Service babysitter à 77870 Vulaines-sur-seine

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='babysitting'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=39

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('77' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='77870' AND ville_nom like '%vulaines%sur%seine%' 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 '%babysitter%' OR ssrubr_title like '%babysitter%' OR ssrubr_slug like '%babysitter%') AND cate_id='39' 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='77870'

12. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((48.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.76667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.253435678816 AND ville_latitude_deg<48.613164321184 AND ville_longitude_deg>2.4955819440717 AND ville_longitude_deg<3.0377580559283 HAVING distance <= 20 ORDER BY distance ASC

13. 0

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='babysitter; babysitting; baby sitting; baby-sitter'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='39' AND ssrubr_id='1031' AND wish_visu IN (1,6,10) AND wish_cp like '77870%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=39

16. 0.0001

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='babysitter; babysitting; baby sitting; baby-sitter' OR ssrubr_slug='babysitter;-babysitting;-baby-sitting;-baby-sitter' OR (ssrubr_title like '%babysitter; babysitting; baby sitting; baby-sitter%')) AND cate_id='39' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='babysitter' AND cate_id='39'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77870'

19. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((48.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.76667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.253435678816 AND ville_latitude_deg<48.613164321184 AND ville_longitude_deg>2.4955819440717 AND ville_longitude_deg<3.0377580559283 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0049

    SELECT ville_cp, ROUND((((acos(sin((48.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.76667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.983639197041 AND ville_latitude_deg<48.882960802959 AND ville_longitude_deg>2.088944016095 AND ville_longitude_deg<3.444395983905 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0063

    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((48.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.76667- 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='39' AND ssrubr_id='1031' AND wish_visu IN (1,6,10) AND wish_cp IN (77870,77870,77850,77210,77920,77133,77810,77430,77210,77133,77590,77590,77300,77670,77590,77830,77670,77250,77820,77250,77830,77820,77250,77000,77250,77000,77250,77115,77130,77820,77690,77780,77630,77250,77690,77950,77130,77000,77000,77190,77190,77760,77130,77880,77950,77930,77830,77350,77130,77630,77350,77130,77115,77630,77720,77760,77250,77140,77720,77950,77930,77148,77130,77720,77930,77350,77720,77950,77940,77760,77140,77390,77710,77720,77930,77940,77720,77950,77310,77370,77760,77940,77930,77154,77130,77130,77950,77310,77240,77148,77390,77140,77370,77760,77930,77390,77140,77240,77140,77310,77710) 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 (52393,57957,67365,107961,155772,208478,226317,266687,285128,288939,353156,399909,469069,351597,164968)

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 = 52393 AND W.type_id = 1) OR (W.util_id <> 52393 AND W.type_id = 2)) AND (M.post_util_id = 52393 OR M.dest_util_id = 52393) 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=52393 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 = 57957 AND W.type_id = 1) OR (W.util_id <> 57957 AND W.type_id = 2)) AND (M.post_util_id = 57957 OR M.dest_util_id = 57957) 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=57957 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 = 67365 AND W.type_id = 1) OR (W.util_id <> 67365 AND W.type_id = 2)) AND (M.post_util_id = 67365 OR M.dest_util_id = 67365) 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=67365 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 = 107961 AND W.type_id = 1) OR (W.util_id <> 107961 AND W.type_id = 2)) AND (M.post_util_id = 107961 OR M.dest_util_id = 107961) 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=107961 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 = 155772 AND W.type_id = 1) OR (W.util_id <> 155772 AND W.type_id = 2)) AND (M.post_util_id = 155772 OR M.dest_util_id = 155772) 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=155772 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 = 208478 AND W.type_id = 1) OR (W.util_id <> 208478 AND W.type_id = 2)) AND (M.post_util_id = 208478 OR M.dest_util_id = 208478) 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=208478 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 = 226317 AND W.type_id = 1) OR (W.util_id <> 226317 AND W.type_id = 2)) AND (M.post_util_id = 226317 OR M.dest_util_id = 226317) 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=226317 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 = 266687 AND W.type_id = 1) OR (W.util_id <> 266687 AND W.type_id = 2)) AND (M.post_util_id = 266687 OR M.dest_util_id = 266687) 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=266687 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 = 285128 AND W.type_id = 1) OR (W.util_id <> 285128 AND W.type_id = 2)) AND (M.post_util_id = 285128 OR M.dest_util_id = 285128) 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=285128 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 = 288939 AND W.type_id = 1) OR (W.util_id <> 288939 AND W.type_id = 2)) AND (M.post_util_id = 288939 OR M.dest_util_id = 288939) 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=288939 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 = 353156 AND W.type_id = 1) OR (W.util_id <> 353156 AND W.type_id = 2)) AND (M.post_util_id = 353156 OR M.dest_util_id = 353156) 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=353156 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 = 399909 AND W.type_id = 1) OR (W.util_id <> 399909 AND W.type_id = 2)) AND (M.post_util_id = 399909 OR M.dest_util_id = 399909) 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=399909 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 = 469069 AND W.type_id = 1) OR (W.util_id <> 469069 AND W.type_id = 2)) AND (M.post_util_id = 469069 OR M.dest_util_id = 469069) 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=469069 AND note_visu IN (1,3,4)

49. 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 = 351597 AND W.type_id = 1) OR (W.util_id <> 351597 AND W.type_id = 2)) AND (M.post_util_id = 351597 OR M.dest_util_id = 351597) 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=351597 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 = 164968 AND W.type_id = 1) OR (W.util_id <> 164968 AND W.type_id = 2)) AND (M.post_util_id = 164968 OR M.dest_util_id = 164968) 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=164968 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='77870'

54. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((48.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.76667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.253435678816 AND ville_latitude_deg<48.613164321184 AND ville_longitude_deg>2.4955819440717 AND ville_longitude_deg<3.0377580559283 HAVING distance <= 20 ORDER BY distance ASC

55. 0.0048

    SELECT ville_cp, ROUND((((acos(sin((48.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.76667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.983639197041 AND ville_latitude_deg<48.882960802959 AND ville_longitude_deg>2.088944016095 AND ville_longitude_deg<3.444395983905 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 (1031)

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 (57957,226317,351597,353156,107961,208478,67365,266687,288939,164968,155772,52393,285128,469069,399909)

58. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (57957,226317,351597,353156,107961,208478,67365,266687,288939,164968,155772,52393,285128,469069,399909)

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='babysitter; babysitting; baby sitting; baby-sitter' OR ssrubr_slug like '%babysitter; babysitting; baby sitting; baby-sitter%' OR MATCH (ssrubr_slug) AGAINST ('(+babysitter; +babysitting; +baby +sitting; +baby-sitter)')) AND sk.ssrubr_id='1031' 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 = 39 AND ss.ssrubr_id <> 1031 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

61. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1031' 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. 0.0001

    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 (39) ORDER BY ssrubr_order ASC

65. 0.0011

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

66. 0.0236

    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. 0.0166

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

67 requetes sql en 0.0682