Question

我会帮助优化这个wordpress查询，它目前需要100％的CPU使用率并且从未有机会完成：

SELECT wp_posts.* FROM wp_posts INNER JOIN wp_postmeta ON (wp_posts.ID = wp_postmeta.post_id)
INNER JOIN wp_postmeta AS mt1 ON (wp_posts.ID = mt1.post_id)
INNER JOIN wp_postmeta AS mt2 ON (wp_posts.ID = mt2.post_id)
INNER JOIN wp_postmeta AS mt3 ON (wp_posts.ID = mt3.post_id)
INNER JOIN wp_postmeta AS mt4 ON (wp_posts.ID = mt4.post_id)
INNER JOIN wp_postmeta AS mt5 ON (wp_posts.ID = mt5.post_id)
INNER JOIN wp_postmeta AS mt6 ON (wp_posts.ID = mt6.post_id)
INNER JOIN wp_postmeta AS mt7 ON (wp_posts.ID = mt7.post_id)
INNER JOIN wp_postmeta AS mt8 ON (wp_posts.ID = mt8.post_id)
INNER JOIN wp_postmeta AS mt9 ON (wp_posts.ID = mt9.post_id)
INNER JOIN wp_postmeta AS mt10 ON (wp_posts.ID = mt10.post_id) WHERE 1=1 AND wp_posts.post_type = 'produkter' AND (wp_posts.post_status = 'publish' OR wp_posts.post_status = 'private') AND (wp_postmeta.meta_key = 'csv_product_month_sub'
OR (mt1.meta_key = 'csv_product_type' AND CAST(mt1.meta_value AS CHAR) = 'Mobilt Bredbaand')
OR (mt2.meta_key = 'csv_product_consumption' AND CAST(mt2.meta_value AS SIGNED) BETWEEN '0' AND '2')
OR (mt3.meta_key = 'csv_product_consumption' AND CAST(mt3.meta_value AS SIGNED) BETWEEN '3' AND '9')
OR (mt4.meta_key = 'csv_product_consumption' AND CAST(mt4.meta_value AS SIGNED) BETWEEN '10' AND '19')
OR (mt5.meta_key = 'csv_product_download' AND CAST(mt5.meta_value AS SIGNED) BETWEEN '2' AND '9')
OR (mt6.meta_key = 'csv_product_download' AND CAST(mt6.meta_value AS SIGNED) BETWEEN '10' AND '19')
OR (mt7.meta_key = 'csv_product_download' AND CAST(mt7.meta_value AS SIGNED) BETWEEN '20' AND '29')
OR (mt8.meta_key = 'csv_product_month_sub' AND CAST(mt8.meta_value AS SIGNED) BETWEEN '0' AND '49')
OR (mt9.meta_key = 'csv_product_month_sub' AND CAST(mt9.meta_value AS SIGNED) BETWEEN '50' AND '99')
OR (mt10.meta_key = 'csv_product_month_sub' AND CAST(mt10.meta_value AS SIGNED) BETWEEN '100' AND '149') ) GROUP BY wp_posts.ID ORDER BY wp_postmeta.meta_value+0 ASC

Answer 1

到目前为止，我有：

SELECT wp_posts.* FROM wp_posts INNER JOIN wp_postmeta ON (wp_posts.ID = wp_postmeta.post_id)
WHERE ID IN (
            SELECT post_id from wp_postmeta 
            WHERE 
            (
                (meta_key = 'csv_product_consumption' AND CAST(meta_value AS SIGNED) BETWEEN 0 AND 2) 
                OR (meta_key = 'csv_product_consumption' AND CAST(meta_value AS SIGNED) BETWEEN 3 AND 9) 
                OR (meta_key = 'csv_product_consumption' AND CAST(meta_value AS SIGNED) BETWEEN 10 AND 19) 
                OR (meta_key = 'csv_product_download' AND CAST(meta_value AS SIGNED) BETWEEN 2 AND 9) 
                OR (meta_key = 'csv_product_download' AND CAST(meta_value AS SIGNED) BETWEEN 10 AND 19) 
                OR (meta_key = 'csv_product_download' AND CAST(meta_value AS SIGNED) BETWEEN 20 AND 29) 
                OR (meta_key = 'csv_product_month_sub' AND CAST(meta_value AS SIGNED) BETWEEN 0 AND 49) 
                OR (meta_key = 'csv_product_month_sub' AND CAST(meta_value AS SIGNED) BETWEEN 50 AND 99) 
                OR (meta_key = 'csv_product_month_sub' AND CAST(meta_value AS SIGNED) BETWEEN 100 AND 149) 
            )
            GROUP BY post_id
        )
AND wp_posts.post_type = 'produkter' 
AND (wp_posts.post_status = 'publish' OR wp_posts.post_status = 'private') 
AND ( (wp_postmeta.meta_key = 'csv_product_type') AND (wp_postmeta.meta_value = 'Mobilt Bredbaand'))
ORDER BY wp_postmeta.meta_value+0 ASC

