Location metre nacelle à 30000 Nîmes

1. 0.0001

   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='materiel-bricolage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=87

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('30' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='30000' AND ville_nom like '%nimes%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0005

   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<>''

7. 0.0022

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%metre%nacelle%' OR ssrubr_title like '%metre%nacelle%' OR ssrubr_slug like '%metre%nacelle%') AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SELECT cate_title_form, cate_title FROM category WHERE cate_title='metre%nacelle' OR cate_title_aff='metre%nacelle' LIMIT 0,1

9. 0.0001

   SHOW TABLES LIKE 'pays'

10. 0.0002

    SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

11. 0.0002

    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

12. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='30000'

13. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((37.5744*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((37.5744*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((43.7408- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>37.394535678816 AND ville_latitude_deg<37.754264321184 AND ville_longitude_deg>43.513859299065 AND ville_longitude_deg<43.967740700935 HAVING distance <= 20 ORDER BY distance ASC

14. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='metre nacelle'

15. 0.0015

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87' AND wish_visu IN (1,6,10) AND wish_cp like '30000%'

16. 0.0001

    SELECT * FROM texte WHERE cate_id=87

17. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='metre nacelle' OR ssrubr_slug='metre-nacelle' OR (ssrubr_title like '%metre nacelle%')) AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

18. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='metre-nacelle' AND cate_id='87'

19. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='30000'

20. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((37.5744*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((37.5744*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((43.7408- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>37.394535678816 AND ville_latitude_deg<37.754264321184 AND ville_longitude_deg>43.513859299065 AND ville_longitude_deg<43.967740700935 HAVING distance <= 20 ORDER BY distance ASC

21. 0.0042

    SELECT ville_cp, ROUND((((acos(sin((37.5744*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((37.5744*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((43.7408- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>37.124739197041 AND ville_latitude_deg<38.024060802959 AND ville_longitude_deg>43.173443355302 AND ville_longitude_deg<44.308156644698 HAVING distance <= 50 ORDER BY distance ASC

22. 0.0657

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ui.util_verify, ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((37.5744*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((37.5744*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((43.7408- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM wish LEFT JOIN util_info ui ON wish.util_id=ui.util_id LEFT JOIN villes v ON wish.wish_cp=v.ville_cp WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='87' AND wish_visu IN (1,6,10) AND wish_cp IN (30000,30000,30110,30110,30110,30110,30110,30110,30110,30110,30300,30110,30110,30110,30110,30110,30110,30110,30110) AND type_id=1 GROUP BY wish_id

23. 0.0002

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (144403,54173,199892,118623,222775,237751,263877,270760,289720,304033,58318,330761,379704,325950,439900,457793,480434,231535)

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 = 144403 AND W.type_id = 1) OR (W.util_id <> 144403 AND W.type_id = 2)) AND (M.post_util_id = 144403 OR M.dest_util_id = 144403) 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=144403 AND note_visu IN (1,3,4)

26. 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 = 54173 AND W.type_id = 1) OR (W.util_id <> 54173 AND W.type_id = 2)) AND (M.post_util_id = 54173 OR M.dest_util_id = 54173) 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=54173 AND note_visu IN (1,3,4)

28. 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 = 199892 AND W.type_id = 1) OR (W.util_id <> 199892 AND W.type_id = 2)) AND (M.post_util_id = 199892 OR M.dest_util_id = 199892) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0002

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=199892 AND note_visu IN (1,3,4)

30. 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 = 118623 AND W.type_id = 1) OR (W.util_id <> 118623 AND W.type_id = 2)) AND (M.post_util_id = 118623 OR M.dest_util_id = 118623) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=118623 AND note_visu IN (1,3,4)

32. 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 = 222775 AND W.type_id = 1) OR (W.util_id <> 222775 AND W.type_id = 2)) AND (M.post_util_id = 222775 OR M.dest_util_id = 222775) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=222775 AND note_visu IN (1,3,4)

34. 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 = 237751 AND W.type_id = 1) OR (W.util_id <> 237751 AND W.type_id = 2)) AND (M.post_util_id = 237751 OR M.dest_util_id = 237751) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=237751 AND note_visu IN (1,3,4)

36. 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 = 263877 AND W.type_id = 1) OR (W.util_id <> 263877 AND W.type_id = 2)) AND (M.post_util_id = 263877 OR M.dest_util_id = 263877) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=263877 AND note_visu IN (1,3,4)

38. 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 = 270760 AND W.type_id = 1) OR (W.util_id <> 270760 AND W.type_id = 2)) AND (M.post_util_id = 270760 OR M.dest_util_id = 270760) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

39. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=270760 AND note_visu IN (1,3,4)

40. 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 = 289720 AND W.type_id = 1) OR (W.util_id <> 289720 AND W.type_id = 2)) AND (M.post_util_id = 289720 OR M.dest_util_id = 289720) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

41. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=289720 AND note_visu IN (1,3,4)

