Service assistante maternelle à 92410 Ville-d'avray

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 CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('92' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92410' AND ville_nom like '%ville%d%avray%' 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 '%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='92410'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.825*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.825*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.19167- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.645135678816 AND ville_latitude_deg<49.004864321184 AND ville_longitude_deg>1.9184694446972 AND ville_longitude_deg<2.4648705553028 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='assistante maternelle'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='39' AND ssrubr_id='941' AND wish_visu IN (1,6,10) AND wish_cp like '92410%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=39

16. 0.0001

    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='92410'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.825*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.825*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.19167- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.645135678816 AND ville_latitude_deg<49.004864321184 AND ville_longitude_deg>1.9184694446972 AND ville_longitude_deg<2.4648705553028 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((48.825*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.825*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.19167- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.375339197041 AND ville_latitude_deg<49.274660802959 AND ville_longitude_deg>1.5086627221176 AND ville_longitude_deg<2.8746772778824 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0011

    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((48.825*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.825*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.19167- 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 ssrubr_id='941' AND wish_visu IN (1,6,10) AND wish_cp IN (92410,92410,92310,92430,92420,92380,92210,92370,78140,78220,92360,92190,78170,92100,78150,78000,92800,92150,78150,92130,92140,78380,78290,92500,78350,78400,78430,92350,92320,78530,78350,92170,92240,92330,92260,92000,78870,92220,78560,92200,92290,91570,78160,92400,92120,92250,78590,78210,78110,78117,91370,78800,91430,78420,78750,78620,91430,91400,78330,94250,78590,78360,78230,92300,92340,94110,92700,78112,78280,94239,94230,94234,94238,94237,94236,94235,94231,94232,94233,94240,78100,92110,92160,92270,92600,75015,75008,75002,75014,75013,75116,75001,75012,75009,75007,75010,75004,75018,75005,75017,75003,75019,75020,75011,75016,75006,75000,95870,78117,91300,94260,91120,91190,78450,94270,94800,78860,78390,91190,78180,94550,93400,78600,78960,78114,78500,91400,91440,94200,94205,78600,78240,94150,92230,95100,91140,78470,91320,78190,91160,78340,78240,94320,78450,95530,92390,93450,78300,94400,91940,91160,91380,78470,91140,93800,95110,91940,91190,78470,94220,94160,93310,91160,94140,78810,93170,95218,95210,93210,93200,93120,93300,91420,78460,93500,94310,94390,91550,95370,95240,91940,94600,78370,95130,94300,94700,78955,95880,78260,93100,78990,78630,93430,91400,95120,78700,93260,93230,91160,91470,95230,78320,94290,91200,78810,94410,95220,95360,78320,95130,91620,91640,78670,78670,93240,78720,78570,91470,91360,78121) 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 (58024,64873,108437,99699,128870,130474,53841,149067)

23. 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 = 58024 AND W.type_id = 1) OR (W.util_id <> 58024 AND W.type_id = 2)) AND (M.post_util_id = 58024 OR M.dest_util_id = 58024) 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=58024 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 = 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 <> ''

26. 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)

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 = 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 <> ''

28. 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)

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 = 99699 AND W.type_id = 1) OR (W.util_id <> 99699 AND W.type_id = 2)) AND (M.post_util_id = 99699 OR M.dest_util_id = 99699) 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=99699 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 = 128870 AND W.type_id = 1) OR (W.util_id <> 128870 AND W.type_id = 2)) AND (M.post_util_id = 128870 OR M.dest_util_id = 128870) 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=128870 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 = 130474 AND W.type_id = 1) OR (W.util_id <> 130474 AND W.type_id = 2)) AND (M.post_util_id = 130474 OR M.dest_util_id = 130474) 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=130474 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 = 53841 AND W.type_id = 1) OR (W.util_id <> 53841 AND W.type_id = 2)) AND (M.post_util_id = 53841 OR M.dest_util_id = 53841) 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=53841 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 = 149067 AND W.type_id = 1) OR (W.util_id <> 149067 AND W.type_id = 2)) AND (M.post_util_id = 149067 OR M.dest_util_id = 149067) 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=149067 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='92410'

40. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.825*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.825*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.19167- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.645135678816 AND ville_latitude_deg<49.004864321184 AND ville_longitude_deg>1.9184694446972 AND ville_longitude_deg<2.4648705553028 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0062

    SELECT ville_cp, ROUND((((acos(sin((48.825*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.825*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.19167- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.375339197041 AND ville_latitude_deg<49.274660802959 AND ville_longitude_deg>1.5086627221176 AND ville_longitude_deg<2.8746772778824 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 (941)

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 (99699,128870,130474,53841,58024,149067,64873,108437)

44. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (99699,128870,130474,53841,58024,149067,64873,108437)

45. 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

46. 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 = 39 AND ss.ssrubr_id <> 941 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

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

48. 0

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

49. 0.0001

    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. 0.0001

    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

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. 0.0236

    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. 0.0166

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

53 requetes sql en 0.0661