Location sans permis à 92310 Sèvres

1. 0.0002

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='voiture'

2. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=81

3. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='92'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92310' AND ville_nom like '%sevres%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0023

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%voiture%sans%permis%' OR ssrubr_title like '%voiture%sans%permis%' OR ssrubr_slug like '%voiture%sans%permis%') AND cate_id='81' ORDER BY ssrubr_id LIMIT 0,1

6. 0.0001

   SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='92310'

7. 0.002

   SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>1.9268446819952 AND ville_longitude_deg<2.4731553180048 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='voiture sans permis'

9. 0.0006

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='81'AND MATCH (wish_title,wish_desc) AGAINST ('+voiture sans permis*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '92310%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=81

11. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='voiture sans permis' OR ssrubr_slug='voiture-sans-permis' OR (ssrubr_title like '%voiture sans permis%')) AND cate_id='81' ORDER BY ssrubr_id LIMIT 0,1

12. 0.0001

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

13. 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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

14. 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 (81) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='voiture-sans-permis' AND cate_id='81'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92310'

17. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>1.9268446819952 AND ville_longitude_deg<2.4731553180048 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0055

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.367039197041 AND ville_latitude_deg<49.266360802959 AND ville_longitude_deg>1.5171058163378 AND ville_longitude_deg<2.8828941836622 HAVING distance <= 50 ORDER BY distance ASC

19. 0.1013

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='81' AND MATCH (wish_desc) AGAINST ('(+voiture +sans +permis*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92310,92310,92410,92370,78140,92420,92430,92380,92210,78220,92360,92190,92100,92130,78170,92140,78000,78150,92800,78350,92150,92350,78150,92320,92260,92330,92240,78530,92290,78290,78380,78350,92500,91570,92220,92170,78430,78400,92120,92200,91370,92000,91430,78870,91430,78560,91400,78117,92340,92400,94250,78210,94110,92250,78160,92160,78590,94239,94237,94238,94240,94230,94235,94234,94233,94232,94231,94236,78330,92300,78110,91300,78800,78590,78420,78620,78280,78750,94260,75003,75012,75001,75011,75010,75008,75009,75006,75000,75004,75002,75005,75013,75018,75017,75016,75116,75019,75007,75015,75020,75014,78360,92700,91120,92110,78230,78117,92270,91190,94270,92600,78112,94550,94800,78100,91190,95870,91400,91440,78960,94150,78180,94205,94200,93400,78114,91320,91140,78390,78450,91160,78860,78470,78600,94320,78500,92230,91160,91380,91140,78190,94400,91940,78600,95100,78240,78470,91160,91940,91190,94220,78340,94140,94160,93450,92390,91420,78450,78240,78470,93310,94310,94390,91550,95530,93170,93800,94600,91940,78300,78460,95110,94700,93500,93200,93210,93300,93120,94300,91160,95218,95210,91400,78810,93100,78370,94290,91200,91470,95240,95370,93230,93260,95130,78990,91620,95880,91360,93430,91640,94410,95120,91620,78955,78260,91360,91470,78630,94480,78320,94340,78720,78320,94000,78700,95230,91700,95360,91600,91390,93240)

20. 0.0607

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- 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='5' AND cate_id='81' AND MATCH (wish_desc) AGAINST ('(+voiture +sans +permis*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92310,92310,92410,92370,78140,92420,92430,92380,92210,78220,92360,92190,92100,92130,78170,92140,78000,78150,92800,78350,92150,92350,78150,92320,92260,92330,92240,78530,92290,78290,78380,78350,92500,91570,92220,92170,78430,78400,92120,92200,91370,92000,91430,78870,91430,78560,91400,78117,92340,92400,94250,78210,94110,92250,78160,92160,78590,94239,94237,94238,94240,94230,94235,94234,94233,94232,94231,94236,78330,92300,78110,91300,78800,78590,78420,78620,78280,78750,94260,75003,75012,75001,75011,75010,75008,75009,75006,75000,75004,75002,75005,75013,75018,75017,75016,75116,75019,75007,75015,75020,75014,78360,92700,91120,92110,78230,78117,92270,91190,94270,92600,78112,94550,94800,78100,91190,95870,91400,91440,78960,94150,78180,94205,94200,93400,78114,91320,91140,78390,78450,91160,78860,78470,78600,94320,78500,92230,91160,91380,91140,78190,94400,91940,78600,95100,78240,78470,91160,91940,91190,94220,78340,94140,94160,93450,92390,91420,78450,78240,78470,93310,94310,94390,91550,95530,93170,93800,94600,91940,78300,78460,95110,94700,93500,93200,93210,93300,93120,94300,91160,95218,95210,91400,78810,93100,78370,94290,91200,91470,95240,95370,93230,93260,95130,78990,91620,95880,91360,93430,91640,94410,95120,91620,78955,78260,91360,91470,78630,94480,78320,94340,78720,78320,94000,78700,95230,91700,95360,91600,91390,93240) AND type_id=1 GROUP BY wish_id

21. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92310'

22. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>1.9268446819952 AND ville_longitude_deg<2.4731553180048 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0056

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.367039197041 AND ville_latitude_deg<49.266360802959 AND ville_longitude_deg>1.5171058163378 AND ville_longitude_deg<2.8828941836622 HAVING distance <= 50 ORDER BY distance ASC

24. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 185733 AND W.type_id = 1) OR (W.util_id != 185733 AND W.type_id = 2)) AND (`post_util_id` = 185733 OR `dest_util_id` = 185733) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=185733 AND note_visu IN (1,3,4)

26. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 226243 AND W.type_id = 1) OR (W.util_id != 226243 AND W.type_id = 2)) AND (`post_util_id` = 226243 OR `dest_util_id` = 226243) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=226243 AND note_visu IN (1,3,4)

28. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 257215 AND W.type_id = 1) OR (W.util_id != 257215 AND W.type_id = 2)) AND (`post_util_id` = 257215 OR `dest_util_id` = 257215) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=257215 AND note_visu IN (1,3,4)

30. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 269329 AND W.type_id = 1) OR (W.util_id != 269329 AND W.type_id = 2)) AND (`post_util_id` = 269329 OR `dest_util_id` = 269329) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=269329 AND note_visu IN (1,3,4)

32. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 293110 AND W.type_id = 1) OR (W.util_id != 293110 AND W.type_id = 2)) AND (`post_util_id` = 293110 OR `dest_util_id` = 293110) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=293110 AND note_visu IN (1,3,4)

34. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 331582 AND W.type_id = 1) OR (W.util_id != 331582 AND W.type_id = 2)) AND (`post_util_id` = 331582 OR `dest_util_id` = 331582) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=331582 AND note_visu IN (1,3,4)

36. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 398421 AND W.type_id = 1) OR (W.util_id != 398421 AND W.type_id = 2)) AND (`post_util_id` = 398421 OR `dest_util_id` = 398421) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=398421 AND note_visu IN (1,3,4)

38. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 410810 AND W.type_id = 1) OR (W.util_id != 410810 AND W.type_id = 2)) AND (`post_util_id` = 410810 OR `dest_util_id` = 410810) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

39. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=410810 AND note_visu IN (1,3,4)

40. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 432784 AND W.type_id = 1) OR (W.util_id != 432784 AND W.type_id = 2)) AND (`post_util_id` = 432784 OR `dest_util_id` = 432784) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

41. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=432784 AND note_visu IN (1,3,4)

42. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 486380 AND W.type_id = 1) OR (W.util_id != 486380 AND W.type_id = 2)) AND (`post_util_id` = 486380 OR `dest_util_id` = 486380) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

43. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=486380 AND note_visu IN (1,3,4)

44. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 489347 AND W.type_id = 1) OR (W.util_id != 489347 AND W.type_id = 2)) AND (`post_util_id` = 489347 OR `dest_util_id` = 489347) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

45. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=489347 AND note_visu IN (1,3,4)

46. 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=81 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

47. 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='voiture sans permis' OR ssrubr_slug like '%voiture sans permis%' OR MATCH (ssrubr_slug) AGAINST ('(+voiture +sans +permis)')) AND sk.ssrubr_id='1094' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

48. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1094' AND actu_niveau=0 ORDER BY actu_ordre DESC

49. 0.0008

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

50. 0

    SELECT count(*) as nbwish FROM wish

51. 0.049

    SELECT note.*, post.util_prenom as postp, post.util_nom as postn, dest.util_prenom as destp, dest.util_nom as destn, w.wish_id, w.wish_desc, w.fami_id FROM note, util_info dest, util_info post, wish w WHERE note.wish_id=w.wish_id AND note.post_util_id=post.util_id AND note.dest_util_id=dest.util_id AND note_visu IN (1,2,3,4) AND post_util_id<>'7' ORDER BY note_date DESC, note_hour DESC

51 requetes sql en 0.2364