Service garde chien à 59166 Bousbecque

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. 0.0008

   SELECT cate_id FROM category WHERE fami_id='3' AND cate_title_slug='garde-d-animaux'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=45

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('59' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59166' AND ville_nom like '%bousbecque%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 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<>''

7. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%chien%' OR ssrubr_title like '%chien%' OR ssrubr_slug like '%chien%') AND cate_id='45' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 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

11. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='59166'

12. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((50.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.586835678816 AND ville_latitude_deg<50.946564321184 AND ville_longitude_deg>2.7989498878248 AND ville_longitude_deg<3.3677101121752 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='chien; pet sitter; petsitter; garde animaux'

14. 1.9611

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='45' AND ssrubr_id='951' AND wish_visu IN (1,6,10) AND wish_cp like '59166%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=45

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='chien; pet sitter; petsitter; garde animaux' OR ssrubr_slug='chien;-pet-sitter;-petsitter;-garde-animaux' OR (ssrubr_title like '%chien; pet sitter; petsitter; garde animaux%')) AND cate_id='45' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0061

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='chien' AND cate_id='45'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59166'

19. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((50.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.586835678816 AND ville_latitude_deg<50.946564321184 AND ville_longitude_deg>2.7989498878248 AND ville_longitude_deg<3.3677101121752 HAVING distance <= 20 ORDER BY distance ASC

20. 0.015

    SELECT ville_cp, ROUND((((acos(sin((50.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.317039197041 AND ville_latitude_deg<51.216360802959 AND ville_longitude_deg>2.3723735889292 AND ville_longitude_deg<3.7942864110708 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0135

    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((50.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- 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='3' AND cate_id='45' AND ssrubr_id='951' AND wish_visu IN (1,6,10) AND wish_cp IN (59166,59166,59117,8940,59126,59223,59250,8930,59560,8940,59960,7780,7780,8930,8560,59200,59910,8930,59890,59420,7781,7784,8980,7700,59560,8890,59100,59118,7784,8560,8980,8980,59890,59491,59493,59655,59650,59520,8511,8880,7712,59237,59700,8902,7700,8510,59236,59150,8501,8560,59290,59170,59350,8880,59840,8510,59110,8957,8501,59130,8980,8902,59840,8510,59116,8880,59370,8890,59390,8953,8500,59390,7730,59350,59000,59800,59160,59777,59115,7782,59390,59160,59510,7783,8980,7730,8902,7711,7730,59930,59840,8952,59510,59390,8900,8900,59260,59280,8520,59320,7730,8860,59120,59320,8800,7730,8510,8950,59320,8956,59780,8950,7730,59790,8530,8550,8870,59193,8900,8920,8840,59850,59152,59280,59320,8840,8800,7520,59320,8531,59320,59320,7740,59320,7730,8920,8587,8554,8900) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (69824,159518,171044,78738,199258,223361,265404,281058,338891,341679,224606,374784,384471,467191,485391,519007,524545)

23. 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 = 69824 AND W.type_id = 1) OR (W.util_id <> 69824 AND W.type_id = 2)) AND (M.post_util_id = 69824 OR M.dest_util_id = 69824) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=69824 AND note_visu IN (1,3,4)

25. 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 = 159518 AND W.type_id = 1) OR (W.util_id <> 159518 AND W.type_id = 2)) AND (M.post_util_id = 159518 OR M.dest_util_id = 159518) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=159518 AND note_visu IN (1,3,4)

27. 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 = 171044 AND W.type_id = 1) OR (W.util_id <> 171044 AND W.type_id = 2)) AND (M.post_util_id = 171044 OR M.dest_util_id = 171044) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=171044 AND note_visu IN (1,3,4)

29. 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 = 78738 AND W.type_id = 1) OR (W.util_id <> 78738 AND W.type_id = 2)) AND (M.post_util_id = 78738 OR M.dest_util_id = 78738) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

30. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=78738 AND note_visu IN (1,3,4)

31. 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 = 199258 AND W.type_id = 1) OR (W.util_id <> 199258 AND W.type_id = 2)) AND (M.post_util_id = 199258 OR M.dest_util_id = 199258) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

32. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=199258 AND note_visu IN (1,3,4)

33. 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 = 223361 AND W.type_id = 1) OR (W.util_id <> 223361 AND W.type_id = 2)) AND (M.post_util_id = 223361 OR M.dest_util_id = 223361) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

34. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=223361 AND note_visu IN (1,3,4)

