Service babysitter à 62740 Fouquières-lès-lens

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('62' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='62740' AND ville_nom like '%fouquieres%les%lens%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0006

   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='62740'

12. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((50.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.253435678816 AND ville_latitude_deg<50.613164321184 AND ville_longitude_deg>2.6342973540188 AND ville_longitude_deg<3.1990426459812 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. 0.0002

    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 '62740%'

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='62740'

19. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((50.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.253435678816 AND ville_latitude_deg<50.613164321184 AND ville_longitude_deg>2.6342973540188 AND ville_longitude_deg<3.1990426459812 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0151

    SELECT ville_cp, ROUND((((acos(sin((50.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.983639197041 AND ville_latitude_deg<50.882960802959 AND ville_longitude_deg>2.2107322976908 AND ville_longitude_deg<3.6226077023092 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0067

    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((50.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.91667- 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 (62740,62740,62640,62420,62110,62440,62710,62218,62221,62880,62430,62880,62880,62119,62950,62680,62880,62320,62320,62320,62300,62590,62320,62220,62210,62410,62300,62970,62580,62490,62410,62410,62580,62141,59162,62490,62410,62820,62580,59185,62580,59221,62750,59950,59112,62138,59261,59128,62580,59553,59133,62580,62790,62800,59239,59553,59553,62580,62138,59112,62490,59251,62580,59133,59496,59283,59286,62143,59283,62580,59239,59147,62580,62490,62580,62138,59496,59500,59272,59184,62153,62160,62117,59552,59551,62138,59147,59274,59147,59480,59551,59552,62580,59246,62980,62160,62138,62112,62118,59136,62149,62149,62118,62118,62118,62980,59119,62153,62118,59134,62490,59113,62223,59169,59194,62160,62149,59134,62670,59310,62223,59263,59480,62149,59710,59450,62223,62112,59710,62144,62114,62118,59134,59710,59187,59194,62223,62113,62113,62223,59235,62223,62490,62840,59175,62490,62172,62223,62144,59139,59175,62223,59151,62149,59169,59134,62290,62118,59167,62490,62156,59211,59148,62660,59710,59287,62530,62530,62156,59320,59249,59139,62840,62000,62113,62144,62530,62156,59320,59249,59155,62217,59169,59242,59182,59287) 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 (85588,86395,102339,115203,145708,159990,237218,319308,316265,410983,415284,413732,231160,384072,306699,477054,528015)

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 = 85588 AND W.type_id = 1) OR (W.util_id <> 85588 AND W.type_id = 2)) AND (M.post_util_id = 85588 OR M.dest_util_id = 85588) 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=85588 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 = 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 <> ''

26. 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)

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 = 102339 AND W.type_id = 1) OR (W.util_id <> 102339 AND W.type_id = 2)) AND (M.post_util_id = 102339 OR M.dest_util_id = 102339) 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=102339 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 = 115203 AND W.type_id = 1) OR (W.util_id <> 115203 AND W.type_id = 2)) AND (M.post_util_id = 115203 OR M.dest_util_id = 115203) 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=115203 AND note_visu IN (1,3,4)

31. 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 = 145708 AND W.type_id = 1) OR (W.util_id <> 145708 AND W.type_id = 2)) AND (M.post_util_id = 145708 OR M.dest_util_id = 145708) 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=145708 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 = 159990 AND W.type_id = 1) OR (W.util_id <> 159990 AND W.type_id = 2)) AND (M.post_util_id = 159990 OR M.dest_util_id = 159990) 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=159990 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 = 237218 AND W.type_id = 1) OR (W.util_id <> 237218 AND W.type_id = 2)) AND (M.post_util_id = 237218 OR M.dest_util_id = 237218) 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=237218 AND note_visu IN (1,3,4)

37. 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 = 319308 AND W.type_id = 1) OR (W.util_id <> 319308 AND W.type_id = 2)) AND (M.post_util_id = 319308 OR M.dest_util_id = 319308) 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=319308 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 = 316265 AND W.type_id = 1) OR (W.util_id <> 316265 AND W.type_id = 2)) AND (M.post_util_id = 316265 OR M.dest_util_id = 316265) 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=316265 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 = 410983 AND W.type_id = 1) OR (W.util_id <> 410983 AND W.type_id = 2)) AND (M.post_util_id = 410983 OR M.dest_util_id = 410983) 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=410983 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 = 415284 AND W.type_id = 1) OR (W.util_id <> 415284 AND W.type_id = 2)) AND (M.post_util_id = 415284 OR M.dest_util_id = 415284) 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=415284 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 = 413732 AND W.type_id = 1) OR (W.util_id <> 413732 AND W.type_id = 2)) AND (M.post_util_id = 413732 OR M.dest_util_id = 413732) 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=413732 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 = 231160 AND W.type_id = 1) OR (W.util_id <> 231160 AND W.type_id = 2)) AND (M.post_util_id = 231160 OR M.dest_util_id = 231160) 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=231160 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 = 384072 AND W.type_id = 1) OR (W.util_id <> 384072 AND W.type_id = 2)) AND (M.post_util_id = 384072 OR M.dest_util_id = 384072) 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=384072 AND note_visu IN (1,3,4)

51. 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 <> ''

52. 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)

53. 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 = 477054 AND W.type_id = 1) OR (W.util_id <> 477054 AND W.type_id = 2)) AND (M.post_util_id = 477054 OR M.dest_util_id = 477054) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

54. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=477054 AND note_visu IN (1,3,4)

55. 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 = 528015 AND W.type_id = 1) OR (W.util_id <> 528015 AND W.type_id = 2)) AND (M.post_util_id = 528015 OR M.dest_util_id = 528015) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

56. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=528015 AND note_visu IN (1,3,4)

57. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62740'

58. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.253435678816 AND ville_latitude_deg<50.613164321184 AND ville_longitude_deg>2.6342973540188 AND ville_longitude_deg<3.1990426459812 HAVING distance <= 20 ORDER BY distance ASC

59. 0.0161

    SELECT ville_cp, ROUND((((acos(sin((50.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.983639197041 AND ville_latitude_deg<50.882960802959 AND ville_longitude_deg>2.2107322976908 AND ville_longitude_deg<3.6226077023092 HAVING distance <= 50 ORDER BY distance ASC

60. 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)

61. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (528015,237218,145708,85588,316265,231160,115203,319308,477054,384072,159990,306699,102339,86395,410983,413732,415284)

62. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (528015,237218,145708,85588,316265,231160,115203,319308,477054,384072,159990,306699,102339,86395,410983,413732,415284)

63. 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

64. 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

65. 0.0001

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

66. 0

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

67. 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

68. 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

69. 0.0011

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

70. 0.0257

    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'

71. 0.0179

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

71 requetes sql en 0.0976