Service electricien à 78280 Guyancourt

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='bricolage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=50

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='78'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78280' AND ville_nom like '%guyancourt%' 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 '%electricien%' OR ssrubr_title like '%electricien%' OR ssrubr_slug like '%electricien%') AND cate_id='50' 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='78280'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((48.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.06667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.586835678816 AND ville_latitude_deg<48.946564321184 AND ville_longitude_deg>1.7937867581343 AND ville_longitude_deg<2.3395532418657 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='électricien; electricien; electricite; electricité'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='50'AND MATCH (wish_title,wish_desc) AGAINST ('+électricien; electricien; electricite; electricité*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '78280%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=50

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='électricien; electricien; electricite; electricité' OR ssrubr_slug='électricien;-electricien;-electricite;-electricité' OR (ssrubr_title like '%électricien; electricien; electricite; electricité%')) AND cate_id='50' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='electricien' AND cate_id='50'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78280'

19. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.06667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.586835678816 AND ville_latitude_deg<48.946564321184 AND ville_longitude_deg>1.7937867581343 AND ville_longitude_deg<2.3395532418657 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0061

    SELECT ville_cp, ROUND((((acos(sin((48.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.06667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.317039197041 AND ville_latitude_deg<49.216360802959 AND ville_longitude_deg>1.3844560125509 AND ville_longitude_deg<2.7488839874491 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0663

    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((48.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.06667- 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='50' AND MATCH (wish_desc) AGAINST ('(+électricien; +electricien; +electricite; +electricité*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (78280,78280,78960,78180,78210,78114,78470,78117,78117,78530,78350,78390,78190,78470,78330,78000,91190,78350,91190,78590,78470,78460,78150,78220,78320,91400,78450,78340,78150,78990,78320,78720,78720,78590,78140,78870,91470,78860,78460,78320,78370,91440,92370,91430,91940,91190,92420,92430,78310,78450,78170,78720,78620,91470,78310,91570,78160,92410,92310,91400,91430,91400,78430,92380,91940,78380,78290,78760,78112,78750,91470,91470,78810,91940,78720,78640,78690,78560,78690,92190,92360,92210,78640,78400,91640,78850,78640,91120,92290,78490,92350,91370,78810,78100,78230,78240,92140,78240,78110,92100,91140,91140,78610,78640,92130,78490,78490,92260,92330,92500,78121,92320,91300,91160,92150,92800,91470,78830,91640,78720,78490,92160,78650,91160,78830,92220,78610,78125,92000,78630,78360,91640,91620,78490,92240,92340,78490,78490,94260,78300,92170,78650,91160,91380,78420,91640,92120,91460,78800,91160,78600,91680,92200,78124,91620,94239,94230,94232,94240,94233,94234,94235,94236,94237,94238,94231,78770,78610,78490,92400,94110,91320,78580,78580,92250) AND type_id=1 GROUP BY wish_id

22. 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 = 14827 AND W.type_id = 1) OR (W.util_id <> 14827 AND W.type_id = 2)) AND (M.post_util_id = 14827 OR M.dest_util_id = 14827) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=14827 AND note_visu IN (1,3,4)

24. 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 = 29340 AND W.type_id = 1) OR (W.util_id <> 29340 AND W.type_id = 2)) AND (M.post_util_id = 29340 OR M.dest_util_id = 29340) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=29340 AND note_visu IN (1,3,4)

26. 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 = 57423 AND W.type_id = 1) OR (W.util_id <> 57423 AND W.type_id = 2)) AND (M.post_util_id = 57423 OR M.dest_util_id = 57423) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=57423 AND note_visu IN (1,3,4)

28. 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 = 91032 AND W.type_id = 1) OR (W.util_id <> 91032 AND W.type_id = 2)) AND (M.post_util_id = 91032 OR M.dest_util_id = 91032) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=91032 AND note_visu IN (1,3,4)

30. 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 = 115247 AND W.type_id = 1) OR (W.util_id <> 115247 AND W.type_id = 2)) AND (M.post_util_id = 115247 OR M.dest_util_id = 115247) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=115247 AND note_visu IN (1,3,4)

32. 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 = 125536 AND W.type_id = 1) OR (W.util_id <> 125536 AND W.type_id = 2)) AND (M.post_util_id = 125536 OR M.dest_util_id = 125536) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=125536 AND note_visu IN (1,3,4)

