Location remorque à 91310 Linas

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='outillage-mecanique-automobile'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=227

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='91'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91310' AND ville_nom like '%linas%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%remorque%' OR ssrubr_title like '%remorque%' OR ssrubr_slug like '%remorque%') AND cate_id='227' 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='91310'

12. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.453435678816 AND ville_latitude_deg<48.813164321184 AND ville_longitude_deg>1.9945090001937 AND ville_longitude_deg<2.5388309998063 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='remorque'

14. 0.0009

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='227'AND MATCH (wish_title,wish_desc) AGAINST ('+remorque*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '91310%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=227

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='remorque' OR ssrubr_slug='remorque' OR (ssrubr_title like '%remorque%')) AND cate_id='227' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='remorque' AND cate_id='227'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91310'

19. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.453435678816 AND ville_latitude_deg<48.813164321184 AND ville_longitude_deg>1.9945090001937 AND ville_longitude_deg<2.5388309998063 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0059

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.183639197041 AND ville_latitude_deg<49.082960802959 AND ville_longitude_deg>1.5862616332696 AND ville_longitude_deg<2.9470783667304 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0489

    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((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- 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='227' AND MATCH (wish_desc) AGAINST ('(+remorque*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91310,91310,91310,91310,91620,91310,91240,91460,91620,91700,91180,91160,91220,91220,91700,91360,91160,91290,91290,91140,91680,91360,91340,91520,91390,91600,91700,91630,91160,91630,91140,91630,91160,91380,91940,91630,91640,91640,91070,91350,91420,91940,91630,91170,91680,91120,91650,91400,91080,91790,91260,91810,91650,91440,91000,91130,91640,91300,91940,91190,91730,91650,91640,91090,91400,91430,91550,91710,91430,91770,91320,91540,91210,91530,91470,91910,91730,91510,91510,91370,91850,92160,91270,91400,91090,91000,91730,91570,94260,91200,91190,91540,91450,91470,91760,91580,91540,91540,94150,94480,91190,91530,91100,91450,91610,92290,91470,91230,78470,91580,94290,91470,91250,91470,91590,94550,92340,94390,94310,91100,91560,91530,78117,91580,78350,91750,92350,92330,92260,91580,91470,78117,91580,94320,91250,78830,91280,94235,94234,94232,94236,94231,94238,94239,94230,94237,94233,94240,94190,91530,91250,78460,78530,91590,78350,78114,94600,92140,91580,91590,92320,91800,91250,91410,91830,92220,91750,91590,92370,94110,91860,78460,94400,94450,78470,91830,91330,91590,78140,92360,92190,94460,78830,94800,78220,91480,91590) 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 = 103702 AND W.type_id = 1) OR (W.util_id <> 103702 AND W.type_id = 2)) AND (M.post_util_id = 103702 OR M.dest_util_id = 103702) 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=103702 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 = 97147 AND W.type_id = 1) OR (W.util_id <> 97147 AND W.type_id = 2)) AND (M.post_util_id = 97147 OR M.dest_util_id = 97147) 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=97147 AND note_visu IN (1,3,4)

26. 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 = 188367 AND W.type_id = 1) OR (W.util_id <> 188367 AND W.type_id = 2)) AND (M.post_util_id = 188367 OR M.dest_util_id = 188367) 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=188367 AND note_visu IN (1,3,4)

28. 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 = 201125 AND W.type_id = 1) OR (W.util_id <> 201125 AND W.type_id = 2)) AND (M.post_util_id = 201125 OR M.dest_util_id = 201125) 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=201125 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 = 234488 AND W.type_id = 1) OR (W.util_id <> 234488 AND W.type_id = 2)) AND (M.post_util_id = 234488 OR M.dest_util_id = 234488) 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=234488 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 = 317219 AND W.type_id = 1) OR (W.util_id <> 317219 AND W.type_id = 2)) AND (M.post_util_id = 317219 OR M.dest_util_id = 317219) 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=317219 AND note_visu IN (1,3,4)

34. 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 = 315352 AND W.type_id = 1) OR (W.util_id <> 315352 AND W.type_id = 2)) AND (M.post_util_id = 315352 OR M.dest_util_id = 315352) 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=315352 AND note_visu IN (1,3,4)

36. 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 = 326493 AND W.type_id = 1) OR (W.util_id <> 326493 AND W.type_id = 2)) AND (M.post_util_id = 326493 OR M.dest_util_id = 326493) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=326493 AND note_visu IN (1,3,4)

38. 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 = 368604 AND W.type_id = 1) OR (W.util_id <> 368604 AND W.type_id = 2)) AND (M.post_util_id = 368604 OR M.dest_util_id = 368604) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

39. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=368604 AND note_visu IN (1,3,4)

40. 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 = 370222 AND W.type_id = 1) OR (W.util_id <> 370222 AND W.type_id = 2)) AND (M.post_util_id = 370222 OR M.dest_util_id = 370222) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

41. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=370222 AND note_visu IN (1,3,4)

42. 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 = 439899 AND W.type_id = 1) OR (W.util_id <> 439899 AND W.type_id = 2)) AND (M.post_util_id = 439899 OR M.dest_util_id = 439899) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

43. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=439899 AND note_visu IN (1,3,4)

44. 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 = 518509 AND W.type_id = 1) OR (W.util_id <> 518509 AND W.type_id = 2)) AND (M.post_util_id = 518509 OR M.dest_util_id = 518509) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

45. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=518509 AND note_visu IN (1,3,4)

46. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91310'

47. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.453435678816 AND ville_latitude_deg<48.813164321184 AND ville_longitude_deg>1.9945090001937 AND ville_longitude_deg<2.5388309998063 HAVING distance <= 20 ORDER BY distance ASC

48. 0.0056

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.183639197041 AND ville_latitude_deg<49.082960802959 AND ville_longitude_deg>1.5862616332696 AND ville_longitude_deg<2.9470783667304 HAVING distance <= 50 ORDER BY distance ASC

49. 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 (727)

50. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (103702,201125,439899,518509,315352,317219,370222,188367,97147,234488,326493,368604)

51. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (103702,201125,439899,518509,315352,317219,370222,188367,97147,234488,326493,368604)

52. 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=227 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

53. 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' OR ssrubr_slug like '%remorque%' OR MATCH (ssrubr_slug) AGAINST ('(+remorque)')) AND sk.ssrubr_id='727' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

54. 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 = 227 AND ss.ssrubr_id <> 727 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

55. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='727' AND actu_niveau=0 ORDER BY actu_ordre DESC

56. 0

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

57. 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

58. 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 (227) ORDER BY ssrubr_order ASC

59. 0.0009

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

60. 0.0259

    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'

61. 0.0177

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

61 requetes sql en 0.1178