Location location renault trafic

1. 0.0002

   SELECT cate_title_slug FROM category WHERE fami_id IN (3,5) AND cate_title_slug<>'' AND cate_title_slug IS NOT NULL

2. 0.0001

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='camping-car'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=173

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0006

   SELECT DISTINCT ssrubr_slug FROM ssrubr WHERE ssrubr_visu=1 AND fami_id IN (3,5) AND ssrubr_slug IS NOT NULL AND ssrubr_slug<>''

6. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%location%renault%trafic%' OR ssrubr_title like '%location%renault%trafic%' OR ssrubr_slug like '%location%renault%trafic%') AND cate_id='173' ORDER BY ssrubr_id LIMIT 0,1

7. 0.0001

   SHOW TABLES LIKE 'pays'

8. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

9. 0.0003

   SELECT pays_code, pays_nom, pays_actif, pays_NDD, pays_drapeau, pays_lang, pays_tel, pays_nb_annonces, pays_tel_masque, pays_tel_max, pays_tel_fmt_paires, pays_tel_mode FROM pays ORDER BY pays_nom ASC

10. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='renault trafic'

11. 0.3833

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='173'AND MATCH (wish_title,wish_desc) AGAINST ('+renault trafic*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10)

12. 0.0001

    SELECT * FROM texte WHERE cate_id=173

13. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='renault trafic' OR ssrubr_slug='renault-trafic' OR (ssrubr_title like '%renault trafic%')) AND cate_id='173' ORDER BY ssrubr_id LIMIT 0,1

14. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='location-renault-trafic' AND cate_id='173'

15. 0.3798

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ui.util_verify FROM wish LEFT JOIN util_info ui ON wish.util_id=ui.util_id WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='173' AND MATCH (wish_desc) AGAINST ('(+renault +trafic*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND type_id=1 GROUP BY wish_id

16. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 2588 AND W.type_id = 1) OR (W.util_id <> 2588 AND W.type_id = 2)) AND (M.post_util_id = 2588 OR M.dest_util_id = 2588) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

17. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=2588 AND note_visu IN (1,3,4)

18. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 47616 AND W.type_id = 1) OR (W.util_id <> 47616 AND W.type_id = 2)) AND (M.post_util_id = 47616 OR M.dest_util_id = 47616) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

19. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=47616 AND note_visu IN (1,3,4)

20. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 79306 AND W.type_id = 1) OR (W.util_id <> 79306 AND W.type_id = 2)) AND (M.post_util_id = 79306 OR M.dest_util_id = 79306) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

21. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=79306 AND note_visu IN (1,3,4)

22. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 95509 AND W.type_id = 1) OR (W.util_id <> 95509 AND W.type_id = 2)) AND (M.post_util_id = 95509 OR M.dest_util_id = 95509) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=95509 AND note_visu IN (1,3,4)

24. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 220893 AND W.type_id = 1) OR (W.util_id <> 220893 AND W.type_id = 2)) AND (M.post_util_id = 220893 OR M.dest_util_id = 220893) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=220893 AND note_visu IN (1,3,4)

26. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 549883 AND W.type_id = 1) OR (W.util_id <> 549883 AND W.type_id = 2)) AND (M.post_util_id = 549883 OR M.dest_util_id = 549883) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=549883 AND note_visu IN (1,3,4)

28. 0.0001

    SELECT ssr.ssrubr_id, ssr.ssrubr_slug, ssr.ssrubr_mail, ssr.ssrubr_mail_bis, ssr.ssrubr_keywords, ssr.ssrubr_bt2, ssr.ssrubr_photo, c.cate_title_slug, f.fami_url FROM ssrubr ssr, category c, family f WHERE ssr.cate_id=c.cate_id AND c.fami_id=f.fami_id AND ssr.ssrubr_id IN (484,972,890,460)

29. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (549883,47616)

30. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (549883,47616)

31. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo FROM ssrubr ssr, category c, family f WHERE ssr.cate_id=c.cate_id AND c.fami_id=f.fami_id AND ssr.ssrubr_id='0' LIMIT 0,1

32. 0.0001

    SELECT ss.fami_id, fami_url, ss.cate_id, cate_title_slug, keywords_title FROM `ssrubr_keywords` sk, ssrubr ss, category c, family f WHERE sk.ssrubr_id=ss.ssrubr_id AND ss.cate_id=c.cate_id AND c.fami_id=f.fami_id AND (ssrubr_slug='renault trafic' OR ssrubr_slug like '%renault trafic%' OR MATCH (ssrubr_slug) AGAINST ('(+renault +trafic)')) AND sk.ssrubr_id='484' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

33. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='484' AND actu_niveau=0 ORDER BY actu_ordre DESC

34. 0.0001

    SELECT fami_id as id, fami_title as title, fami_tutotitle, fami_tutodesc, fami_buttontitle, fami_url as slug FROM `family`

35. 0.0001

    SELECT cate_id as id, cate_title as title, cate_title_slug as slug, fami_id FROM `category` WHERE cate_visu=1 AND fami_id='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

36. 0.0001

    SELECT ssrubr_id AS id, ssrubr_title as title, ssrubr_slug as slug, ssrubr_photo, cate_id, fami_id FROM ssrubr WHERE ssrubr_visu=1 AND cate_id IN (173) ORDER BY ssrubr_order ASC

37. 0.0009

    SELECT AVG(note) as note_moy FROM note WHERE note_visu IN (1,2,3,4) AND post_util_id<>7

38. 0.0256

    SELECT COUNT(*) AS nbavis FROM note n INNER JOIN util_info dest ON n.dest_util_id=dest.util_id INNER JOIN util_info post ON n.post_util_id=post.util_id INNER JOIN wish w ON n.wish_id=w.wish_id WHERE n.note_visu IN (1,2,3,4) AND n.post_util_id<>'7'

39. 0.0185

    SELECT count(*) as nbwish FROM wish WHERE wish_visu IN (1,6,10)

39 requetes sql en 0.813