Service nettoyage à 59194 Râches

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='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. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='59'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59194' AND ville_nom like '%raches%' 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 '%nettoyage%' OR ssrubr_title like '%nettoyage%' OR ssrubr_slug like '%nettoyage%') AND cate_id='47' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   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='59194'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.220135678816 AND ville_latitude_deg<50.579864321184 AND ville_longitude_deg>2.867825780804 AND ville_longitude_deg<3.432174219196 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='nettoyage'

14. 0.0001

    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 '59194%'

15. 0

    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='59194'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.220135678816 AND ville_latitude_deg<50.579864321184 AND ville_longitude_deg>2.867825780804 AND ville_longitude_deg<3.432174219196 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0135

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.950339197041 AND ville_latitude_deg<50.849660802959 AND ville_longitude_deg>2.4445583689314 AND ville_longitude_deg<3.8554416310686 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0506

    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((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.15- 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 (59194,59194,59194,59167,59119,59148,59450,59182,59146,59286,59287,59182,59287,59870,59283,59187,59176,59310,59500,62790,59128,59283,59176,59553,59950,59553,59169,59310,59552,59870,59490,59870,59552,62141,59235,59169,59870,59246,59310,59169,59165,62970,59310,59169,59162,59490,59553,62112,59580,59151,59179,59234,59169,59710,59239,59580,62112,59310,59870,62950,62117,59234,59551,62490,59870,62119,59171,59261,62490,59151,59215,59242,59870,59310,59239,62490,59710,59310,62820,59151,59234,59178,59171,59151,62590,62490,59310,59230,59178,62490,59551,59252,59710,59265,59242,59151,59230,62860,59252,62490,59172,62110,59710,59242,59247,62640,59171,59310,59690,62220,59124,59133,59310,62710,62320,59178,62320,59273,59265,62490,62860,59226,62740,59156,59252,59259,59830,59247,62118,59172,62490,62580,59133,59111,59111,59830,62860,59247,62860,62420,62320,7611,62118,59178,62880,59135,59220,62860,62156,59293,59112,62440,59273,59255,59113,59830,62860,62860,7624,62860,62860,59147,62156,59111,62320,59830,59265,59295,59295,62156,59226,62580,59175,59554,62580,59175,59830,62118,59282) 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 = 52241 AND W.type_id = 1) OR (W.util_id <> 52241 AND W.type_id = 2)) AND (M.post_util_id = 52241 OR M.dest_util_id = 52241) 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=52241 AND note_visu IN (1,3,4)

24. 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 = 94174 AND W.type_id = 1) OR (W.util_id <> 94174 AND W.type_id = 2)) AND (M.post_util_id = 94174 OR M.dest_util_id = 94174) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=94174 AND note_visu IN (1,3,4)

26. 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 = 100996 AND W.type_id = 1) OR (W.util_id <> 100996 AND W.type_id = 2)) AND (M.post_util_id = 100996 OR M.dest_util_id = 100996) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=100996 AND note_visu IN (1,3,4)

28. 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 = 134235 AND W.type_id = 1) OR (W.util_id <> 134235 AND W.type_id = 2)) AND (M.post_util_id = 134235 OR M.dest_util_id = 134235) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=134235 AND note_visu IN (1,3,4)

30. 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 = 235021 AND W.type_id = 1) OR (W.util_id <> 235021 AND W.type_id = 2)) AND (M.post_util_id = 235021 OR M.dest_util_id = 235021) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=235021 AND note_visu IN (1,3,4)

32. 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 = 300515 AND W.type_id = 1) OR (W.util_id <> 300515 AND W.type_id = 2)) AND (M.post_util_id = 300515 OR M.dest_util_id = 300515) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=300515 AND note_visu IN (1,3,4)

34. 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 = 118085 AND W.type_id = 1) OR (W.util_id <> 118085 AND W.type_id = 2)) AND (M.post_util_id = 118085 OR M.dest_util_id = 118085) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=118085 AND note_visu IN (1,3,4)

36. 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 = 355363 AND W.type_id = 1) OR (W.util_id <> 355363 AND W.type_id = 2)) AND (M.post_util_id = 355363 OR M.dest_util_id = 355363) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=355363 AND note_visu IN (1,3,4)

38. 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 = 375587 AND W.type_id = 1) OR (W.util_id <> 375587 AND W.type_id = 2)) AND (M.post_util_id = 375587 OR M.dest_util_id = 375587) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

39. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=375587 AND note_visu IN (1,3,4)

40. 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 = 493705 AND W.type_id = 1) OR (W.util_id <> 493705 AND W.type_id = 2)) AND (M.post_util_id = 493705 OR M.dest_util_id = 493705) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

41. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=493705 AND note_visu IN (1,3,4)

42. 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 = 523940 AND W.type_id = 1) OR (W.util_id <> 523940 AND W.type_id = 2)) AND (M.post_util_id = 523940 OR M.dest_util_id = 523940) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

43. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=523940 AND note_visu IN (1,3,4)

44. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59194'

45. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.220135678816 AND ville_latitude_deg<50.579864321184 AND ville_longitude_deg>2.867825780804 AND ville_longitude_deg<3.432174219196 HAVING distance <= 20 ORDER BY distance ASC

46. 0.0136

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.950339197041 AND ville_latitude_deg<50.849660802959 AND ville_longitude_deg>2.4445583689314 AND ville_longitude_deg<3.8554416310686 HAVING distance <= 50 ORDER BY distance ASC

47. 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 (970,937,1080)

48. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (375587,134235,355363,118085,493705,100996,94174,300515,52241,523940,235021)

49. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (375587,134235,355363,118085,493705,100996,94174,300515,52241,523940,235021)

50. 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=47 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

51. 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

52. 0.0001

    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

53. 0.0001

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

54. 0

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

55. 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

56. 0.0001

    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

57. 0.0009

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

58. 0.0222

    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'

59. 0.0173

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

59 requetes sql en 0.1305