Location tente réception (barnum) à 14790 Mouen

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

   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('14' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='14790' AND ville_nom like '%mouen%' 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. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='14790'

12. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((49.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.483333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.970135678816 AND ville_latitude_deg<49.329864321184 AND ville_longitude_deg>-0.7583213090605 AND ville_longitude_deg<-0.2083446909395 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. 0.0014

    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 '14790%'

15. 0.0003

    SELECT * FROM texte WHERE cate_id=176

16. 0.0011

    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. 0.0007

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='tente-reception' AND cate_id='176'

18. 0.0003

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='14790'

19. 0.0066

    SELECT ville_cp, ROUND((((acos(sin((49.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.483333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.970135678816 AND ville_latitude_deg<49.329864321184 AND ville_longitude_deg>-0.7583213090605 AND ville_longitude_deg<-0.2083446909395 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0193

    SELECT ville_cp, ROUND((((acos(sin((49.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.483333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.700339197041 AND ville_latitude_deg<49.599660802959 AND ville_longitude_deg>-1.1708097008168 AND ville_longitude_deg<0.20414370081681 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((49.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.483333- 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 (14790,14790,14210,14210,14790,14790,14210,14210,14930,14740,14210,14210,14650,14210,14210,14930,14760,14210,14210,14210,14210,14280,14930,14320,14280,14740,14250,14123,14210,14740,14250,14111,14980,14210,14210,14320,14210,14740,14250,14210,14250,14310,14320,14310,14740,14740,14740,14320,14250,14280,14250,14123,14250,14320,14250,14250,14000,14320,14310,14740,14220,14250,14260,14610,14210,14123,14320,14210,14610,14310,14610,14220,14210,14480,14610,14250,14220,14210,14250,14310,14250,14310,14120,14540,14740,14680,14480,14220,14480,14210,14250,14610,14210,14480,14480,14610,14260,14200,14540,14540,14250,14540,14540,14610,14220,14740,14920,14260,14310,14400,14610,14460,14310,14540,14112,14220,14260,14730,14220,14610,14440,14480,14480,14480,14250,14400,14540,14310,14680,14610,14250,14480,14840,14840,14400,14112,14260,14550,14250,14440,14260,14480,14240,14470,14220,14480,14400,14630,14400,14400,14310,14220,14240,14220,14310,14540,14630,14440,14440,14220,14240,14480,14220,14400,14970,14680,14260,14850,14310,14220,14480,14400,14680,14190,14480,14490,14880,14480,14220,14530,14860,14630,14970,14370,14220,14260,14850,14540,14940,14940,14940,14370,14260,14880) 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 (331827,408683,421233,343306,508061)

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 = 331827 AND W.type_id = 1) OR (W.util_id <> 331827 AND W.type_id = 2)) AND (M.post_util_id = 331827 OR M.dest_util_id = 331827) 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=331827 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 = 408683 AND W.type_id = 1) OR (W.util_id <> 408683 AND W.type_id = 2)) AND (M.post_util_id = 408683 OR M.dest_util_id = 408683) 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=408683 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 = 421233 AND W.type_id = 1) OR (W.util_id <> 421233 AND W.type_id = 2)) AND (M.post_util_id = 421233 OR M.dest_util_id = 421233) 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=421233 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 = 343306 AND W.type_id = 1) OR (W.util_id <> 343306 AND W.type_id = 2)) AND (M.post_util_id = 343306 OR M.dest_util_id = 343306) 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=343306 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 = 508061 AND W.type_id = 1) OR (W.util_id <> 508061 AND W.type_id = 2)) AND (M.post_util_id = 508061 OR M.dest_util_id = 508061) 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=508061 AND note_visu IN (1,3,4)

33. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='14790'

34. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((49.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.483333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.970135678816 AND ville_latitude_deg<49.329864321184 AND ville_longitude_deg>-0.7583213090605 AND ville_longitude_deg<-0.2083446909395 HAVING distance <= 20 ORDER BY distance ASC

35. 0.0193

    SELECT ville_cp, ROUND((((acos(sin((49.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.483333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.700339197041 AND ville_latitude_deg<49.599660802959 AND ville_longitude_deg>-1.1708097008168 AND ville_longitude_deg<0.20414370081681 HAVING distance <= 50 ORDER BY distance ASC

36. 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)

37. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (508061,331827,408683,421233,343306)

38. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (508061,331827,408683,421233,343306)

39. 0.0003

    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

40. 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

41. 0.0001

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

42. 0.0001

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

43. 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

44. 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

45. 0.0017

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

46. 0.0284

    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'

47. 0.0183

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

47 requetes sql en 0.1131