MySQL的排序+集团通过大幅减慢查询

我有以下查询，尽管它的复杂性，在下面的形状表现良好：MySQL的排序+集团通过大幅减慢查询

SELECT 

`listings`.*, 
`auth_agents`.*, 
`symbols`.`code` AS `symbol_code`, 
`symbols`.`text` AS `symbol_text`, 
`symbols`.`position` AS `symbol_position`, 
GROUP_CONCAT(DISTINCT IFNULL(`categories_countries`.`translation`, `c`.`name`) ORDER BY CASE WHEN `c`.`category_id` = 106 THEN 1 ELSE `c`.`category_id` END) as `category_names`, 
`pv_1`.`value` AS `transaction_type_name`, 
`pv_2`.`value` AS `property_type_name`, 
`listings_statuses`.`name` AS `status`, 
CONCAT(`pv_3`.`value`, 'property/', `listings`.`slug`, '/', `listings`.`listing_id`) AS `url`, 
price_range(`listings`.`price_sales_min`, `listings`.`price_sales`, `symbols`.`code`, `symbols`.`position`, `listings`.`listings_price_qualifier_id`) AS `price_sales_range`, 
price_range(`listings`.`price_lettings_min`, `listings`.`price_lettings`, `symbols`.`code`, `symbols`.`position`, `listings`.`listings_price_qualifier_id`) AS `price_lettings_range`, 
summary(`listings`.`description`, `listings`.`summary`) AS `summary`, 
short_title(`categories`.`name`, `categories`.`title`, `pv_1`.`value`, `listings`.`city`, `listings`.`region`, `listings`.`area`) AS `short_title`, 
IF(`listings`.`listings_price_qualifier_id` = 2, TRUE, FALSE) AS `POA`, 
IF((SELECT `listings_categories`.`listing_id` FROM `listings_categories` WHERE `listings_categories`.`listing_id` = `listings`.`listing_id` AND `listings_categories`.`category_id` = 124 LIMIT 1) IS NOT NULL, TRUE, FALSE) AS `serviced_office`, 

GROUP_CONCAT(DISTINCT CONCAT_WS('|', `auth_agents_staff`.`auth_agents_staff_id`, `auth_staff`.`f_name`, `auth_staff`.`l_name`, `auth_staff`.`photo`)) AS `agents_staff`, 
(SELECT CONCAT('http://cdn.commercialpeople.com/images/', `listings`.`auth_agent_id`, '/', `listings_media`.`filename`) FROM `listings_media` WHERE `listings_media`.`listing_id` = `listings`.`listing_id` ORDER BY `default` DESC LIMIT 1) AS `image`, 
(SELECT COUNT(`listings_media`.`listings_media_id`) FROM `listings_media` WHERE `listings_media`.`listing_id` = `listings`.`listing_id` AND `listings_media`.`listings_media_type_id` = 1) AS `image_count`, 
(SELECT COUNT(`listings_media`.`listings_media_id`) FROM `listings_media` WHERE `listings_media`.`listing_id` = `listings`.`listing_id` AND `listings_media`.`listings_media_type_id` = 3) AS `pdf_count`, 
(SELECT COUNT(`listings_media`.`listings_media_id`) FROM `listings_media` WHERE `listings_media`.`listing_id` = `listings`.`listing_id` AND `listings_media`.`listings_media_type_id` = 4) AS `floor_plan_count`, 


distance(`listings`.`lat`, `listings`.`lng`, 51.5073500, -0.1277600) AS `distance` 

FROM `listings` 
JOIN `listings_coords` ON `listings_coords`.`listing_id` = `listings`.`listing_id` 

