Location vélo à 74540 Cusy

1. 0.0001

   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='5' AND cate_title_slug='materiel-sportif'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=95

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('74' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='74540' AND ville_nom like '%cusy%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0005

   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. 0.0015

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%velos%' OR ssrubr_title like '%velos%' OR ssrubr_slug like '%velos%') AND cate_id='95' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0002

    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='74540'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((45.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.603435678816 AND ville_latitude_deg<45.963164321184 AND ville_longitude_deg>5.7920830019947 AND ville_longitude_deg<6.3079169980053 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='velos; velo; vélo; bicycle; vtt; vtc; velo; vélo; '

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='95' AND ssrubr_id='788' AND wish_visu IN (1,6,10) AND wish_cp like '74540%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=95

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='velos; velo; vélo; bicycle; vtt; vtc; velo; vélo; ' OR ssrubr_slug='velos;-velo;-vélo;-bicycle;-vtt;-vtc;-velo;-vélo;-' OR (ssrubr_title like '%velos; velo; vélo; bicycle; vtt; vtc; velo; vélo; %')) AND cate_id='95' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='velos' AND cate_id='95'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='74540'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((45.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.603435678816 AND ville_latitude_deg<45.963164321184 AND ville_longitude_deg>5.7920830019947 AND ville_longitude_deg<6.3079169980053 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0068

    SELECT ville_cp, ROUND((((acos(sin((45.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.333639197041 AND ville_latitude_deg<46.232960802959 AND ville_longitude_deg>5.4052019448425 AND ville_longitude_deg<6.6947980551575 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0061

    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((45.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.05- 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='95' AND ssrubr_id='788' AND wish_visu IN (1,6,10) AND wish_cp IN (74540,74540,74540,74540,74540,74540,74540,74540,74540,73410,74320,74600,74540,74540,73100,74540,74150,73410,73410,74410,73350,73340,74410,73100,73340,73100,74150,74600,73410,73410,74150,73340,74150,74410,74410,74150,73100,73410,73340,73340,74650,73340,74320,74600,73410,74210,74150,73100,74150,74150,73100,74410,74330,73410,74210,74210,74960,73630,74290,74150,73100,74150,74000,73630,74290,73100,74330,74290,74330,73100,73340,73630,74150,74290,73310,74210,73420,74940,74210,74960,74150,74330,74370,73420,73630,73100,73370,74150,74290,73630,73310,73310,74230,73310,73310,74150,74330,73230,73340,73420,74150,74150,73370,73170,73630,74370,74370,74210,73170,74370,74370,74210) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (1417,40850,153445,280371,296673,342622,388111,341295,96794,507610,509767)

23. 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 = 1417 AND W.type_id = 1) OR (W.util_id <> 1417 AND W.type_id = 2)) AND (M.post_util_id = 1417 OR M.dest_util_id = 1417) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=1417 AND note_visu IN (1,3,4)

25. 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 = 40850 AND W.type_id = 1) OR (W.util_id <> 40850 AND W.type_id = 2)) AND (M.post_util_id = 40850 OR M.dest_util_id = 40850) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=40850 AND note_visu IN (1,3,4)

27. 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 = 153445 AND W.type_id = 1) OR (W.util_id <> 153445 AND W.type_id = 2)) AND (M.post_util_id = 153445 OR M.dest_util_id = 153445) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=153445 AND note_visu IN (1,3,4)

29. 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 = 280371 AND W.type_id = 1) OR (W.util_id <> 280371 AND W.type_id = 2)) AND (M.post_util_id = 280371 OR M.dest_util_id = 280371) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

30. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=280371 AND note_visu IN (1,3,4)

31. 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 = 296673 AND W.type_id = 1) OR (W.util_id <> 296673 AND W.type_id = 2)) AND (M.post_util_id = 296673 OR M.dest_util_id = 296673) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

32. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=296673 AND note_visu IN (1,3,4)

33. 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 = 342622 AND W.type_id = 1) OR (W.util_id <> 342622 AND W.type_id = 2)) AND (M.post_util_id = 342622 OR M.dest_util_id = 342622) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

34. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=342622 AND note_visu IN (1,3,4)

35. 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 = 388111 AND W.type_id = 1) OR (W.util_id <> 388111 AND W.type_id = 2)) AND (M.post_util_id = 388111 OR M.dest_util_id = 388111) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=388111 AND note_visu IN (1,3,4)

37. 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 = 341295 AND W.type_id = 1) OR (W.util_id <> 341295 AND W.type_id = 2)) AND (M.post_util_id = 341295 OR M.dest_util_id = 341295) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

38. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=341295 AND note_visu IN (1,3,4)

39. 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 = 96794 AND W.type_id = 1) OR (W.util_id <> 96794 AND W.type_id = 2)) AND (M.post_util_id = 96794 OR M.dest_util_id = 96794) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=96794 AND note_visu IN (1,3,4)

41. 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 = 507610 AND W.type_id = 1) OR (W.util_id <> 507610 AND W.type_id = 2)) AND (M.post_util_id = 507610 OR M.dest_util_id = 507610) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=507610 AND note_visu IN (1,3,4)

43. 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 = 509767 AND W.type_id = 1) OR (W.util_id <> 509767 AND W.type_id = 2)) AND (M.post_util_id = 509767 OR M.dest_util_id = 509767) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=509767 AND note_visu IN (1,3,4)

45. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='74540'

46. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((45.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.603435678816 AND ville_latitude_deg<45.963164321184 AND ville_longitude_deg>5.7920830019947 AND ville_longitude_deg<6.3079169980053 HAVING distance <= 20 ORDER BY distance ASC

47. 0.008

    SELECT ville_cp, ROUND((((acos(sin((45.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.05- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.333639197041 AND ville_latitude_deg<46.232960802959 AND ville_longitude_deg>5.4052019448425 AND ville_longitude_deg<6.6947980551575 HAVING distance <= 50 ORDER BY distance ASC

48. 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 (788)

49. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (341295,388111,96794,296673,509767,40850,1417,280371,342622,507610,153445)

50. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (341295,388111,96794,296673,509767,40850,1417,280371,342622,507610,153445)

51. 0.0003

    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='velos; velo; vélo; bicycle; vtt; vtc; velo; vélo; ' OR ssrubr_slug like '%velos; velo; vélo; bicycle; vtt; vtc; velo; vélo; %' OR MATCH (ssrubr_slug) AGAINST ('(+velos; +velo; +vélo; +bicycle; +vtt; +vtc; +velo; +vélo; +)')) AND sk.ssrubr_id='788' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

52. 0.0003

    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 = 5 AND ss.cate_id = 95 AND ss.ssrubr_id <> 788 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

53. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='788' AND actu_niveau=0 ORDER BY actu_ordre DESC

54. 0.0001

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

55. 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

56. 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 (95) ORDER BY ssrubr_order ASC

57. 0.0011

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

58. 0.0228

    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'

59. 0.0163

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

59 requetes sql en 0.0759