Location tente réception (barnum) à 35270 Combourg

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 CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('35' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='35270' AND ville_nom like '%combourg%' 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 '%tente%reception%' OR ssrubr_title like '%tente%reception%' OR ssrubr_slug like '%tente%reception%') 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. 0.0002

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='35270'

12. 0.0009

    SELECT ville_cp, ROUND((((acos(sin((38.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((38.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((27.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>38.220135678816 AND ville_latitude_deg<38.579864321184 AND ville_longitude_deg>26.92049110858 AND ville_longitude_deg<27.37950889142 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='tente réception; barnum; chapiteau; barnum; barnum'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='176' AND ssrubr_id='889' AND wish_visu IN (1,6,10) AND wish_cp like '35270%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=176

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='tente réception; barnum; chapiteau; barnum; barnum' OR ssrubr_slug='tente-réception;-barnum;-chapiteau;-barnum;-barnum' OR (ssrubr_title like '%tente réception; barnum; chapiteau; barnum; barnum%')) 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='tente-reception' AND cate_id='176'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='35270'

19. 0.0007

    SELECT ville_cp, ROUND((((acos(sin((38.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((38.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((27.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>38.220135678816 AND ville_latitude_deg<38.579864321184 AND ville_longitude_deg>26.92049110858 AND ville_longitude_deg<27.37950889142 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((38.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((38.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((27.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>37.950339197041 AND ville_latitude_deg<38.849660802959 AND ville_longitude_deg>26.576222823724 AND ville_longitude_deg<27.723777176276 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0055

    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((38.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((38.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((27.15- 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 ssrubr_id='889' AND wish_visu IN (1,6,10) AND wish_cp IN (35270,35270,35210,35230,35250,35280,35080,35240,35190,35700,35390,35130,35900,35750,35755,35260,35290,35730,35160,35090,35840,35220,35535,35530,35580,35600,35370,35380,35070,35040,35330,35415,35410,35040,35510,35520,35540,35550,35560,35570,35590,35575,35030,35130,35060,35890,35320,35050,35395,35640,35040,35040,35040,35040,35580,35470,35473,35473,35470,35390,35040,35040,35620,35040,35390,35040,35580,35470,45750,35790,35040,35470,35390,35650,35140,35100,35150,35110,35180,35120,35860,35860,35730,35130,35040,35040,35390,35890) 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 (218188,192007,258821,259368,418040,468789,499961,524439,415245)

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 = 218188 AND W.type_id = 1) OR (W.util_id <> 218188 AND W.type_id = 2)) AND (M.post_util_id = 218188 OR M.dest_util_id = 218188) 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=218188 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 = 192007 AND W.type_id = 1) OR (W.util_id <> 192007 AND W.type_id = 2)) AND (M.post_util_id = 192007 OR M.dest_util_id = 192007) 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=192007 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 = 258821 AND W.type_id = 1) OR (W.util_id <> 258821 AND W.type_id = 2)) AND (M.post_util_id = 258821 OR M.dest_util_id = 258821) 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=258821 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 = 259368 AND W.type_id = 1) OR (W.util_id <> 259368 AND W.type_id = 2)) AND (M.post_util_id = 259368 OR M.dest_util_id = 259368) 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=259368 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 = 418040 AND W.type_id = 1) OR (W.util_id <> 418040 AND W.type_id = 2)) AND (M.post_util_id = 418040 OR M.dest_util_id = 418040) 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=418040 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 = 468789 AND W.type_id = 1) OR (W.util_id <> 468789 AND W.type_id = 2)) AND (M.post_util_id = 468789 OR M.dest_util_id = 468789) 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=468789 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 = 499961 AND W.type_id = 1) OR (W.util_id <> 499961 AND W.type_id = 2)) AND (M.post_util_id = 499961 OR M.dest_util_id = 499961) 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=499961 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 = 524439 AND W.type_id = 1) OR (W.util_id <> 524439 AND W.type_id = 2)) AND (M.post_util_id = 524439 OR M.dest_util_id = 524439) 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=524439 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 = 415245 AND W.type_id = 1) OR (W.util_id <> 415245 AND W.type_id = 2)) AND (M.post_util_id = 415245 OR M.dest_util_id = 415245) 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=415245 AND note_visu IN (1,3,4)

41. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='35270'

42. 0.0006

    SELECT ville_cp, ROUND((((acos(sin((38.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((38.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((27.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>38.220135678816 AND ville_latitude_deg<38.579864321184 AND ville_longitude_deg>26.92049110858 AND ville_longitude_deg<27.37950889142 HAVING distance <= 20 ORDER BY distance ASC

43. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((38.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((38.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((27.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>37.950339197041 AND ville_latitude_deg<38.849660802959 AND ville_longitude_deg>26.576222823724 AND ville_longitude_deg<27.723777176276 HAVING distance <= 50 ORDER BY distance ASC

44. 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 (889)

45. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (418040,524439,468789,499961,258821,192007,415245,259368,218188)

46. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (418040,524439,468789,499961,258821,192007,415245,259368,218188)

47. 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='tente réception; barnum; chapiteau; barnum; barnum' OR ssrubr_slug like '%tente réception; barnum; chapiteau; barnum; barnum%' OR MATCH (ssrubr_slug) AGAINST ('(+tente +réception; +barnum; +chapiteau; +barnum; +barnum)')) AND sk.ssrubr_id='889' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

48. 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 = 176 AND ss.ssrubr_id <> 889 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

49. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='889' AND actu_niveau=0 ORDER BY actu_ordre DESC

50. 0.0001

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

51. 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

52. 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 (176) ORDER BY ssrubr_order ASC

53. 0.0011

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

54. 0.0222

    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'

55. 0.016

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

55 requetes sql en 0.0571