Location matelas de voyage à 59494 Petite-forêt

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='equipement-voyage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=93

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='59'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59494' AND ville_nom like '%petite%foret%' 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 '%matelas%de%voyage%' OR ssrubr_title like '%matelas%de%voyage%' OR ssrubr_slug like '%matelas%de%voyage%') AND cate_id='93' 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='59494'

12. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((50.3667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.186835678816 AND ville_latitude_deg<50.546564321184 AND ville_longitude_deg>3.20135383373 AND ville_longitude_deg<3.76530616627 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='matelas; matelas de voyage'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='93'AND MATCH (wish_title,wish_desc) AGAINST ('+matelas; matelas de voyage*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59494%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=93

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='matelas; matelas de voyage' OR ssrubr_slug='matelas;-matelas-de-voyage' OR (ssrubr_title like '%matelas; matelas de voyage%')) AND cate_id='93' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='matelas-de-voyage' AND cate_id='93'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59494'

19. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.3667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.186835678816 AND ville_latitude_deg<50.546564321184 AND ville_longitude_deg>3.20135383373 AND ville_longitude_deg<3.76530616627 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0193

    SELECT ville_cp, ROUND((((acos(sin((50.3667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.917039197041 AND ville_latitude_deg<50.816360802959 AND ville_longitude_deg>2.778383505516 AND ville_longitude_deg<4.188276494484 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0171

    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((50.3667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.48333- 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='93' AND MATCH (wish_desc) AGAINST ('(+matelas; +matelas +de +voyage*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59494,59494,59410,59494,59590,59174,59192,59195,59135,59860,59300,59195,59880,59770,59300,59220,59125,59135,59220,59121,59300,59255,59121,59233,59224,59220,59990,59278,59990,59230,59171,59990,59264,59269,59178,59990,59224,59178,59269,59243,59970,59124,59970,59282,59990,59970,59171,59156,59144,59269,59227,59199,59213,59213,59199,59158,59163,59282,59990,59230,59171,59293,59990,59870,59178,59870,59226,59178,59172,59179,59230,7387,59154,59144,59920,59530,59230,59530,59213,59213,59215,59163,59198,59870,59230,59144,59490,59111,59296,7387,7380,59144,59172,59870,59158,59163,59227,59227,59111,7387,7380,59158,59144,59530,59870,7387,59213,59213,59158,7350,59226,7608,59111,59530,7387,59490,59294,59690,59310,59530,7320,59144,59580,7382,7620,7623,59730,7603,7387,59310,59188,7622,59570,59580,7600,59530,7387,7350,59188,7387,59252,7624,59530,59111,59870,59870,59165,59530,59310,59530,7604,7621,59730,59252,59252,59141,59146,59176,59310,59295,59295,59570,7370,7322,7601,7321,7370,7321,59530,7350,59570,59188,59218,59129,59218,7620,7620,7604,59144,7620) 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 = 531995 AND W.type_id = 1) OR (W.util_id <> 531995 AND W.type_id = 2)) AND (M.post_util_id = 531995 OR M.dest_util_id = 531995) 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=531995 AND note_visu IN (1,3,4)

24. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59494'

25. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.3667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.186835678816 AND ville_latitude_deg<50.546564321184 AND ville_longitude_deg>3.20135383373 AND ville_longitude_deg<3.76530616627 HAVING distance <= 20 ORDER BY distance ASC

26. 0.0198

    SELECT ville_cp, ROUND((((acos(sin((50.3667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.917039197041 AND ville_latitude_deg<50.816360802959 AND ville_longitude_deg>2.778383505516 AND ville_longitude_deg<4.188276494484 HAVING distance <= 50 ORDER BY distance ASC

27. 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 (916)

28. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (531995)

29. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (531995)

30. 0.0002

    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=93 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

31. 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='matelas; matelas de voyage' OR ssrubr_slug like '%matelas; matelas de voyage%' OR MATCH (ssrubr_slug) AGAINST ('(+matelas; +matelas +de +voyage)')) AND sk.ssrubr_id='916' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

32. 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 = 93 AND ss.ssrubr_id <> 916 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

33. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='916' AND actu_niveau=0 ORDER BY actu_ordre DESC

34. 0.0001

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

35. 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

36. 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 (93) ORDER BY ssrubr_order ASC

37. 0.0016

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

38. 0.0251

    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'

39. 0.0171

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

39 requetes sql en 0.1121