JOIN `auth_agents` ON `listings`.`auth_agent_id` = `auth_agents`.`auth_agent_id` 
JOIN `branches` USING (`branch_id`) 
LEFT JOIN `listings_auth_agents_staff` ON `listings_auth_agents_staff`.`listing_id` = `listings`.`listing_id` 
LEFT JOIN `auth_agents_staff` ON `listings_auth_agents_staff`.`listing_id` IS NOT NULL AND `listings_auth_agents_staff`.`auth_agents_staff_id` = `auth_agents_staff`.`auth_agents_staff_id` 
LEFT JOIN `auth` AS `auth_staff` ON `listings_auth_agents_staff`.`listing_id` IS NOT NULL AND `auth_agents_staff`.`auth_agents_staff_id` IS NOT NULL AND 
`auth_staff`.`auth_id` = `auth_agents_staff`.`auth_id` 

JOIN `parameters_values` AS `pv_1` 
ON `pv_1`.`parameter_id` = 2 AND `pv_1`.`country_id` = 223 AND `pv_1`.`key` = `listings`.`transaction_type` 

JOIN `parameters_values` AS `pv_2` 
ON `pv_2`.`parameter_id` = 1 AND `pv_2`.`country_id` = 223 AND `pv_2`.`key` = `listings`.`property_type` 

JOIN `parameters_values` AS `pv_3` 
ON `pv_3`.`parameter_id` = 5 AND `pv_2`.`country_id` = 223 

JOIN `countries` ON `listings`.`country_id` = `countries`.`country_id` 
JOIN `countries_symbols` ON `countries`.`country_id` = `countries_symbols`.`country_id` 
JOIN `symbols` ON `countries_symbols`.`symbol_id` = `symbols`.`symbol_id` 

JOIN `listings_units` ON `listings`.`listings_unit_id` = `listings_units`.`listings_unit_id` 

JOIN `listings_units` AS `user_units` ON `user_units`.`listings_unit_id` = 2 


JOIN `listings_statuses` ON `listings`.`listings_status_id` = `listings_statuses`.`listings_status_id` 
LEFT JOIN `listings_statuses_countries` ON `listings_statuses`.`listings_status_id` = `listings_statuses_countries`.`listings_status_id` 
AND `listings_statuses_countries`.`country_id` = '223' 

JOIN `listings_categories` ON `listings_categories`.`listing_id` = `listings`.`listing_id` 
JOIN `categories` ON `categories`.`category_id` = `listings_categories`.`category_id` 

JOIN `listings_categories` AS `lc` ON `lc`.`listing_id` = `listings`.`listing_id` 
JOIN `categories` AS `c` ON `c`.`category_id` = `lc`.`category_id` 
LEFT JOIN `categories_countries` ON `c`.`category_id` = `categories_countries`.`category_id` AND `categories_countries`.`country_id` = '223' 

LEFT JOIN `listings_lettings` 
ON (`listings`.`transaction_type` = 2 OR `listings`.`transaction_type` = 3) AND `listings_lettings`.`listing_id` = `listings`.`listing_id` 
LEFT JOIN `listings_lettings_rent_frequencies` 
ON (`listings`.`transaction_type` = 2 OR `listings`.`transaction_type` = 3) AND `listings_lettings_rent_frequencies`.`listings_lettings_rent_frequency_id` = `listings_lettings`.`listings_lettings_rent_frequency_id` 

LEFT JOIN `listings_lettings_rent_frequencies` AS `llrf` ON `llrf`.`listings_lettings_rent_frequency_id` = 2 
WHERE `listings`.`active` = 1 AND `listings`.`published_flag` = 1 AND 
`listings`.`listings_status_id` = 1 AND 
`listings`.`lat` BETWEEN 51.333436956522 AND 51.681263043478 AND 
`listings`.`lng` BETWEEN -0.40717687879372 AND 0.15165687879372 AND 
st_within(`listings_coords`.`coords`, @poly) AND 

IF (`listings`.`transaction_type` = 2 || `listings`.`transaction_type` = 3, 
`listings`.`price_lettings` * `listings_lettings_rent_frequencies`.`months` >= `llrf`.`months` * 500, 
TRUE 
) AND 
IF(`listings_units`.`meters` IS NULL, TRUE, `listings`.`max_size` * `listings_units`.`meters` >= 100 * `user_units`.`meters`) AND 
`listings`.`country_id` = 223 

