Service garde chien à 59370 Mons-en-baroeul

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='3' AND cate_title_slug='garde-d-animaux'

3. 0

   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='59370' AND ville_nom like '%mons%en%baroeul%' 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. 0.0001

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 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

11. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='59370'

12. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((50.642*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.642*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.10778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.462135678816 AND ville_latitude_deg<50.821864321184 AND ville_longitude_deg>2.8241551882322 AND ville_longitude_deg<3.3914048117678 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. 0.0003

    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 '59370%'

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. 0.0001

    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='59370'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.642*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.642*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.10778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.462135678816 AND ville_latitude_deg<50.821864321184 AND ville_longitude_deg>2.8241551882322 AND ville_longitude_deg<3.3914048117678 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0066

    SELECT ville_cp, ROUND((((acos(sin((50.642*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.642*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.10778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.192339197041 AND ville_latitude_deg<51.091660802959 AND ville_longitude_deg>2.3987118562302 AND ville_longitude_deg<3.8168481437698 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0093

    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((50.642*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.642*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.10778- 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 (59370,59370,59260,59110,59000,59800,59160,59350,59777,59700,59170,59290,59790,59520,59350,59491,59493,59650,59655,59130,59510,59118,59910,59510,59810,59420,59120,59155,59100,59139,59262,59152,59152,59840,59390,59152,59390,59390,59830,59200,59175,59237,59780,59320,59152,59139,59320,59390,59175,59273,59320,59160,59320,59150,59126,59223,59250,59840,59273,59320,59115,59780,59840,59320,59890,7712,59263,59830,59113,7730,59780,59211,59830,7520,59710,59710,59960,7730,59320,59320,59242,59830,7522,7730,7700,59147,59830,59320,7522,59710,59166,59830,7700,7522,59134,59147,59242,59117,59551,59242,7730,59236,7730,59116,59147,59890,7780,7780,59830,7730,59560,59930,59133,7522,59710,7502,59280,59136,59551,59560,59134,8940,7730,7520,8930,59239,59251,59133,59280,7784,7784,7711,59272,7740,7610,59112,59134,7743,7504,59112,8930,7783,8511,7503,8510,7501,8930,59184,59235,8560,59246,59239,7740,7743,59261,7611,7782,59310,7506,59310,59193,59249,62820,8940,59310,59134,7781,7742,8510,8510,7618,62840,59185,8587,7500,59310,59274,59249) 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 (48165,54655,69824,90936,159518,171044,78738,199258,223361,265404,266179,281567,281058,296830,338891,341679,224606,374784,384471,467191,480787,485391,519007,524545)

23. 0.0002

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24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=48165 AND note_visu IN (1,3,4)

25. 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 = 54655 AND W.type_id = 1) OR (W.util_id <> 54655 AND W.type_id = 2)) AND (M.post_util_id = 54655 OR M.dest_util_id = 54655) 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=54655 AND note_visu IN (1,3,4)

27. 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 = 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 <> ''

28. 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)

29. 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 = 90936 AND W.type_id = 1) OR (W.util_id <> 90936 AND W.type_id = 2)) AND (M.post_util_id = 90936 OR M.dest_util_id = 90936) 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=90936 AND note_visu IN (1,3,4)

31. 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 = 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 <> ''

32. 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)

33. 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 = 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 <> ''

34. 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)

35. 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 = 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 <> ''

36. 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)

37. 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 = 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 <> ''

38. 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)

39. 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 = 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 <> ''

40. 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)

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 = 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 <> ''

42. 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)

43. 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 = 266179 AND W.type_id = 1) OR (W.util_id <> 266179 AND W.type_id = 2)) AND (M.post_util_id = 266179 OR M.dest_util_id = 266179) 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=266179 AND note_visu IN (1,3,4)

45. 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 = 281567 AND W.type_id = 1) OR (W.util_id <> 281567 AND W.type_id = 2)) AND (M.post_util_id = 281567 OR M.dest_util_id = 281567) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

46. 0.0001

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47. 0.0001

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48. 0.0001

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49. 0.0001

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50. 0.0001

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51. 0.0001

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52. 0.0001

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53. 0.0001

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54. 0.0001

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55. 0.0001

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56. 0.0001

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57. 0.0001

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58. 0.0001

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59. 0.0001

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60. 0.0001

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61. 0.0001

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62. 0.0001

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63. 0.0001

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64. 0.0001

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65. 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 = 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 <> ''

66. 0.0001

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67. 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 = 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 <> ''

68. 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)

69. 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 = 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 <> ''

70. 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)

71. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59370'

72. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.642*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.642*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.10778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.462135678816 AND ville_latitude_deg<50.821864321184 AND ville_longitude_deg>2.8241551882322 AND ville_longitude_deg<3.3914048117678 HAVING distance <= 20 ORDER BY distance ASC

73. 0.0067

    SELECT ville_cp, ROUND((((acos(sin((50.642*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.642*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.10778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.192339197041 AND ville_latitude_deg<51.091660802959 AND ville_longitude_deg>2.3987118562302 AND ville_longitude_deg<3.8168481437698 HAVING distance <= 50 ORDER BY distance ASC

74. 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)

75. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (281058,384471,224606,265404,374784,69824,519007,338891,78738,480787,171044,223361,467191,266179,485391,281567,199258,90936,341679,524545,48165,54655,296830,159518)

76. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (281058,384471,224606,265404,374784,69824,519007,338891,78738,480787,171044,223361,467191,266179,485391,281567,199258,90936,341679,524545,48165,54655,296830,159518)

77. 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

78. 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

79. 0.0001

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

80. 0

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

81. 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

82. 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

83. 0.0016

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

84. 0.0287

    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'

85. 0.02

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

85 requetes sql en 0.0881