Woocommerce MySQL 更新特定类别产品的价格

Question

我正在尝试按特定类别中某些产品的百分比提高价格。我想出了应该工作的 select 语句，但是我无法将它与 update 语句结合起来。这是我所拥有的：

SELECT * from `wp_term_relationships` where term_taxonomy_id=376 and object_id in(select ID from `wp_posts` where `post_type`='product' and     post_status='publish' and ID=wp_term_relationships.object_id) 

这给了我我需要的产品。我可以在这些产品上运行更新（如下所示）还是需要以某种方式组合它们？

update wp_postmeta set meta_value = meta_value * 1.40 where meta_key='_regular_price'

Answer 1

这是一个 MySQL 查询，它将满足您的目的。

更新 _regular_price

UPDATE 
    `wp_postmeta` 
SET 
    `meta_value` = ROUND(`meta_value` * 1.40, 2) 
WHERE 
    meta_key = '_regular_price' 
    AND `post_id` IN (
        SELECT 
            `object_id` AS product_id 
        FROM 
            `wp_term_relationships` 
        WHERE 
            term_taxonomy_id = 376
            AND `object_id` IN (
                SELECT 
                    `ID` 
                FROM 
                    `wp_posts` 
                WHERE 
                    `post_type` = 'product' 
                    AND `post_status` = 'publish' 
                    AND `ID` = `object_id`
            )
    );

更新 _price

UPDATE 
    `wp_postmeta` 
SET 
    `meta_value` = ROUND(`meta_value` * 1.40, 2) 
WHERE 
    meta_key = '_price' 
    AND `post_id` IN (
        SELECT 
            `object_id` AS product_id 
        FROM 
            `wp_term_relationships` 
        WHERE 
            term_taxonomy_id = 376
            AND `object_id` IN (
                SELECT 
                    `ID` 
                FROM 
                    `wp_posts` 
                WHERE 
                    `post_type` = 'product' 
                    AND `post_status` = 'publish' 
                    AND `ID` = `object_id`
            )
    );

你也需要删除存储在WooCommerce产品价格缓存wp_options下表，并在_transient_timeout_wc_var_prices_{{post_id}} _transient_wc_var_prices_{{post_id}}option_name

DELETE
FROM `wp_options`
WHERE (`option_name` LIKE '_transient_wc_var_prices_%'
    OR `option_name` LIKE '_transient_timeout_wc_var_prices_%')

上面的查询已经过测试并且对我有用。

在运行这个查询之前做一个数据库备份

希望这可以帮助！