Location remorque vélo à 94700 Maisons-alfort

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='94'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='94700' AND ville_nom like '%maisons%alfort%' 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. 0.0019

   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. 0.0003

    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='94700'

12. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.43333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>2.1602656388795 AND ville_longitude_deg<2.7063943611205 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='remorque vélo'

14. 0.0009

    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 '94700%'

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='94700'

19. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.43333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>2.1602656388795 AND ville_longitude_deg<2.7063943611205 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0068

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.43333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.350339197041 AND ville_latitude_deg<49.249660802959 AND ville_longitude_deg>1.7506632105093 AND ville_longitude_deg<3.1159967894907 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0698

    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((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.43333- 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 (94700,94700,94140,94220,94410,94340,94400,94000,94160,94600,94200,94205,94340,94210,94100,94800,94380,94320,94130,94270,94300,94460,94390,94310,94430,94500,94120,94360,94550,94110,94170,93100,94290,93170,94190,94250,94233,94232,94230,94234,94238,94235,94236,94237,94240,94239,94231,94370,94380,94470,94150,93110,94450,92120,94880,94880,94490,92340,93330,93260,93230,94350,75014,75004,75018,75011,75005,75013,75010,75003,75009,75116,75020,75008,75006,75017,75016,75015,75019,75002,75000,75001,75007,75012,91560,94480,91200,93130,93310,93360,92220,92240,94420,94260,91320,92170,93250,91550,91330,92320,94510,92330,92260,91270,91230,93000,93160,92160,94440,93140,93500,93220,94440,91800,92140,93460,92130,92350,77340,93340,93320,92290,91210,91300,93400,91420,77420,91370,94440,93300,91260,93120,77184,92100,77185,94520,94520,92190,92360,91860,77170,92110,93370,91160,91380,93700,93150,93350,91800,91170,92200,77500,77150,93390,93190,92300,77186,93200,93210,77680,91390,91600,91120,92800,92150,91480,92600,77150,91160,93270,92390,93450,92210,91360,91480,93440,91000,91450,91130,77200,91570,93470,77181,93240,91350,92370,91360,92400,92310,77177,92250,91140,77090,77183,77330,77360,91430,92230,93410,77380,93600,92270,91160,92410,78140,91160,95500,95140,91090,91000,91430,77181,92700,77170,91450,93430,92380,93800,77600,91250,93380,91700,92420,92430,91700,92500,77173,95360,78220,77135,91140,77400,78350,91700,93420,77270) AND type_id=1 GROUP BY wish_id

22. 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 = 193572 AND W.type_id = 1) OR (W.util_id <> 193572 AND W.type_id = 2)) AND (M.post_util_id = 193572 OR M.dest_util_id = 193572) 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=193572 AND note_visu IN (1,3,4)

24. 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 = 322816 AND W.type_id = 1) OR (W.util_id <> 322816 AND W.type_id = 2)) AND (M.post_util_id = 322816 OR M.dest_util_id = 322816) 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=322816 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 = 324438 AND W.type_id = 1) OR (W.util_id <> 324438 AND W.type_id = 2)) AND (M.post_util_id = 324438 OR M.dest_util_id = 324438) 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=324438 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 = 328769 AND W.type_id = 1) OR (W.util_id <> 328769 AND W.type_id = 2)) AND (M.post_util_id = 328769 OR M.dest_util_id = 328769) 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=328769 AND note_visu IN (1,3,4)

30. 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 = 435427 AND W.type_id = 1) OR (W.util_id <> 435427 AND W.type_id = 2)) AND (M.post_util_id = 435427 OR M.dest_util_id = 435427) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=435427 AND note_visu IN (1,3,4)

32. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94700'

33. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.43333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>2.1602656388795 AND ville_longitude_deg<2.7063943611205 HAVING distance <= 20 ORDER BY distance ASC

34. 0.0066

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.43333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.350339197041 AND ville_latitude_deg<49.249660802959 AND ville_longitude_deg>1.7506632105093 AND ville_longitude_deg<3.1159967894907 HAVING distance <= 50 ORDER BY distance ASC

35. 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)

36. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (322816,193572,435427,324438,328769)

37. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (322816,193572,435427,324438,328769)

38. 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=95 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

39. 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

40. 0.0002

    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

41. 0.0001

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

42. 0.0001

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

43. 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

44. 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

45. 0.0011

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

46. 0.0379

    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'

47. 0.029

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

47 requetes sql en 0.168