我正在更新表格中的一些行。查询需要很长时间才能执行。 如何提高以下查询的执行性能?
update org_products op
inner join access_history
on access_history.access_key = op.id and access_history.access_type = "OrgProduct.View"
set views =
(
select count(access_key)
from access_history
where access_history.access_key = op.id and
access_history.created_at >= DATE_SUB(CURDATE(), INTERVAL 90 DAY) and
access_history.access_type = "OrgProduct.View" and
access_history.product_id = op.product_id
GROUP BY access_history.product_id
)
where access_history.access_key = op.id and
access_history.access_type = "OrgProduct.View";
更新 SHOW CREATE TABLE access_history;
'access_history', 'CREATE TABLE `access_history` (
\n `id` bigint(20) NOT NULL AUTO_INCREMENT,
\n `product_id` bigint(20) unsigned NOT NULL,
\n `access_type` varchar(50) DEFAULT NULL,
\n `access_key` varchar(50) DEFAULT NULL,
\n `access_key_full` varchar(200) DEFAULT NULL,
\n `client_ip_addr` varbinary(16) DEFAULT NULL,
\n `userid` bigint(20) unsigned DEFAULT NULL,\n `username` tinytext,
\n `anon_user_id` bigint(20) unsigned DEFAULT NULL,
\n `created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
\n `updated_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,\n PRIMARY KEY (`id`),
\n KEY `fk_access_history_has_product_product1_idx` (`product_id`),
\n KEY `idx_access_history_prod_type_key` (`product_id`,`access_type`,`access_key`),
\n CONSTRAINT `fk_access_history_has_product_product1_idx` FOREIGN KEY (`product_id`) REFERENCES `products` (`id`) ON
DELETE NO ACTION ON UPDATE NO ACTION\n) ENGINE=InnoDB AUTO_INCREMENT=1290353 DEFAULT CHARSET=utf8'
SHOW INDEX from access_history;
的输出
需要对查询进行哪些更改才能提高性能?
感谢任何帮助!谢谢!
最佳答案
这里有两种变体:
1) 您通过 CRON 定期执行讨论的查询 - 因此您想要更新其访问历史记录在过去 90 天内更改的所有产品。尝试下面的查询(你最好提前计算开始日期然后使用这个常量值——使用 DATE_SUB() 会让 MySQL 认为这是一个动态值并且每次都会计算它,不会注意到它本质上是常数):
UPDATE org_products op
SET views = (SELECT COUNT(*) FROM access_history
WHERE access_key = op.id
AND access_type = "OrgProduct.View"
)
WHERE op.id IN (SELECT access_key FROM access_history
WHERE access_type = "OrgProduct.View"
AND created_at >= "YYYY-MM-DD"
)
2) 在每次插入表 access_history 后执行讨论的查询 - 尝试以下操作(ACCESS_KEY_VALUE 是您刚刚插入到表 access_history 中的内容):
UPDATE org_products op
SET views = (SELECT COUNT(*) FROM access_history
WHERE access_key = ACCESS_KEY_VALUE
AND access_type = "OrgProduct.View"
)
WHERE op.id = ACCESS_KEY_VALUE
在这两种情况下,我建议您将所有不同的字符串从 access_type 列移动到单独的表中,将该列转换为 INT 并使其成为新表的外键。原因是索引和比较数值比比较字符串更快。
关于mysql - 如何提高mysql查询的性能?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/37936035/