Location randonnée à 92300 Levallois-perret

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. 0.0001

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

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='92'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92300' AND ville_nom like '%levallois%perret%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0006

   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 '%randonnee%' OR ssrubr_title like '%randonnee%' OR ssrubr_slug like '%randonnee%') 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='92300'

12. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.720135678816 AND ville_latitude_deg<49.079864321184 AND ville_longitude_deg>2.0097197328734 AND ville_longitude_deg<2.5569402671266 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='randonnée'

14. 0.0006

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='95'AND MATCH (wish_title,wish_desc) AGAINST ('+randonnée*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '92300%'

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='randonnée' OR ssrubr_slug='randonnée' OR (ssrubr_title like '%randonnée%')) 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='randonnee' AND cate_id='95'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92300'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.720135678816 AND ville_latitude_deg<49.079864321184 AND ville_longitude_deg>2.0097197328734 AND ville_longitude_deg<2.5569402671266 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0083

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.450339197041 AND ville_latitude_deg<49.349660802959 AND ville_longitude_deg>1.5992984337256 AND ville_longitude_deg<2.9673615662744 HAVING distance <= 50 ORDER BY distance ASC

21. 0.057

    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((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28333- 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 ('(+randonnée*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92300,92300,92110,92600,92270,92200,92400,92250,92700,93400,92230,92390,93450,92150,92800,93800,95100,92000,95870,75009,75007,75116,75015,75020,75019,75003,75004,75005,75006,75008,75016,75010,75011,75012,75013,75014,75002,75017,75018,75000,75001,92500,78800,93210,93200,95210,95218,92170,93300,93120,78420,93430,92100,95880,95110,92210,93500,93310,95360,93240,78500,92130,95120,95230,92240,92120,93380,92380,78400,78360,95170,94250,95130,95530,93350,93170,95410,92360,92190,92410,92430,92420,95240,92310,94270,95600,92320,93230,93260,95580,92220,92140,95580,93440,78600,78170,78380,93100,78290,95160,95130,94110,95370,94200,94205,78600,93000,78110,95140,94160,94300,78560,92370,94800,95350,93700,93150,78430,92330,92260,95680,92350,95390,95320,95500,95200,95400,78140,93140,78230,95400,94220,94237,94234,94239,94240,94238,94236,94230,94235,94233,94232,94231,93130,95350,95220,78220,92340,78150,78150,95250,78100,78750,94140,92290,95440,78160,93110,95330,95500,95480,94400,95150,95550,94550,94700,78000,78870,94120,94410,78112,93250,95460,78620,78700,94340,94130,94320,92160,95570,95560,91370,94170,78590,95840,94260,95720,93340,93320,95570,78350,95570,95740,94150,91570,95500,78300,93360,78260,95720,94600,93600,78240,78570,95500,93220,78530,78350,91300,95560,94360,78590,93270,95190,95610,94000,95560,95720,94310,94390,95840,91320,78955,93330,91430,78780,94340,94210,94100,78210,78330,94500,78240,95540,91430,93190,93390,93420) 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 = 286315 AND W.type_id = 1) OR (W.util_id <> 286315 AND W.type_id = 2)) AND (M.post_util_id = 286315 OR M.dest_util_id = 286315) 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=286315 AND note_visu IN (1,3,4)

24. 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 = 326795 AND W.type_id = 1) OR (W.util_id <> 326795 AND W.type_id = 2)) AND (M.post_util_id = 326795 OR M.dest_util_id = 326795) 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=326795 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 = 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 <> ''

27. 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)

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 = 357876 AND W.type_id = 1) OR (W.util_id <> 357876 AND W.type_id = 2)) AND (M.post_util_id = 357876 OR M.dest_util_id = 357876) 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=357876 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 = 372293 AND W.type_id = 1) OR (W.util_id <> 372293 AND W.type_id = 2)) AND (M.post_util_id = 372293 OR M.dest_util_id = 372293) 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=372293 AND note_visu IN (1,3,4)

32. 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 = 378854 AND W.type_id = 1) OR (W.util_id <> 378854 AND W.type_id = 2)) AND (M.post_util_id = 378854 OR M.dest_util_id = 378854) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=378854 AND note_visu IN (1,3,4)

34. 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 = 259453 AND W.type_id = 1) OR (W.util_id <> 259453 AND W.type_id = 2)) AND (M.post_util_id = 259453 OR M.dest_util_id = 259453) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=259453 AND note_visu IN (1,3,4)

36. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92300'

37. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.720135678816 AND ville_latitude_deg<49.079864321184 AND ville_longitude_deg>2.0097197328734 AND ville_longitude_deg<2.5569402671266 HAVING distance <= 20 ORDER BY distance ASC

38. 0.0067

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.450339197041 AND ville_latitude_deg<49.349660802959 AND ville_longitude_deg>1.5992984337256 AND ville_longitude_deg<2.9673615662744 HAVING distance <= 50 ORDER BY distance ASC

39. 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 (788,708,1124)

40. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (322816,357876,372293,326795,259453,286315,378854)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (322816,357876,372293,326795,259453,286315,378854)

42. 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

43. 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='randonnée' OR ssrubr_slug like '%randonnée%' OR MATCH (ssrubr_slug) AGAINST ('(+randonnée)')) AND sk.ssrubr_id='708' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 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 <> 708 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='708' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0.0001

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

47. 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

48. 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

49. 0.0012

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

50. 0.0319

    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'

51. 0.0244

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

51 requetes sql en 0.1453