Location sans permis à 59271 Viesly

1. 0.0002

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

2. 0

   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='59'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59271' AND ville_nom like '%viesly%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0019

   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='59271'

7. 0.0015

   SELECT ville_cp, ROUND((((acos(sin((50.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.970135678816 AND ville_latitude_deg<50.329864321184 AND ville_longitude_deg>3.1859735956145 AND ville_longitude_deg<3.7473664043855 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

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

9. 0.0001

   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 '59271%'

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. 0.0001

    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='59271'

17. 0.0015

    SELECT ville_cp, ROUND((((acos(sin((50.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.970135678816 AND ville_latitude_deg<50.329864321184 AND ville_longitude_deg>3.1859735956145 AND ville_longitude_deg<3.7473664043855 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0046

    SELECT ville_cp, ROUND((((acos(sin((50.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.700339197041 AND ville_latitude_deg<50.599660802959 AND ville_longitude_deg>2.7649229378163 AND ville_longitude_deg<4.1684170621837 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0994

    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 (59271,59271,59730,59540,59540,59540,59730,59214,59540,59360,59730,59292,59980,59188,59217,59730,59157,59225,59360,59217,59360,59730,59157,59980,59980,59294,59222,59129,59188,59222,59191,59217,59225,59188,59730,59218,59227,59980,59980,59227,59400,59217,59360,59218,59277,59360,59191,59218,59191,59222,59213,59213,59218,59360,59198,59238,59550,59400,59400,59127,59360,02110,59213,59213,59530,59161,59530,59296,59127,59137,59227,59400,59550,59161,59360,59288,59213,59127,59213,59530,59400,02110,59141,59530,59141,59360,02110,59224,59530,59530,59360,02110,59269,02110,59127,59161,59258,59530,59111,59127,59400,59282,59141,59400,59530,59161,59258,59269,02110,02110,59224,59233,59550,59400,59111,59360,59530,59554,59360,59295,59295,59530,59142,02630,59269,59282,02110,59281,59530,59530,59554,59241,59258,59554,59111,59530,59111,59293,02110,59125,59121,59990,59530,59121,59300,59554,59267,59172,59252,59268,02450,02420,02630,59550,59990,59247)

20. 0.0526

    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((50.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.46667- 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 (59271,59271,59730,59540,59540,59540,59730,59214,59540,59360,59730,59292,59980,59188,59217,59730,59157,59225,59360,59217,59360,59730,59157,59980,59980,59294,59222,59129,59188,59222,59191,59217,59225,59188,59730,59218,59227,59980,59980,59227,59400,59217,59360,59218,59277,59360,59191,59218,59191,59222,59213,59213,59218,59360,59198,59238,59550,59400,59400,59127,59360,02110,59213,59213,59530,59161,59530,59296,59127,59137,59227,59400,59550,59161,59360,59288,59213,59127,59213,59530,59400,02110,59141,59530,59141,59360,02110,59224,59530,59530,59360,02110,59269,02110,59127,59161,59258,59530,59111,59127,59400,59282,59141,59400,59530,59161,59258,59269,02110,02110,59224,59233,59550,59400,59111,59360,59530,59554,59360,59295,59295,59530,59142,02630,59269,59282,02110,59281,59530,59530,59554,59241,59258,59554,59111,59530,59111,59293,02110,59125,59121,59990,59530,59121,59300,59554,59267,59172,59252,59268,02450,02420,02630,59550,59990,59247) 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='59271'

22. 0.0012

    SELECT ville_cp, ROUND((((acos(sin((50.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.970135678816 AND ville_latitude_deg<50.329864321184 AND ville_longitude_deg>3.1859735956145 AND ville_longitude_deg<3.7473664043855 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0045

    SELECT ville_cp, ROUND((((acos(sin((50.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.700339197041 AND ville_latitude_deg<50.599660802959 AND ville_longitude_deg>2.7649229378163 AND ville_longitude_deg<4.1684170621837 HAVING distance <= 50 ORDER BY distance ASC

24. 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 = 74156 AND W.type_id = 1) OR (W.util_id != 74156 AND W.type_id = 2)) AND (`post_util_id` = 74156 OR `dest_util_id` = 74156) 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=74156 AND note_visu IN (1,3,4)

26. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo 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='1094' LIMIT 0,1

27. 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 = 74156 AND W.type_id = 1) OR (W.util_id != 74156 AND W.type_id = 2)) AND (`post_util_id` = 74156 OR `dest_util_id` = 74156) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

28. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 74156

29. 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

30. 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

31. 0.0001

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

32. 0.0008

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

33. 0

    SELECT count(*) as nbwish FROM wish

34. 0.0453

    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

34 requetes sql en 0.216