使用慢日志查询的 PHP Mysql 优化

Posted

技术标签:

【中文标题】使用慢日志查询的 PHP Mysql 优化【英文标题】:PHp Mysql OPtimization using slow-log-query 【发布时间】:2011-02-11 07:48:35 【问题描述】:

您好,我仍在研究 mysql 性能,目前我开始检查 mysql 服务器上的 -log-slow-query 命令。

它会返回下一个结果:

/usr/sbin/mysqld,版本:5.0.81-community-log(MySQL 社区版(GPL))。开始于:

Tcp port: 0  Unix socket: (null)
Time                 Id Command    Argument
110211  0:28:16       1 Connect     promls_sysdba@localhost on 
              1 Query       SET NAMES utf8
              1 Init DB     promls_box
              1 Query       select id , fullname from users where company_id = 7
              1 Query       SELECT FOUND_ROWS() AS total_results
              1 Query       select id , name from groups where company_id = 7 and context = "agency"
              1 Query       SELECT FOUND_ROWS() AS total_results
110211  0:28:26       1 Query       SET NAMES utf8
              1 Init DB     promls_box
              1 Query       SELECT  SQL_CALC_FOUND_ROWS property_id, property_type,property_name, bathrooms, bedrooms, for_sale, for_rent, for_vacational, units, 
                            city,estate,country, rent_price, sale_price, min_price,mid_price, hig_price, max_sale,min_sale, min_rent, max_rent, min_vrental,max_vrental,
                            negotiation,property_status,
                            category_es category, image, dev_logo, inventory,company_id,broker_id FROM property_listing  where property_status in('active','active-rented','active-sold')   group by parent   order by min_price asc, mid_price asc, hig_price asc, rent_price asc, sale_price asc  limit 10, 10
              1 Query       SELECT FOUND_ROWS() AS total_results
              1 Query       SET NAMES utf8
              1 Init DB     promls_box
              1 Query       select st.id estate_id,st.description estate from active_locations group by estate_id
              1 Query       SELECT FOUND_ROWS() AS total_results
              1 Query       select city_id , city  from active_locations where estate_id =272 group by city_id
              1 Query       SELECT FOUND_ROWS() AS total_results
              1 Query       SET NAMES utf8
              1 Init DB     promls_box
              1 Query       select f.id, f.name_es as name from families f inner join category_types ct on ct.category = f.id where type='category' group by f.id
              1 Query       SELECT FOUND_ROWS() AS total_results
              1 Query       select t.id, t.name_es as name from property_types t inner join category_types ct on ct.property_type = t.id where  ct.category =12
              1 Query       SELECT FOUND_ROWS() AS total_results
110211  0:28:56       2 Connect     root@localhost on 
              2 Query       select id_area , description from areas where parent_area = 2
              2 Quit       
110211  0:28:58       1 Quit       
110211  0:29:01       3 Connect     promls_sysdba@localhost on 
              3 Query       SET NAMES utf8
              3 Init DB     promls_box
              3 Query       select id , fullname from users where company_id = 7
              3 Query       SELECT FOUND_ROWS() AS total_results
              3 Query       select id , name from groups where company_id = 7 and context = "agency"
              3 Query       SELECT FOUND_ROWS() AS total_results
110211  0:29:43       4 Connect     viva_webjun@localhost on 
              4 Init DB     viva_blogen
              4 Query       SET NAMES utf8
              4 Query       select name, val from txp_prefs where prefs_id=1 AND user_name=''
              4 Query       select name, data from txp_lang where lang='en-gb' AND ( event='public' OR event='common')
              4 Query       select name, code, version from txp_plugin where status = 1 AND type IN (0,1) order by load_order
              4 Query       select page, css from txp_section where name = 'default' limit 1
              4 Query       select unix_timestamp(val) from txp_prefs where `name` = 'lastmod' limit 1
              4 Query       select name from txp_section where in_rss != '1'
              4 Query       select *, unix_timestamp(Posted) as uPosted, unix_timestamp(LastMod) as uLastMod, unix_timestamp(Expires) as uExpires, ID as thisid from textpattern where Status = 4 and Section != 'about'  and Posted < now() and (now() <= Expires or Expires = '0000-00-00 00:00:00') order by Posted desc limit 5
