Location motoculteur à 93420 Villepinte

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='5' AND cate_title_slug='materiel-jardinage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=88

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='93'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='93420' AND ville_nom like '%villepinte%' 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 '%motoculteur%' OR ssrubr_title like '%motoculteur%' OR ssrubr_slug like '%motoculteur%') AND cate_id='88' 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='93420'

12. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.786835678816 AND ville_latitude_deg<49.146564321184 AND ville_longitude_deg>2.2593539337662 AND ville_longitude_deg<2.8073060662338 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='motoculteur'

14. 0.0006

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='88'AND MATCH (wish_title,wish_desc) AGAINST ('+motoculteur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '93420%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=88

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='motoculteur' OR ssrubr_slug='motoculteur' OR (ssrubr_title like '%motoculteur%')) AND cate_id='88' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='motoculteur' AND cate_id='88'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93420'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.786835678816 AND ville_latitude_deg<49.146564321184 AND ville_longitude_deg>2.2593539337662 AND ville_longitude_deg<2.8073060662338 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0142

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.517039197041 AND ville_latitude_deg<49.416360802959 AND ville_longitude_deg>1.8483839280719 AND ville_longitude_deg<3.2182760719281 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0567

    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((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- 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='88' AND MATCH (wish_desc) AGAINST ('(+motoculteur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (93420,93420,93600,93290,93270,95700,93410,95500,93190,93390,95500,77290,95500,77181,93470,93700,93150,77270,95500,95190,77990,95380,93340,93320,95380,93370,77181,77990,95140,95400,93440,93140,95720,95380,93220,93350,95380,93000,93250,77410,77410,77230,77290,77500,93130,95190,77230,93240,93360,77230,95720,93460,95470,95200,95400,95380,93110,93230,77177,93260,77230,93380,77410,93500,93120,93300,95440,77410,77410,95190,77230,95350,93330,95670,95470,93160,94170,95850,93100,93200,93210,95360,77230,95720,93310,94120,95410,77420,77360,93170,93430,77230,95460,95850,77230,77400,95350,77230,77410,95170,95720,95470,94350,94360,77186,94300,95160,92390,77410,93450,60128,95470,94130,77400,95270,77200,95270,77400,77230,95880,95270,95270,77185,95570,77400,95330,93400,77400,93800,94500,94420,95270,77280,77600,77410,94160,95230,77230,95570,77400,60128,94340,77230,77400,95580,95580,77165,92230,94410,77090,77183,77184,60330,95570,77600,77600,77165,77450,75003,75116,75018,75019,75020,75017,95270,75007,75013,75012,75011,75001,75004,75002,75010,75006,75009,75008,75000,75005,75016,75015,75014,95218,95210,77600,77410,77410,60950,60520,60560,94430,92110,95600,77165,77165,77410,94340,94210,94100,95270,94220,95680,92600,95270,95560,77144,95570,77230,77144,77700,77340,77600,95120,77450,92300,77450,94700,95270,94200,94205) AND type_id=1 GROUP BY wish_id

22. 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 = 18763 AND W.type_id = 1) OR (W.util_id <> 18763 AND W.type_id = 2)) AND (M.post_util_id = 18763 OR M.dest_util_id = 18763) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=18763 AND note_visu IN (1,3,4)

24. 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 = 54791 AND W.type_id = 1) OR (W.util_id <> 54791 AND W.type_id = 2)) AND (M.post_util_id = 54791 OR M.dest_util_id = 54791) 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=54791 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 = 72410 AND W.type_id = 1) OR (W.util_id <> 72410 AND W.type_id = 2)) AND (M.post_util_id = 72410 OR M.dest_util_id = 72410) 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=72410 AND note_visu IN (1,3,4)

28. 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 = 80570 AND W.type_id = 1) OR (W.util_id <> 80570 AND W.type_id = 2)) AND (M.post_util_id = 80570 OR M.dest_util_id = 80570) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=80570 AND note_visu IN (1,3,4)

30. 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 = 106506 AND W.type_id = 1) OR (W.util_id <> 106506 AND W.type_id = 2)) AND (M.post_util_id = 106506 OR M.dest_util_id = 106506) 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=106506 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 = 184864 AND W.type_id = 1) OR (W.util_id <> 184864 AND W.type_id = 2)) AND (M.post_util_id = 184864 OR M.dest_util_id = 184864) 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=184864 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 = 189758 AND W.type_id = 1) OR (W.util_id <> 189758 AND W.type_id = 2)) AND (M.post_util_id = 189758 OR M.dest_util_id = 189758) 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=189758 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 = 100509 AND W.type_id = 1) OR (W.util_id <> 100509 AND W.type_id = 2)) AND (M.post_util_id = 100509 OR M.dest_util_id = 100509) 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=100509 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 = 280697 AND W.type_id = 1) OR (W.util_id <> 280697 AND W.type_id = 2)) AND (M.post_util_id = 280697 OR M.dest_util_id = 280697) 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=280697 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 = 283622 AND W.type_id = 1) OR (W.util_id <> 283622 AND W.type_id = 2)) AND (M.post_util_id = 283622 OR M.dest_util_id = 283622) 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=283622 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 = 78427 AND W.type_id = 1) OR (W.util_id <> 78427 AND W.type_id = 2)) AND (M.post_util_id = 78427 OR M.dest_util_id = 78427) 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=78427 AND note_visu IN (1,3,4)

44. 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 = 434264 AND W.type_id = 1) OR (W.util_id <> 434264 AND W.type_id = 2)) AND (M.post_util_id = 434264 OR M.dest_util_id = 434264) 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=434264 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 = 509821 AND W.type_id = 1) OR (W.util_id <> 509821 AND W.type_id = 2)) AND (M.post_util_id = 509821 OR M.dest_util_id = 509821) 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=509821 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 = 549879 AND W.type_id = 1) OR (W.util_id <> 549879 AND W.type_id = 2)) AND (M.post_util_id = 549879 OR M.dest_util_id = 549879) 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=549879 AND note_visu IN (1,3,4)

50. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93420'

51. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.786835678816 AND ville_latitude_deg<49.146564321184 AND ville_longitude_deg>2.2593539337662 AND ville_longitude_deg<2.8073060662338 HAVING distance <= 20 ORDER BY distance ASC

52. 0.0144

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.517039197041 AND ville_latitude_deg<49.416360802959 AND ville_longitude_deg>1.8483839280719 AND ville_longitude_deg<3.2182760719281 HAVING distance <= 50 ORDER BY distance ASC

53. 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 (3,4)

54. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (184864,509821,434264,549879,78427,18763,106506,100509,283622,80570,72410,280697,54791,189758)

55. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (184864,509821,434264,549879,78427,18763,106506,100509,283622,80570,72410,280697,54791,189758)

56. 0.0003

    SELECT ssrubr_id, ssrubr_title, ssrubr_slug, ssrubr_photo, cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=88 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

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='motoculteur' OR ssrubr_slug like '%motoculteur%' OR MATCH (ssrubr_slug) AGAINST ('(+motoculteur)')) AND sk.ssrubr_id='3' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

58. 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 = 88 AND ss.ssrubr_id <> 3 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

59. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='3' 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. 0.0001

    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

62. 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 (88) ORDER BY ssrubr_order ASC

63. 0.0013

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

64. 0.0235

    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. 0.0204

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

65 requetes sql en 0.1445