Service assistante maternelle à 77380 Combs-la-ville

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='babysitting'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=39

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='77'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='77380' AND ville_nom like '%combs%la%ville%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0006

   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 '%assistante%maternelle%' OR ssrubr_title like '%assistante%maternelle%' OR ssrubr_slug like '%assistante%maternelle%') AND cate_id='39' 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. 0.0004

    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='77380'

12. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.486835678816 AND ville_latitude_deg<48.846564321184 AND ville_longitude_deg>2.2943286664695 AND ville_longitude_deg<2.8390113335305 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='assistante maternelle'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='39'AND MATCH (wish_title,wish_desc) AGAINST ('+assistante maternelle*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '77380%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=39

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='assistante maternelle' OR ssrubr_slug='assistante-maternelle' OR (ssrubr_title like '%assistante maternelle%')) AND cate_id='39' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='assistante-maternelle' AND cate_id='39'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77380'

19. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.486835678816 AND ville_latitude_deg<48.846564321184 AND ville_longitude_deg>2.2943286664695 AND ville_longitude_deg<2.8390113335305 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0097

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.217039197041 AND ville_latitude_deg<49.116360802959 AND ville_longitude_deg>1.8858107950714 AND ville_longitude_deg<3.2475292049286 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0562

    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((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- 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='39' AND MATCH (wish_desc) AGAINST ('(+assistante +maternelle*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (77380,77380,91480,91480,91800,94520,94520,77127,77170,91860,77166,94440,77170,94440,77550,91800,91250,91330,91280,94440,77166,91450,77150,91250,77550,91450,77111,77150,91250,77550,77173,77176,91230,91000,91090,94450,91100,77170,94470,91560,77550,77111,91210,91000,91130,77176,94190,94370,94380,77240,91270,77240,94460,77950,91830,91250,94480,91100,94380,94880,94880,94510,94490,77240,94290,91090,77330,77950,91200,77390,91080,91170,77950,91260,91350,77390,77950,77220,77220,91070,77390,91540,91540,77310,94000,77310,77340,77220,77390,91700,94430,94390,94310,77390,94340,94210,94100,77350,94600,91550,91390,91600,77680,91830,77950,77220,91540,77000,77000,77310,94420,77350,94500,77350,77184,91360,77390,94320,91420,91700,77190,77135,94700,91750,94400,77950,91540,94340,91360,94150,91810,77390,94140,94410,94350,91320,77610,77000,91750,77185,94360,91750,91220,91220,77220,94550,77115,77720,94130,91710,91700,77390,91380,77183,77090,91160,91240,77000,77390,77164,94220) 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 = 64873 AND W.type_id = 1) OR (W.util_id <> 64873 AND W.type_id = 2)) AND (M.post_util_id = 64873 OR M.dest_util_id = 64873) 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=64873 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 = 74052 AND W.type_id = 1) OR (W.util_id <> 74052 AND W.type_id = 2)) AND (M.post_util_id = 74052 OR M.dest_util_id = 74052) 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=74052 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 = 88237 AND W.type_id = 1) OR (W.util_id <> 88237 AND W.type_id = 2)) AND (M.post_util_id = 88237 OR M.dest_util_id = 88237) 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=88237 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 = 108437 AND W.type_id = 1) OR (W.util_id <> 108437 AND W.type_id = 2)) AND (M.post_util_id = 108437 OR M.dest_util_id = 108437) 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=108437 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 = 126352 AND W.type_id = 1) OR (W.util_id <> 126352 AND W.type_id = 2)) AND (M.post_util_id = 126352 OR M.dest_util_id = 126352) 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=126352 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 = 136702 AND W.type_id = 1) OR (W.util_id <> 136702 AND W.type_id = 2)) AND (M.post_util_id = 136702 OR M.dest_util_id = 136702) 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=136702 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 = 124360 AND W.type_id = 1) OR (W.util_id <> 124360 AND W.type_id = 2)) AND (M.post_util_id = 124360 OR M.dest_util_id = 124360) 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=124360 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 = 141935 AND W.type_id = 1) OR (W.util_id <> 141935 AND W.type_id = 2)) AND (M.post_util_id = 141935 OR M.dest_util_id = 141935) 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=141935 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 = 39698 AND W.type_id = 1) OR (W.util_id <> 39698 AND W.type_id = 2)) AND (M.post_util_id = 39698 OR M.dest_util_id = 39698) 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=39698 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 = 172270 AND W.type_id = 1) OR (W.util_id <> 172270 AND W.type_id = 2)) AND (M.post_util_id = 172270 OR M.dest_util_id = 172270) 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=172270 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 = 112194 AND W.type_id = 1) OR (W.util_id <> 112194 AND W.type_id = 2)) AND (M.post_util_id = 112194 OR M.dest_util_id = 112194) 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=112194 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='77380'

45. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.486835678816 AND ville_latitude_deg<48.846564321184 AND ville_longitude_deg>2.2943286664695 AND ville_longitude_deg<2.8390113335305 HAVING distance <= 20 ORDER BY distance ASC

46. 0.0062

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.217039197041 AND ville_latitude_deg<49.116360802959 AND ville_longitude_deg>1.8858107950714 AND ville_longitude_deg<3.2475292049286 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 (939,1031,941,1008)

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 (88237,39698,124360,126352,74052,112194,141935,64873,108437,172270,136702)

49. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (88237,39698,124360,126352,74052,112194,141935,64873,108437,172270,136702)

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=39 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

51. 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='assistante maternelle' OR ssrubr_slug like '%assistante maternelle%' OR MATCH (ssrubr_slug) AGAINST ('(+assistante +maternelle)')) AND sk.ssrubr_id='941' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

52. 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 = 39 AND ss.ssrubr_id <> 941 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

53. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='941' AND actu_niveau=0 ORDER BY actu_ordre DESC

54. 0.0001

    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. 0.0002

    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 (39) ORDER BY ssrubr_order ASC

57. 0.0012

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

58. 0.0357

    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. 0.023

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

59 requetes sql en 0.1455