Location remorque vélo à 59139 Wattignies

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

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

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='59'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59139' AND ville_nom like '%wattignies%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0007

   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 '%remorque%velo%' OR ssrubr_title like '%remorque%velo%' OR ssrubr_slug like '%remorque%velo%') AND cate_id='95' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   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='59139'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.403435678816 AND ville_latitude_deg<50.763164321184 AND ville_longitude_deg>2.7333988798432 AND ville_longitude_deg<3.2999411201568 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='remorque vélo'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='95'AND MATCH (wish_title,wish_desc) AGAINST ('+remorque vélo*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59139%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=95

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='remorque vélo' OR ssrubr_slug='remorque-vélo' OR (ssrubr_title like '%remorque 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='remorque-velo' AND cate_id='95'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59139'

19. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.403435678816 AND ville_latitude_deg<50.763164321184 AND ville_longitude_deg>2.7333988798432 AND ville_longitude_deg<3.2999411201568 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0177

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.133639197041 AND ville_latitude_deg<51.032960802959 AND ville_longitude_deg>2.3084860928827 AND ville_longitude_deg<3.7248539071173 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0471

    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((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- 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 MATCH (wish_desc) AGAINST ('(+remorque +vélo*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59139,59139,59263,59320,59139,59175,59320,59155,59120,59113,59175,59147,59320,59211,59147,59320,59147,59790,59320,59000,59777,59350,59160,59800,59320,59320,59810,59320,59710,59251,59134,59136,59133,59130,59133,59551,59260,59320,59272,59112,59112,59160,59110,59350,59840,59273,59184,59370,59840,59134,59239,59840,59710,59134,59185,59710,59551,59700,59262,59134,59273,59520,62820,59261,59237,59274,59118,59239,59710,62220,59830,59134,59249,59242,59496,59280,59221,59242,62138,59510,59246,59152,59249,59152,59480,62590,62410,59290,59170,59830,59930,59496,59493,59655,59650,59491,59152,59830,59910,59280,59235,59152,62880,59116,59162,59890,62840,59510,62138,59242,59420,59310,59283,59830,59236,62710,62880,62880,59193,62410,59390,59780,59480,59780,62840,59780,62840,59830,62141,7783,59100,62880,62119,59390,62440,62138,62790,59390,62410,59310,59890,59223,59250,59283,59126,62138,59200,62640,59830,59390,62410,59830,62138,62740,59850,62840,62970,7782,59950,62950,59560,59310,59286,62840,59150,62149,7784,62110,7522,7522,62136,59310,7780,7780,62218,62221,7520,59115,7730,7784) AND type_id=1 GROUP BY wish_id

22. 0.0003

    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 = 148302 AND W.type_id = 1) OR (W.util_id <> 148302 AND W.type_id = 2)) AND (M.post_util_id = 148302 OR M.dest_util_id = 148302) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=148302 AND note_visu IN (1,3,4)

24. 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 = 291686 AND W.type_id = 1) OR (W.util_id <> 291686 AND W.type_id = 2)) AND (M.post_util_id = 291686 OR M.dest_util_id = 291686) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=291686 AND note_visu IN (1,3,4)

26. 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 = 374453 AND W.type_id = 1) OR (W.util_id <> 374453 AND W.type_id = 2)) AND (M.post_util_id = 374453 OR M.dest_util_id = 374453) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=374453 AND note_visu IN (1,3,4)

28. 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 = 504658 AND W.type_id = 1) OR (W.util_id <> 504658 AND W.type_id = 2)) AND (M.post_util_id = 504658 OR M.dest_util_id = 504658) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=504658 AND note_visu IN (1,3,4)

30. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59139'

31. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.403435678816 AND ville_latitude_deg<50.763164321184 AND ville_longitude_deg>2.7333988798432 AND ville_longitude_deg<3.2999411201568 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0145

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.133639197041 AND ville_latitude_deg<51.032960802959 AND ville_longitude_deg>2.3084860928827 AND ville_longitude_deg<3.7248539071173 HAVING distance <= 50 ORDER BY distance ASC

33. 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 (736,743)

34. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (291686,148302,504658,374453)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (291686,148302,504658,374453)

36. 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=95 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

37. 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='remorque vélo' OR ssrubr_slug like '%remorque vélo%' OR MATCH (ssrubr_slug) AGAINST ('(+remorque +vélo)')) AND sk.ssrubr_id='736' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 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 <> 736 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='736' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0.0001

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

41. 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

42. 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

43. 0.0016

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

44. 0.0335

    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'

45. 0.0286

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

45 requetes sql en 0.1583