Location aspirateur à 34000 Montpellier

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-nettoyage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=110

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='34'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='34000' AND ville_nom like '%montpellier%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%aspirateur%' OR ssrubr_title like '%aspirateur%' OR ssrubr_slug like '%aspirateur%') AND cate_id='110' 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='34000'

12. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((43.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.88333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.420135678816 AND ville_latitude_deg<43.779864321184 AND ville_longitude_deg>3.6349571672761 AND ville_longitude_deg<4.1317028327239 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='aspirateur'

14. 0.0014

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='110'AND MATCH (wish_title,wish_desc) AGAINST ('+aspirateur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '34000%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=110

16. 0.0001

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='aspirateur' OR ssrubr_slug='aspirateur' OR (ssrubr_title like '%aspirateur%')) AND cate_id='110' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='aspirateur' AND cate_id='110'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='34000'

19. 0.0011

    SELECT ville_cp, ROUND((((acos(sin((43.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.88333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.420135678816 AND ville_latitude_deg<43.779864321184 AND ville_longitude_deg>3.6349571672761 AND ville_longitude_deg<4.1317028327239 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0038

    SELECT ville_cp, ROUND((((acos(sin((43.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.88333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.150339197041 AND ville_latitude_deg<44.049660802959 AND ville_longitude_deg>3.2623925637981 AND ville_longitude_deg<4.5042674362019 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0578

    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((43.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.88333- 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='110' AND MATCH (wish_desc) AGAINST ('(+aspirateur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (34000,34070,34000,34090,34080,34970,34170,34430,34880,34830,34470,34920,34990,34570,34830,34130,34750,34980,34680,34250,34740,34570,34820,34980,34790,34130,34690,34160,34820,34730,34730,34570,34980,34110,34670,34980,34980,34820,34130,34670,34660,34660,34160,34110,34130,34270,34570,34270,34130,34570,34160,34130,34280,34160,34270,34160,34160,34160,34570,34160,34770,34400,34560,34270,34270,34160,34380,34400,34270,34160,34110) 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 = 131462 AND W.type_id = 1) OR (W.util_id <> 131462 AND W.type_id = 2)) AND (M.post_util_id = 131462 OR M.dest_util_id = 131462) 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=131462 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 = 147849 AND W.type_id = 1) OR (W.util_id <> 147849 AND W.type_id = 2)) AND (M.post_util_id = 147849 OR M.dest_util_id = 147849) 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=147849 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 = 254115 AND W.type_id = 1) OR (W.util_id <> 254115 AND W.type_id = 2)) AND (M.post_util_id = 254115 OR M.dest_util_id = 254115) 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=254115 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 = 323487 AND W.type_id = 1) OR (W.util_id <> 323487 AND W.type_id = 2)) AND (M.post_util_id = 323487 OR M.dest_util_id = 323487) 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=323487 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 = 361388 AND W.type_id = 1) OR (W.util_id <> 361388 AND W.type_id = 2)) AND (M.post_util_id = 361388 OR M.dest_util_id = 361388) 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=361388 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 = 348858 AND W.type_id = 1) OR (W.util_id <> 348858 AND W.type_id = 2)) AND (M.post_util_id = 348858 OR M.dest_util_id = 348858) 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=348858 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 = 305060 AND W.type_id = 1) OR (W.util_id <> 305060 AND W.type_id = 2)) AND (M.post_util_id = 305060 OR M.dest_util_id = 305060) 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=305060 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 = 464876 AND W.type_id = 1) OR (W.util_id <> 464876 AND W.type_id = 2)) AND (M.post_util_id = 464876 OR M.dest_util_id = 464876) 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=464876 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 = 474540 AND W.type_id = 1) OR (W.util_id <> 474540 AND W.type_id = 2)) AND (M.post_util_id = 474540 OR M.dest_util_id = 474540) 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=474540 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 = 288388 AND W.type_id = 1) OR (W.util_id <> 288388 AND W.type_id = 2)) AND (M.post_util_id = 288388 OR M.dest_util_id = 288388) 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=288388 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 = 522115 AND W.type_id = 1) OR (W.util_id <> 522115 AND W.type_id = 2)) AND (M.post_util_id = 522115 OR M.dest_util_id = 522115) 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=522115 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 = 541375 AND W.type_id = 1) OR (W.util_id <> 541375 AND W.type_id = 2)) AND (M.post_util_id = 541375 OR M.dest_util_id = 541375) 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=541375 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='34000'

47. 0.0011

    SELECT ville_cp, ROUND((((acos(sin((43.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.88333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.420135678816 AND ville_latitude_deg<43.779864321184 AND ville_longitude_deg>3.6349571672761 AND ville_longitude_deg<4.1317028327239 HAVING distance <= 20 ORDER BY distance ASC

48. 0.0033

    SELECT ville_cp, ROUND((((acos(sin((43.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.88333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.150339197041 AND ville_latitude_deg<44.049660802959 AND ville_longitude_deg>3.2623925637981 AND ville_longitude_deg<4.5042674362019 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 (1076,746,747,1115,1189)

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 (254115,464876,131462,541375,522115,305060,361388,288388,348858,323487,474540,147849)

51. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (254115,464876,131462,541375,522115,305060,361388,288388,348858,323487,474540,147849)

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=110 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='aspirateur' OR ssrubr_slug like '%aspirateur%' OR MATCH (ssrubr_slug) AGAINST ('(+aspirateur)')) AND sk.ssrubr_id='746' 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 = 110 AND ss.ssrubr_id <> 746 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

55. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='746' 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 (110) ORDER BY ssrubr_order ASC

59. 0.0011

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

60. 0.0239

    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. 0.0171

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

61 requetes sql en 0.1183