GROUP BY `listings`.`listing_id` 
ORDER BY `listings`.`created_at` 
LIMIT 10;

正如你可以看到，第一个查询抓住多边形然后通过空间函数用于多边形搜索。查询以0.06秒的时间执行。

但是，添加任何ORDER BY子句会导致性能急剧下降并最终在17秒内执行。

现在 - 我做了一些研究，我知道这可能是与任何聚簇索引或只是增加一般正确的索引做，但小时后，花了试图要么只返回的ID，然后运行另一个查询获取数据或简单地删除GROUP BY并删除联接（这似乎起初工作，但当我加入几张表进行价格搜索时出现了另一个性能问题） - 我放弃了。

我试图不进行分组，然后组的结果运行一个查询，如：

SELECT * FROM (*the query*) AS results GROUP BY listing_id

但我得到了几乎相同的结果。

有没有一种方法来优化查询，所以我可以做分组和排序？

这里是解释一下：

| 1 | PRIMARY   | countries       | const | PRIMARY                   | PRIMARY        | 4  | const               | 1 | Using index; Using temporary; Using filesort        | 
    | 1 | PRIMARY   | user_units       | const | PRIMARY                   | PRIMARY        | 4  | const               | 1 | NULL                  | 
    | 1 | PRIMARY   | listings_statuses     | const | PRIMARY                   | PRIMARY        | 4  | const               | 1 | NULL                  | 
    | 1 | PRIMARY   | listings_statuses_countries  | const | PRIMARY,country_id                | PRIMARY        | 8  | const,const              | 1 | Using index                | 
    | 1 | PRIMARY   | countries_symbols     | ref | PRIMARY,symbol_id                 | PRIMARY        | 4  | const               | 1 | Using index                | 
    | 1 | PRIMARY   | symbols       | eq_ref | PRIMARY                   | PRIMARY        | 4  | cp_staging.countries_symbols.symbol_id       | 1 | NULL                  | 
    | 1 | PRIMARY   | pv_2        | ref | parameter_id,country_id               | parameter_id       | 8  | const,const              | 2 | NULL                  | 
    | 1 | PRIMARY   | pv_1        | ref | parameter_id,country_id               | parameter_id       | 8  | const,const              | 3 | NULL                  | 
    | 1 | PRIMARY   | pv_3        | ref | parameter_id                  | parameter_id       | 4  | const               | 4 | NULL                  | 
    | 1 | PRIMARY   | listings       | range | SEE BELOW                   | compound        | 20  | NULL                | 2594 | Using index condition; Using where; Using join buffer (Block Nested Loop) | 
    | 1 | PRIMARY   | listings_units      | eq_ref | PRIMARY                   | PRIMARY        | 4  | cp_staging.listings.listings_unit_id        | 1 | Using where                | 
    | 1 | PRIMARY   | listings_coords     | eq_ref | PRIMARY,coords                 | PRIMARY        | 4  | cp_staging.listings.listing_id         | 1 | Using where                | 
    | 1 | PRIMARY   | auth_agents      | eq_ref | PRIMARY                   | PRIMARY        | 4  | cp_staging.listings.auth_agent_id        | 1 | NULL                  | 
    | 1 | PRIMARY   | branches       | eq_ref | PRIMARY                   | PRIMARY        | 4  | cp_staging.listings.branch_id         | 1 | Using index                | 
    | 1 | PRIMARY   | listings_categories    | ref | PRIMARY,listings_categories_category_id_foreign         | PRIMARY        | 4  | cp_staging.listings.listing_id         | 1 | Using index                | 
    | 1 | PRIMARY   | lc         | ref | PRIMARY,listings_categories_category_id_foreign         | PRIMARY        | 4  | cp_staging.listings.listing_id         | 1 | Using index                | 
    | 1 | PRIMARY   | listings_auth_agents_staff   | ref | PRIMARY                   | PRIMARY        | 4  | cp_staging.listings.listing_id         | 1 | Using index                | 
    | 1 | PRIMARY   | categories       | eq_ref | PRIMARY                   | PRIMARY        | 4  | cp_staging.listings_categories.category_id      | 1 | NULL                  | 
    | 1 | PRIMARY   | c         | eq_ref | PRIMARY                   | PRIMARY        | 4  | cp_staging.lc.category_id          | 1 | NULL                  | 
    | 1 | PRIMARY   | auth_agents_staff     | eq_ref | PRIMARY                   | PRIMARY        | 4  | cp_staging.listings_auth_agents_staff.auth_agents_staff_id  | 1 | Using where                | 
    | 1 | PRIMARY   | auth_staff       | eq_ref | PRIMARY                   | PRIMARY        | 4  | cp_staging.auth_agents_staff.auth_id        | 1 | Using where                | 
    | 1 | PRIMARY   | categories_countries    | eq_ref | PRIMARY,categories_countries_country_id_foreign         | PRIMARY        | 8  | cp_staging.lc.category_id,const         | 1 | NULL                  | 
    | 1 | PRIMARY   | listings_lettings     | ref | listings_lettings_listing_id_foreign            | listings_lettings_listing_id_foreign | 4  | cp_staging.listings.listing_id         | 1 | Using where                | 
    | 1 | PRIMARY   | listings_lettings_rent_frequencies | eq_ref | PRIMARY,listings_lettings_rent_frequencies_id_months        | PRIMARY        | 4  | cp_staging.listings_lettings.listings_lettings_rent_frequency_id | 1 | Using where                | 
    | 1 | PRIMARY   | llrf        | const | PRIMARY,listings_lettings_rent_frequencies_id_months        | PRIMARY        | 4  | const               | 1 | Using where                | 
    | 5 | DEPENDENT SUBQUERY | listings_media      | ref | listings_media_listing_id_foreign,listings_media_listings_media_type_id_foreign | listings_media_listing_id_foreign | 4  | func                | 1 | Using where                | 
    | 4 | DEPENDENT SUBQUERY | listings_media      | ref | listings_media_listing_id_foreign,listings_media_listings_media_type_id_foreign | listings_media_listing_id_foreign | 4  | func                | 1 | Using where                | 
    | 3 | DEPENDENT SUBQUERY | listings_media      | ref | listings_media_listing_id_foreign,listings_media_listings_media_type_id_foreign | listings_media_listing_id_foreign | 4  | func                | 1 | Using where                | 
    | 2 | DEPENDENT SUBQUERY | listings_categories    | eq_ref | PRIMARY,listings_categories_category_id_foreign         | PRIMARY        | 8  | func,const              | 1 | Using index                |

