在应用OrderBy时，我的一个查询运行速度非常慢，我遇到了问题。
我已经浏览过并使用SELECT * FROM（sql stuff）OrderBy字段包围我的查询。这将时间从22秒减少到10秒，但我真的需要更快。 SQL_NO_CACHE仅用于测试。
这将在10秒内返回5866条记录。删除orderby会在2秒后返回。
SELECT
SQL_NO_CACHE *
FROM
(SELECT
SUM(
MATCH(product_name)
AGAINST ('"Jeans"' IN BOOLEAN MODE) +
MATCH(store_name)
AGAINST ('"Jeans"' IN BOOLEAN MODE)
) AS searchScore,
product_name,
section_url,
product_link_url,
affiliate_store_product_id,
store_url,
product_date_added,
product_image,
product_image_path,
product_sale_price,
product_price,
product_price_currency,
product_url,
product_id,
product_channel_id,
store_name,
product_brand,
colour_id,
colour_name
FROM
products
INNER JOIN stores
ON store_id = product_store_id
LEFT OUTER JOIN product_colours
ON product_colour_product_id = product_id
LEFT OUTER JOIN colours
ON colour_id = product_colour_colour_id
LEFT OUTER JOIN sections
ON product_channel_id = section_id
INNER JOIN storeShipping
ON storeShipping_store_id = store_id
INNER JOIN shipping_locations
ON shipping_location_id = storeShipping_shipping_location_id
JOIN product_categories
ON product_category_product_id = product_id
JOIN categories
ON category_id = product_category_category_id
WHERE (
MATCH(product_name) AGAINST ('"Jeans"' IN BOOLEAN MODE)
OR MATCH(store_name) AGAINST ('"Jeans"' IN BOOLEAN MODE)
)
AND product_status = 1
AND category_status = 1
AND product_excluded = 0
AND product_feed_status = 1
AND store_status = 1
AND shipping_location_currency_code = 'AUD'
AND product_image_path IS NOT NULL
AND (
product_channel_id = 1
OR product_channel_id = 2
OR product_channel_id = 3
OR product_channel_id = 4
)
GROUP BY product_url) AS T
ORDER BY searchScore DESC ;
以下是orderby
的解释+----+-------------+--------------------+--------+---------------------------------------------------------------------------------------------------------------------------+------------------------+---------+--------------------------------------------------+--------+----------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+--------------------+--------+---------------------------------------------------------------------------------------------------------------------------+------------------------+---------+--------------------------------------------------+--------+----------------------------------------------+ | 1 | PRIMARY | <derived2> | ALL | \N | \N | \N | \N | 5866 | Using filesort | | 2 | DERIVED | products | ref | PRIMARY,idx_product,idx_channel,idx_path,idx_store,idx_excluded,idx_status,idx_product_feed_status,idx_product_image_path | idx_status | 2 | | 306688 | Using where; Using temporary; Using filesort | | 2 | DERIVED | stores | eq_ref | PRIMARY,idx_storestatus | PRIMARY | 4 | products.product_store_id | 1 | Using where | | 2 | DERIVED | product_categories | ref | PRIMARY,idx_category,idx_categoryproduct | idx_categoryproduct | 4 | products.product_id | 1 | | | 2 | DERIVED | categories | eq_ref | PRIMARY,NewIndex1 | PRIMARY | 4 | product_categories.product_category_category_id | 1 | Using where | | 2 | DERIVED | product_colours | ref | idx_colourproduct | idx_colourproduct | 5 | products.product_id | 2 | | | 2 | DERIVED | colours | eq_ref | PRIMARY | PRIMARY | 4 | product_colours.product_colour_colour_id | 1 | | | 2 | DERIVED | storeShipping | ref | idx_storeshippingstore,idx_storeshippinglocation | idx_storeshippingstore | 5 | stores.store_id | 4 | Using where | | 2 | DERIVED | shipping_locations | eq_ref | PRIMARY,idx_shippinglocation | PRIMARY | 4 | storeShipping.storeShipping_shipping_location_id | 1 | Using where | | 2 | DERIVED | sections | eq_ref | PRIMARY | PRIMARY | 4 | products.product_channel_id | 1 | | +----+-------------+--------------------+--------+---------------------------------------------------------------------------------------------------------------------------+------------------------+---------+--------------------------------------------------+--------+----------------------------------------------+
没有orderby
