Location logement contre service à 91940 Ulis

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('91' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91940' AND ville_nom like '%ulis%' 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 '%logement%contre%service%' OR ssrubr_title like '%logement%contre%service%' OR ssrubr_slug like '%logement%contre%service%') AND cate_id='193' 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. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='91940'

12. 0.0022

    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(((2.16667- 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>1.8943286664695 AND ville_longitude_deg<2.4390113335305 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='contre service; logement contre service'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='193'AND MATCH (wish_title,wish_desc) AGAINST ('+contre service; logement contre service*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '91940%'

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='contre service; logement contre service' OR ssrubr_slug='contre-service;-logement-contre-service' OR (ssrubr_title like '%contre service; logement contre service%')) 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='logement-contre-service' AND cate_id='193'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91940'

19. 0.0019

    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(((2.16667- 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>1.8943286664695 AND ville_longitude_deg<2.4390113335305 HAVING distance <= 20 ORDER BY distance ASC

20. 0.006

    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(((2.16667- 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>1.4858107950714 AND ville_longitude_deg<2.8475292049286 HAVING distance <= 50 ORDER BY distance ASC

21. 0.019

    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(((2.16667- 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 MATCH (wish_desc) AGAINST ('(+contre +service; +logement +contre +service*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91940,91940,91940,91640,91940,91190,91400,91440,91400,91140,91620,91640,91190,91460,91470,91190,91640,91140,78470,91470,91470,91400,91680,91160,91620,91430,91680,91160,91310,91310,91430,91310,91120,91640,91160,91470,91470,78117,78460,91310,91180,91570,78117,91340,91520,91530,91700,78114,91380,91160,91240,91360,91290,91650,78350,78460,91650,78830,78470,91300,78350,78530,91370,91290,91470,91650,91360,91220,91220,78960,91630,78720,91420,91700,78470,78280,92290,91530,91630,78830,91390,91600,92160,91530,91790,78720,78720,91320,94260,78720,78180,91410,78220,91630,78140,91580,91910,91730,92350,91630,92370,78000,91700,92260,92330,91730,91630,91550,91170,91260,91350,91530,92340,94150,78720,78730,78730,78320,78210,92140,92360,92190,78320,91070,92310,91730,91580,92320,94550,92410,92220,91410,94237,94230,94231,94232,94233,94234,94235,94240,94236,94238,78190,94239,78150,91200,91080,92130,91510,91510,78320,91810,91210,91130,91000,78390,91410,92420,92430,91580,91580,91270,78330,78150,94480,94110,91770,92240,91850,94320,94390,94310,92380,92100,91710,94290,92210,91090,78120,92120) 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 (165025,285115,302190,379451,405260,419710,448352,415349,496366,505436)

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 = 165025 AND W.type_id = 1) OR (W.util_id <> 165025 AND W.type_id = 2)) AND (M.post_util_id = 165025 OR M.dest_util_id = 165025) 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=165025 AND note_visu IN (1,3,4)

25. 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 = 285115 AND W.type_id = 1) OR (W.util_id <> 285115 AND W.type_id = 2)) AND (M.post_util_id = 285115 OR M.dest_util_id = 285115) 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=285115 AND note_visu IN (1,3,4)

27. 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 = 302190 AND W.type_id = 1) OR (W.util_id <> 302190 AND W.type_id = 2)) AND (M.post_util_id = 302190 OR M.dest_util_id = 302190) 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=302190 AND note_visu IN (1,3,4)

29. 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 = 379451 AND W.type_id = 1) OR (W.util_id <> 379451 AND W.type_id = 2)) AND (M.post_util_id = 379451 OR M.dest_util_id = 379451) 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=379451 AND note_visu IN (1,3,4)

31. 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 = 405260 AND W.type_id = 1) OR (W.util_id <> 405260 AND W.type_id = 2)) AND (M.post_util_id = 405260 OR M.dest_util_id = 405260) 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=405260 AND note_visu IN (1,3,4)

33. 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 = 419710 AND W.type_id = 1) OR (W.util_id <> 419710 AND W.type_id = 2)) AND (M.post_util_id = 419710 OR M.dest_util_id = 419710) 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=419710 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 = 448352 AND W.type_id = 1) OR (W.util_id <> 448352 AND W.type_id = 2)) AND (M.post_util_id = 448352 OR M.dest_util_id = 448352) 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=448352 AND note_visu IN (1,3,4)

37. 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 = 415349 AND W.type_id = 1) OR (W.util_id <> 415349 AND W.type_id = 2)) AND (M.post_util_id = 415349 OR M.dest_util_id = 415349) 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=415349 AND note_visu IN (1,3,4)

39. 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 = 496366 AND W.type_id = 1) OR (W.util_id <> 496366 AND W.type_id = 2)) AND (M.post_util_id = 496366 OR M.dest_util_id = 496366) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=496366 AND note_visu IN (1,3,4)

41. 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 = 505436 AND W.type_id = 1) OR (W.util_id <> 505436 AND W.type_id = 2)) AND (M.post_util_id = 505436 OR M.dest_util_id = 505436) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=505436 AND note_visu IN (1,3,4)

43. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91940'

44. 0.0017

    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(((2.16667- 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>1.8943286664695 AND ville_longitude_deg<2.4390113335305 HAVING distance <= 20 ORDER BY distance ASC

45. 0.006

    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(((2.16667- 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>1.4858107950714 AND ville_longitude_deg<2.8475292049286 HAVING distance <= 50 ORDER BY distance ASC

46. 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 (506)

47. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (379451,165025,419710,285115,448352,496366,302190,415349,405260,505436)

48. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (379451,165025,419710,285115,448352,496366,302190,415349,405260,505436)

49. 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='contre service; logement contre service' OR ssrubr_slug like '%contre service; logement contre service%' OR MATCH (ssrubr_slug) AGAINST ('(+contre +service; +logement +contre +service)')) AND sk.ssrubr_id='506' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

50. 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 <> 506 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

51. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='506' AND actu_niveau=0 ORDER BY actu_ordre DESC

52. 0.0001

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

53. 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

54. 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

55. 0.0011

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

56. 0.0225

    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'

57. 0.0169

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

57 requetes sql en 0.0836