Problem with SQL for $WPDB Search query
(MY CODE IS BELOW……….)
I’m trying to do a custom search query that utilizes $wpdb & SQL.
The customized search should return the following:
1. retrieves wp_posts.guid and wp_posts.post_title
2. retrieves related wp_terms.name (if wp_term_taxonomy.parent = ‘906’)
SIDENOTE: 906 is a ‘ratings‘ category, and has the following subcategories assigned to it”
I would like the search results be returned in the following format:
“Business 1 – 4-stars”
“Business 2 – 3-stars”
“Business 3 – 5-stars”
So far, I’ve been able to get the search to do Step 1 above, however I’ve had issue with Step 2, getting the proper wp_terms.name (star-rating) to be returned.
I need it to return the terms.names belonging ONLY to the term_taxonomy.parent ‘906’,
Instead it is returning terms.names for posts associated in the LEFT JOIN for the wp_terms table (code below).
So my question is: What changes to my SQL need to be made to get the terms.name associated with ‘906‘ as their category->parent returned in the query?
In order for the search to work, I need the columns returned in one table in the array, so that the “4-star” (or whatever) can be directly associated with “Business 1” in a row.
Here’s the SQL i’ve been working on:
$array = $wpdb->get_results (" SELECT DISTINCT wp_posts.ID , wp_posts.post_title , wp_posts.guid , wp_posts.post_modified , wp_posts.post_type , wp_terms.name FROM wp_posts LEFT JOIN wp_term_relationships ON wp_posts.ID = wp_term_relationships.object_id LEFT JOIN wp_term_taxonomy ON wp_term_relationships.term_taxonomy_id = wp_term_taxonomy.term_taxonomy_id AND (wp_term_taxonomy.taxonomy = 'post_tag' OR wp_term_taxonomy.taxonomy = 'category') LEFT JOIN wp_terms ON wp_term_taxonomy.term_id = wp_terms.term_id WHERE wp_posts.post_title LIKE '%$findthis%' OR wp_terms.name LIKE '%$findthis%' AND wp_posts.post_password = '' AND wp_posts.post_status = 'publish' OR wp_posts.post_status = 'static' ORDER BY wp_posts.post_modified DESC ", ARRAY_A);
Any help would be greatly appreciated, as I’ve been working on this for over 40 hours.
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