              4 Query       select RealName from txp_users where `name` = 'webjunkie01' limit 1
              4 Query       select unix_timestamp(Posted) from textpattern where Posted <= now() and Status >= 4 order by Posted desc limit 1
              4 Quit       
110211  0:29:44       5 Connect     viva_webjun@localhost on 
              5 Init DB     viva_blogen
              5 Query       SET NAMES utf8
              5 Query       select name, val from txp_prefs where prefs_id=1 AND user_name=''
              5 Query       select name, data from txp_lang where lang='en-gb' AND ( event='public' OR event='common')
              5 Query       select name, code, version from txp_plugin where status = 1 AND type IN (0,1) order by load_order
              5 Query       select page, css from txp_section where name = 'default' limit 1
              5 Query       select unix_timestamp(val) from txp_prefs where `name` = 'lastmod' limit 1
              5 Query       select name from txp_section where in_rss != '1'
              5 Query       select *, unix_timestamp(Posted) as uPosted, unix_timestamp(LastMod) as uLastMod, unix_timestamp(Expires) as uExpires, ID as thisid from textpattern where Status = 4 and Section != 'about'  and Posted < now() and (now() <= Expires or Expires = '0000-00-00 00:00:00') order by Posted desc limit 5
              5 Query       select RealName from txp_users where `name` = 'webjunkie01' limit 1
              5 Query       select unix_timestamp(Posted) from textpattern where Posted <= now() and Status >= 4 order by Posted desc limit 1
              5 Quit       
110211  0:30:02       6 Connect     root@localhost on 
              6 Query       show processlist
              6 Quit       
110211  0:32:28       3 Quit       
              7 Connect     promls_sysdba@localhost on 
              7 Query       SET NAMES utf8
              7 Init DB     promls_box
              7 Query       select id , fullname from users where company_id = 7
              7 Query       SELECT FOUND_ROWS() AS total_results
              7 Query       select id , name from groups where company_id = 7 and context = "agency"
              7 Query       SELECT FOUND_ROWS() AS total_results
110211  0:33:02       7 Query       SET NAMES utf8
              7 Init DB     promls_box
              7 Query       SET NAMES utf8
              7 Init DB     promls_box
              7 Query       SET NAMES utf8
              7 Init DB     promls_box
              7 Query       select * from message_listing where (company_id = 7 or agency_id =7 ) and ( broker_id =2 ) and readed !=1 limit 0,5
              7 Query       SELECT FOUND_ROWS() AS total_results
              7 Query       SET NAMES utf8
              7 Init DB     promls_box
              7 Query       select * from message_listing  where message_type = 'networking' and (category_message ='all' or (category_message='city' and area_id = 588  ) or (category_message='estate' and area_id = 272 ) or (category_message='agency' and company_id = 7 ))  limit 0,5
              7 Query       SELECT FOUND_ROWS() AS total_results
              7 Query       SET NAMES utf8
              7 Init DB     promls_box
              7 Query       select SQL_CALC_FOUND_ROWS id , name, contact, email_contact, phone_contact, address, phone,
            fax, email, website, creation_date, last_modification, area_id,  area, status , logo, type, owner_id, users,
              creator, creator_id
    from companies_listing where  status = 'active' and type in( 'sponsor' )
              7 Query       SELECT FOUND_ROWS() AS total_results
110211  0:34:20       7 Quit       
110211  0:34:44       8 Connect     promls_sysdba@localhost on 
              8 Query       SET NAMES utf8
              8 Init DB     promls_box
              8 Query       select id , fullname from users where company_id = 7
              8 Query       SELECT FOUND_ROWS() AS total_results
              8 Query       select id , name from groups where company_id = 7 and context = "agency"
              8 Query       SELECT FOUND_ROWS() AS total_results
110211  0:35:01       9 Connect     root@localhost on 
              9 Query       show processlist
              9 Quit       
110211  0:35:16       8 Query       SET NAMES utf8
              8 Init DB     promls_box
              8 Query       SELECT  SQL_CALC_FOUND_ROWS property_id, property_type,property_name, bathrooms, bedrooms, for_sale, for_rent, for_vacational, units, 