34. 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 = 145415 AND W.type_id = 1) OR (W.util_id <> 145415 AND W.type_id = 2)) AND (M.post_util_id = 145415 OR M.dest_util_id = 145415) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=145415 AND note_visu IN (1,3,4)

36. 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 = 166092 AND W.type_id = 1) OR (W.util_id <> 166092 AND W.type_id = 2)) AND (M.post_util_id = 166092 OR M.dest_util_id = 166092) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=166092 AND note_visu IN (1,3,4)

38. 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 = 204805 AND W.type_id = 1) OR (W.util_id <> 204805 AND W.type_id = 2)) AND (M.post_util_id = 204805 OR M.dest_util_id = 204805) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

39. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=204805 AND note_visu IN (1,3,4)

40. 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 = 200907 AND W.type_id = 1) OR (W.util_id <> 200907 AND W.type_id = 2)) AND (M.post_util_id = 200907 OR M.dest_util_id = 200907) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

41. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=200907 AND note_visu IN (1,3,4)

42. 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 = 38946 AND W.type_id = 1) OR (W.util_id <> 38946 AND W.type_id = 2)) AND (M.post_util_id = 38946 OR M.dest_util_id = 38946) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

43. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=38946 AND note_visu IN (1,3,4)

44. 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 = 209731 AND W.type_id = 1) OR (W.util_id <> 209731 AND W.type_id = 2)) AND (M.post_util_id = 209731 OR M.dest_util_id = 209731) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

45. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=209731 AND note_visu IN (1,3,4)

46. 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 = 300423 AND W.type_id = 1) OR (W.util_id <> 300423 AND W.type_id = 2)) AND (M.post_util_id = 300423 OR M.dest_util_id = 300423) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

47. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=300423 AND note_visu IN (1,3,4)

48. 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 = 321624 AND W.type_id = 1) OR (W.util_id <> 321624 AND W.type_id = 2)) AND (M.post_util_id = 321624 OR M.dest_util_id = 321624) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

49. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=321624 AND note_visu IN (1,3,4)

50. 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 = 480060 AND W.type_id = 1) OR (W.util_id <> 480060 AND W.type_id = 2)) AND (M.post_util_id = 480060 OR M.dest_util_id = 480060) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

51. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=480060 AND note_visu IN (1,3,4)

52. 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 = 164053 AND W.type_id = 1) OR (W.util_id <> 164053 AND W.type_id = 2)) AND (M.post_util_id = 164053 OR M.dest_util_id = 164053) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

53. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=164053 AND note_visu IN (1,3,4)

54. 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 = 482933 AND W.type_id = 1) OR (W.util_id <> 482933 AND W.type_id = 2)) AND (M.post_util_id = 482933 OR M.dest_util_id = 482933) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

55. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=482933 AND note_visu IN (1,3,4)

56. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78280'

57. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.06667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.586835678816 AND ville_latitude_deg<48.946564321184 AND ville_longitude_deg>1.7937867581343 AND ville_longitude_deg<2.3395532418657 HAVING distance <= 20 ORDER BY distance ASC

58. 0.0067

    SELECT ville_cp, ROUND((((acos(sin((48.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.06667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.317039197041 AND ville_latitude_deg<49.216360802959 AND ville_longitude_deg>1.3844560125509 AND ville_longitude_deg<2.7488839874491 HAVING distance <= 50 ORDER BY distance ASC

59. 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 (583)

60. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (91032,125536,14827,29340,200907,115247,300423,209731,204805,321624,57423,38946,166092,480060,145415,164053,482933)

61. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (91032,125536,14827,29340,200907,115247,300423,209731,204805,321624,57423,38946,166092,480060,145415,164053,482933)

62. 0.0003

    SELECT ssrubr_id, ssrubr_title, ssrubr_slug, ssrubr_photo, cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=50 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

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='électricien; electricien; electricite; electricité' OR ssrubr_slug like '%électricien; electricien; electricite; electricité%' OR MATCH (ssrubr_slug) AGAINST ('(+électricien; +electricien; +electricite; +electricité)')) AND sk.ssrubr_id='583' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

64. 0.0003

    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 = 50 AND ss.ssrubr_id <> 583 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

65. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='583' AND actu_niveau=0 ORDER BY actu_ordre DESC

66. 0.0001

    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. 0.0002

    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 (50) ORDER BY ssrubr_order ASC

69. 0.0016

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

70. 0.0252

    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. 0.017

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

71 requetes sql en 0.1373