D:\htdocs\slims8\slims\lib\SearchEngine\DefaultEngine.php:615 "Search Engine Debug 🔎 🪲"
Engine Type ⚙️: "SLiMS\SearchEngine\DefaultEngine"
SQL ⚙️: array:2 [ "count" => "select count(distinct b.biblio_id) from biblio as b left join mst_publisher as mp on b.publisher_id=mp.publisher_id left join mst_place as mpl on b.publish_place_id=mpl.place_id where b.opac_hide=0 and (b.biblio_id in(select ba.biblio_id from biblio_author as ba left join mst_author as ma on ba.author_id=ma.author_id where ma.author_name like ?))" "query" => "select b.biblio_id, b.title, b.image, b.isbn_issn, b.publish_year, mp.publisher_name as `publisher`, mpl.place_name as `publish_place`, b.labels, b.input_date, b.edition, b.collation, b.series_title, b.classification from biblio as b left join mst_publisher as mp on b.publisher_id=mp.publisher_id left join mst_place as mpl on b.publish_place_id=mpl.place_id where b.opac_hide=0 and (b.biblio_id in(select ba.biblio_id from biblio_author as ba left join mst_author as ma on ba.author_id=ma.author_id where ma.author_name like ?)) order by b.last_update desc limit 10 offset 0" ]
Bind Value ⚒️: array:1 [ 0 => "%Anders, George%" ]
Anyone who recruits talent faces the same basic challenge, whether we work for a big company, a new start-up, a Hollywood studio, a hospital, or the Green Berets. We all wonder how to tell the really outstanding prospects from the ones who look great on paper but then fail on the job. Or, equally important, how to spot the ones who donÂ’t look so good on paper but might still deliver extraor…