Location parking sécurisé à 91480 Quincy-sous-sénart

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. 0.0001

   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='91480' AND ville_nom like '%quincy%sous%senart%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0009

   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. 0.0004

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%parking%securise%' OR ssrubr_title like '%parking%securise%' OR ssrubr_slug like '%parking%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. 0.0006

    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='91480'

12. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*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>48.486835678816 AND ville_latitude_deg<48.846564321184 AND ville_longitude_deg>2.2609886664695 AND ville_longitude_deg<2.8056713335305 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='parking sécurisé'

14. 0.003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='79' AND ssrubr_id='518' AND wish_visu IN (1,6,10) AND wish_cp like '91480%'

15. 0.0016

    SELECT * FROM texte WHERE cate_id=79

16. 0.003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='parking sécurisé' OR ssrubr_slug='parking-sécurisé' OR (ssrubr_title like '%parking sécurisé%')) 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='parking-securise' AND cate_id='79'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91480'

19. 0.0062

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*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>48.486835678816 AND ville_latitude_deg<48.846564321184 AND ville_longitude_deg>2.2609886664695 AND ville_longitude_deg<2.8056713335305 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0213

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*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>48.217039197041 AND ville_latitude_deg<49.116360802959 AND ville_longitude_deg>1.8524707950714 AND ville_longitude_deg<3.2141892049286 HAVING distance <= 50 ORDER BY distance ASC

21. 0.005

    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((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*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 ssrubr_id='518' AND wish_visu IN (1,6,10) AND wish_cp IN (91480,91480,91800,91860,91480,77380,94520,94520,77127,91800,91250,94440,94440,91330,91280,91450,77170,91450,91250,77170,91230,91090,91000,77550,94440,77166,91250,94450,91560,91100,91210,91000,91130,91270,94470,77176,94190,77150,77550,77166,94480,77150,94460,91170,91100,94380,94370,77111,91260,91350,77173,77550,91200,91080,94290,91090,91250,91830,94380,77176,77240,77170,77550,91070,77240,91700,94880,94880,94490,77240,91540,91540,91550,91600,91390,94510,94390,94310,77950,77111,94000,94600,91360,77330,91540,77950,77310,94430,94340,94210,94100,77310,91420,91700,91830,77950,77340,94320,77950,77390,91360,77390,94400,91540,94150,91320,77220,91810,94700,77350,91750,94500,77220,77310,94420,91220,91220,77350,77680,94140,91700,77390,94340,94550,91160,91380,77220,77390,91240,94410,77390,77184,77350,91750,77000,77000,91710,77950,91160,77190,94260,94350,94360,77220,91750,91310,94220,94130,91610,77135,94800,91630,92160,77185,94238,94239,94237,94236,94235,94233,94232,94231,94230,94240,94234,77950,91160,91620,91300,77390,91160,91310,92340,91310,94200,94205,77000) AND type_id=1 GROUP BY wish_id

22. 0.0003

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (3333,4871,17013,176742,215550)

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 = 3333 AND W.type_id = 1) OR (W.util_id <> 3333 AND W.type_id = 2)) AND (M.post_util_id = 3333 OR M.dest_util_id = 3333) 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=3333 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 = 4871 AND W.type_id = 1) OR (W.util_id <> 4871 AND W.type_id = 2)) AND (M.post_util_id = 4871 OR M.dest_util_id = 4871) 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=4871 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 = 17013 AND W.type_id = 1) OR (W.util_id <> 17013 AND W.type_id = 2)) AND (M.post_util_id = 17013 OR M.dest_util_id = 17013) 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=17013 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 = 176742 AND W.type_id = 1) OR (W.util_id <> 176742 AND W.type_id = 2)) AND (M.post_util_id = 176742 OR M.dest_util_id = 176742) 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=176742 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 = 215550 AND W.type_id = 1) OR (W.util_id <> 215550 AND W.type_id = 2)) AND (M.post_util_id = 215550 OR M.dest_util_id = 215550) 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=215550 AND note_visu IN (1,3,4)

33. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91480'

34. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*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>48.486835678816 AND ville_latitude_deg<48.846564321184 AND ville_longitude_deg>2.2609886664695 AND ville_longitude_deg<2.8056713335305 HAVING distance <= 20 ORDER BY distance ASC

35. 0.0298

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*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>48.217039197041 AND ville_latitude_deg<49.116360802959 AND ville_longitude_deg>1.8524707950714 AND ville_longitude_deg<3.2141892049286 HAVING distance <= 50 ORDER BY distance ASC

36. 0.0023

    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 (518)

37. 0.0005

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (215550,3333,17013,176742,4871)

38. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (215550,3333,17013,176742,4871)

39. 0.0021

    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='parking sécurisé' OR ssrubr_slug like '%parking sécurisé%' OR MATCH (ssrubr_slug) AGAINST ('(+parking +sécurisé)')) AND sk.ssrubr_id='518' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

40. 0.003

    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 <> 518 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

41. 0.0003

    SELECT * FROM actu WHERE ssrubr_id='518' 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. 0.0002

    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

44. 0.001

    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. 0.0017

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

46. 0.0909

    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. 0.0634

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

47 requetes sql en 0.2458