Service dépannage informatique à 95290 L'isle-adam

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

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='95'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95290' AND ville_nom like '%l%isle%adam%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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 '%depannage%informatique%' OR ssrubr_title like '%depannage%informatique%' OR ssrubr_slug like '%depannage%informatique%') 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='95290'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((49.1167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.936835678816 AND ville_latitude_deg<49.296564321184 AND ville_longitude_deg>1.9585263493281 AND ville_longitude_deg<2.5081336506719 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='informatique; depannage informatique'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='231'AND MATCH (wish_title,wish_desc) AGAINST ('+informatique; depannage informatique*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95290%'

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='informatique; depannage informatique' OR ssrubr_slug='informatique;-depannage-informatique' OR (ssrubr_title like '%informatique; depannage informatique%')) 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='depannage-informatique' AND cate_id='231'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95290'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((49.1167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.936835678816 AND ville_latitude_deg<49.296564321184 AND ville_longitude_deg>1.9585263493281 AND ville_longitude_deg<2.5081336506719 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0156

    SELECT ville_cp, ROUND((((acos(sin((49.1167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.667039197041 AND ville_latitude_deg<49.566360802959 AND ville_longitude_deg>1.5463149491355 AND ville_longitude_deg<2.9203450508645 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0367

    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((49.1167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- 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 MATCH (wish_desc) AGAINST ('(+informatique; +depannage +informatique*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95290,95290,95620,95660,95260,95760,95260,95690,95340,95430,95630,95590,95590,95590,95840,60230,95340,95540,95690,95690,95690,95560,95430,95340,95560,95300,95270,95840,95740,95560,95560,95820,60530,95270,95810,95270,95570,60540,60540,95550,95150,60530,95270,95300,60820,95810,95570,95570,60530,60540,95320,95300,95570,95310,95390,95250,60540,95270,95680,60530,95330,95270,60110,95810,95480,95810,95300,60110,60530,95810,95650,95130,60530,60540,95270,95720,95520,60460,95460,95810,95600,60530,95270,95580,95580,95220,95350,95810,95720,95270,95610,60460,95130,60110,95160,60260,95120,95240,60270,95640,95370,95000,95850,60570,95650,95440,95230,95830,95270,95270,95640,95850,95350,60119,95720,60340,95000,95170,60730,95110,95190,60175,95200,95400,95830,95218,95210,95530,60570,95270,95410,60730,95490,60340,60580,95650,95650,95190,95650,60110,78700,95880,78780,95640,60119,95470,95720,95280,60240,95640,95450,95100,60730,95360,60730,78500,95640,95380,60660,78570,60119,60740,60660,60660,93430,93380,93800,60500,95800,60173,60250,95450,78600,95670,60660,60660,95400) 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 = 56804 AND W.type_id = 1) OR (W.util_id <> 56804 AND W.type_id = 2)) AND (M.post_util_id = 56804 OR M.dest_util_id = 56804) 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=56804 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 = 59022 AND W.type_id = 1) OR (W.util_id <> 59022 AND W.type_id = 2)) AND (M.post_util_id = 59022 OR M.dest_util_id = 59022) 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=59022 AND note_visu IN (1,3,4)

26. 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 = 116920 AND W.type_id = 1) OR (W.util_id <> 116920 AND W.type_id = 2)) AND (M.post_util_id = 116920 OR M.dest_util_id = 116920) 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=116920 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 = 198022 AND W.type_id = 1) OR (W.util_id <> 198022 AND W.type_id = 2)) AND (M.post_util_id = 198022 OR M.dest_util_id = 198022) 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=198022 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 = 264465 AND W.type_id = 1) OR (W.util_id <> 264465 AND W.type_id = 2)) AND (M.post_util_id = 264465 OR M.dest_util_id = 264465) 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=264465 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 = 324296 AND W.type_id = 1) OR (W.util_id <> 324296 AND W.type_id = 2)) AND (M.post_util_id = 324296 OR M.dest_util_id = 324296) 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=324296 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 = 344700 AND W.type_id = 1) OR (W.util_id <> 344700 AND W.type_id = 2)) AND (M.post_util_id = 344700 OR M.dest_util_id = 344700) 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=344700 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 = 358934 AND W.type_id = 1) OR (W.util_id <> 358934 AND W.type_id = 2)) AND (M.post_util_id = 358934 OR M.dest_util_id = 358934) 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=358934 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 = 373781 AND W.type_id = 1) OR (W.util_id <> 373781 AND W.type_id = 2)) AND (M.post_util_id = 373781 OR M.dest_util_id = 373781) 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=373781 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 = 377217 AND W.type_id = 1) OR (W.util_id <> 377217 AND W.type_id = 2)) AND (M.post_util_id = 377217 OR M.dest_util_id = 377217) 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=377217 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 = 396263 AND W.type_id = 1) OR (W.util_id <> 396263 AND W.type_id = 2)) AND (M.post_util_id = 396263 OR M.dest_util_id = 396263) 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=396263 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 = 411733 AND W.type_id = 1) OR (W.util_id <> 411733 AND W.type_id = 2)) AND (M.post_util_id = 411733 OR M.dest_util_id = 411733) 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=411733 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 = 397234 AND W.type_id = 1) OR (W.util_id <> 397234 AND W.type_id = 2)) AND (M.post_util_id = 397234 OR M.dest_util_id = 397234) 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=397234 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 = 541219 AND W.type_id = 1) OR (W.util_id <> 541219 AND W.type_id = 2)) AND (M.post_util_id = 541219 OR M.dest_util_id = 541219) 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=541219 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='95290'

51. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((49.1167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.936835678816 AND ville_latitude_deg<49.296564321184 AND ville_longitude_deg>1.9585263493281 AND ville_longitude_deg<2.5081336506719 HAVING distance <= 20 ORDER BY distance ASC

52. 0.0145

    SELECT ville_cp, ROUND((((acos(sin((49.1167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.667039197041 AND ville_latitude_deg<49.566360802959 AND ville_longitude_deg>1.5463149491355 AND ville_longitude_deg<2.9203450508645 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 (975)

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 (377217,397234,116920,396263,324296,59022,344700,541219,56804,411733,198022,358934,373781,264465)

55. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (377217,397234,116920,396263,324296,59022,344700,541219,56804,411733,198022,358934,373781,264465)

56. 0.0002

    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=231 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

57. 0.0001

    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='informatique; depannage informatique' OR ssrubr_slug like '%informatique; depannage informatique%' OR MATCH (ssrubr_slug) AGAINST ('(+informatique; +depannage +informatique)')) AND sk.ssrubr_id='975' 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 <> 975 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

59. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='975' 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. 0.0002

    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 (231) ORDER BY ssrubr_order ASC

63. 0.0016

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

64. 0.0267

    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. 0.0198

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

65 requetes sql en 0.1281