Location chateau gonflable à 94490 Ormesson-sur-marne

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='salle'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=176

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='94'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='94490' AND ville_nom like '%ormesson%sur%marne%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%chateau%gonflable%' OR ssrubr_title like '%chateau%gonflable%' OR ssrubr_slug like '%chateau%gonflable%') AND cate_id='176' 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. 0.0003

    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='94490'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.603435678816 AND ville_latitude_deg<48.963164321184 AND ville_longitude_deg>2.2770265120265 AND ville_longitude_deg<2.8229734879735 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='gonflable; chateau gonflable'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='176'AND MATCH (wish_title,wish_desc) AGAINST ('+gonflable; chateau gonflable*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '94490%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=176

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='gonflable; chateau gonflable' OR ssrubr_slug='gonflable;-chateau-gonflable' OR (ssrubr_title like '%gonflable; chateau gonflable%')) AND cate_id='176' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='chateau-gonflable' AND cate_id='176'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94490'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.603435678816 AND ville_latitude_deg<48.963164321184 AND ville_longitude_deg>2.2770265120265 AND ville_longitude_deg<2.8229734879735 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0058

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.333639197041 AND ville_latitude_deg<49.232960802959 AND ville_longitude_deg>1.867560395336 AND ville_longitude_deg<3.232439604664 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0519

    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((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.55- 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='176' AND MATCH (wish_desc) AGAINST ('(+gonflable; +chateau +gonflable*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94490,94880,94880,94490,94380,94370,94510,94430,94420,94210,94340,94100,77340,94500,94470,94380,94350,94440,94360,94000,77184,94460,94340,77150,77185,94450,94130,94440,94440,93330,93160,77680,94410,77170,91330,77150,77420,94170,77330,94700,94120,94190,94520,94520,93460,93360,77186,94600,94140,91800,77183,77090,91560,77200,94220,93110,94400,77135,91800,93220,94160,94290,94300,77173,91860,94310,94390,77500,93250,91480,77360,91230,77164,77170,94480,77600,94320,93100,77177,93130,94200,94205,91480,77380,93370,93320,93340,77600,77600,91200,93170,77400,91270,94800,94270,93230,93260,77166,93140,77400,77220,77600,94550,77400,91210,93390,93190,93000,77181,93470,94150,77400,91550,77166,77181,93310,77600,94240,94230,94231,94232,94234,94235,94233,94239,94238,94236,94237,77600,94110,94250,77220,77400,91260,91450,77410,77127,93410,93270,91320,77220,93500,77170,91250,92340,77220,75001,75020,75019,75018,75017,75016,75014,75013,75012,75011,75009,75008,75007,75006,75004,75003,75002,75116,75010,75000,75015,75005,77144,77270,77400,92120,94260,91000,91130,91450,77111,77400,91170,93150,93700,91000,91090,77220,91420,77390,92220,77700,77174,92240,92160,93600,91280,77550,92170,91250,77410,93120,93300,77111,91350,93350,93290,77144,77700,92330,92260,91390,91600,92320) 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 = 84281 AND W.type_id = 1) OR (W.util_id <> 84281 AND W.type_id = 2)) AND (M.post_util_id = 84281 OR M.dest_util_id = 84281) 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=84281 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 = 335437 AND W.type_id = 1) OR (W.util_id <> 335437 AND W.type_id = 2)) AND (M.post_util_id = 335437 OR M.dest_util_id = 335437) 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=335437 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 = 382884 AND W.type_id = 1) OR (W.util_id <> 382884 AND W.type_id = 2)) AND (M.post_util_id = 382884 OR M.dest_util_id = 382884) 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=382884 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 = 112179 AND W.type_id = 1) OR (W.util_id <> 112179 AND W.type_id = 2)) AND (M.post_util_id = 112179 OR M.dest_util_id = 112179) 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=112179 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 = 176940 AND W.type_id = 1) OR (W.util_id <> 176940 AND W.type_id = 2)) AND (M.post_util_id = 176940 OR M.dest_util_id = 176940) 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=176940 AND note_visu IN (1,3,4)

32. 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 = 364231 AND W.type_id = 1) OR (W.util_id <> 364231 AND W.type_id = 2)) AND (M.post_util_id = 364231 OR M.dest_util_id = 364231) 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=364231 AND note_visu IN (1,3,4)

34. 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 = 543149 AND W.type_id = 1) OR (W.util_id <> 543149 AND W.type_id = 2)) AND (M.post_util_id = 543149 OR M.dest_util_id = 543149) 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=543149 AND note_visu IN (1,3,4)

36. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94490'

37. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.603435678816 AND ville_latitude_deg<48.963164321184 AND ville_longitude_deg>2.2770265120265 AND ville_longitude_deg<2.8229734879735 HAVING distance <= 20 ORDER BY distance ASC

38. 0.0058

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.333639197041 AND ville_latitude_deg<49.232960802959 AND ville_longitude_deg>1.867560395336 AND ville_longitude_deg<3.232439604664 HAVING distance <= 50 ORDER BY distance ASC

39. 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 (1149,850)

40. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (335437,364231,543149,84281,112179,382884,176940)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (335437,364231,543149,84281,112179,382884,176940)

42. 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=176 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

43. 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='gonflable; chateau gonflable' OR ssrubr_slug like '%gonflable; chateau gonflable%' OR MATCH (ssrubr_slug) AGAINST ('(+gonflable; +chateau +gonflable)')) AND sk.ssrubr_id='850' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 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 = 176 AND ss.ssrubr_id <> 850 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='850' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0.0001

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

47. 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

48. 0.0003

    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 (176) ORDER BY ssrubr_order ASC

49. 0.0011

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

50. 0.0244

    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'

51. 0.0173

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

51 requetes sql en 0.119