Service mécanicien automobile à 59810 Lesquin

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='3' AND cate_title_slug='depanneur-reparateur'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=231

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='59810' AND ville_nom like '%lesquin%' 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 '%mecanique%auto%' OR ssrubr_title like '%mecanique%auto%' OR ssrubr_slug like '%mecanique%auto%') AND cate_id='231' 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='59810'

12. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.403435678816 AND ville_latitude_deg<50.763164321184 AND ville_longitude_deg>2.8333988798432 AND ville_longitude_deg<3.3999411201568 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='mécanique auto; mecanicien; mécanicien; mecano; me'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='231' AND ssrubr_id='963' AND wish_visu IN (1,6,10) AND wish_cp like '59810%'

15. 0

    SELECT * FROM texte WHERE cate_id=231

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='mécanique auto; mecanicien; mécanicien; mecano; me' OR ssrubr_slug='mécanique-auto;-mecanicien;-mécanicien;-mecano;-me' OR (ssrubr_title like '%mécanique auto; mecanicien; mécanicien; mecano; me%')) AND cate_id='231' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='mecanique-auto' AND cate_id='231'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59810'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.403435678816 AND ville_latitude_deg<50.763164321184 AND ville_longitude_deg>2.8333988798432 AND ville_longitude_deg<3.3999411201568 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0137

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.133639197041 AND ville_latitude_deg<51.032960802959 AND ville_longitude_deg>2.4084860928827 AND ville_longitude_deg<3.8248539071173 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0087

    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((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.11667- 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='231' AND ssrubr_id='963' AND wish_visu IN (1,6,10) AND wish_cp IN (59810,59810,59790,59262,59155,59260,59273,59273,59175,59830,59139,59175,59710,59710,59152,59152,59370,59000,59800,59777,59350,59160,59242,59830,59113,59139,59510,59152,59830,59710,59120,59152,59242,59110,59320,59263,59551,59242,59830,59710,59780,59510,59130,59551,59170,59290,59700,59830,59780,59320,59780,59350,59147,59320,59133,59390,59239,59830,59520,59147,59147,59830,59650,59655,59493,59491,59235,59320,59246,59390,59211,59320,59390,59133,59118,59239,59390,59840,7522,59261,59310,7522,59160,59112,59320,59251,59310,59420,59910,62820,59310,7502,7520,59100,59320,59320,7610,59237,59840,59310,7522,59840,7730,59112,59134,59136,7611,59115,59320,59272,7522,59150,59283,59200,7504,59310,62220,59184,7730,59310,59185,59162,62590,59310,7618,7712,59134,7506,7501,59126,59250,59283,59223,59134,59890,62790,59310,7730,7730,7730,7520,7503,62141,7500,59134,59148,59274,59280,59221,59310,7620,59496,59194,59286,59960,7730,7743,59930,62410,59690,59310,59134,59249,7624,7700,59950,62138,59870,59116,62119,62880,7700,7740,7500,7730,7743,7620,7500,59236,62710,62970,59280,59226) 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 (47616,73001,72233,90101,110789,175910,237690,311418,345659,355233,181315,485395,495262,541194)

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 = 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 <> ''

24. 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)

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 = 73001 AND W.type_id = 1) OR (W.util_id <> 73001 AND W.type_id = 2)) AND (M.post_util_id = 73001 OR M.dest_util_id = 73001) 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=73001 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 = 72233 AND W.type_id = 1) OR (W.util_id <> 72233 AND W.type_id = 2)) AND (M.post_util_id = 72233 OR M.dest_util_id = 72233) 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=72233 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 = 90101 AND W.type_id = 1) OR (W.util_id <> 90101 AND W.type_id = 2)) AND (M.post_util_id = 90101 OR M.dest_util_id = 90101) 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=90101 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 = 110789 AND W.type_id = 1) OR (W.util_id <> 110789 AND W.type_id = 2)) AND (M.post_util_id = 110789 OR M.dest_util_id = 110789) 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=110789 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 = 175910 AND W.type_id = 1) OR (W.util_id <> 175910 AND W.type_id = 2)) AND (M.post_util_id = 175910 OR M.dest_util_id = 175910) 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=175910 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 = 237690 AND W.type_id = 1) OR (W.util_id <> 237690 AND W.type_id = 2)) AND (M.post_util_id = 237690 OR M.dest_util_id = 237690) 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=237690 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 = 311418 AND W.type_id = 1) OR (W.util_id <> 311418 AND W.type_id = 2)) AND (M.post_util_id = 311418 OR M.dest_util_id = 311418) 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=311418 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 = 345659 AND W.type_id = 1) OR (W.util_id <> 345659 AND W.type_id = 2)) AND (M.post_util_id = 345659 OR M.dest_util_id = 345659) 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=345659 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 = 355233 AND W.type_id = 1) OR (W.util_id <> 355233 AND W.type_id = 2)) AND (M.post_util_id = 355233 OR M.dest_util_id = 355233) 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=355233 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 = 181315 AND W.type_id = 1) OR (W.util_id <> 181315 AND W.type_id = 2)) AND (M.post_util_id = 181315 OR M.dest_util_id = 181315) 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=181315 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 = 485395 AND W.type_id = 1) OR (W.util_id <> 485395 AND W.type_id = 2)) AND (M.post_util_id = 485395 OR M.dest_util_id = 485395) 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=485395 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 = 495262 AND W.type_id = 1) OR (W.util_id <> 495262 AND W.type_id = 2)) AND (M.post_util_id = 495262 OR M.dest_util_id = 495262) 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=495262 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 = 541194 AND W.type_id = 1) OR (W.util_id <> 541194 AND W.type_id = 2)) AND (M.post_util_id = 541194 OR M.dest_util_id = 541194) 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=541194 AND note_visu IN (1,3,4)

51. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59810'

52. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.403435678816 AND ville_latitude_deg<50.763164321184 AND ville_longitude_deg>2.8333988798432 AND ville_longitude_deg<3.3999411201568 HAVING distance <= 20 ORDER BY distance ASC

53. 0.0139

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.133639197041 AND ville_latitude_deg<51.032960802959 AND ville_longitude_deg>2.4084860928827 AND ville_longitude_deg<3.8248539071173 HAVING distance <= 50 ORDER BY distance ASC

54. 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 (963)

55. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (181315,90101,73001,110789,72233,495262,355233,311418,237690,541194,485395,345659,175910,47616)

56. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (181315,90101,73001,110789,72233,495262,355233,311418,237690,541194,485395,345659,175910,47616)

57. 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='mécanique auto; mecanicien; mécanicien; mecano; me' OR ssrubr_slug like '%mécanique auto; mecanicien; mécanicien; mecano; me%' OR MATCH (ssrubr_slug) AGAINST ('(+mécanique +auto; +mecanicien; +mécanicien; +mecano; +me)')) AND sk.ssrubr_id='963' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

58. 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 = 231 AND ss.ssrubr_id <> 963 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

59. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='963' AND actu_niveau=0 ORDER BY actu_ordre DESC

60. 0

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

61. 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

62. 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 (231) ORDER BY ssrubr_order ASC

63. 0.0009

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

64. 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'

65. 0.0164

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

65 requetes sql en 0.0891