Service etudiant à 95450 Seraincourt

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3. 0

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6. 0.0005

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7. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%etudiant%' OR ssrubr_title like '%etudiant%' OR ssrubr_slug like '%etudiant%') AND cate_id='39' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

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9. 0.0002

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11. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='95450'

12. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((49.1333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.85- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.953435678816 AND ville_latitude_deg<49.313164321184 AND ville_longitude_deg>1.5751043400158 AND ville_longitude_deg<2.1248956599842 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='étudiant'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='39'AND MATCH (wish_title,wish_desc) AGAINST ('+étudiant*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95450%'

15. 0.0001

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16. 0.0001

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17. 0.0001

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18. 0.0001

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19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((49.1333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.85- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.953435678816 AND ville_latitude_deg<49.313164321184 AND ville_longitude_deg>1.5751043400158 AND ville_longitude_deg<2.1248956599842 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0149

    SELECT ville_cp, ROUND((((acos(sin((49.1333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.85- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.683639197041 AND ville_latitude_deg<49.582960802959 AND ville_longitude_deg>1.1627549238713 AND ville_longitude_deg<2.5372450761287 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0446

    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((49.1333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.85- 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 MATCH (wish_desc) AGAINST ('(+étudiant*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95450,95450,95420,95420,95750,95420,95450,95420,95450,95420,95640,95450,95420,95450,60240,60240,60240,95420,95420,95450,95420,60240,95450,95420,95750,95420,95640,95640,95450,78440,95450,60240,95510,95450,78440,95510,78440,60240,95450,60240,95420,95640,95420,95510,95640,60240,95710,78440,95830,60240,78250,95450,95450,60240,95510,95640,78440,78440,95450,60240,60240,95650,95650,95640,95710,95830,78250,60240,60240,60240,95780,60240,60240,78440,95450,95770,95510,60240,78250,78250,78440,60119,95770,95770,27630,95780,95810,95710,27630,78250,78820,60240,78740,27630,78440,95510,60240,60240,27420,60119,27720,78840,78250,95650,95650,60240,78740,95640,95800,78520,60240,78130,78440,95810,95810,60240,27630,78520,95180,60119,60240,95810,95780,95650,60590,95000,27720,27630,78270,60173,27140,95490,95520,60240,27420,95810,27870,60240,78410,60590,78410,95300,60590,95280,60240,60240,27830,78520,78970,78410,60240,27630,95810,78270,27620,78480,78200,95000,78270,95810,60590,78130,78440,60240,60240,27420,95300,27630,60240,60790,78510) AND type_id=1 GROUP BY wish_id

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23. 0.0001

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25. 0.0001

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26. 0.0002

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27. 0.0001

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28. 0.0001

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30. 0.0001

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31. 0.0001

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32. 0.0001

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34. 0.0001

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35. 0.0001

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36. 0.0001

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37. 0.0001

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38. 0.0001

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40. 0.0001

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41. 0.0001

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42. 0.0001

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43. 0.0001

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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 = 213953 AND W.type_id = 1) OR (W.util_id <> 213953 AND W.type_id = 2)) AND (M.post_util_id = 213953 OR M.dest_util_id = 213953) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

45. 0.0001

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46. 0.0001

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47. 0.0001

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48. 0.0001

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49. 0.0001

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50. 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

    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 = 512384 AND W.type_id = 1) OR (W.util_id <> 512384 AND W.type_id = 2)) AND (M.post_util_id = 512384 OR M.dest_util_id = 512384) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

55. 0.0001

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56. 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 = 516929 AND W.type_id = 1) OR (W.util_id <> 516929 AND W.type_id = 2)) AND (M.post_util_id = 516929 OR M.dest_util_id = 516929) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

57. 0.0001

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58. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95450'

59. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((49.1333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.85- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.953435678816 AND ville_latitude_deg<49.313164321184 AND ville_longitude_deg>1.5751043400158 AND ville_longitude_deg<2.1248956599842 HAVING distance <= 20 ORDER BY distance ASC

60. 0.0178

    SELECT ville_cp, ROUND((((acos(sin((49.1333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.85- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.683639197041 AND ville_latitude_deg<49.582960802959 AND ville_longitude_deg>1.1627549238713 AND ville_longitude_deg<2.5372450761287 HAVING distance <= 50 ORDER BY distance ASC

61. 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 (1031,939,1008,941)

62. 0.0002

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63. 0.0001

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64. 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='étudiant' OR ssrubr_slug like '%étudiant%' OR MATCH (ssrubr_slug) AGAINST ('(+étudiant)')) AND sk.ssrubr_id='939' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

65. 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 <> 939 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

66. 0.0001

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67. 0.0001

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

68. 0.0002

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69. 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

70. 0.0009

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

71. 0.0282

    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'

72. 0.0252

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

72 requetes sql en 0.1471