Location vélo à 59221 Bauvin

1. 0.0002

   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. 0.0001

   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('59' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59221' AND ville_nom like '%bauvin%' 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. 0.0018

   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. 0.0003

    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='59221'

12. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.88333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.336835678816 AND ville_latitude_deg<50.696564321184 AND ville_longitude_deg>2.6004587464589 AND ville_longitude_deg<3.1662012535411 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. 0.0001

    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 '59221%'

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='59221'

19. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.88333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.336835678816 AND ville_latitude_deg<50.696564321184 AND ville_longitude_deg>2.6004587464589 AND ville_longitude_deg<3.1662012535411 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0142

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.88333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.067039197041 AND ville_latitude_deg<50.966360802959 AND ville_longitude_deg>2.176145768042 AND ville_longitude_deg<3.590514231958 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((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.88333- 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 (59221,59221,62138,62410,59496,59185,62138,59184,59274,59112,59496,59272,62410,59251,62410,62880,62880,62880,59134,62138,59112,62410,59134,59136,62880,59480,59480,59147,62220,62138,59133,59147,62138,59134,62440,59147,62710,62149,62840,62590,62221,62218,59133,62149,59249,59134,62740,59249,62640,62300,59263,62820,62840,62750,59211,62149,59134,62420,62430,62149,59113,62980,59261,59320,59320,62119,62110,59320,59320,59551,59239,62149,59139,59320,62300,62136,62980,59239,59320,59162,62160,59175,62680,62113,62113,59320,62950,62210,59320,62800,62136,59139,62141,59175,62670,62660,59320,59551,59710,59120,62970,62143,59280,62320,62320,62136,59155,62160,62320,62320,62840,62840,62113,59840,62400,62290,59160,62790,62114,59283,59246,59950,62400,59710,59710,62580,62580,59283,62840,62580,62160,62580,62490,59940,59128,62153,59840,59710,62400,62131,62131,59790,62136,59286,59273,59810,62530,62490,62131,59130,59160,59000,59777,59800,59253,59350,59280,62580,59310,59930,59840,59193,62580,62580,62232,62580,62232,62172,62232,62153,59553,59553,59553,62620,59235,62580,59350,62232,59110,62144,59260,62530) 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 (144332,175371,175504,261770,319308,333363,336503,368202,369312,380800)

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 = 144332 AND W.type_id = 1) OR (W.util_id <> 144332 AND W.type_id = 2)) AND (M.post_util_id = 144332 OR M.dest_util_id = 144332) 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=144332 AND note_visu IN (1,3,4)

25. 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 = 175371 AND W.type_id = 1) OR (W.util_id <> 175371 AND W.type_id = 2)) AND (M.post_util_id = 175371 OR M.dest_util_id = 175371) 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=175371 AND note_visu IN (1,3,4)

27. 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 = 175504 AND W.type_id = 1) OR (W.util_id <> 175504 AND W.type_id = 2)) AND (M.post_util_id = 175504 OR M.dest_util_id = 175504) 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=175504 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 = 261770 AND W.type_id = 1) OR (W.util_id <> 261770 AND W.type_id = 2)) AND (M.post_util_id = 261770 OR M.dest_util_id = 261770) 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=261770 AND note_visu IN (1,3,4)

31. 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 = 319308 AND W.type_id = 1) OR (W.util_id <> 319308 AND W.type_id = 2)) AND (M.post_util_id = 319308 OR M.dest_util_id = 319308) 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=319308 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 = 333363 AND W.type_id = 1) OR (W.util_id <> 333363 AND W.type_id = 2)) AND (M.post_util_id = 333363 OR M.dest_util_id = 333363) 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=333363 AND note_visu IN (1,3,4)

35. 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 = 336503 AND W.type_id = 1) OR (W.util_id <> 336503 AND W.type_id = 2)) AND (M.post_util_id = 336503 OR M.dest_util_id = 336503) 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=336503 AND note_visu IN (1,3,4)

37. 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 = 368202 AND W.type_id = 1) OR (W.util_id <> 368202 AND W.type_id = 2)) AND (M.post_util_id = 368202 OR M.dest_util_id = 368202) 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=368202 AND note_visu IN (1,3,4)

39. 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 = 369312 AND W.type_id = 1) OR (W.util_id <> 369312 AND W.type_id = 2)) AND (M.post_util_id = 369312 OR M.dest_util_id = 369312) 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=369312 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 = 380800 AND W.type_id = 1) OR (W.util_id <> 380800 AND W.type_id = 2)) AND (M.post_util_id = 380800 OR M.dest_util_id = 380800) 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=380800 AND note_visu IN (1,3,4)

43. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59221'

44. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.88333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.336835678816 AND ville_latitude_deg<50.696564321184 AND ville_longitude_deg>2.6004587464589 AND ville_longitude_deg<3.1662012535411 HAVING distance <= 20 ORDER BY distance ASC

45. 0.0146

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.88333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.067039197041 AND ville_latitude_deg<50.966360802959 AND ville_longitude_deg>2.176145768042 AND ville_longitude_deg<3.590514231958 HAVING distance <= 50 ORDER BY distance ASC

46. 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)

47. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (380800,319308,261770,336503,175371,368202,369312,144332,175504,333363)

48. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (380800,319308,261770,336503,175371,368202,369312,144332,175504,333363)

49. 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

50. 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

51. 0.0001

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

52. 0.0001

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

53. 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

54. 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

55. 0.0013

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

56. 0.0254

    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'

57. 0.0181

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

57 requetes sql en 0.0944