它不再使用太多的CPU，查询需要0.0331秒。

任何其他想法将不胜感激。

Answer 2

我遇到了这个问题，并意识到问题出在WordPress生成的所有INNER JOINS中。我从WordPress获得了原始查询：

SELECT   wp_posts.* FROM wp_posts  
INNER JOIN wp_term_relationships ON (wp_posts.ID = wp_term_relationships.object_id) 
INNER JOIN wp_postmeta ON (wp_posts.ID = wp_postmeta.post_id)
INNER JOIN wp_postmeta AS mt1 ON (wp_posts.ID = mt1.post_id)
INNER JOIN wp_postmeta AS mt2 ON (wp_posts.ID = mt2.post_id)
INNER JOIN wp_postmeta AS mt3 ON (wp_posts.ID = mt3.post_id)
INNER JOIN wp_postmeta AS mt4 ON (wp_posts.ID = mt4.post_id)
INNER JOIN wp_postmeta AS mt5 ON (wp_posts.ID = mt5.post_id) WHERE 1=1  AND ( wp_term_relationships.term_taxonomy_id IN (7,11,12,13,14,15) AND wp_posts.ID NOT IN (
                    SELECT object_id
                    FROM wp_term_relationships
                    WHERE term_taxonomy_id IN (10)
                ) ) AND wp_posts.post_type IN ('post', 'page', 'attachment', 'product', 'store_page') AND (wp_posts.post_status = 'publish') AND ( (wp_postmeta.meta_key = 'product_type' AND CAST(wp_postmeta.meta_value AS CHAR) = 'type_pre_ground')
OR  (mt1.meta_key = 'product_type2' AND CAST(mt1.meta_value AS CHAR) = 'type_pre_ground')
OR  (mt2.meta_key = 'product_type3' AND CAST(mt2.meta_value AS CHAR) = 'type_pre_ground')
OR  (mt3.meta_key = 'product_type4' AND CAST(mt3.meta_value AS CHAR) = 'type_pre_ground')
OR  (mt4.meta_key = 'product_type5' AND CAST(mt4.meta_value AS CHAR) = 'type_pre_ground')
OR  (mt5.meta_key = 'product_type6' AND CAST(mt5.meta_value AS CHAR) = 'type_pre_ground') ) GROUP BY wp_posts.ID ORDER BY wp_posts.post_date DESC