+--------+-------------+--------------------+--------+---------------------------------------------------------------------------------------------------------------------------+------------------------+---------+--------------------------------------------------+--------+----------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +--------+-------------+--------------------+--------+---------------------------------------------------------------------------------------------------------------------------+------------------------+---------+--------------------------------------------------+--------+----------------------------------------------+ | 1 | SIMPLE | products | ref | PRIMARY,idx_product,idx_channel,idx_path,idx_store,idx_excluded,idx_status,idx_product_feed_status,idx_product_image_path | idx_status | 2 | const | 306688 | Using where; Using temporary; Using filesort | | 1 | SIMPLE | stores | eq_ref | PRIMARY,idx_storestatus | PRIMARY | 4 | products.product_store_id | 1 | Using where | | 1 | SIMPLE | product_categories | ref | PRIMARY,idx_category,idx_categoryproduct | idx_categoryproduct | 4 | products.product_id | 1 | | | 1 | SIMPLE | categories | eq_ref | PRIMARY,NewIndex1 | PRIMARY | 4 | product_categories.product_category_category_id | 1 | Using where | | 1 | SIMPLE | product_colours | ref | idx_colourproduct | idx_colourproduct | 5 | products.product_id | 2 | | | 1 | SIMPLE | colours | eq_ref | PRIMARY | PRIMARY | 4 | product_colours.product_colour_colour_id | 1 | | | 1 | SIMPLE | storeShipping | ref | idx_storeshippingstore,idx_storeshippinglocation | idx_storeshippingstore | 5 | stores.store_id | 4 | Using where | | 1 | SIMPLE | shipping_locations | eq_ref | PRIMARY,idx_shippinglocation | PRIMARY | 4 | storeShipping.storeShipping_shipping_location_id | 1 | Using where | | 1 | SIMPLE | sections | eq_ref | PRIMARY | PRIMARY | 4 | products.product_channel_id | 1 | | +--------+-------------+--------------------+--------+---------------------------------------------------------------------------------------------------------------------------+------------------------+---------+--------------------------------------------------+--------+----------------------------------------------+
你们可以做些什么来给我一个提升力量很棒！
谢谢！
答案 0 :(得分：0)
我稍微修改了你的查询。你能试试吗？
另请INDEX列product_url这将大大提高执行力。
如果可能INDEX列product_name和store_name。
SELECT SUM(CASE WHEN product_name LIKE '%Jeans%' OR store_name LIKE '%Jeans%'
THEN 1
ELSE 0 END) AS searchScore,
product_name,
section_url,
product_link_url,
affiliate_store_product_id,
store_url,
product_date_added,
product_image,
product_image_path,
product_sale_price,
product_price,
product_price_currency,
product_url,
product_id,
product_channel_id,
store_name,
product_brand,
colour_id,
colour_name
FROM products
INNER JOIN stores ON store_id = product_store_id
LEFT OUTER JOIN product_colours ON product_colour_product_id = product_id
LEFT OUTER JOIN colours ON colour_id = product_colour_colour_id
LEFT OUTER JOIN sections ON product_channel_id = section_id
INNER JOIN storeShipping ON storeShipping_store_id = store_id
INNER JOIN shipping_locations ON shipping_location_id = storeShipping_shipping_location_id
JOIN product_categories ON product_category_product_id = product_id
JOIN categories ON category_id = product_category_category_id
WHERE (product_name LIKE '%Jeans%' OR store_name LIKE '%Jeans%')
AND product_status = 1
AND category_status = 1
AND product_excluded = 0
AND product_feed_status = 1
AND store_status = 1
AND shipping_location_currency_code = 'AUD'
AND product_image_path IS NOT NULL
AND product_channel_id IN (1, 2, 3, 4)
GROUP BY product_url
ORDER BY searchScore
答案 1 :(得分：0)
您按searchScore排序，这不是表字段，而是一些动态汇总的值。因此，MySQL不能使用索引进行排序，而是使用FileSort。这当然很慢。
现在，关于优化提示：
如果您的product_url，product_name，store_name不超过255个字符，则使用VARCHAR（255）甚至CHAR（255）。并确保product_url是索引字段（不是全文索引，而是普通索引）。实际上，所有3个字段都必须编入索引。
您确定需要使用MATCH AGAINST构造吗？如果你在那里使用REGEXP它会更快，但我不知道确切的要求。
它再次与p.1相关 - 你有字段为（VAR）CHAR（255） - 然后添加WHERE + GROUP BY中所有字段的复合索引，我的意思是： product_name，store_name，product_status，category_status，product_excluded，product_feed_status，store_status，shipping_location_currency_mode，product_image_path，product_channel_id，product_url。另外，您可能会将product_url作为单独的索引。
希望它会有所帮助。在我提出的修改之后，您应该在不到一秒的时间内执行此查询。