Service babysitter à 59296 Avesnes-le-sec

1. 0.0001

   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('59' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59296' AND ville_nom like '%avesnes%le%sec%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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 '%babysitter%' OR ssrubr_title like '%babysitter%' OR ssrubr_slug like '%babysitter%') 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. 0.0003

    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='59296'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((50.25*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.25*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.070135678816 AND ville_latitude_deg<50.429864321184 AND ville_longitude_deg>3.1020449735205 AND ville_longitude_deg<3.6646150264795 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='babysitter; babysitting; baby sitting; baby-sitter'

14. 0.0001

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='39' AND ssrubr_id='1031' AND wish_visu IN (1,6,10) AND wish_cp like '59296%'

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='babysitter; babysitting; baby sitting; baby-sitter' OR ssrubr_slug='babysitter;-babysitting;-baby-sitting;-baby-sitter' OR (ssrubr_title like '%babysitter; babysitting; baby sitting; baby-sitter%')) 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='babysitter' AND cate_id='39'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59296'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((50.25*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.25*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.070135678816 AND ville_latitude_deg<50.429864321184 AND ville_longitude_deg>3.1020449735205 AND ville_longitude_deg<3.6646150264795 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0142

    SELECT ville_cp, ROUND((((acos(sin((50.25*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.25*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.800339197041 AND ville_latitude_deg<50.699660802959 AND ville_longitude_deg>2.6801113698918 AND ville_longitude_deg<4.0865486301082 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0071

    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((50.25*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.25*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.38333- 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='1031' AND wish_visu IN (1,6,10) AND wish_cp IN (59296,59296,59198,59111,59282,59188,59188,59141,59227,59227,59111,59282,59129,59293,59111,59277,59172,59141,59224,59188,59295,59295,59224,59111,59227,59141,59292,59156,59294,59172,59161,59121,59252,59213,59121,59233,59252,59400,59220,59161,59220,59217,59214,59124,59213,59220,59161,59252,59269,59125,59730,59213,59213,59247,59554,59215,59161,59400,59217,59730,59255,59217,59730,59554,59195,59730,59247,59213,59265,59213,59730,59300,59580,59195,59268,59271,59157,59554,59171,59157,59135,59247,59554,59234,59269,59174,59540,59400,59580,59135,59171,59540,59217,59400,59234,59269,59265,59300,59171,59165,59400,59179,59400,59530,59530,59494,59400,59494,59490,59990,59730,59234,59990,59218,59218,59265,59300,59410,59265,59540,59400,59265,62860,59540,59267,59218,59490,59360,59770,59176,59554,59218,59590,59554,59191,59530,59225,59191,59990,59870,59192,59530,59169,59176,59870,59127,59151,59880,59281,59980,59530,59151,59530,59530,59990,59400,59222,59222,59144,59860,59178,59191,59225,59258,59870,59159,62860,59146,59182,59287,59990,59870,59169,59360,59241,59267,59182,62860,59980,59258,59530,59530,59360,59169,59870,59980,59287,59222,59530) 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 (132206,299691,381747,366099,493092,516964)

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 = 132206 AND W.type_id = 1) OR (W.util_id <> 132206 AND W.type_id = 2)) AND (M.post_util_id = 132206 OR M.dest_util_id = 132206) 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=132206 AND note_visu IN (1,3,4)

25. 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 = 299691 AND W.type_id = 1) OR (W.util_id <> 299691 AND W.type_id = 2)) AND (M.post_util_id = 299691 OR M.dest_util_id = 299691) 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=299691 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 = 381747 AND W.type_id = 1) OR (W.util_id <> 381747 AND W.type_id = 2)) AND (M.post_util_id = 381747 OR M.dest_util_id = 381747) 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=381747 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 = 366099 AND W.type_id = 1) OR (W.util_id <> 366099 AND W.type_id = 2)) AND (M.post_util_id = 366099 OR M.dest_util_id = 366099) 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=366099 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 = 493092 AND W.type_id = 1) OR (W.util_id <> 493092 AND W.type_id = 2)) AND (M.post_util_id = 493092 OR M.dest_util_id = 493092) 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=493092 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 = 516964 AND W.type_id = 1) OR (W.util_id <> 516964 AND W.type_id = 2)) AND (M.post_util_id = 516964 OR M.dest_util_id = 516964) 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=516964 AND note_visu IN (1,3,4)

35. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59296'

36. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.25*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.25*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.070135678816 AND ville_latitude_deg<50.429864321184 AND ville_longitude_deg>3.1020449735205 AND ville_longitude_deg<3.6646150264795 HAVING distance <= 20 ORDER BY distance ASC

37. 0.0191

    SELECT ville_cp, ROUND((((acos(sin((50.25*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.25*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.800339197041 AND ville_latitude_deg<50.699660802959 AND ville_longitude_deg>2.6801113698918 AND ville_longitude_deg<4.0865486301082 HAVING distance <= 50 ORDER BY distance ASC

38. 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 (1031)

39. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (516964,132206,299691,366099,381747,493092)

40. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (516964,132206,299691,366099,381747,493092)

41. 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='babysitter; babysitting; baby sitting; baby-sitter' OR ssrubr_slug like '%babysitter; babysitting; baby sitting; baby-sitter%' OR MATCH (ssrubr_slug) AGAINST ('(+babysitter; +babysitting; +baby +sitting; +baby-sitter)')) AND sk.ssrubr_id='1031' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

42. 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 <> 1031 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

43. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1031' AND actu_niveau=0 ORDER BY actu_ordre DESC

44. 0.0001

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

45. 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

46. 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

47. 0.0017

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

48. 0.0261

    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'

49. 0.0186

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

49 requetes sql en 0.0997