42. 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 = 304033 AND W.type_id = 1) OR (W.util_id <> 304033 AND W.type_id = 2)) AND (M.post_util_id = 304033 OR M.dest_util_id = 304033) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

43. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=304033 AND note_visu IN (1,3,4)

44. 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 = 58318 AND W.type_id = 1) OR (W.util_id <> 58318 AND W.type_id = 2)) AND (M.post_util_id = 58318 OR M.dest_util_id = 58318) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

45. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=58318 AND note_visu IN (1,3,4)

46. 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 = 330761 AND W.type_id = 1) OR (W.util_id <> 330761 AND W.type_id = 2)) AND (M.post_util_id = 330761 OR M.dest_util_id = 330761) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

47. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=330761 AND note_visu IN (1,3,4)

48. 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 = 379704 AND W.type_id = 1) OR (W.util_id <> 379704 AND W.type_id = 2)) AND (M.post_util_id = 379704 OR M.dest_util_id = 379704) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

49. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=379704 AND note_visu IN (1,3,4)

50. 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 = 325950 AND W.type_id = 1) OR (W.util_id <> 325950 AND W.type_id = 2)) AND (M.post_util_id = 325950 OR M.dest_util_id = 325950) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

51. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=325950 AND note_visu IN (1,3,4)

52. 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 = 439900 AND W.type_id = 1) OR (W.util_id <> 439900 AND W.type_id = 2)) AND (M.post_util_id = 439900 OR M.dest_util_id = 439900) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

53. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=439900 AND note_visu IN (1,3,4)

54. 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 = 457793 AND W.type_id = 1) OR (W.util_id <> 457793 AND W.type_id = 2)) AND (M.post_util_id = 457793 OR M.dest_util_id = 457793) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

55. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=457793 AND note_visu IN (1,3,4)

56. 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 = 480434 AND W.type_id = 1) OR (W.util_id <> 480434 AND W.type_id = 2)) AND (M.post_util_id = 480434 OR M.dest_util_id = 480434) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

57. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=480434 AND note_visu IN (1,3,4)

58. 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 = 231535 AND W.type_id = 1) OR (W.util_id <> 231535 AND W.type_id = 2)) AND (M.post_util_id = 231535 OR M.dest_util_id = 231535) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

59. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=231535 AND note_visu IN (1,3,4)

60. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='30000'

61. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((37.5744*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((37.5744*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((43.7408- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>37.394535678816 AND ville_latitude_deg<37.754264321184 AND ville_longitude_deg>43.513859299065 AND ville_longitude_deg<43.967740700935 HAVING distance <= 20 ORDER BY distance ASC

62. 0.0043

    SELECT ville_cp, ROUND((((acos(sin((37.5744*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((37.5744*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((43.7408- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>37.124739197041 AND ville_latitude_deg<38.024060802959 AND ville_longitude_deg>43.173443355302 AND ville_longitude_deg<44.308156644698 HAVING distance <= 50 ORDER BY distance ASC

63. 0.0003

    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 (42,65,47,73,72,55,71,1149,70,69,1157,32,76,37,44,50,66,28,64,58,59,63)

64. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (439900,270760,457793,58318,118623,325950,231535,54173,304033,379704,289720,263877,237751,144403,480434,330761,222775,199892)

65. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (439900,270760,457793,58318,118623,325950,231535,54173,304033,379704,289720,263877,237751,144403,480434,330761,222775,199892)

66. 0.0002

    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='metre nacelle' OR ssrubr_slug like '%metre nacelle%' OR MATCH (ssrubr_slug) AGAINST ('(+metre +nacelle)')) AND sk.ssrubr_id='' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

67. 0.0001

    SELECT ss.ssrubr_id, ss.ssrubr_slug, ss.ssrubr_title, ss.ssrubr_keywords, ss.ssrubr_mail, c.cate_title_slug FROM ssrubr ss INNER JOIN category c ON ss.cate_id = c.cate_id WHERE ss.ssrubr_slug = 'metre-nacelle' AND ss.cate_id = 87 LIMIT 1

68. 0.0003

    SELECT ss.ssrubr_id, ss.ssrubr_slug, ss.ssrubr_title, ss.ssrubr_keywords, ss.ssrubr_mail, c.cate_title_slug FROM ssrubr ss INNER JOIN category c ON ss.cate_id = c.cate_id WHERE ss.ssrubr_visu = 1 AND ss.fami_id = 5 AND ss.cate_id = 87 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

69. 0.0001

    SELECT ss.ssrubr_id, ss.ssrubr_slug, ss.ssrubr_title, ss.ssrubr_keywords, ss.ssrubr_mail, c.cate_title_slug FROM ssrubr ss INNER JOIN category c ON ss.cate_id = c.cate_id WHERE ss.ssrubr_slug = 'metre-nacelle' AND ss.cate_id = 87 LIMIT 1

70. 0.0001

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

71. 0.0001

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

72. 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

73. 0.0003

    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 (87) ORDER BY ssrubr_order ASC

74. 0.0013

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

75. 0.0306

    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'

76. 0.0244

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

76 requetes sql en 0.1472