potrzebujesz pomocy w optymalizacji wordpress meta

Natknąłem się na ten problem i zdałem sobie sprawę, że problem dotyczy wszystkich INNER JOINS generowanych przez WordPress. Otrzymałem surowe zapytanie z WordPressa:

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

To nigdy się nie zakończyło i wiązało procesor przy bardzo dużym obciążeniu. Usunąłem ostatnie dwa INNER JOIN (i odpowiadające im klauzule WHERE) i otrzymałem wyniki w ciągu 2 sekund:

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

Zdałem sobie więc sprawę, że usunięcie INNER JOINS było kluczem do przyspieszenia zapytania. Przepisałem zapytanie z tylko jednym wp_postmeta INNER JOIN i otrzymałem wyniki w ułamkach sekundy:

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

Dzięki temu rozwiązaniu stworzyłem filtr WordPress, aby przekonwertować zapytanie postmeta do szybszego formatu:

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' );

Ten filtr powinien znajdować się w pliku functions.php Twojego motywu WordPress.

potrzebujesz pomocy w optymalizacji wordpress meta_query