第5列值listings表（拉出所以上表中该格式可以保留）PRIMARY,listings_former_id_unique,listings_price_sales_index,listings_price_sales_min_index,listings_price_lettings_index,listings_price_lettings_min_index,listings_country_id_foreign,listings_agent_id_foreign,listings_listings_status_id_foreign,listings_listings_price_qualifier_id_foreign,listings_listings_unit_id_foreign,listings_listings_tenure_type_id_foreign,agents_staff_id,listings_listings_class_id_foreign_idx,listings_listings_location_type_id_foreign_idx,listings_listings_branch_id_foreign_idx,latlng,listings_city,listings_created_at,listings_country_created_at,listings_transaction_type,listings_listing_id_transaction_type,listings_listings_coords_id,listings_created_at_listing_id,compound

来源

2015-06-26 peterstarling

这里是龙。：d –

第1步 - 选择替换与*选择你需要的领域。不得不去掉一半的选择字段，但我使用聚合函数（即GROUP_CONCAT） - - 因此LEFT JOIN的） –

哦，以防万一更换组请提供“SHOW CREATE TABLE清单”。这将是最好的，如果你能提供'SHOW CREATE TABLE'所涉及的所有表，其实。另外，请编辑完整的，不变的查询回。这个问题很复杂，没有信息被隐藏，是的，你选择什么重要的是要知道，在性能方面。 – peterstarling

删除所有的表，除了listings，listings_lettings_rent_frequencies ，llrf，listings_units。
让我们优化该查询。保持GROUP BY，ORDER BY和LIMIT，只有一部分在哪里。
看看是否给你所需的10 listing_ids。

如果我们可以得到查询相当快的工作，然后做

SELECT ... 
    FROM (the above query as a subquery) x 
    JOIN ... -- the rest of the JOINs, using x.listings_id where needed 
GROUP BY x.listing_id -- just in case 
ORDER BY x.created_at; -- repeated

来源

2015-06-26 20:51:47

我添加了所有选定的字段。我即将要做的只是在ID的搜索，只有必要的表和何在，很快就会发布。 – peterstarling

我已经离开了所有的可选位（也被删除GROUP BY，因为它是那么没有必要），它漂亮许多归结为：

SET @poly = (SELECT `polygon` FROM locations WHERE location_id = 65); 

SELECT 

`listings`.`listing_id` 

FROM `listings` 
JOIN `listings_coords` ON `listings_coords`.`listing_id` = `listings`.`listing_id` 
JOIN `listings_units` ON `listings`.`listings_unit_id` = `listings_units`.`listings_unit_id` 
JOIN `listings_units` AS `user_units` ON `user_units`.`listings_unit_id` = 2 

LEFT JOIN `listings_lettings` 
ON (`listings`.`transaction_type` = 2 OR `listings`.`transaction_type` = 3) AND `listings_lettings`.`listing_id` = `listings`.`listing_id` 
LEFT JOIN `listings_lettings_rent_frequencies` 
ON (`listings`.`transaction_type` = 2 OR `listings`.`transaction_type` = 3) AND `listings_lettings_rent_frequencies`.`listings_lettings_rent_frequency_id` = `listings_lettings`.`listings_lettings_rent_frequency_id` 

LEFT JOIN `listings_lettings_rent_frequencies` AS `llrf` ON `llrf`.`listings_lettings_rent_frequency_id` = 2 
WHERE 
`listings`.`lat` BETWEEN 51.333436956522 AND 51.681263043478 AND 
`listings`.`lng` BETWEEN -0.40717687879372 AND 0.15165687879372 AND 
st_within(`listings_coords`.`coords`, @poly) AND 

(
    `listings`.`transaction_type` = 1 OR 
    `listings`.`price_lettings` * `listings_lettings_rent_frequencies`.`months` >= `llrf`.`months` * 500 

) 
AND 
(
    `listings_units`.`meters` IS NULL OR 
    `listings`.`max_size` * `listings_units`.`meters` >= 100 * `user_units`.`meters` 
) 
AND 
`listings`.`country_id` = 223 

ORDER BY `listings`.`created_at` 
LIMIT 10;

看来，它现在没有ORDER BY子句，减慢它。当前解释：

+----+-------------+------------------------------------+--------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------+---------+----------------------------------------------------------+------+----------------------------------------------------+ 
| id | select_type | table        | type | possible_keys                                                       | key         | key_len | ref              | rows | Extra            | 
+----+-------------+------------------------------------+--------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------+---------+----------------------------------------------------------+------+----------------------------------------------------+ 
| 1 | SIMPLE  | user_units       | const | PRIMARY                                                        | PRIMARY        | 4  | const             | 1 | Using temporary; Using filesort     | 
| 1 | SIMPLE  | listings       | range | PRIMARY,listings_country_id_foreign,listings_listings_unit_id_foreign,latlng,listings_country_created_at,listings_country_units_created_at,listings_transaction_type,listings_listing_id_transaction_type,listings_lat_lng_created_at | latlng        | 10  | NULL              | 3728 | Using index condition; Using where     | 
| 1 | SIMPLE  | listings_coords     | eq_ref | PRIMARY,coords                                                      | PRIMARY        | 4  | cp.listings.listing_id         | 1 | Using where          | 
| 1 | SIMPLE  | listings_lettings     | ref | listings_lettings_listing_id_foreign                                                 | listings_lettings_listing_id_foreign | 4  | cp.listings.listing_id         | 1 | Using where          | 
| 1 | SIMPLE  | listings_lettings_rent_frequencies | eq_ref | PRIMARY                                                        | PRIMARY        | 4  | cp.listings_lettings.listings_lettings_rent_frequency_id | 1 | Using where          | 
| 1 | SIMPLE  | listings_units      | ALL | PRIMARY                                                        | NULL         | NULL | NULL              | 6 | Using where; Using join buffer (Block Nested Loop) | 
| 1 | SIMPLE  | llrf        | const | PRIMARY                                                        | PRIMARY        | 4  | const             | 1 | Using where          | 
+----+-------------+------------------------------------+--------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------+---------+----------------------------------------------------------+------+----------------------------------------------------+

删除价格和大小条件导致更好的性能和搜索没有文件。这可能与不好的索引有关，尽管正如指出的那样 - 我确实有很多这样的索引。上述查询的当前性能是aprox 5s。同样删除st_within函数似乎可以解决问题（0.047s）。正如你所说 - 我可以轻松地在子查询中执行初始搜索，获得所需的10个ID并继续使用外部查询中的JOIN。

这是创建列表表声明：

CREATE TABLE `listings` (
    `listing_id` int(10) unsigned NOT NULL AUTO_INCREMENT, 
    `auth_agent_id` int(10) unsigned NOT NULL, 
    `country_id` int(10) unsigned NOT NULL, 
    `branch_id` int(10) unsigned DEFAULT NULL, 
    `property_type` tinyint(4) NOT NULL, 
    `listings_status_id` int(10) unsigned NOT NULL, 
    `listings_price_qualifier_id` int(10) unsigned NOT NULL, 
    `listings_tenure_type_id` int(10) unsigned DEFAULT NULL, 
    `listings_class_id` int(10) unsigned DEFAULT NULL, 
    `listings_location_type_id` int(10) unsigned DEFAULT NULL, 
    `transaction_type` enum('1','2','3') COLLATE utf8_bin NOT NULL, 
    `auth_agents_staff_id` int(10) unsigned DEFAULT NULL, 
    `published_flag` tinyint(1) NOT NULL, 
    `address_1` char(255) COLLATE utf8_bin DEFAULT NULL, 
    `address_2` char(255) COLLATE utf8_bin DEFAULT NULL, 
    `area` char(150) COLLATE utf8_bin DEFAULT NULL, 
    `city` char(255) COLLATE utf8_bin DEFAULT NULL, 
    `region` char(255) COLLATE utf8_bin DEFAULT NULL, 
    `postcode` char(255) COLLATE utf8_bin DEFAULT NULL, 
    `hide_address` tinyint(1) NOT NULL DEFAULT '0', 
    `street_view` tinyint(1) NOT NULL DEFAULT '1', 
    `lat` decimal(10,6) NOT NULL, 
    `lng` decimal(10,6) NOT NULL, 
    `price_sales` decimal(14,2) DEFAULT NULL, 
    `price_sales_min` decimal(10,2) DEFAULT NULL, 
    `price_lettings` decimal(10,2) DEFAULT NULL, 
    `price_lettings_min` decimal(10,2) DEFAULT NULL, 
    `price_per_unit_sales` decimal(9,2) DEFAULT NULL, 
    `price_per_unit_lettings` decimal(9,2) DEFAULT NULL, 
    `min_size` decimal(10,2) DEFAULT NULL, 
    `max_size` decimal(10,2) DEFAULT NULL, 
    `listings_unit_id` int(10) unsigned NOT NULL, 
    `summary` text COLLATE utf8_bin, 
    `description` text COLLATE utf8_bin, 
    `short_title` varchar(150) COLLATE utf8_bin DEFAULT NULL, 
    `title` varchar(200) COLLATE utf8_bin DEFAULT NULL, 
    `slug` varchar(200) COLLATE utf8_bin DEFAULT NULL, 
    `agent_ref` char(255) COLLATE utf8_bin DEFAULT NULL, 
    `active` tinyint(1) NOT NULL, 
    `created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP, 
    `updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00' ON UPDATE CURRENT_TIMESTAMP, 
    `former_id` int(11) DEFAULT NULL, 
    PRIMARY KEY (`listing_id`), 
    UNIQUE KEY `listings_transaction_listing_id` (`transaction_type`,`listing_id`), 
    UNIQUE KEY `listings_former_id_unique` (`former_id`), 
    KEY `listings_price_sales_index` (`price_sales`), 
    KEY `listings_price_sales_min_index` (`price_sales_min`), 
    KEY `listings_price_lettings_index` (`price_lettings`), 
    KEY `listings_price_lettings_min_index` (`price_lettings_min`), 
    KEY `listings_country_id_foreign` (`country_id`), 
    KEY `listings_agent_id_foreign` (`auth_agent_id`), 
    KEY `listings_listings_status_id_foreign` (`listings_status_id`), 
    KEY `listings_listings_price_qualifier_id_foreign` (`listings_price_qualifier_id`), 
    KEY `listings_listings_unit_id_foreign` (`listings_unit_id`), 
    KEY `listings_listings_tenure_type_id_foreign` (`listings_tenure_type_id`), 
    KEY `agents_staff_id` (`auth_agents_staff_id`), 
    KEY `listings_listings_class_id_foreign_idx` (`listings_class_id`), 
    KEY `listings_listings_location_type_id_foreign_idx` (`listings_location_type_id`), 
    KEY `listings_listings_branch_id_foreign_idx` (`branch_id`), 
    KEY `lat_lng_country_id_active_published` (`lat`,`lng`,`country_id`,`active`,`published_flag`), 
    CONSTRAINT `listings_agent_id_foreign` FOREIGN KEY (`auth_agent_id`) REFERENCES `auth_agents` (`auth_agent_id`), 
    CONSTRAINT `listings_country_id_foreign` FOREIGN KEY (`country_id`) REFERENCES `countries` (`country_id`), 
    CONSTRAINT `listings_ibfk_1` FOREIGN KEY (`auth_agents_staff_id`) REFERENCES `agents_staff` (`agents_staff_id`) ON DELETE SET NULL ON UPDATE SET NULL, 
    CONSTRAINT `listings_listings_branch_id_foreign` FOREIGN KEY (`branch_id`) REFERENCES `branches` (`branch_id`), 
    CONSTRAINT `listings_listings_class_id_foreign` FOREIGN KEY (`listings_class_id`) REFERENCES `listings_classes` (`listings_class_id`) ON DELETE NO ACTION ON UPDATE NO ACTION, 
    CONSTRAINT `listings_listings_location_type_id_foreign` FOREIGN KEY (`listings_location_type_id`) REFERENCES `listings_location_types` (`listings_location_type_id`) ON DELETE NO ACTION ON UPDATE NO ACTION, 
    CONSTRAINT `listings_listings_price_qualifier_id_foreign` FOREIGN KEY (`listings_price_qualifier_id`) REFERENCES `listings_price_qualifiers` (`listings_price_qualifier_id`), 
    CONSTRAINT `listings_listings_status_id_foreign` FOREIGN KEY (`listings_status_id`) REFERENCES `listings_statuses` (`listings_status_id`), 
    CONSTRAINT `listings_listings_tenure_type_id_foreign` FOREIGN KEY (`listings_tenure_type_id`) REFERENCES `listings_tenure_types` (`listings_tenure_type_id`), 
    CONSTRAINT `listings_listings_unit_id_foreign` FOREIGN KEY (`listings_unit_id`) REFERENCES `listings_units` (`listings_unit_id`) 
) ENGINE=InnoDB AUTO_INCREMENT=34832 DEFAULT CHARSET=utf8 COLLATE=utf8_bin;

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2015-06-29 08:50:15 peterstarling

MySQL的排序+集团通过大幅减慢查询

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