Location box sécurisé à 95380 Villeron

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. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='95'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95380' AND ville_nom like '%villeron%' 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. 0.0001

   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. 0.0002

    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. 0.0002

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

12. 0.0034

    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='sécurisé; stockage box securise'

14. 0.0006

    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 '95380%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=79

16. 0.0003

    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='95380'

19. 0.0026

    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. 0.0153

    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. 0.0315

    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='79' AND MATCH (wish_desc) AGAINST ('(+sécurisé; +stockage +box +securise*)' IN BOOLEAN MODE) 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. 0.0002

    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. 0.0002

    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 = 167694 AND W.type_id = 1) OR (W.util_id <> 167694 AND W.type_id = 2)) AND (M.post_util_id = 167694 OR M.dest_util_id = 167694) 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=167694 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 = 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 <> ''

27. 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)

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 = 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 <> ''

29. 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)

30. 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 = 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 <> ''

31. 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)

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. 0.0002

    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 <> ''

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='95380'

41. 0.0022

    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

42. 0.0179

    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

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 (514,512,1174,511,515)

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 (33163,172530,471981,237519,297213,517605,205467,548058,167694)

45. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (33163,172530,471981,237519,297213,517605,205467,548058,167694)

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. 0.0001

    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. 0.0002

    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 = 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. 0.001

    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. 0.0181

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

55 requetes sql en 0.1228