Service montage meubles à 77820 Châtillon-la-borde

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('77' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='77820' AND ville_nom like '%chatillon%la%borde%' 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 '%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. 0.0003

    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='77820'

12. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.320135678816 AND ville_latitude_deg<48.679864321184 AND ville_longitude_deg>2.5285554261624 AND ville_longitude_deg<3.0714445738376 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 '77820%'

15. 0

    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='77820'

19. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((48.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.320135678816 AND ville_latitude_deg<48.679864321184 AND ville_longitude_deg>2.5285554261624 AND ville_longitude_deg<3.0714445738376 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0048

    SELECT ville_cp, ROUND((((acos(sin((48.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.050339197041 AND ville_latitude_deg<48.949660802959 AND ville_longitude_deg>2.121382713636 AND ville_longitude_deg<3.478617286364 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0068

    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((48.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.8- 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 (77820,77820,77590,77820,77820,77115,77133,77133,77850,77920,77830,77950,77115,77720,77590,77870,77590,77720,77000,77720,77950,77720,77720,77390,77830,77000,77210,77720,77000,77000,77430,77810,77390,77950,77830,77390,77950,77950,77190,77370,77370,77720,77210,77350,77670,77670,77300,77950,77350,77390,77130,77250,77190,77250,77130,77390,77390,77390,77370,77154,77720,77240,77550,77390,77370,77630,77720,77350,77550,77148,77930,77240,77720,77250,77390,77130,77250,77130,77310,77390,77550,77310,77176,77111,77390,77930,77148,77130,77930,77154,77250,77630,77111,77250,77390,77310,77690,77240,77520,77930,77176,77550,77630,77370,77170,77130,77780,77540) 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 (65691,93950,231178,248977,368719,457013,480564,545717)

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 = 65691 AND W.type_id = 1) OR (W.util_id <> 65691 AND W.type_id = 2)) AND (M.post_util_id = 65691 OR M.dest_util_id = 65691) 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=65691 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 = 93950 AND W.type_id = 1) OR (W.util_id <> 93950 AND W.type_id = 2)) AND (M.post_util_id = 93950 OR M.dest_util_id = 93950) 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=93950 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 = 231178 AND W.type_id = 1) OR (W.util_id <> 231178 AND W.type_id = 2)) AND (M.post_util_id = 231178 OR M.dest_util_id = 231178) 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=231178 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 = 248977 AND W.type_id = 1) OR (W.util_id <> 248977 AND W.type_id = 2)) AND (M.post_util_id = 248977 OR M.dest_util_id = 248977) 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=248977 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 = 368719 AND W.type_id = 1) OR (W.util_id <> 368719 AND W.type_id = 2)) AND (M.post_util_id = 368719 OR M.dest_util_id = 368719) 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=368719 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 = 457013 AND W.type_id = 1) OR (W.util_id <> 457013 AND W.type_id = 2)) AND (M.post_util_id = 457013 OR M.dest_util_id = 457013) 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=457013 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 = 480564 AND W.type_id = 1) OR (W.util_id <> 480564 AND W.type_id = 2)) AND (M.post_util_id = 480564 OR M.dest_util_id = 480564) 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=480564 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 = 545717 AND W.type_id = 1) OR (W.util_id <> 545717 AND W.type_id = 2)) AND (M.post_util_id = 545717 OR M.dest_util_id = 545717) 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=545717 AND note_visu IN (1,3,4)

39. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77820'

40. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((48.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.320135678816 AND ville_latitude_deg<48.679864321184 AND ville_longitude_deg>2.5285554261624 AND ville_longitude_deg<3.0714445738376 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0049

    SELECT ville_cp, ROUND((((acos(sin((48.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.050339197041 AND ville_latitude_deg<48.949660802959 AND ville_longitude_deg>2.121382713636 AND ville_longitude_deg<3.478617286364 HAVING distance <= 50 ORDER BY distance ASC

42. 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)

43. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (248977,480564,545717,93950,457013,65691,231178,368719)

44. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (248977,480564,545717,93950,457013,65691,231178,368719)

45. 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

46. 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

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='600' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0.0001

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

49. 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

50. 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

51. 0.0009

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

52. 0.0204

    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'

53. 0.0163

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

53 requetes sql en 0.0644