Service espace vert à 78170 La celle-saint-cloud

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='jardinage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=38

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='78'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78170' AND ville_nom like '%la%celle%saint%cloud%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0006

   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 '%entretien%espace%vert%' OR ssrubr_title like '%entretien%espace%vert%' OR ssrubr_slug like '%entretien%espace%vert%') AND cate_id='38' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0003

    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='78170'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>1.8766630625247 AND ville_longitude_deg<2.4233369374753 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='entretien espace vert'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='38'AND MATCH (wish_title,wish_desc) AGAINST ('+entretien espace vert*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '78170%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=38

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='entretien espace vert' OR ssrubr_slug='entretien-espace-vert' OR (ssrubr_title like '%entretien espace vert%')) AND cate_id='38' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='entretien-espace-vert' AND cate_id='38'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78170'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>1.8766630625247 AND ville_longitude_deg<2.4233369374753 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0076

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.400339197041 AND ville_latitude_deg<49.299660802959 AND ville_longitude_deg>1.4666517637462 AND ville_longitude_deg<2.8333482362538 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0617

    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((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.15- 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='38' AND MATCH (wish_desc) AGAINST ('(+entretien +espace +vert*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (78170,78170,78380,78290,92380,92420,92430,78430,78150,78150,78400,92410,78560,78870,92210,92500,92310,78160,78220,78000,78140,78110,78590,78750,92150,92800,78620,78230,92000,92370,78112,78100,78360,78590,92100,78420,92190,92360,78330,78210,78800,92400,92250,92200,92130,78350,78530,78350,78860,78600,78450,78240,92140,92700,95870,78280,78600,92170,78240,92300,92320,78390,92270,92350,78117,78500,92240,78300,92600,91570,78450,92260,92330,92110,92220,78180,92290,78340,92120,91400,95530,78190,78960,95100,91430,78117,78810,91430,94250,78955,91370,75004,75000,75116,78630,75018,75006,75019,75002,75005,75003,75017,75016,75015,75010,75009,75008,75020,75012,75011,75007,75001,75013,75014,78260,78114,92230,93400,94110,92340,91190,95110,78470,95370,91190,78370,78700,95240,94238,94232,94239,94233,94231,94237,94236,94235,94234,94230,94240,78670,78670,92160,78810,78570,95130,93800,95218,95210,78470,91300,78121,94270,92390,93450,78990,94260,91120,91440,95220,94800,91400,78850,78570,95120,94550,78470,94200,94205,95130,78780,95880,78540,93210,93200,78460,91140,78630,94150,78640,78320,95230,78510,93430,95480,91940,91190,93120,93300,78580,93310,78640,91320,78320,91940,91160,95610,95250,93500,78480,95600,94320,78310,95000,91140,95360,94160,93170,94400,78760,94220,78640,95320,91470,95580,95580,91160,91380,78720,95170) AND type_id=1 GROUP BY wish_id

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23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=24472 AND note_visu IN (1,3,4)

24. 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 = 25472 AND W.type_id = 1) OR (W.util_id <> 25472 AND W.type_id = 2)) AND (M.post_util_id = 25472 OR M.dest_util_id = 25472) 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=25472 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 = 25213 AND W.type_id = 1) OR (W.util_id <> 25213 AND W.type_id = 2)) AND (M.post_util_id = 25213 OR M.dest_util_id = 25213) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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28. 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 = 38471 AND W.type_id = 1) OR (W.util_id <> 38471 AND W.type_id = 2)) AND (M.post_util_id = 38471 OR M.dest_util_id = 38471) 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=38471 AND note_visu IN (1,3,4)

30. 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 = 40993 AND W.type_id = 1) OR (W.util_id <> 40993 AND W.type_id = 2)) AND (M.post_util_id = 40993 OR M.dest_util_id = 40993) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

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32. 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 = 53639 AND W.type_id = 1) OR (W.util_id <> 53639 AND W.type_id = 2)) AND (M.post_util_id = 53639 OR M.dest_util_id = 53639) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

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34. 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 = 74912 AND W.type_id = 1) OR (W.util_id <> 74912 AND W.type_id = 2)) AND (M.post_util_id = 74912 OR M.dest_util_id = 74912) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

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36. 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 = 75492 AND W.type_id = 1) OR (W.util_id <> 75492 AND W.type_id = 2)) AND (M.post_util_id = 75492 OR M.dest_util_id = 75492) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

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38. 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 = 78641 AND W.type_id = 1) OR (W.util_id <> 78641 AND W.type_id = 2)) AND (M.post_util_id = 78641 OR M.dest_util_id = 78641) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