                            city,estate,country, rent_price, sale_price, min_price,mid_price, hig_price, max_sale,min_sale, min_rent, max_rent, min_vrental,max_vrental,
                            negotiation,property_status,
                            category_es category, image, dev_logo, inventory,company_id,broker_id FROM property_listing  where property_status in('active','active-rented','active-sold')   group by parent   order by min_price asc, mid_price asc, hig_price asc, rent_price asc, sale_price asc  limit 0, 10
110211  0:35:17       8 Query       SELECT FOUND_ROWS() AS total_results
              8 Query       SET NAMES utf8
              8 Init DB     promls_box
              8 Query       select st.id estate_id,st.description estate from active_locations group by estate_id
              8 Query       SELECT FOUND_ROWS() AS total_results
              8 Query       select city_id , city  from active_locations where estate_id =272 group by city_id
              8 Query       SELECT FOUND_ROWS() AS total_results
              8 Query       SET NAMES utf8
              8 Init DB     promls_box
              8 Query       select f.id, f.name_es as name from families f inner join category_types ct on ct.category = f.id where type='category' group by f.id
              8 Query       SELECT FOUND_ROWS() AS total_results
              8 Query       select t.id, t.name_es as name from property_types t inner join category_types ct on ct.property_type = t.id where  ct.category =12
              8 Query       SELECT FOUND_ROWS() AS total_results
110211  0:35:43      10 Connect     promls_sysdba@localhost on 
             10 Query       SET NAMES utf8
             10 Init DB     promls_box
             10 Query       select id , fullname from users where company_id = 7
             10 Query       SELECT FOUND_ROWS() AS total_results
             10 Query       select id , name from groups where company_id = 7 and context = "agency"
             10 Query       SELECT FOUND_ROWS() AS total_results
              8 Quit       
110211  0:36:08      10 Query       SET NAMES utf8
             10 Init DB     promls_box
             10 Query       SELECT  SQL_CALC_FOUND_ROWS property_id, property_type,property_name, bathrooms, bedrooms, for_sale, for_rent, for_vacational, units, 
                            city,estate,country, rent_price, sale_price, min_price,mid_price, hig_price, max_sale,min_sale, min_rent, max_rent, min_vrental,max_vrental,
                            negotiation,property_status,
                            category_es category, image, dev_logo, inventory,company_id,broker_id FROM property_listing  where property_status in('active','active-rented','active-sold')   group by parent   order by min_price asc, mid_price asc, hig_price asc, rent_price asc, sale_price asc  limit 0, 10
             10 Query       SELECT FOUND_ROWS() AS total_results
             10 Query       SET NAMES utf8
             10 Init DB     promls_box
             10 Query       select st.id estate_id,st.description estate from active_locations group by estate_id
             10 Query       SELECT FOUND_ROWS() AS total_results
             10 Query       select city_id , city  from active_locations where estate_id =272 group by city_id
             10 Query       SELECT FOUND_ROWS() AS total_results
             10 Query       SET NAMES utf8
             10 Init DB     promls_box
             10 Query       select f.id, f.name_es as name from families f inner join category_types ct on ct.category = f.id where type='category' group by f.id
             10 Query       SELECT FOUND_ROWS() AS total_results
             10 Query       select t.id, t.name_es as name from property_types t inner join category_types ct on ct.property_type = t.id where  ct.category =12
             10 Query       SELECT FOUND_ROWS() AS total_results
110211  0:36:21      10 Quit       
110211  0:36:22      11 Connect     promls_sysdba@localhost on 
             11 Query       SET NAMES utf8
             11 Init DB     promls_box
             11 Query       select id , fullname from users where company_id = 7
             11 Query       SELECT FOUND_ROWS() AS total_results
             11 Query       select id , name from groups where company_id = 7 and context = "agency"
             11 Query       SELECT FOUND_ROWS() AS total_results

