Location chambres meublées à 93290 Tremblay-en-france

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='chambre-chez-l-habitant'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=193

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('93' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='93290' AND ville_nom like '%tremblay%en%france%' 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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE ssrubr_slug='chambre-meublee' AND cate_id='193' 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='93290'

12. 0.0027

    SELECT ville_cp, ROUND((((acos(sin((48.9562*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9562*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.57639- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.776335678816 AND ville_latitude_deg<49.136064321184 AND ville_longitude_deg>2.3024716078137 AND ville_longitude_deg<2.8503083921863 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='Chambres meublées'

14. 0.0023

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='193' AND ssrubr_id='1087' AND wish_visu IN (1,6,10) AND wish_cp like '93290%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=193

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='meuble; chambre meublee' OR ssrubr_slug='chambre-meublee' OR (ssrubr_title like '%meuble; chambre meublee%')) AND cate_id='193' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='chambre-meublee' AND cate_id='193'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93290'

19. 0.0032

    SELECT ville_cp, ROUND((((acos(sin((48.9562*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9562*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.57639- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.776335678816 AND ville_latitude_deg<49.136064321184 AND ville_longitude_deg>2.3024716078137 AND ville_longitude_deg<2.8503083921863 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0177

    SELECT ville_cp, ROUND((((acos(sin((48.9562*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9562*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.57639- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.506539197041 AND ville_latitude_deg<49.405860802959 AND ville_longitude_deg>1.8915881144339 AND ville_longitude_deg<3.2611918855661 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0027

    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((48.9562*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9562*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.57639- 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='193' AND ssrubr_id='1087' AND wish_visu IN (1,6,10) AND wish_cp IN (93290,93290,93410,93420,77270,93270,77290,93600,77181,93470,93390,93190,77181,93370,95700,77410,77410,77990,93340,93320,77290,77500,95500,77990,93220,95380,77410,77410,77177,95500,77230,77410,77230,93150,93700,95500,93250,93460,93140,95380,77230,95190,95500,95380,77230,93360,95380,77410,93000,77400,77360,93130,93440,95140,77410,93160,77420,93350,77400,95400,93110,93330,77230,95470,77230,77230,95720,77230,77186,77400,77200,77230,94170,77400,93260,93230,77230,77400,94120,94350,95190,77410,77185,77400,95380,93240,95470,77600,77400,93500,94360,93100,95720,77450,77165,93300,93120,77600,77600,95200,95400,77230,77410,77090,77183,95670,93310,77600,94130,77410,93170,93380,95190,77410,77165,94420,95440,94300,77184,77165,77165,77230,60128,95350,77144,77700,95470,94500,95850,77144,93210,93200,77280,77450,77450,77600,95720,95360,60330,95410,95850,93430,77230,95470,94340,77700,95460,77340,77164,77450,94410,60950,95720,95350,95270,94430,92390,60128,93450,94160,95170,77680,94100,94340,94210,95270,95160,77165,95270,95270,77450,77600,93400,60330,95880,77700,94510,77450,77124,94880,94490,94880,94220,95570,93800,77135,95330,77450,77122,60520,95270) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (53539,78479,94266,112043,252401,305075,306389,474006)

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 = 53539 AND W.type_id = 1) OR (W.util_id <> 53539 AND W.type_id = 2)) AND (M.post_util_id = 53539 OR M.dest_util_id = 53539) 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=53539 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 = 78479 AND W.type_id = 1) OR (W.util_id <> 78479 AND W.type_id = 2)) AND (M.post_util_id = 78479 OR M.dest_util_id = 78479) 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=78479 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 = 94266 AND W.type_id = 1) OR (W.util_id <> 94266 AND W.type_id = 2)) AND (M.post_util_id = 94266 OR M.dest_util_id = 94266) 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=94266 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 = 112043 AND W.type_id = 1) OR (W.util_id <> 112043 AND W.type_id = 2)) AND (M.post_util_id = 112043 OR M.dest_util_id = 112043) 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=112043 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 = 252401 AND W.type_id = 1) OR (W.util_id <> 252401 AND W.type_id = 2)) AND (M.post_util_id = 252401 OR M.dest_util_id = 252401) 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=252401 AND note_visu IN (1,3,4)

33. 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 = 305075 AND W.type_id = 1) OR (W.util_id <> 305075 AND W.type_id = 2)) AND (M.post_util_id = 305075 OR M.dest_util_id = 305075) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

34. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=305075 AND note_visu IN (1,3,4)

35. 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 = 306389 AND W.type_id = 1) OR (W.util_id <> 306389 AND W.type_id = 2)) AND (M.post_util_id = 306389 OR M.dest_util_id = 306389) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=306389 AND note_visu IN (1,3,4)

37. 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 = 474006 AND W.type_id = 1) OR (W.util_id <> 474006 AND W.type_id = 2)) AND (M.post_util_id = 474006 OR M.dest_util_id = 474006) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

38. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=474006 AND note_visu IN (1,3,4)

39. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93290'

40. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((48.9562*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9562*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.57639- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.776335678816 AND ville_latitude_deg<49.136064321184 AND ville_longitude_deg>2.3024716078137 AND ville_longitude_deg<2.8503083921863 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0202

    SELECT ville_cp, ROUND((((acos(sin((48.9562*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9562*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.57639- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.506539197041 AND ville_latitude_deg<49.405860802959 AND ville_longitude_deg>1.8915881144339 AND ville_longitude_deg<3.2611918855661 HAVING distance <= 50 ORDER BY distance ASC

42. 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 (1087)

43. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (112043,474006,78479,252401,53539,94266,305075,306389)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (112043,474006,78479,252401,53539,94266,305075,306389)

45. 0.0003

    SELECT ss.ssrubr_id, ss.ssrubr_title, ss.ssrubr_slug, ss.ssrubr_photo, ss.ssrubr_mail, ss.cate_id, ss.fami_id, c.cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=193 AND ss.fami_id=5 ORDER BY ssrubr_order

46. 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='meuble; chambre meublee' OR ssrubr_slug like '%Chambres meublées%' OR MATCH (ssrubr_slug) AGAINST ('(+Chambres +meublées)')) AND sk.ssrubr_id='1087' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

47. 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 = 193 AND ss.ssrubr_id <> 1087 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

48. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1087' AND actu_niveau=0 ORDER BY actu_ordre DESC

49. 0.0001

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

50. 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

51. 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 (193) ORDER BY ssrubr_order ASC

52. 0.0015

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

53. 0.0383

    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'

54. 0.0235

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

54 requetes sql en 0.1221