39. 0.0001

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40. 0.0002

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41. 0.0001

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42. 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 = 88692 AND W.type_id = 1) OR (W.util_id <> 88692 AND W.type_id = 2)) AND (M.post_util_id = 88692 OR M.dest_util_id = 88692) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

43. 0.0001

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44. 0.0002

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46. 0.0003

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48. 0.0002

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51. 0.0001

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52. 0.0002

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53. 0.0001

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54. 0.0002

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55. 0.0001

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56. 0.0002

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58. 0.0002

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59. 0.0001

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60. 0.0002

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61. 0.0001

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62. 0.0002

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63. 0.0001

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64. 0.0002

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    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=293308 AND note_visu IN (1,3,4)

68. 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 = 286966 AND W.type_id = 1) OR (W.util_id <> 286966 AND W.type_id = 2)) AND (M.post_util_id = 286966 OR M.dest_util_id = 286966) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

69. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=286966 AND note_visu IN (1,3,4)

70. 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 = 296119 AND W.type_id = 1) OR (W.util_id <> 296119 AND W.type_id = 2)) AND (M.post_util_id = 296119 OR M.dest_util_id = 296119) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

71. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=296119 AND note_visu IN (1,3,4)

72. 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 = 300423 AND W.type_id = 1) OR (W.util_id <> 300423 AND W.type_id = 2)) AND (M.post_util_id = 300423 OR M.dest_util_id = 300423) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

73. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=300423 AND note_visu IN (1,3,4)

74. 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 = 303837 AND W.type_id = 1) OR (W.util_id <> 303837 AND W.type_id = 2)) AND (M.post_util_id = 303837 OR M.dest_util_id = 303837) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

75. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=303837 AND note_visu IN (1,3,4)

76. 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 = 324098 AND W.type_id = 1) OR (W.util_id <> 324098 AND W.type_id = 2)) AND (M.post_util_id = 324098 OR M.dest_util_id = 324098) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

77. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=324098 AND note_visu IN (1,3,4)

78. 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 = 333522 AND W.type_id = 1) OR (W.util_id <> 333522 AND W.type_id = 2)) AND (M.post_util_id = 333522 OR M.dest_util_id = 333522) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

79. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=333522 AND note_visu IN (1,3,4)

80. 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 = 398325 AND W.type_id = 1) OR (W.util_id <> 398325 AND W.type_id = 2)) AND (M.post_util_id = 398325 OR M.dest_util_id = 398325) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

81. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=398325 AND note_visu IN (1,3,4)

82. 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 = 401773 AND W.type_id = 1) OR (W.util_id <> 401773 AND W.type_id = 2)) AND (M.post_util_id = 401773 OR M.dest_util_id = 401773) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

83. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=401773 AND note_visu IN (1,3,4)

84. 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 = 385469 AND W.type_id = 1) OR (W.util_id <> 385469 AND W.type_id = 2)) AND (M.post_util_id = 385469 OR M.dest_util_id = 385469) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

85. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=385469 AND note_visu IN (1,3,4)

86. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78170'

87. 0.0027

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>1.8766630625247 AND ville_longitude_deg<2.4233369374753 HAVING distance <= 20 ORDER BY distance ASC

88. 0.0094

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.400339197041 AND ville_latitude_deg<49.299660802959 AND ville_longitude_deg>1.4666517637462 AND ville_longitude_deg<2.8333482362538 HAVING distance <= 50 ORDER BY distance ASC

89. 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 (532)

90. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (401773,385469,108728,25472,21593,190972,78641,282950,296119,333522,40993,74912,398325,303837,272854,173298,38471,13159,131971,300423,87066,24472,286966,293308,53639,88692,92906,126952,75492,25213,324098,197790)

91. 0.0002

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (401773,385469,108728,25472,21593,190972,78641,282950,296119,333522,40993,74912,398325,303837,272854,173298,38471,13159,131971,300423,87066,24472,286966,293308,53639,88692,92906,126952,75492,25213,324098,197790)

92. 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=38 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

93. 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='entretien espace vert' OR ssrubr_slug like '%entretien espace vert%' OR MATCH (ssrubr_slug) AGAINST ('(+entretien +espace +vert)')) AND sk.ssrubr_id='532' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

94. 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 = 38 AND ss.ssrubr_id <> 532 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

95. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='532' AND actu_niveau=0 ORDER BY actu_ordre DESC

96. 0.0001

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

97. 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

98. 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 (38) ORDER BY ssrubr_order ASC

99. 0.0012

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

100. 0.0269

     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'

101. 0.0268

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

101 requetes sql en 0.1553