
$start = microtime(true);
for ($i =0; $i mysql_query("SELECT SQL_NO_CACHE SQL_CALC_FOUND_ROWS a FROM foo WHERE b = 1 LIMIT 100, 10");
mysql_query("SELECT FOUND_ROWS()");
}
$end = microtime(true);
echo $end - $start . "rn";
echo '============================ ==============' . "rn";
$start = microtime(true);
for ($i =0; $i mysql_query("SELECT SQL_NO_CACHE COUNT(*) FROM foo WHERE b = 1");
mysql_query("SELECT SQL_NO_CACHE * FROM foo WHERE b = 1 LIMIT 100,10");
}
$end = microtime(true);
echo $end - $start . "rn";
echo '================== =========================' . "rn";
$start = microtime(true);
for ( $i =0; $i mysql_query("SELECT SQL_NO_CACHE SQL_CALC_FOUND_ROWS * FROM foo WHERE b = 1 LIMIT 100, 10");
mysql_query("SELECT FOUND_ROWS()");
}
$end = microtime(true);
echo $end - $start . "rn";
The returned result:

It’s the same as what Lao Wang’s article said. The fourth query of SQL_CALC_FOUND_ROWS not only does not use the covering index, but also requires a full table query, and the third query of COUNT(*), and select * uses index, and does not perform a full table query, so it is so large difference.
Summary
PS: Also a reminder, there will be such a big difference between queries three and four when using MyISAM, but if you use InnoDB, there will not be such a big difference.
So I came to the conclusion that if the database is InnoDB, I still tend to use SQL_CALC_FOUND_ROWS
Conclusion: The performance of SQL_CALC_FOUND_ROWS and COUNT(*) is high when both covering index is used, and the performance of the latter is high when covering index is not used. So pay attention to this when using it.

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在mysql中,可以利用char()和REPLACE()函数来替换换行符;REPLACE()函数可以用新字符串替换列中的换行符,而换行符可使用“char(13)”来表示,语法为“replace(字段名,char(13),'新字符串') ”。

方法:1、利用right函数,语法为“update 表名 set 指定字段 = right(指定字段, length(指定字段)-1)...”;2、利用substring函数,语法为“select substring(指定字段,2)..”。

mysql的msi与zip版本的区别:1、zip包含的安装程序是一种主动安装,而msi包含的是被installer所用的安装文件以提交请求的方式安装;2、zip是一种数据压缩和文档存储的文件格式,msi是微软格式的安装包。

转换方法:1、利用cast函数,语法“select * from 表名 order by cast(字段名 as SIGNED)”;2、利用“select * from 表名 order by CONVERT(字段名,SIGNED)”语句。

本篇文章给大家带来了关于mysql的相关知识,其中主要介绍了关于MySQL复制技术的相关问题,包括了异步复制、半同步复制等等内容,下面一起来看一下,希望对大家有帮助。

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在mysql中,可以利用REGEXP运算符判断数据是否是数字类型,语法为“String REGEXP '[^0-9.]'”;该运算符是正则表达式的缩写,若数据字符中含有数字时,返回的结果是true,反之返回的结果是false。


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