这从未完成并在非常高的负载下捆绑CPU。我删除了最后两个INNER JOIN（以及相应的WHERE子句）并在2秒内得到结果：

SELECT   wp_posts.* FROM wp_posts  
INNER JOIN wp_term_relationships ON (wp_posts.ID = wp_term_relationships.object_id) 
INNER JOIN wp_postmeta ON (wp_posts.ID = wp_postmeta.post_id)
INNER JOIN wp_postmeta AS mt1 ON (wp_posts.ID = mt1.post_id)
INNER JOIN wp_postmeta AS mt2 ON (wp_posts.ID = mt2.post_id)
INNER JOIN wp_postmeta AS mt3 ON (wp_posts.ID = mt3.post_id) WHERE 1=1  AND ( wp_term_relationships.term_taxonomy_id IN (7,11,12,13,14,15) AND wp_posts.ID NOT IN (
                    SELECT object_id
                    FROM wp_term_relationships
                    WHERE term_taxonomy_id IN (10)
                ) ) AND wp_posts.post_type IN ('post', 'page', 'attachment', 'product', 'store_page') AND (wp_posts.post_status = 'publish') AND ( (wp_postmeta.meta_key = 'product_type' AND CAST(wp_postmeta.meta_value AS CHAR) = 'type_pre_ground')
OR  (mt1.meta_key = 'product_type2' AND CAST(mt1.meta_value AS CHAR) = 'type_pre_ground')
OR  (mt2.meta_key = 'product_type3' AND CAST(mt2.meta_value AS CHAR) = 'type_pre_ground')
OR  (mt3.meta_key = 'product_type4' AND CAST(mt3.meta_value AS CHAR) = 'type_pre_ground') ) GROUP BY wp_posts.ID ORDER BY wp_posts.post_date DESC

所以我意识到删除INNER JOINS是加速查询的关键。我只用一个wp_postmeta INNER JOIN重新编写查询，并在几分之一秒内得到结果：

SELECT   wp_posts.* FROM wp_posts  
INNER JOIN wp_term_relationships ON (wp_posts.ID = wp_term_relationships.object_id) 
INNER JOIN wp_postmeta ON (wp_posts.ID = wp_postmeta.post_id) WHERE 1=1  AND ( wp_term_relationships.term_taxonomy_id IN (7,11,12,13,14,15) AND wp_posts.ID NOT IN (
                    SELECT object_id
                    FROM wp_term_relationships
                    WHERE term_taxonomy_id IN (10)
                ) ) 
AND wp_posts.post_type IN ('post', 'page', 'attachment', 'product', 'store_page') 
AND (wp_posts.post_status = 'publish') 
AND ( (wp_postmeta.meta_key = 'product_type' AND CAST(wp_postmeta.meta_value AS CHAR) = 'type_pre_ground')
OR  (wp_postmeta.meta_key = 'product_type2' AND CAST(wp_postmeta.meta_value AS CHAR) = 'type_pre_ground')
OR  (wp_postmeta.meta_key = 'product_type3' AND CAST(wp_postmeta.meta_value AS CHAR) = 'type_pre_ground')
OR  (wp_postmeta.meta_key = 'product_type4' AND CAST(wp_postmeta.meta_value AS CHAR) = 'type_pre_ground')
OR  (wp_postmeta.meta_key = 'product_type5' AND CAST(wp_postmeta.meta_value AS CHAR) = 'type_pre_ground')
OR  (wp_postmeta.meta_key = 'product_type6' AND CAST(wp_postmeta.meta_value AS CHAR) = 'type_pre_ground') ) 
GROUP BY wp_posts.ID ORDER BY wp_posts.post_date DESC

通过这个解决方案，我创建了一个WordPress过滤器，将postmeta查询转换为更快的格式：

function custom_get_meta_sql( $meta_sql )
{
    global $wpdb;

    $posts_table = $wpdb->prefix . 'posts';
    $postmeta_table = $wpdb->prefix . 'postmeta';

    //use single INNER JOIN
    $meta_sql['join'] = " INNER JOIN {$postmeta_table} AS pmta ON ({$posts_table}.ID = pmta.post_id) ";

    //replace the mtNN aliases with wp_postmeta
    $where_clause = $meta_sql['where'];
    $where_clause = str_replace("{$postmeta_table}.", 'pmta.', $where_clause);
    $where_clause = preg_replace('/mt\d+\.meta_/i', 'pmta.meta_', $where_clause);

    $meta_sql['where'] = $where_clause;
    return $meta_sql;
}

add_filter( 'get_meta_sql', 'custom_get_meta_sql' );

此过滤器应位于WordPress主题的functions.php文件中。

Answer 3

这是一篇旧帖子，但您可以考虑尝试使用Horizontal Meta。水平元监视帖子中的特定键。用户元表并将它们提取为关系/水平格式。您仍然可以使用WordPress查询引擎来运行查询，但Horizontal Meta将重写查询以加快查询速度。可在此处获取：http://wordpress.org/plugins/horizontal-meta/

需要帮助优化wordpress meta_query

3 个答案: