Service montage meubles à 59239 La neuville

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   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='bricolage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=50

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='59239' AND ville_nom like '%la%neuville%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%montage%de%meubles%' OR ssrubr_title like '%montage%de%meubles%' OR ssrubr_slug like '%montage%de%meubles%') AND cate_id='50' 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='59239'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((50.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.320135678816 AND ville_latitude_deg<50.679864321184 AND ville_longitude_deg>2.7672287764772 AND ville_longitude_deg<3.3327712235228 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='montage meuble; montage de meubles; lit cabane'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='50' AND ssrubr_id='600' AND wish_visu IN (1,6,10) AND wish_cp like '59239%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=50

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='montage meuble; montage de meubles; lit cabane' OR ssrubr_slug='montage-meuble;-montage-de-meubles;-lit-cabane' OR (ssrubr_title like '%montage meuble; montage de meubles; lit cabane%')) AND cate_id='50' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='montage-de-meubles' AND cate_id='50'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59239'

19. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((50.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.320135678816 AND ville_latitude_deg<50.679864321184 AND ville_longitude_deg>2.7672287764772 AND ville_longitude_deg<3.3327712235228 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0139

    SELECT ville_cp, ROUND((((acos(sin((50.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.050339197041 AND ville_latitude_deg<50.949660802959 AND ville_longitude_deg>2.3430658452443 AND ville_longitude_deg<3.7569341547557 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0075

    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((50.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.05- 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='50' AND ssrubr_id='600' AND wish_visu IN (1,6,10) AND wish_cp IN (59239,59239,59239,59551,59261,59551,59133,62820,59246,59710,59710,59133,59710,59113,59162,59147,62590,59283,62220,59112,59310,59710,59147,59235,59175,62790,59175,62141,59283,59251,59273,59147,59263,59242,62119,59112,59242,59139,59950,59155,59139,59286,62970,59185,62710,62880,59810,62950,59310,59272,59194,59273,62640,59128,59790,59320,62410,59221,59830,59184,62440,59310,59136,62740,59320,59242,62880,62880,59262,62110,59148,59553,59553,62138,59211,59194,59120,59830,59496,62880,59310,59320,59260,59119,59830,62420,59830,59274,59320,59310,62410,59134,59500,59000,59350,59160,59777,59800,59134,62221,62218,59134,59553,59152,59152,59320,59320,59167,62138,62410,59450,62490,59496,62430,59320,59830,59134,59870,59320,62320,62320,59152,59830,59370,59552,59320,62490,59310,59310,62410,59552,59130,59110,62320,59780,59480,59830,62300,62680,59870,59187,59310,59152,59134,59146,62320,59510,59160,59182,59310,62138,59350,59780,59249,7611,59480,59840,59287,62112,59169,59287,59182,59700,62117,59840,59249,62300,62210,62580,62138,7610,62490,62580,62138,59870,59840,59520,62750,59780,62580,7502,59510,59176,59290,59170,59169) AND type_id=1 GROUP BY wish_id

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    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (85588,103557,117219,18465,144027,147675,167631,202456,214079,94340,283400,189735,262817,395934,391355,410028,163963,379159,450695,464650,467191,481151,107459,505224)

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 = 85588 AND W.type_id = 1) OR (W.util_id <> 85588 AND W.type_id = 2)) AND (M.post_util_id = 85588 OR M.dest_util_id = 85588) 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=85588 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 = 103557 AND W.type_id = 1) OR (W.util_id <> 103557 AND W.type_id = 2)) AND (M.post_util_id = 103557 OR M.dest_util_id = 103557) 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=103557 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 = 117219 AND W.type_id = 1) OR (W.util_id <> 117219 AND W.type_id = 2)) AND (M.post_util_id = 117219 OR M.dest_util_id = 117219) 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=117219 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 = 18465 AND W.type_id = 1) OR (W.util_id <> 18465 AND W.type_id = 2)) AND (M.post_util_id = 18465 OR M.dest_util_id = 18465) 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=18465 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 = 144027 AND W.type_id = 1) OR (W.util_id <> 144027 AND W.type_id = 2)) AND (M.post_util_id = 144027 OR M.dest_util_id = 144027) 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=144027 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 = 147675 AND W.type_id = 1) OR (W.util_id <> 147675 AND W.type_id = 2)) AND (M.post_util_id = 147675 OR M.dest_util_id = 147675) 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=147675 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 = 167631 AND W.type_id = 1) OR (W.util_id <> 167631 AND W.type_id = 2)) AND (M.post_util_id = 167631 OR M.dest_util_id = 167631) 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=167631 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 = 202456 AND W.type_id = 1) OR (W.util_id <> 202456 AND W.type_id = 2)) AND (M.post_util_id = 202456 OR M.dest_util_id = 202456) 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=202456 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 = 214079 AND W.type_id = 1) OR (W.util_id <> 214079 AND W.type_id = 2)) AND (M.post_util_id = 214079 OR M.dest_util_id = 214079) 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=214079 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 = 94340 AND W.type_id = 1) OR (W.util_id <> 94340 AND W.type_id = 2)) AND (M.post_util_id = 94340 OR M.dest_util_id = 94340) 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=94340 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 = 283400 AND W.type_id = 1) OR (W.util_id <> 283400 AND W.type_id = 2)) AND (M.post_util_id = 283400 OR M.dest_util_id = 283400) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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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 = 189735 AND W.type_id = 1) OR (W.util_id <> 189735 AND W.type_id = 2)) AND (M.post_util_id = 189735 OR M.dest_util_id = 189735) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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48. 0.0001

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49. 0.0001

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51. 0.0001

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52. 0.0001

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53. 0.0001

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54. 0.0001

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55. 0.0001

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57. 0.0001

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58. 0.0001

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59. 0.0001

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60. 0.0001

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61. 0.0001

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63. 0.0001

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67. 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 = 107459 AND W.type_id = 1) OR (W.util_id <> 107459 AND W.type_id = 2)) AND (M.post_util_id = 107459 OR M.dest_util_id = 107459) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

68. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=107459 AND note_visu IN (1,3,4)

69. 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 = 505224 AND W.type_id = 1) OR (W.util_id <> 505224 AND W.type_id = 2)) AND (M.post_util_id = 505224 OR M.dest_util_id = 505224) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

70. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=505224 AND note_visu IN (1,3,4)

71. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59239'

72. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.320135678816 AND ville_latitude_deg<50.679864321184 AND ville_longitude_deg>2.7672287764772 AND ville_longitude_deg<3.3327712235228 HAVING distance <= 20 ORDER BY distance ASC

73. 0.0139

    SELECT ville_cp, ROUND((((acos(sin((50.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.050339197041 AND ville_latitude_deg<50.949660802959 AND ville_longitude_deg>2.3430658452443 AND ville_longitude_deg<3.7569341547557 HAVING distance <= 50 ORDER BY distance ASC

74. 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 (600)

75. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (395934,481151,144027,262817,410028,147675,391355,505224,117219,163963,103557,202456,18465,214079,107459,379159,167631,450695,283400,189735,94340,85588,467191,464650)

76. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (395934,481151,144027,262817,410028,147675,391355,505224,117219,163963,103557,202456,18465,214079,107459,379159,167631,450695,283400,189735,94340,85588,467191,464650)

77. 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='montage meuble; montage de meubles; lit cabane' OR ssrubr_slug like '%montage meuble; montage de meubles; lit cabane%' OR MATCH (ssrubr_slug) AGAINST ('(+montage +meuble; +montage +de +meubles; +lit +cabane)')) AND sk.ssrubr_id='600' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

78. 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 = 3 AND ss.cate_id = 50 AND ss.ssrubr_id <> 600 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

79. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='600' AND actu_niveau=0 ORDER BY actu_ordre DESC

80. 0.0001

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

81. 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

82. 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 (50) ORDER BY ssrubr_order ASC

83. 0.001

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

84. 0.0241

    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'

85. 0.0178

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

85 requetes sql en 0.0943