Service babysitter à 59310 Orchies

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('59' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59310' AND ville_nom like '%orchies%' 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 '%babysitter%' OR ssrubr_title like '%babysitter%' OR ssrubr_slug like '%babysitter%') 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='59310'

12. 0.001

    SELECT ville_cp, ROUND((((acos(sin((40.7816*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((40.7816*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((27.1076- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.601735678816 AND ville_latitude_deg<40.961464321184 AND ville_longitude_deg>26.870062410187 AND ville_longitude_deg<27.345137589813 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. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='39'AND MATCH (wish_title,wish_desc) AGAINST ('+babysitter; babysitting; baby sitting; baby-sitter*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59310%'

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='59310'

19. 0.0009

    SELECT ville_cp, ROUND((((acos(sin((40.7816*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((40.7816*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((27.1076- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.601735678816 AND ville_latitude_deg<40.961464321184 AND ville_longitude_deg>26.870062410187 AND ville_longitude_deg<27.345137589813 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((40.7816*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((40.7816*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((27.1076- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.331939197041 AND ville_latitude_deg<41.231260802959 AND ville_longitude_deg>26.513750904661 AND ville_longitude_deg<27.701449095339 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0076

    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((40.7816*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((40.7816*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((27.1076- 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 (59310,59310,59300,59300,59300,59800,59300,59800,59300,59300,59300,59800,59300,59320,59800,59000,59800,59300,59800,59800,59800,59800,59800,59800,59800,59800,59000,59300,59800,59300,59800,59300,59300,59300,59000,59800,17360,59000,59300,59300,59800,59300,59800,17360,59800,59300,59300,59300,59300,59000,59000,59560,59800,59300,59800,59800,59000,59300,59000,17360,59570,59300,59000,59800,59800,59300) 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 (37775,51871,62907,86395,138500,175268,336056,337330,224606,384471,290190,366099,306699,477398)

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 = 37775 AND W.type_id = 1) OR (W.util_id <> 37775 AND W.type_id = 2)) AND (M.post_util_id = 37775 OR M.dest_util_id = 37775) 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=37775 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 = 51871 AND W.type_id = 1) OR (W.util_id <> 51871 AND W.type_id = 2)) AND (M.post_util_id = 51871 OR M.dest_util_id = 51871) 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=51871 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 = 62907 AND W.type_id = 1) OR (W.util_id <> 62907 AND W.type_id = 2)) AND (M.post_util_id = 62907 OR M.dest_util_id = 62907) 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=62907 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 = 86395 AND W.type_id = 1) OR (W.util_id <> 86395 AND W.type_id = 2)) AND (M.post_util_id = 86395 OR M.dest_util_id = 86395) 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=86395 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 = 138500 AND W.type_id = 1) OR (W.util_id <> 138500 AND W.type_id = 2)) AND (M.post_util_id = 138500 OR M.dest_util_id = 138500) 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=138500 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 = 175268 AND W.type_id = 1) OR (W.util_id <> 175268 AND W.type_id = 2)) AND (M.post_util_id = 175268 OR M.dest_util_id = 175268) 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=175268 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 = 336056 AND W.type_id = 1) OR (W.util_id <> 336056 AND W.type_id = 2)) AND (M.post_util_id = 336056 OR M.dest_util_id = 336056) 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=336056 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 = 337330 AND W.type_id = 1) OR (W.util_id <> 337330 AND W.type_id = 2)) AND (M.post_util_id = 337330 OR M.dest_util_id = 337330) 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=337330 AND note_visu IN (1,3,4)

39. 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 = 224606 AND W.type_id = 1) OR (W.util_id <> 224606 AND W.type_id = 2)) AND (M.post_util_id = 224606 OR M.dest_util_id = 224606) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=224606 AND note_visu IN (1,3,4)

41. 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 = 384471 AND W.type_id = 1) OR (W.util_id <> 384471 AND W.type_id = 2)) AND (M.post_util_id = 384471 OR M.dest_util_id = 384471) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=384471 AND note_visu IN (1,3,4)

43. 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 = 290190 AND W.type_id = 1) OR (W.util_id <> 290190 AND W.type_id = 2)) AND (M.post_util_id = 290190 OR M.dest_util_id = 290190) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=290190 AND note_visu IN (1,3,4)

45. 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 <> ''

46. 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)

47. 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 = 306699 AND W.type_id = 1) OR (W.util_id <> 306699 AND W.type_id = 2)) AND (M.post_util_id = 306699 OR M.dest_util_id = 306699) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

48. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=306699 AND note_visu IN (1,3,4)

49. 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 = 477398 AND W.type_id = 1) OR (W.util_id <> 477398 AND W.type_id = 2)) AND (M.post_util_id = 477398 OR M.dest_util_id = 477398) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

50. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=477398 AND note_visu IN (1,3,4)

51. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59310'

52. 0.0007

    SELECT ville_cp, ROUND((((acos(sin((40.7816*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((40.7816*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((27.1076- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.601735678816 AND ville_latitude_deg<40.961464321184 AND ville_longitude_deg>26.870062410187 AND ville_longitude_deg<27.345137589813 HAVING distance <= 20 ORDER BY distance ASC

53. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((40.7816*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((40.7816*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((27.1076- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.331939197041 AND ville_latitude_deg<41.231260802959 AND ville_longitude_deg>26.513750904661 AND ville_longitude_deg<27.701449095339 HAVING distance <= 50 ORDER BY distance ASC

54. 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)

55. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (366099,86395,290190,384471,224606,138500,37775,477398,337330,336056,175268,62907,51871,306699)

56. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (366099,86395,290190,384471,224606,138500,37775,477398,337330,336056,175268,62907,51871,306699)

57. 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

58. 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

59. 0.0001

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

60. 0.0001

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

61. 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

62. 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

63. 0.0011

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

64. 0.0251

    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'

65. 0.0169

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

65 requetes sql en 0.0644