Service garde chien à 59146 Pecquencourt

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. 0.0001

   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='59146' AND ville_nom like '%pecquencourt%' 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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%garde%animaux%' OR ssrubr_title like '%garde%animaux%' OR ssrubr_slug like '%garde%animaux%') 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='59146'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.3833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.21667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.203435678816 AND ville_latitude_deg<50.563164321184 AND ville_longitude_deg>2.9345951513181 AND ville_longitude_deg<3.4987448486819 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. 0.0001

    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 '59146%'

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='garde-animaux' AND cate_id='45'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59146'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((50.3833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.21667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.203435678816 AND ville_latitude_deg<50.563164321184 AND ville_longitude_deg>2.9345951513181 AND ville_longitude_deg<3.4987448486819 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0135

    SELECT ville_cp, ROUND((((acos(sin((50.3833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.21667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.933639197041 AND ville_latitude_deg<50.832960802959 AND ville_longitude_deg>2.5114767973589 AND ville_longitude_deg<3.9218632026411 HAVING distance <= 50 ORDER BY distance ASC

21. 0.008

    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((50.3833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.21667- 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 (59146,59146,59870,59182,59490,59870,59167,59176,59176,59490,59194,59182,59287,59148,59870,59165,59287,59870,59580,59179,59194,59119,59169,59870,59450,59171,59310,59580,59187,59215,59169,59171,59870,59870,59234,59310,59234,59310,59178,59286,59151,59500,59171,59283,59178,59124,59310,59172,59552,59230,59169,59310,59234,59252,59169,59252,59553,59553,59128,62790,59169,59283,59230,59156,59310,59235,59950,59178,59552,59172,59310,59247,62112,59220,59135,59310,59111,59246,59265,59252,59293,59255,59111,59690,59310,59151,62112,59151,59178,62141,59151,59553,59226,59151,62970,59710,59111,59247,59247,59162,62490,62490,59282,59220,59265,62117,59242,62860,59135,59295,59295,59310,59195,59226,59551,59111,59239,59282,59230,59220,62860,59710,62490,59242,59265,59554,7624,62950,59195,59242,59121,59261,62490,59141,7611,59494,62119,62490,62860,59239,59710,62820,62860,59141,59121,62860,62860,59259,7623,59268,59554,59265,59830,59830,62860,59400,59265,59830,59590,59158,62590,59551,59296,59224,62860,62490,59494,62490,59710,59174,59141,59273,7621,62860,7620) 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 (54655,80354,119269,123083,140133,145708,163702,102365,266179,281567,296830,316996,118085,430304,504998)

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 = 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 <> ''

24. 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)

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 = 80354 AND W.type_id = 1) OR (W.util_id <> 80354 AND W.type_id = 2)) AND (M.post_util_id = 80354 OR M.dest_util_id = 80354) 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=80354 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 = 119269 AND W.type_id = 1) OR (W.util_id <> 119269 AND W.type_id = 2)) AND (M.post_util_id = 119269 OR M.dest_util_id = 119269) 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=119269 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 = 123083 AND W.type_id = 1) OR (W.util_id <> 123083 AND W.type_id = 2)) AND (M.post_util_id = 123083 OR M.dest_util_id = 123083) 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=123083 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 = 140133 AND W.type_id = 1) OR (W.util_id <> 140133 AND W.type_id = 2)) AND (M.post_util_id = 140133 OR M.dest_util_id = 140133) 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=140133 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 = 145708 AND W.type_id = 1) OR (W.util_id <> 145708 AND W.type_id = 2)) AND (M.post_util_id = 145708 OR M.dest_util_id = 145708) 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=145708 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 = 163702 AND W.type_id = 1) OR (W.util_id <> 163702 AND W.type_id = 2)) AND (M.post_util_id = 163702 OR M.dest_util_id = 163702) 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=163702 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 = 102365 AND W.type_id = 1) OR (W.util_id <> 102365 AND W.type_id = 2)) AND (M.post_util_id = 102365 OR M.dest_util_id = 102365) 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=102365 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 = 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 <> ''

40. 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)

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 = 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 <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=281567 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 = 296830 AND W.type_id = 1) OR (W.util_id <> 296830 AND W.type_id = 2)) AND (M.post_util_id = 296830 OR M.dest_util_id = 296830) 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=296830 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 = 316996 AND W.type_id = 1) OR (W.util_id <> 316996 AND W.type_id = 2)) AND (M.post_util_id = 316996 OR M.dest_util_id = 316996) 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=316996 AND note_visu IN (1,3,4)

47. 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 = 118085 AND W.type_id = 1) OR (W.util_id <> 118085 AND W.type_id = 2)) AND (M.post_util_id = 118085 OR M.dest_util_id = 118085) 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=118085 AND note_visu IN (1,3,4)

49. 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 = 430304 AND W.type_id = 1) OR (W.util_id <> 430304 AND W.type_id = 2)) AND (M.post_util_id = 430304 OR M.dest_util_id = 430304) 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=430304 AND note_visu IN (1,3,4)

51. 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 = 504998 AND W.type_id = 1) OR (W.util_id <> 504998 AND W.type_id = 2)) AND (M.post_util_id = 504998 OR M.dest_util_id = 504998) 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=504998 AND note_visu IN (1,3,4)

53. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59146'

54. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.3833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.21667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.203435678816 AND ville_latitude_deg<50.563164321184 AND ville_longitude_deg>2.9345951513181 AND ville_longitude_deg<3.4987448486819 HAVING distance <= 20 ORDER BY distance ASC

55. 0.015

    SELECT ville_cp, ROUND((((acos(sin((50.3833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.21667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.933639197041 AND ville_latitude_deg<50.832960802959 AND ville_longitude_deg>2.5114767973589 AND ville_longitude_deg<3.9218632026411 HAVING distance <= 50 ORDER BY distance ASC

56. 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)

57. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (119269,163702,296830,140133,118085,430304,281567,316996,102365,504998,266179,123083,54655,145708,80354)

58. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (119269,163702,296830,140133,118085,430304,281567,316996,102365,504998,266179,123083,54655,145708,80354)

59. 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

60. 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

61. 0.0001

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

62. 0.0001

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

63. 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

64. 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

65. 0.0009

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

66. 0.0227

    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'

67. 0.0173

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

67 requetes sql en 0.0909