Service cap petite enfance à 77164 Ferrières-en-brie

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('77' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='77164' AND ville_nom like '%ferrieres%en%brie%' 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 '%cap%petite%enfance%' OR ssrubr_title like '%cap%petite%enfance%' OR ssrubr_slug like '%cap%petite%enfance%') 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. 0.0002

    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='77164'

12. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.8214*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8214*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.70472- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.641535678816 AND ville_latitude_deg<49.001264321184 AND ville_longitude_deg>2.4315390682378 AND ville_longitude_deg<2.9779009317622 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='cap petite enfance'

14. 0.0001

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='39' AND ssrubr_id='940' AND wish_visu IN (1,6,10) AND wish_cp like '77164%'

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='cap petite enfance' OR ssrubr_slug='cap-petite-enfance' OR (ssrubr_title like '%cap petite enfance%')) 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='cap-petite-enfance' AND cate_id='39'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77164'

19. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.8214*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8214*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.70472- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.641535678816 AND ville_latitude_deg<49.001264321184 AND ville_longitude_deg>2.4315390682378 AND ville_longitude_deg<2.9779009317622 HAVING distance <= 20 ORDER BY distance ASC

20. 0.006

    SELECT ville_cp, ROUND((((acos(sin((48.8214*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8214*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.70472- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.371739197041 AND ville_latitude_deg<49.271060802959 AND ville_longitude_deg>2.0217617813923 AND ville_longitude_deg<3.3876782186077 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((48.8214*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8214*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.70472- 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='940' AND wish_visu IN (1,6,10) AND wish_cp IN (77164,77164,77135,77183,77090,77600,77600,77600,77600,77600,77600,77680,77400,77400,77200,77400,77144,77186,77360,77184,77700,77185,77330,77400,77174,77400,77400,77340,77144,77700,77420,77700,77220,77177,77400,77174,77700,94510,77220,94420,77500,77450,93160,77410,77220,77150,77700,77610,93460,77410,94350,77450,77450,77150,77580,77173,77450,94880,94490,94880,77220,77181,77410,77860,77450,93330,93370,77610,77860,77410,94500,93470,77181,94360,94370,94380,94430,77270,77450,77220,77610,77410,93220,77170,93360,77450,94440,77580,77580,94100,94340,94210,94170,77580,77410,94440,93190,93390,77163,77166,77390,77860,77610,94470,77450,93410,77163,77410,94130,93320,93340,77610,77410,93250,94120,77170,77163,77410,93110,77580,94440,77100,77170,94380,94340,77610,94520,94520,93270,93290,94000,77610,77410,94410,77124,77100,93130,77580,77410,77100,94450,91330,77111,77111,77290,91480,94460,77166,77580,77515,93140,77390,77124,77470,91800,93600,77230,77580,77380,77580) 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 (57152,73782,135036,153091,155865,256637,448393,508895)

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 = 57152 AND W.type_id = 1) OR (W.util_id <> 57152 AND W.type_id = 2)) AND (M.post_util_id = 57152 OR M.dest_util_id = 57152) 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=57152 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 = 73782 AND W.type_id = 1) OR (W.util_id <> 73782 AND W.type_id = 2)) AND (M.post_util_id = 73782 OR M.dest_util_id = 73782) 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=73782 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 = 135036 AND W.type_id = 1) OR (W.util_id <> 135036 AND W.type_id = 2)) AND (M.post_util_id = 135036 OR M.dest_util_id = 135036) 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=135036 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 = 153091 AND W.type_id = 1) OR (W.util_id <> 153091 AND W.type_id = 2)) AND (M.post_util_id = 153091 OR M.dest_util_id = 153091) 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=153091 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 = 155865 AND W.type_id = 1) OR (W.util_id <> 155865 AND W.type_id = 2)) AND (M.post_util_id = 155865 OR M.dest_util_id = 155865) 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=155865 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 = 256637 AND W.type_id = 1) OR (W.util_id <> 256637 AND W.type_id = 2)) AND (M.post_util_id = 256637 OR M.dest_util_id = 256637) 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=256637 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 = 448393 AND W.type_id = 1) OR (W.util_id <> 448393 AND W.type_id = 2)) AND (M.post_util_id = 448393 OR M.dest_util_id = 448393) 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=448393 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 = 508895 AND W.type_id = 1) OR (W.util_id <> 508895 AND W.type_id = 2)) AND (M.post_util_id = 508895 OR M.dest_util_id = 508895) 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=508895 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='77164'

40. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((48.8214*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8214*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.70472- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.641535678816 AND ville_latitude_deg<49.001264321184 AND ville_longitude_deg>2.4315390682378 AND ville_longitude_deg<2.9779009317622 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0059

    SELECT ville_cp, ROUND((((acos(sin((48.8214*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8214*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.70472- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.371739197041 AND ville_latitude_deg<49.271060802959 AND ville_longitude_deg>2.0217617813923 AND ville_longitude_deg<3.3876782186077 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 (940)

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 (256637,153091,448393,155865,508895,57152,135036,73782)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (256637,153091,448393,155865,508895,57152,135036,73782)

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='cap petite enfance' OR ssrubr_slug like '%cap petite enfance%' OR MATCH (ssrubr_slug) AGAINST ('(+cap +petite +enfance)')) AND sk.ssrubr_id='940' 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 <> 940 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='940' 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. 0.0002

    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

50. 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

51. 0.0011

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

52. 0.0213

    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. 0.016

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

53 requetes sql en 0.062