Location aspirateur à 95380 Louvres

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-nettoyage'

3. 0.0001

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

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('95' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95380' AND ville_nom like '%louvres%' 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. 0.0002

   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. 0.0003

    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='95380'

12. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((49.05*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.05*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.870135678816 AND ville_latitude_deg<49.229864321184 AND ville_longitude_deg>2.2588951972841 AND ville_longitude_deg<2.8077648027159 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='aspirateur'

14. 0.003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='110' AND ssrubr_id='746' AND wish_visu IN (1,6,10) AND wish_cp like '95380%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=110

16. 0.0002

    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='95380'

19. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((49.05*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.05*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.870135678816 AND ville_latitude_deg<49.229864321184 AND ville_longitude_deg>2.2588951972841 AND ville_longitude_deg<2.8077648027159 HAVING distance <= 20 ORDER BY distance ASC

20. 0.018

    SELECT ville_cp, ROUND((((acos(sin((49.05*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.05*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.600339197041 AND ville_latitude_deg<49.499660802959 AND ville_longitude_deg>1.8472370769771 AND ville_longitude_deg<3.2194229230229 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0033

    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((49.05*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.05*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- 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 ssrubr_id='746' AND wish_visu IN (1,6,10) AND wish_cp IN (95380,95380,95380,95380,95380,95470,95380,77990,95470,95670,77230,95470,95700,95190,77230,77990,95190,95190,95500,60128,95470,95850,95500,95270,77230,95850,95720,95270,95270,95720,60128,93420,60520,95270,60560,95500,77290,95720,77230,95720,95270,77230,93290,77230,60520,93600,77290,95270,95400,77280,95440,95270,60520,95500,60580,95270,60950,95400,95200,95460,77230,95140,60330,95570,93270,93410,60260,95350,95570,77230,77410,77230,77230,95350,93440,77410,93150,93700,77270,95270,95570,95330,93390,93190,77230,93470,77181,95270,60950,93380,77410,95410,93350,93240,95160,95560,77230,77181,95560,60330,95270,95360,95170,77410,60300,60300,93340,93320,93370,60300,60300,95570,77230,60500,60300,60270,77410,95560,95270,93430,60500,93140,60950,77165,60300,93000,60330,77165,95580,95580,60300,93210,93200,95880,93300,93120,93220,95590,95230,95590,95680,60820,93250,77165,77165,95600,93130,77500,93500,95590,77410,95560,60300,60740,60300,77165,77178,93450,92390,77410,77410,95390,93800,93230,93260,77177,77410,60300) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (129820,175989,224165,302422,375046,439496,209090,471981)

23. 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 = 129820 AND W.type_id = 1) OR (W.util_id <> 129820 AND W.type_id = 2)) AND (M.post_util_id = 129820 OR M.dest_util_id = 129820) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=129820 AND note_visu IN (1,3,4)

25. 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 = 175989 AND W.type_id = 1) OR (W.util_id <> 175989 AND W.type_id = 2)) AND (M.post_util_id = 175989 OR M.dest_util_id = 175989) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=175989 AND note_visu IN (1,3,4)

27. 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 = 224165 AND W.type_id = 1) OR (W.util_id <> 224165 AND W.type_id = 2)) AND (M.post_util_id = 224165 OR M.dest_util_id = 224165) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=224165 AND note_visu IN (1,3,4)

29. 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 = 302422 AND W.type_id = 1) OR (W.util_id <> 302422 AND W.type_id = 2)) AND (M.post_util_id = 302422 OR M.dest_util_id = 302422) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

30. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=302422 AND note_visu IN (1,3,4)

31. 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 = 375046 AND W.type_id = 1) OR (W.util_id <> 375046 AND W.type_id = 2)) AND (M.post_util_id = 375046 OR M.dest_util_id = 375046) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

32. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=375046 AND note_visu IN (1,3,4)

33. 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 = 439496 AND W.type_id = 1) OR (W.util_id <> 439496 AND W.type_id = 2)) AND (M.post_util_id = 439496 OR M.dest_util_id = 439496) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

34. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=439496 AND note_visu IN (1,3,4)

35. 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 = 209090 AND W.type_id = 1) OR (W.util_id <> 209090 AND W.type_id = 2)) AND (M.post_util_id = 209090 OR M.dest_util_id = 209090) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=209090 AND note_visu IN (1,3,4)

37. 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 = 471981 AND W.type_id = 1) OR (W.util_id <> 471981 AND W.type_id = 2)) AND (M.post_util_id = 471981 OR M.dest_util_id = 471981) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

38. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=471981 AND note_visu IN (1,3,4)

39. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95380'

40. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((49.05*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.05*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.870135678816 AND ville_latitude_deg<49.229864321184 AND ville_longitude_deg>2.2588951972841 AND ville_longitude_deg<2.8077648027159 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0201

    SELECT ville_cp, ROUND((((acos(sin((49.05*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.05*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.600339197041 AND ville_latitude_deg<49.499660802959 AND ville_longitude_deg>1.8472370769771 AND ville_longitude_deg<3.2194229230229 HAVING distance <= 50 ORDER BY distance ASC

42. 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 (746)

43. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (129820,375046,175989,302422,471981,439496,209090,224165)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (129820,375046,175989,302422,471981,439496,209090,224165)

45. 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

46. 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 = 110 AND ss.ssrubr_id <> 746 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0002

    SELECT * FROM actu WHERE ssrubr_id='746' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0.0001

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

49. 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

50. 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

51. 0.0017

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

52. 0.0343

    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'

53. 0.029

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

53 requetes sql en 0.1253