Location box sécurisé à 91620 La ville-du-bois

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='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 CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('91' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91620' AND ville_nom like '%la%ville%du%bois%' 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. 0.0002

   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. 0.0002

   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='91620'

12. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.65*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.65*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.470135678816 AND ville_latitude_deg<48.829864321184 AND ville_longitude_deg>1.9610788747585 AND ville_longitude_deg<2.5055811252415 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

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

14. 0.0003

    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 '91620%'

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='91620'

19. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.65*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.65*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.470135678816 AND ville_latitude_deg<48.829864321184 AND ville_longitude_deg>1.9610788747585 AND ville_longitude_deg<2.5055811252415 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0085

    SELECT ville_cp, ROUND((((acos(sin((48.65*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.65*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.200339197041 AND ville_latitude_deg<49.099660802959 AND ville_longitude_deg>1.5526963177386 AND ville_longitude_deg<2.9139636822614 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0381

    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((48.65*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.65*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- 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 (91620,91620,91460,91620,91310,91310,91140,91310,91160,91310,91160,91700,91240,91940,91180,91140,91940,91160,91680,91640,91360,91400,91220,91640,91220,91380,91440,91160,91120,91340,91290,91520,91360,91700,91290,91190,91940,91680,91400,91390,91600,91420,91630,91640,91430,91630,91430,91650,91300,91700,91640,91190,91470,91400,91630,91650,91470,91350,91630,91170,91790,91570,91190,91530,91370,91630,91650,91260,91070,91320,92160,91550,78470,91470,94260,91080,91730,92290,78117,91000,91470,91130,91730,91910,91810,78350,91210,91470,78117,94150,91530,91200,91470,91580,78460,91270,91090,91710,91730,78350,78530,91770,92350,91510,91510,78830,92340,92330,92260,78114,91530,91540,94480,94550,91850,91450,91090,91000,94290,78460,78470,94390,94310,94231,94232,94233,94234,94236,94237,94238,94230,94235,94239,94240,91760,91540,91230,92370,91580,92140,94320,91530,92320,78140,91580,91450,91540,91580,92220,78220,91410,91540,78960,78830,91560,91100,92360,92190,91610,78280,78720,94110,78000,78470,94190,91580,94600,92310,92130,78720,91250,91590,92240,91100,94400,78720,94800,92120,78180,91750,91410,78720,91250,92410,78730,78730,94250,91280) 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 = 53102 AND W.type_id = 1) OR (W.util_id <> 53102 AND W.type_id = 2)) AND (M.post_util_id = 53102 OR M.dest_util_id = 53102) 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=53102 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 = 104570 AND W.type_id = 1) OR (W.util_id <> 104570 AND W.type_id = 2)) AND (M.post_util_id = 104570 OR M.dest_util_id = 104570) 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=104570 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 = 424797 AND W.type_id = 1) OR (W.util_id <> 424797 AND W.type_id = 2)) AND (M.post_util_id = 424797 OR M.dest_util_id = 424797) 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=424797 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 = 78686 AND W.type_id = 1) OR (W.util_id <> 78686 AND W.type_id = 2)) AND (M.post_util_id = 78686 OR M.dest_util_id = 78686) 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=78686 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 = 477180 AND W.type_id = 1) OR (W.util_id <> 477180 AND W.type_id = 2)) AND (M.post_util_id = 477180 OR M.dest_util_id = 477180) 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=477180 AND note_visu IN (1,3,4)

32. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91620'

33. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.65*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.65*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.470135678816 AND ville_latitude_deg<48.829864321184 AND ville_longitude_deg>1.9610788747585 AND ville_longitude_deg<2.5055811252415 HAVING distance <= 20 ORDER BY distance ASC

34. 0.0061

    SELECT ville_cp, ROUND((((acos(sin((48.65*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.65*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.200339197041 AND ville_latitude_deg<49.099660802959 AND ville_longitude_deg>1.5526963177386 AND ville_longitude_deg<2.9139636822614 HAVING distance <= 50 ORDER BY distance ASC

35. 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 (514,511,509)

36. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (53102,104570,424797,78686,477180)

37. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (53102,104570,424797,78686,477180)

38. 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

39. 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

40. 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

41. 0.0001

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

42. 0.0001

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

43. 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

44. 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

45. 0.0016

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

46. 0.0301

    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'

47. 0.0251

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

47 requetes sql en 0.1205