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Query Metrics

SELECT p0_.date AS date_0, p0_.email AS email_1, p0_.phone AS phone_2, p0_.site AS site_3, p0_.updated AS updated_4, p0_.center AS center_5, p0_.close AS close_6, p0_.created AS created_7, p0_.description AS description_8, p0_.id AS id_9, p0_.name AS name_10, p0_.slug AS slug_11, p0_.title AS title_12, p0_.visible AS visible_13, p0_.address_id AS address_id_14, p0_.pdf_id AS pdf_id_15, p0_.picture_id AS picture_id_16 FROM partner p0_ LEFT JOIN address a1_ ON p0_.address_id = a1_.id LEFT JOIN partner_category p3_ ON p0_.id = p3_.partner_id LEFT JOIN category c2_ ON c2_.id = p3_.category_id LEFT JOIN view v4_ ON p0_.id = v4_.partner_id LEFT JOIN `like` l5_ ON p0_.id = l5_.partner_id INNER JOIN schedule s6_ ON p0_.id = s6_.partner_id WHERE p0_.visible = ? AND c2_.slug = ? AND s6_.day = ? AND s6_.open <= ? AND ? <= s6_.close GROUP BY p0_.id ORDER BY COUNT(l5_.id) DESC, COUNT(v4_.id) DESC

[
  1
  "hightech-web"
  "Saturday"
  "2026-04-18 09:41:34"
  "2026-04-18 09:41:34"
]

SELECT
  p0_.date AS date_0,
  p0_.email AS email_1,
  p0_.phone AS phone_2,
  p0_.site AS site_3,
  p0_.updated AS updated_4,
  p0_.center AS center_5,
  p0_.close AS close_6,
  p0_.created AS created_7,
  p0_.description AS description_8,
  p0_.id AS id_9,
  p0_.name AS name_10,
  p0_.slug AS slug_11,
  p0_.title AS title_12,
  p0_.visible AS visible_13,
  p0_.address_id AS address_id_14,
  p0_.pdf_id AS pdf_id_15,
  p0_.picture_id AS picture_id_16
FROM
  partner p0_
  LEFT JOIN address a1_ ON p0_.address_id = a1_.id
  LEFT JOIN partner_category p3_ ON p0_.id = p3_.partner_id
  LEFT JOIN category c2_ ON c2_.id = p3_.category_id
  LEFT JOIN view v4_ ON p0_.id = v4_.partner_id
  LEFT JOIN `like` l5_ ON p0_.id = l5_.partner_id
  INNER JOIN schedule s6_ ON p0_.id = s6_.partner_id
WHERE
  p0_.visible = ?
  AND c2_.slug = ?
  AND s6_.day = ?
  AND s6_.open <= ?
  AND ? <= s6_.close
GROUP BY
  p0_.id
ORDER BY
  COUNT(l5_.id) DESC,
  COUNT(v4_.id) DESC

SELECT p0_.date AS date_0, p0_.email AS email_1, p0_.phone AS phone_2, p0_.site AS site_3, p0_.updated AS updated_4, p0_.center AS center_5, p0_.close AS close_6, p0_.created AS created_7, p0_.description AS description_8, p0_.id AS id_9, p0_.name AS name_10, p0_.slug AS slug_11, p0_.title AS title_12, p0_.visible AS visible_13, p0_.address_id AS address_id_14, p0_.pdf_id AS pdf_id_15, p0_.picture_id AS picture_id_16 FROM partner p0_ LEFT JOIN address a1_ ON p0_.address_id = a1_.id LEFT JOIN partner_category p3_ ON p0_.id = p3_.partner_id LEFT JOIN category c2_ ON c2_.id = p3_.category_id LEFT JOIN view v4_ ON p0_.id = v4_.partner_id LEFT JOIN `like` l5_ ON p0_.id = l5_.partner_id INNER JOIN schedule s6_ ON p0_.id = s6_.partner_id WHERE p0_.visible = 1 AND c2_.slug = 'hightech-web' AND s6_.day = 'Saturday' AND s6_.open <= '2026-04-18 09:41:34' AND '2026-04-18 09:41:34' <= s6_.close GROUP BY p0_.id ORDER BY COUNT(l5_.id) DESC, COUNT(v4_.id) DESC;

SELECT c0_.updated AS updated_0, c0_.created AS created_1, c0_.entities AS entities_2, c0_.id AS id_3, c0_.major AS major_4, c0_.slug AS slug_5, c0_.title AS title_6 FROM category c0_ WHERE c0_.entities LIKE ? ORDER BY c0_.title ASC

[
  "%partner%"
]

SELECT
  c0_.updated AS updated_0,
  c0_.created AS created_1,
  c0_.entities AS entities_2,
  c0_.id AS id_3,
  c0_.major AS major_4,
  c0_.slug AS slug_5,
  c0_.title AS title_6
FROM
  category c0_
WHERE
  c0_.entities LIKE ?
ORDER BY
  c0_.title ASC

SELECT c0_.updated AS updated_0, c0_.created AS created_1, c0_.entities AS entities_2, c0_.id AS id_3, c0_.major AS major_4, c0_.slug AS slug_5, c0_.title AS title_6 FROM category c0_ WHERE c0_.entities LIKE '%partner%' ORDER BY c0_.title ASC;