Service nettoyage à 91490 Milly-la-forêt

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='menage-repassage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=47

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('91' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91490' AND ville_nom like '%milly%la%foret%' 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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%nettoyage%' OR ssrubr_title like '%nettoyage%' OR ssrubr_slug like '%nettoyage%') AND cate_id='47' 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='91490'

12. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((48.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.253435678816 AND ville_latitude_deg<48.613164321184 AND ville_longitude_deg>2.1955819440717 AND ville_longitude_deg<2.7377580559283 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='nettoyage'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='47'AND MATCH (wish_title,wish_desc) AGAINST ('+nettoyage*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '91490%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=47

16. 0.0001

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='nettoyage' OR ssrubr_slug='nettoyage' OR (ssrubr_title like '%nettoyage%')) AND cate_id='47' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='nettoyage' AND cate_id='47'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91490'

19. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((48.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.253435678816 AND ville_latitude_deg<48.613164321184 AND ville_longitude_deg>2.1955819440717 AND ville_longitude_deg<2.7377580559283 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0048

    SELECT ville_cp, ROUND((((acos(sin((48.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.983639197041 AND ville_latitude_deg<48.882960802959 AND ville_longitude_deg>1.788944016095 AND ville_longitude_deg<3.144395983905 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0491

    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((48.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.46667- 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='47' AND MATCH (wish_desc) AGAINST ('(+nettoyage*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91490,91490,91490,91490,91490,91840,91890,77930,77930,91490,77930,91820,91590,91720,91720,77630,77630,77123,91750,91820,77930,77930,91590,77123,91750,91720,77930,77123,91590,77630,91590,91720,91720,91830,77190,91590,91750,91590,77760,77310,91610,91880,91720,77310,77350,77760,77310,91720,77760,91760,91590,91540,91590,77240,77350,91150,91770,77760,91710,91540,91250,91830,91540,91150,45330,77190,91850,77760,77760,91540,91580,77000,91810,77350,91100,77760,77176,77760,91510,91510,91150,77590,77300,77240,77590,91580,91150,77176,77000,77000,77000,77240,91630,45330,91100,77760,91250,91150,77760,77210,91090,91630,77760,45330,91150,91630,91150,91150,45330) 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 (71011,72451,108330,100604,218713,71897,89962,450315,126661,171904,519457,22423)

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 = 71011 AND W.type_id = 1) OR (W.util_id <> 71011 AND W.type_id = 2)) AND (M.post_util_id = 71011 OR M.dest_util_id = 71011) 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=71011 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 = 72451 AND W.type_id = 1) OR (W.util_id <> 72451 AND W.type_id = 2)) AND (M.post_util_id = 72451 OR M.dest_util_id = 72451) 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=72451 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 = 108330 AND W.type_id = 1) OR (W.util_id <> 108330 AND W.type_id = 2)) AND (M.post_util_id = 108330 OR M.dest_util_id = 108330) 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=108330 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 = 100604 AND W.type_id = 1) OR (W.util_id <> 100604 AND W.type_id = 2)) AND (M.post_util_id = 100604 OR M.dest_util_id = 100604) 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=100604 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 = 218713 AND W.type_id = 1) OR (W.util_id <> 218713 AND W.type_id = 2)) AND (M.post_util_id = 218713 OR M.dest_util_id = 218713) 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=218713 AND note_visu IN (1,3,4)

33. 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 = 71897 AND W.type_id = 1) OR (W.util_id <> 71897 AND W.type_id = 2)) AND (M.post_util_id = 71897 OR M.dest_util_id = 71897) 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=71897 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 = 89962 AND W.type_id = 1) OR (W.util_id <> 89962 AND W.type_id = 2)) AND (M.post_util_id = 89962 OR M.dest_util_id = 89962) 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=89962 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 = 450315 AND W.type_id = 1) OR (W.util_id <> 450315 AND W.type_id = 2)) AND (M.post_util_id = 450315 OR M.dest_util_id = 450315) 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=450315 AND note_visu IN (1,3,4)

39. 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 = 126661 AND W.type_id = 1) OR (W.util_id <> 126661 AND W.type_id = 2)) AND (M.post_util_id = 126661 OR M.dest_util_id = 126661) 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=126661 AND note_visu IN (1,3,4)

41. 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 = 171904 AND W.type_id = 1) OR (W.util_id <> 171904 AND W.type_id = 2)) AND (M.post_util_id = 171904 OR M.dest_util_id = 171904) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=171904 AND note_visu IN (1,3,4)

43. 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 = 519457 AND W.type_id = 1) OR (W.util_id <> 519457 AND W.type_id = 2)) AND (M.post_util_id = 519457 OR M.dest_util_id = 519457) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=519457 AND note_visu IN (1,3,4)

45. 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 = 22423 AND W.type_id = 1) OR (W.util_id <> 22423 AND W.type_id = 2)) AND (M.post_util_id = 22423 OR M.dest_util_id = 22423) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

46. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=22423 AND note_visu IN (1,3,4)

47. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91490'

48. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.253435678816 AND ville_latitude_deg<48.613164321184 AND ville_longitude_deg>2.1955819440717 AND ville_longitude_deg<2.7377580559283 HAVING distance <= 20 ORDER BY distance ASC

49. 0.007

    SELECT ville_cp, ROUND((((acos(sin((48.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.983639197041 AND ville_latitude_deg<48.882960802959 AND ville_longitude_deg>1.788944016095 AND ville_longitude_deg<3.144395983905 HAVING distance <= 50 ORDER BY distance ASC

50. 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 (970,977,1211,1080)

51. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (71897,72451,100604,450315,108330,171904,126661,22423,519457,218713,89962,71011)

52. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (71897,72451,100604,450315,108330,171904,126661,22423,519457,218713,89962,71011)

53. 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='nettoyage' OR ssrubr_slug like '%nettoyage%' OR MATCH (ssrubr_slug) AGAINST ('(+nettoyage)')) AND sk.ssrubr_id='970' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

54. 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 = 3 AND ss.cate_id = 47 AND ss.ssrubr_id <> 970 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

55. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='970' AND actu_niveau=0 ORDER BY actu_ordre DESC

56. 0.0001

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

57. 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

58. 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 (47) ORDER BY ssrubr_order ASC

59. 0.0013

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

60. 0.023

    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'

61. 0.0212

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

61 requetes sql en 0.1177