Service montage meubles à 59920 Quiévrechain

1. 0.0001

   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='3' AND cate_title_slug='bricolage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=50

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('59' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59920' AND ville_nom like '%quievrechain%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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 '%montage%de%meubles%' OR ssrubr_title like '%montage%de%meubles%' OR ssrubr_slug like '%montage%de%meubles%') AND cate_id='50' 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='59920'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.3833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.66667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.203435678816 AND ville_latitude_deg<50.563164321184 AND ville_longitude_deg>3.3845951513181 AND ville_longitude_deg<3.9487448486819 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='montage meuble; montage de meubles; lit cabane'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='50' AND ssrubr_id='600' AND wish_visu IN (1,6,10) AND wish_cp like '59920%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=50

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='montage meuble; montage de meubles; lit cabane' OR ssrubr_slug='montage-meuble;-montage-de-meubles;-lit-cabane' OR (ssrubr_title like '%montage meuble; montage de meubles; lit cabane%')) AND cate_id='50' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='montage-de-meubles' AND cate_id='50'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59920'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((50.3833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.66667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.203435678816 AND ville_latitude_deg<50.563164321184 AND ville_longitude_deg>3.3845951513181 AND ville_longitude_deg<3.9487448486819 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0136

    SELECT ville_cp, ROUND((((acos(sin((50.3833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.66667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.933639197041 AND ville_latitude_deg<50.832960802959 AND ville_longitude_deg>2.9614767973589 AND ville_longitude_deg<4.3718632026411 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0069

    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((50.3833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.66667- 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='3' AND cate_id='50' AND ssrubr_id='600' AND wish_visu IN (1,6,10) AND wish_cp IN (59920,59920,7387,7380,59990,7387,7380,59243,7382,59990,59154,7387,7387,59264,7387,7387,7350,59990,59970,7387,7387,7370,7370,7350,59163,59990,7350,59144,59144,59144,59163,7387,59278,7370,59970,59570,59990,59144,59570,7387,59880,7350,59570,59770,7387,59144,7322,59860,59570,59163,7370,59300,7320,59990,59570,7300,7322,7321,59990,59570,59970,59144,7340,59300,59530,59192,59410,59144,59269,59570,7301,59300,7330,59590,7334,59530,7321,59570,59494,59530,59269,59570,7340,7603,59144,59174,7340,7973,7340,7333,59199,59530,7334,7973,7390,59570,59494,7080,59530,7600,7080,59125,59570,59199,59530,7972,59570,59570,59269,7390,7080,59195,7971,59233,7332,7331,7040,7080,59530,7012,59135,59530,59213,7608,59530,59195,59530,59121,7601,7971,59230,7040,59230,59220,7012,7040,59213,59213,59213,59530,7971,59158,59224,59230,59570,7971,59224,59121,59227,7602,7080,7332,59530,59220,59213,59213,7040,59135,7033,7950,7040,7970,59255,7604,7040,7011,7604,59178,59138,7604,59158,7972,7604) 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 (40485,115789,137478,201026,434228)

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 = 40485 AND W.type_id = 1) OR (W.util_id <> 40485 AND W.type_id = 2)) AND (M.post_util_id = 40485 OR M.dest_util_id = 40485) 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=40485 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 = 115789 AND W.type_id = 1) OR (W.util_id <> 115789 AND W.type_id = 2)) AND (M.post_util_id = 115789 OR M.dest_util_id = 115789) 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=115789 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 = 137478 AND W.type_id = 1) OR (W.util_id <> 137478 AND W.type_id = 2)) AND (M.post_util_id = 137478 OR M.dest_util_id = 137478) 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=137478 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 = 201026 AND W.type_id = 1) OR (W.util_id <> 201026 AND W.type_id = 2)) AND (M.post_util_id = 201026 OR M.dest_util_id = 201026) 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=201026 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 = 434228 AND W.type_id = 1) OR (W.util_id <> 434228 AND W.type_id = 2)) AND (M.post_util_id = 434228 OR M.dest_util_id = 434228) 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=434228 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='59920'

34. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((50.3833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.66667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.203435678816 AND ville_latitude_deg<50.563164321184 AND ville_longitude_deg>3.3845951513181 AND ville_longitude_deg<3.9487448486819 HAVING distance <= 20 ORDER BY distance ASC

35. 0.0134

    SELECT ville_cp, ROUND((((acos(sin((50.3833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.66667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.933639197041 AND ville_latitude_deg<50.832960802959 AND ville_longitude_deg>2.9614767973589 AND ville_longitude_deg<4.3718632026411 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 (600)

37. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (137478,40485,115789,201026,434228)

38. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (137478,40485,115789,201026,434228)

39. 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='montage meuble; montage de meubles; lit cabane' OR ssrubr_slug like '%montage meuble; montage de meubles; lit cabane%' OR MATCH (ssrubr_slug) AGAINST ('(+montage +meuble; +montage +de +meubles; +lit +cabane)')) AND sk.ssrubr_id='600' 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 = 3 AND ss.cate_id = 50 AND ss.ssrubr_id <> 600 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

41. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='600' 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. 0.0002

    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='3' AND cate_cate_id IS NULL ORDER BY cate_order ASC

44. 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 (50) ORDER BY ssrubr_order ASC

45. 0.0009

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

46. 0.0219

    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. 0.0163

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

47 requetes sql en 0.0844