php 到 mysql 的连接似乎需要很长时间,我该如何解决?

【问题讨论】:

你能以更易读的方式格式化日志文件吗? (这里,在***上) 这不是慢查询日志,而是查询日志 我不知道如何格式化。顺便说一句,我不知道它是否是一个日志,只有当我将下一个选项传递给 mysql restart 命令时才会创建这个文件:-log-slow-query 它为我创建了一个名为:og-slow-query 准备好修复日志慢查询的格式 @Angel Estrada:不是慢查询日志。 【参考方案1】:

我发现您的日志更令人困惑而不是有用;这些查询看起来都不是特别复杂,但话又说回来,我不知道你的表结构是什么样的,你有多少服务器负载,或者你的表中有多少记录。如果查询本身实际上运行得很慢,您可能需要查看您的表是否已正确索引。如果您在 google 上搜索 mysql 索引,您可以找到大量信息,如果您真的想深入了解,请查看这本电子书: http://sql-performance-explained.com/

我还注意到有一些查询同时使用 ORDER BY 和 LIMIT 语句。在这种情况下,您应该查看这两个命令之间的关系,以及如何优化这些类型的查询。查看此网站了解更多信息:

http://www.mysqlperformanceblog.com/2006/09/01/order-by-limit-performance-optimization/

但如果不是查询,也许是因为您建议 MySQL 很难创建与数据库的连接。如果您有很多用户,可能是您的可用连接太少,您需要增加 MySQL 允许的并发连接数。看看这里如何做到这一点:

http://rackerhacker.com/2007/01/24/increase-mysql-connection-limit/

另一方面,如果连接数据库需要很长时间,您可能需要考虑在 PHP 应用程序中使用持久连接。

http://php.net/manual/en/features.persistent-connections.php

这些可以减少 PHP 连接数据库所花费的时间。或者,如果您已经在使用持久连接,那么可能是您的 PHP 代码中存在错误,该错误正在创建连接、启动事务,但随后保持它并占用连接,没有留下可用的连接其他用户。确保在 PHP 应用程序与数据库交互时使用正确的错误处理。

再次重申,这些只是我根据您展示的内容做出的一些最佳猜测。我希望它能让你朝着正确的方向前进。

【讨论】:

【参考方案2】:

我继承了一个糟糕的 PHP 后端,它有数百次查询数据库的错误(站点索引页面最多 600 次)。客户不会为必要的后端重写付费,但我想加快速度。

查询都很小,在一个小型数据库上,但后端连接并为每个查询选择一个数据库。

我编写了以下快速代码来最小化这部分流量:

function DBConnectOnce($dbhost, $dbname, $dbuser, $dbpasswd) 
    $GLOBALS['dbrecord_Debug'] = ($dbDebug == 'true'); // @TODO better way to handle this within the class?
    if(isset($GLOBALS['DBRECORDCONFIGSTATUS'])&&$GLOBALS['DBRECORDCONFIGSTATUS']==$dbuser.$dbname.$dbhost)//check to see if the connectionon the proper type has been made.
        $dblink=unserialize($GLOBALS['DBRECORDCONNECTION']);
     else 
        $GLOBALS['DBRECORDCONFIGSTATUS']=$dbuser.$dbname.$dbhost;
        $GLOBALS['DBRECORDCONNECTION']=serialize($dblink = mysql_connect($dbhost, $dbuser, $dbpasswd));

        if($dblink === false) 
            trigger_error("DBConnectOnce: Unable to connect to database server - ".mysql_error(), E_USER_ERROR);
        

        if(!mysql_select_db($dbname)) 
            trigger_error("DBConnectOnce: Unable to select database - $dbname at $dbhost", E_USER_ERROR);
        
    
return $dblink;


它使用全局变量来检查您已经建立的数据库连接类型,如果它与您需要建立的数据库连接类型匹配,则使用它。

【讨论】:

以上是关于使用慢日志查询的 PHP Mysql 优化的主要内容,如果未能解决你的问题,请参考以下文章

「mysql优化专题」什么是慢查询?如何通过慢查询日志优化?(10)

mysql数据库优化之开启慢查询日志

MySQL优化--02----慢SQL定位慢查询日志

MySQL数据优化总结-查询备忘录

Mysql优化之慢查询优化

如何开启MySQL慢查询日志