Location parking (résidence) à 77144 Montévrain

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='77144' AND ville_nom like '%montevrain%' 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 '%parking%dans%residence%' OR ssrubr_title like '%parking%dans%residence%' OR ssrubr_slug like '%parking%dans%residence%') 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. 0.0002

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='77144'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.75- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.686835678816 AND ville_latitude_deg<49.046564321184 AND ville_longitude_deg>2.4765718543365 AND ville_longitude_deg<3.0234281456635 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='résidence; parking dans residence'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='79'AND MATCH (wish_title,wish_desc) AGAINST ('+résidence; parking dans residence*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '77144%'

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='résidence; parking dans residence' OR ssrubr_slug='résidence;-parking-dans-residence' OR (ssrubr_title like '%résidence; parking dans residence%')) 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-dans-residence' AND cate_id='79'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77144'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.75- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.686835678816 AND ville_latitude_deg<49.046564321184 AND ville_longitude_deg>2.4765718543365 AND ville_longitude_deg<3.0234281456635 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0065

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.75- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.417039197041 AND ville_latitude_deg<49.316360802959 AND ville_longitude_deg>2.0664237413096 AND ville_longitude_deg<3.4335762586904 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((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.75- 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 ('(+résidence; +parking +dans +residence*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (77144,77144,77600,77700,77400,77144,77400,77600,77400,77700,77400,77600,77600,77600,77450,77400,77700,77400,77700,77400,77600,77450,77164,77410,77450,77700,77450,77174,77450,77183,77090,77360,77580,77410,77860,77200,77410,77174,77450,77135,77177,77860,77186,77450,77410,77410,77410,77450,77680,77860,77185,77580,77580,77500,77420,77410,77181,77184,77100,77220,77580,77410,77270,77580,77100,77124,77410,77610,77330,77163,77340,77410,77100,77181,93470,93460,77410,93160,77124,77580,93370,77470,77163,94420,77165,77220,77220,77165,77165,77580,94350,77230,93410,77163,94510,77580,77124,77610,93390,93190,93220,93330,77290,77610,93290,77124,77290,77470,77220,77230,77165,77470,77515,77580,77230,77610,93360,77150,77470,94490,94880,94880,77470,93320,93340,94360,93270,77230,77122,77150,77173,77230,77470,94500,77580,94170,77580,93250,77910,77220,94430,77230,77165,77610,77910,77610,93420,77515,94380,94370,77470,93600,93110,94120,94100,94210,94340,77515,94130,77990,77910) AND type_id=1 GROUP BY wish_id

22. 0.0004

    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 = 42831 AND W.type_id = 1) OR (W.util_id <> 42831 AND W.type_id = 2)) AND (M.post_util_id = 42831 OR M.dest_util_id = 42831) 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=42831 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 = 123254 AND W.type_id = 1) OR (W.util_id <> 123254 AND W.type_id = 2)) AND (M.post_util_id = 123254 OR M.dest_util_id = 123254) 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=123254 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 = 146679 AND W.type_id = 1) OR (W.util_id <> 146679 AND W.type_id = 2)) AND (M.post_util_id = 146679 OR M.dest_util_id = 146679) 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=146679 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 = 215718 AND W.type_id = 1) OR (W.util_id <> 215718 AND W.type_id = 2)) AND (M.post_util_id = 215718 OR M.dest_util_id = 215718) 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=215718 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 = 341843 AND W.type_id = 1) OR (W.util_id <> 341843 AND W.type_id = 2)) AND (M.post_util_id = 341843 OR M.dest_util_id = 341843) 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=341843 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 = 341936 AND W.type_id = 1) OR (W.util_id <> 341936 AND W.type_id = 2)) AND (M.post_util_id = 341936 OR M.dest_util_id = 341936) 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=341936 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 = 500325 AND W.type_id = 1) OR (W.util_id <> 500325 AND W.type_id = 2)) AND (M.post_util_id = 500325 OR M.dest_util_id = 500325) 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=500325 AND note_visu IN (1,3,4)

36. 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 = 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 ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77144'

39. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.75- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.686835678816 AND ville_latitude_deg<49.046564321184 AND ville_longitude_deg>2.4765718543365 AND ville_longitude_deg<3.0234281456635 HAVING distance <= 20 ORDER BY distance ASC

40. 0.0064

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.75- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.417039197041 AND ville_latitude_deg<49.316360802959 AND ville_longitude_deg>2.0664237413096 AND ville_longitude_deg<3.4335762586904 HAVING distance <= 50 ORDER BY distance ASC

41. 0.0002

    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 (521,523,520,514)

42. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (123254,215718,500325,517605,146679,341936,341843,42831)

43. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (123254,215718,500325,517605,146679,341936,341843,42831)

44. 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

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='résidence; parking dans residence' OR ssrubr_slug like '%résidence; parking dans residence%' OR MATCH (ssrubr_slug) AGAINST ('(+résidence; +parking +dans +residence)')) AND sk.ssrubr_id='520' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 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 <> 520 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='520' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0

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

49. 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

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 (79) ORDER BY ssrubr_order ASC

51. 0.0011

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

52. 0.0221

    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. 0.0164

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

53 requetes sql en 0.0981