Service assistante maternelle à 77270 Villeparisis

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. 0.0001

   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='77270' AND ville_nom like '%villeparisis%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0007

   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. 0.0001

   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='77270'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.61667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.753435678816 AND ville_latitude_deg<49.113164321184 AND ville_longitude_deg>2.342877276093 AND ville_longitude_deg<2.890462723907 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 '77270%'

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='77270'

19. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.61667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.753435678816 AND ville_latitude_deg<49.113164321184 AND ville_longitude_deg>2.342877276093 AND ville_longitude_deg<2.890462723907 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0089

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.61667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.483639197041 AND ville_latitude_deg<49.382960802959 AND ville_longitude_deg>1.9321822878414 AND ville_longitude_deg<3.3011577121586 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0599

    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((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.61667- 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 (77270,77270,77181,93470,77410,77181,93410,93290,93370,93190,93390,77410,77290,77177,77500,93270,77410,77410,93420,77400,77410,93600,77360,77400,93340,93320,77410,93220,93460,77290,77410,77400,77400,77186,77420,77990,77200,77400,77230,93160,77230,93250,77400,77400,93360,95700,77600,77600,93330,77600,77450,77185,77230,77990,77600,77410,93140,77183,77090,77230,94350,95380,93150,93700,77410,95500,77144,93110,77144,77700,93130,77410,77600,94170,77230,77230,77450,93000,77184,77230,77165,95500,94360,95500,77410,94120,94420,77230,77450,95380,77230,95500,77700,95380,77164,77165,77165,77230,95380,77165,95190,93230,93260,77450,93350,93440,77600,94130,77230,94500,77340,77680,95140,77450,95470,77700,93100,95400,77450,77135,77450,93500,95720,94300,93170,77700,77230,94430,77450,93310,94510,77124,77230,94340,95470,94340,94100,94210,93240,93120,93300,77280,94880,94880,94410,94490,77165,95380,60330,95190,77860,77100,77122,95720,77124,77100,94160,77700,95400,95200,77580,93380,77174,60128,95670,93210,93200,77330,77124,77860,60950,95470,95190,60330,95440,94380,94370,94220,95350,95360,77860,94000,95850,77178,94700) 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. 0.0002

    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 = 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 <> ''

25. 0.0003

    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)

26. 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 = 238758 AND W.type_id = 1) OR (W.util_id <> 238758 AND W.type_id = 2)) AND (M.post_util_id = 238758 OR M.dest_util_id = 238758) 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=238758 AND note_visu IN (1,3,4)

28. 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 = 250089 AND W.type_id = 1) OR (W.util_id <> 250089 AND W.type_id = 2)) AND (M.post_util_id = 250089 OR M.dest_util_id = 250089) 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=250089 AND note_visu IN (1,3,4)

30. 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 = 379908 AND W.type_id = 1) OR (W.util_id <> 379908 AND W.type_id = 2)) AND (M.post_util_id = 379908 OR M.dest_util_id = 379908) 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=379908 AND note_visu IN (1,3,4)

32. 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 = 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 <> ''

33. 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)

34. 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 = 118922 AND W.type_id = 1) OR (W.util_id <> 118922 AND W.type_id = 2)) AND (M.post_util_id = 118922 OR M.dest_util_id = 118922) 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=118922 AND note_visu IN (1,3,4)

36. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77270'

37. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.61667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.753435678816 AND ville_latitude_deg<49.113164321184 AND ville_longitude_deg>2.342877276093 AND ville_longitude_deg<2.890462723907 HAVING distance <= 20 ORDER BY distance ASC

38. 0.007

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.61667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.483639197041 AND ville_latitude_deg<49.382960802959 AND ville_longitude_deg>1.9321822878414 AND ville_longitude_deg<3.3011577121586 HAVING distance <= 50 ORDER BY distance ASC

39. 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 (941,1031)

40. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (379908,238758,118922,112194,250089,64873,141935)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (379908,238758,118922,112194,250089,64873,141935)

42. 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

43. 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='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

44. 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

45. 0.0001

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

46. 0.0001

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

47. 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

48. 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 (39) ORDER BY ssrubr_order ASC

49. 0.0009

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

50. 0.0295

    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'

51. 0.0231

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

51 requetes sql en 0.1431