35. 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 = 265404 AND W.type_id = 1) OR (W.util_id <> 265404 AND W.type_id = 2)) AND (M.post_util_id = 265404 OR M.dest_util_id = 265404) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=265404 AND note_visu IN (1,3,4)

37. 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 = 281058 AND W.type_id = 1) OR (W.util_id <> 281058 AND W.type_id = 2)) AND (M.post_util_id = 281058 OR M.dest_util_id = 281058) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

38. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=281058 AND note_visu IN (1,3,4)

39. 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 = 338891 AND W.type_id = 1) OR (W.util_id <> 338891 AND W.type_id = 2)) AND (M.post_util_id = 338891 OR M.dest_util_id = 338891) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=338891 AND note_visu IN (1,3,4)

41. 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 = 341679 AND W.type_id = 1) OR (W.util_id <> 341679 AND W.type_id = 2)) AND (M.post_util_id = 341679 OR M.dest_util_id = 341679) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=341679 AND note_visu IN (1,3,4)

43. 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 = 224606 AND W.type_id = 1) OR (W.util_id <> 224606 AND W.type_id = 2)) AND (M.post_util_id = 224606 OR M.dest_util_id = 224606) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=224606 AND note_visu IN (1,3,4)

45. 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 = 374784 AND W.type_id = 1) OR (W.util_id <> 374784 AND W.type_id = 2)) AND (M.post_util_id = 374784 OR M.dest_util_id = 374784) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

46. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=374784 AND note_visu IN (1,3,4)

47. 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 = 384471 AND W.type_id = 1) OR (W.util_id <> 384471 AND W.type_id = 2)) AND (M.post_util_id = 384471 OR M.dest_util_id = 384471) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

48. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=384471 AND note_visu IN (1,3,4)

49. 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 = 467191 AND W.type_id = 1) OR (W.util_id <> 467191 AND W.type_id = 2)) AND (M.post_util_id = 467191 OR M.dest_util_id = 467191) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

50. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=467191 AND note_visu IN (1,3,4)

51. 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 = 485391 AND W.type_id = 1) OR (W.util_id <> 485391 AND W.type_id = 2)) AND (M.post_util_id = 485391 OR M.dest_util_id = 485391) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

52. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=485391 AND note_visu IN (1,3,4)

53. 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 = 519007 AND W.type_id = 1) OR (W.util_id <> 519007 AND W.type_id = 2)) AND (M.post_util_id = 519007 OR M.dest_util_id = 519007) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

54. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=519007 AND note_visu IN (1,3,4)

55. 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 = 524545 AND W.type_id = 1) OR (W.util_id <> 524545 AND W.type_id = 2)) AND (M.post_util_id = 524545 OR M.dest_util_id = 524545) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

56. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=524545 AND note_visu IN (1,3,4)

57. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59166'

58. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((50.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.586835678816 AND ville_latitude_deg<50.946564321184 AND ville_longitude_deg>2.7989498878248 AND ville_longitude_deg<3.3677101121752 HAVING distance <= 20 ORDER BY distance ASC

59. 0.0094

    SELECT ville_cp, ROUND((((acos(sin((50.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.317039197041 AND ville_latitude_deg<51.216360802959 AND ville_longitude_deg>2.3723735889292 AND ville_longitude_deg<3.7942864110708 HAVING distance <= 50 ORDER BY distance ASC

60. 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 (951)

61. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (171044,223361,485391,519007,338891,374784,281058,78738,467191,384471,224606,265404,69824,341679,524545,199258,159518)

62. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (171044,223361,485391,519007,338891,374784,281058,78738,467191,384471,224606,265404,69824,341679,524545,199258,159518)

63. 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='chien; pet sitter; petsitter; garde animaux' OR ssrubr_slug like '%chien; pet sitter; petsitter; garde animaux%' OR MATCH (ssrubr_slug) AGAINST ('(+chien; +pet +sitter; +petsitter; +garde +animaux)')) AND sk.ssrubr_id='951' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

64. 0.0002

    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 = 3 AND ss.cate_id = 45 AND ss.ssrubr_id <> 951 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

65. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='951' AND actu_niveau=0 ORDER BY actu_ordre DESC

66. 0.0001

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

67. 0.0002

    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='3' AND cate_cate_id IS NULL ORDER BY cate_order ASC

68. 0.0002

    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 (45) ORDER BY ssrubr_order ASC

69. 0.0019

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

70. 0.0383

    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'

71. 0.036

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

71 requetes sql en 2.1