Location box sécurisé à 77990 Le mesnil-amelot

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='box-stockage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=79

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='77'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='77990' AND ville_nom like '%le%mesnil%amelot%' 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 '%stockage%box%securise%' OR ssrubr_title like '%stockage%box%securise%' OR ssrubr_slug like '%stockage%box%securise%') AND cate_id='79' 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='77990'

12. 0.003

    SELECT ville_cp, ROUND((((acos(sin((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.6- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.836835678816 AND ville_latitude_deg<49.196564321184 AND ville_longitude_deg>2.3257488354746 AND ville_longitude_deg<2.8742511645254 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='sécurisé; stockage box securise'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='79'AND MATCH (wish_title,wish_desc) AGAINST ('+sécurisé; stockage box securise*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '77990%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=79

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='sécurisé; stockage box securise' OR ssrubr_slug='sécurisé;-stockage-box-securise' OR (ssrubr_title like '%sécurisé; stockage box securise%')) AND cate_id='79' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='stockage-box-securise' AND cate_id='79'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77990'

19. 0.003

    SELECT ville_cp, ROUND((((acos(sin((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.6- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.836835678816 AND ville_latitude_deg<49.196564321184 AND ville_longitude_deg>2.3257488354746 AND ville_longitude_deg<2.8742511645254 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0175

    SELECT ville_cp, ROUND((((acos(sin((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.6- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.567039197041 AND ville_latitude_deg<49.466360802959 AND ville_longitude_deg>1.9143661764121 AND ville_longitude_deg<3.2856338235879 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0314

    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((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.6- 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='79' AND MATCH (wish_desc) AGAINST ('(+sécurisé; +stockage +box +securise*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (77990,77990,77990,77230,77230,77290,95380,77230,95380,77290,77230,95470,95380,77230,95700,93290,77230,93420,77410,95380,77230,77230,95470,77410,77230,95500,77410,60128,77270,77280,93600,93410,77230,95190,95500,95470,77230,95380,95670,60330,77410,93270,77230,60950,60128,77181,77181,93470,95190,95500,93390,93190,77410,77165,95720,95190,77165,95470,77230,95850,93370,60330,95850,95500,77410,95270,77410,95720,77165,77165,60520,77410,95400,77410,60560,93340,95270,93320,95270,93150,93700,95140,77165,77500,60520,60950,77177,95720,60520,60330,95270,93440,77410,77400,77178,95720,93220,95440,95400,95200,77400,60950,93140,77410,93350,77450,95270,77450,93250,77178,93460,93000,77122,77360,95460,77400,95350,60330,95270,95270,93240,60580,93130,77400,60300,60300,93360,77400,93380,77124,77400,95350,95270,77450,77420,95570,77165,95570,77165,95410,77450,77186,93160,93110,77400,60440,77200,95360,60300,60260,93330,93230,77144,93260,77700,60300,93300,93120,60440,77600,77700,95330,93500,95160,95570,95170,77124,77600,77600,77600,94170,93200,93210,60440,93430,77144) 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 = 33163 AND W.type_id = 1) OR (W.util_id <> 33163 AND W.type_id = 2)) AND (M.post_util_id = 33163 OR M.dest_util_id = 33163) 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=33163 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 = 205467 AND W.type_id = 1) OR (W.util_id <> 205467 AND W.type_id = 2)) AND (M.post_util_id = 205467 OR M.dest_util_id = 205467) 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=205467 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 = 237519 AND W.type_id = 1) OR (W.util_id <> 237519 AND W.type_id = 2)) AND (M.post_util_id = 237519 OR M.dest_util_id = 237519) 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=237519 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 = 297213 AND W.type_id = 1) OR (W.util_id <> 297213 AND W.type_id = 2)) AND (M.post_util_id = 297213 OR M.dest_util_id = 297213) 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=297213 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 = 374094 AND W.type_id = 1) OR (W.util_id <> 374094 AND W.type_id = 2)) AND (M.post_util_id = 374094 OR M.dest_util_id = 374094) 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=374094 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 = 172530 AND W.type_id = 1) OR (W.util_id <> 172530 AND W.type_id = 2)) AND (M.post_util_id = 172530 OR M.dest_util_id = 172530) 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=172530 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 = 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 <> ''

35. 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)

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 = 517605 AND W.type_id = 1) OR (W.util_id <> 517605 AND W.type_id = 2)) AND (M.post_util_id = 517605 OR M.dest_util_id = 517605) 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=517605 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 = 548058 AND W.type_id = 1) OR (W.util_id <> 548058 AND W.type_id = 2)) AND (M.post_util_id = 548058 OR M.dest_util_id = 548058) 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=548058 AND note_visu IN (1,3,4)

40. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77990'

41. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.6- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.836835678816 AND ville_latitude_deg<49.196564321184 AND ville_longitude_deg>2.3257488354746 AND ville_longitude_deg<2.8742511645254 HAVING distance <= 20 ORDER BY distance ASC

42. 0.0157

    SELECT ville_cp, ROUND((((acos(sin((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.6- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.567039197041 AND ville_latitude_deg<49.466360802959 AND ville_longitude_deg>1.9143661764121 AND ville_longitude_deg<3.2856338235879 HAVING distance <= 50 ORDER BY distance ASC

43. 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 (514,512,1174,510,515,511)

44. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (33163,172530,237519,471981,517605,297213,374094,548058,205467)

45. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (33163,172530,237519,471981,517605,297213,374094,548058,205467)

46. 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=79 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

47. 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='sécurisé; stockage box securise' OR ssrubr_slug like '%sécurisé; stockage box securise%' OR MATCH (ssrubr_slug) AGAINST ('(+sécurisé; +stockage +box +securise)')) AND sk.ssrubr_id='514' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

48. 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 = 79 AND ss.ssrubr_id <> 514 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

49. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='514' AND actu_niveau=0 ORDER BY actu_ordre DESC

50. 0

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

51. 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

52. 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 (79) ORDER BY ssrubr_order ASC

53. 0.0011

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

54. 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'

55. 0.0168

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

55 requetes sql en 0.1208