Location taille haie à 38550 Saint-maurice-l'exil

1. 0.0001

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='materiel-jardinage'

2. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=88

3. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='38'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='38550' AND ville_nom like '%saint%maurice%l%exil%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%taille%haie%' OR ssrubr_title like '%taille%haie%' OR ssrubr_slug like '%taille%haie%') AND cate_id='88' 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='38550'

7. 0.0013

   SELECT ville_cp, ROUND((((acos(sin((45.4167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.236835678816 AND ville_latitude_deg<45.596564321184 AND ville_longitude_deg>4.5437627003305 AND ville_longitude_deg<5.0562372996695 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='taille haie'

9. 0.0003

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='88'AND MATCH (wish_title,wish_desc) AGAINST ('+taille haie*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '38550%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=88

11. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='taille haie' OR ssrubr_slug='taille-haie' OR (ssrubr_title like '%taille haie%')) AND cate_id='88' 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 (88) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='taille-haie' AND cate_id='88'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='38550'

17. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((45.4167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.236835678816 AND ville_latitude_deg<45.596564321184 AND ville_longitude_deg>4.5437627003305 AND ville_longitude_deg<5.0562372996695 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0035

    SELECT ville_cp, ROUND((((acos(sin((45.4167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>44.967039197041 AND ville_latitude_deg<45.866360802959 AND ville_longitude_deg>4.1594012268926 AND ville_longitude_deg<5.4405987731074 HAVING distance <= 50 ORDER BY distance ASC

19. 0.086

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='88' AND MATCH (wish_desc) AGAINST ('(+taille +haie*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (38550,38550,38370,38550,38370,38550,38370,38550,38370,69420,42410,38150,42410,42410,38550,38121,38150,38121,38150,38150,42520,38138,42520,69420,38150,69420,07340,38150,42410,42520,42410,42520,42410,38150,38150,69420,07340,42520,38150,38150,38122,38550,42520,69560,07340,42410,42520,38122,07340,38150,69560,38200,38270,07340,38200,07340,69420,38200,07340,38150,38122,42800,07340,69560,26210,42520,38270,26140,38270,07340,07430,38780,38122,07340,38780,07340,69700,38270,69700,69420,38670,42740,38780,07430,38200,42740,07430,69700,42220,42800,42800,42220,42320,38270,26140,42740,07340,07340,38270,69700,26210,42800,38200,26210,07430,42800,38200,07430,42220,07100,38270)

20. 0.0507

    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((45.4167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.8- 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='88' AND MATCH (wish_desc) AGAINST ('(+taille +haie*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (38550,38550,38370,38550,38370,38550,38370,38550,38370,69420,42410,38150,42410,42410,38550,38121,38150,38121,38150,38150,42520,38138,42520,69420,38150,69420,07340,38150,42410,42520,42410,42520,42410,38150,38150,69420,07340,42520,38150,38150,38122,38550,42520,69560,07340,42410,42520,38122,07340,38150,69560,38200,38270,07340,38200,07340,69420,38200,07340,38150,38122,42800,07340,69560,26210,42520,38270,26140,38270,07340,07430,38780,38122,07340,38780,07340,69700,38270,69700,69420,38670,42740,38780,07430,38200,42740,07430,69700,42220,42800,42800,42220,42320,38270,26140,42740,07340,07340,38270,69700,26210,42800,38200,26210,07430,42800,38200,07430,42220,07100,38270) 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='38550'

22. 0.0011

    SELECT ville_cp, ROUND((((acos(sin((45.4167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.236835678816 AND ville_latitude_deg<45.596564321184 AND ville_longitude_deg>4.5437627003305 AND ville_longitude_deg<5.0562372996695 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0035

    SELECT ville_cp, ROUND((((acos(sin((45.4167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>44.967039197041 AND ville_latitude_deg<45.866360802959 AND ville_longitude_deg>4.1594012268926 AND ville_longitude_deg<5.4405987731074 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 = 86835 AND W.type_id = 1) OR (W.util_id != 86835 AND W.type_id = 2)) AND (`post_util_id` = 86835 OR `dest_util_id` = 86835) 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=86835 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 = 7203 AND W.type_id = 1) OR (W.util_id != 7203 AND W.type_id = 2)) AND (`post_util_id` = 7203 OR `dest_util_id` = 7203) 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=7203 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 = 405236 AND W.type_id = 1) OR (W.util_id != 405236 AND W.type_id = 2)) AND (`post_util_id` = 405236 OR `dest_util_id` = 405236) 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=405236 AND note_visu IN (1,3,4)

30. 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='14' LIMIT 0,1

31. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 405236

32. 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='14' LIMIT 0,1

33. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 7203

34. 0

    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='14' LIMIT 0,1

35. 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 = 86835 AND W.type_id = 1) OR (W.util_id != 86835 AND W.type_id = 2)) AND (`post_util_id` = 86835 OR `dest_util_id` = 86835) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

36. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 86835

37. 0.0003

    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=88 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

38. 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='taille haie' OR ssrubr_slug like '%taille haie%' OR MATCH (ssrubr_slug) AGAINST ('(+taille +haie)')) AND sk.ssrubr_id='14' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='14' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0.0009

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

41. 0

    SELECT count(*) as nbwish FROM wish

42. 0.0477

    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

42 requetes sql en 0.1997