Location karcher à 69670 Vaugneray

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='5' AND cate_title_slug='materiel-nettoyage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=110

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('69' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='69670' AND ville_nom like '%vaugneray%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%nettoyeur%haute%pression%' OR ssrubr_title like '%nettoyeur%haute%pression%' OR ssrubr_slug like '%nettoyeur%haute%pression%') AND cate_id='110' 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='69670'

12. 0.0027

    SELECT ville_cp, ROUND((((acos(sin((45.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.536835678816 AND ville_latitude_deg<45.896564321184 AND ville_longitude_deg>4.3757205717905 AND ville_longitude_deg<4.8909394282095 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='nettoyeur haute pression; karcher; kärcher; nettoy'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='110' AND ssrubr_id='745' AND wish_visu IN (1,6,10) AND wish_cp like '69670%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=110

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='nettoyeur haute pression; karcher; kärcher; nettoy' OR ssrubr_slug='nettoyeur-haute-pression;-karcher;-kärcher;-nettoy' OR (ssrubr_title like '%nettoyeur haute pression; karcher; kärcher; nettoy%')) AND cate_id='110' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='nettoyeur-haute-pression' AND cate_id='110'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='69670'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((45.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.536835678816 AND ville_latitude_deg<45.896564321184 AND ville_longitude_deg>4.3757205717905 AND ville_longitude_deg<4.8909394282095 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0062

    SELECT ville_cp, ROUND((((acos(sin((45.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.267039197041 AND ville_latitude_deg<46.166360802959 AND ville_longitude_deg>3.9893008759627 AND ville_longitude_deg<5.2773591240373 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0081

    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((45.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.63333- 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='5' AND cate_id='110' AND ssrubr_id='745' AND wish_visu IN (1,6,10) AND wish_cp IN (69670,69670,69670,69510,69510,69126,69510,69690,69510,69290,69210,69290,69510,69290,69210,69280,69530,69290,69850,69610,69630,69440,69210,69440,69690,69690,69280,69850,69440,69610,69340,69530,69260,69440,69440,69690,69440,69210,69210,69130,69690,69570,69610,69210,69590,69890,69160,69390,69600,69690,69210,69210,69210,69930,69610,69110,69350,69440,69440,69230,69390,69440,69700,69610,69310,69380,42800,69410,69210,69770,69390,69210,69700,69700,69590,69540,69210,69610,69700,69490,69370,69930,69590,69390,69520,69590,69380,69760,69490,69007,69004,69003,69009,69006,69002,69008,69000,69001,69005,69450,69590,69380,69380,69380,42800,69380,69320,69610,69380,69700,69250,69770,69360,69700,69360,69610,69360,69190,42140,69380,42800,42800,69490,69380,69660,42140,69300,69700,42140,69610,69200) 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 (48644,122028,169000,14709,251339,323766,357927,364391,383006,418829,420032,444480,470884,500315,502777,504960,302510,398400)

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 = 48644 AND W.type_id = 1) OR (W.util_id <> 48644 AND W.type_id = 2)) AND (M.post_util_id = 48644 OR M.dest_util_id = 48644) 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=48644 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 = 122028 AND W.type_id = 1) OR (W.util_id <> 122028 AND W.type_id = 2)) AND (M.post_util_id = 122028 OR M.dest_util_id = 122028) 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=122028 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 = 169000 AND W.type_id = 1) OR (W.util_id <> 169000 AND W.type_id = 2)) AND (M.post_util_id = 169000 OR M.dest_util_id = 169000) 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=169000 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 = 14709 AND W.type_id = 1) OR (W.util_id <> 14709 AND W.type_id = 2)) AND (M.post_util_id = 14709 OR M.dest_util_id = 14709) 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=14709 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 = 251339 AND W.type_id = 1) OR (W.util_id <> 251339 AND W.type_id = 2)) AND (M.post_util_id = 251339 OR M.dest_util_id = 251339) 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=251339 AND note_visu IN (1,3,4)

33. 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 = 323766 AND W.type_id = 1) OR (W.util_id <> 323766 AND W.type_id = 2)) AND (M.post_util_id = 323766 OR M.dest_util_id = 323766) 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=323766 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 = 357927 AND W.type_id = 1) OR (W.util_id <> 357927 AND W.type_id = 2)) AND (M.post_util_id = 357927 OR M.dest_util_id = 357927) 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=357927 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 = 364391 AND W.type_id = 1) OR (W.util_id <> 364391 AND W.type_id = 2)) AND (M.post_util_id = 364391 OR M.dest_util_id = 364391) 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=364391 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 = 383006 AND W.type_id = 1) OR (W.util_id <> 383006 AND W.type_id = 2)) AND (M.post_util_id = 383006 OR M.dest_util_id = 383006) 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=383006 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 = 418829 AND W.type_id = 1) OR (W.util_id <> 418829 AND W.type_id = 2)) AND (M.post_util_id = 418829 OR M.dest_util_id = 418829) 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=418829 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 = 420032 AND W.type_id = 1) OR (W.util_id <> 420032 AND W.type_id = 2)) AND (M.post_util_id = 420032 OR M.dest_util_id = 420032) 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=420032 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 = 444480 AND W.type_id = 1) OR (W.util_id <> 444480 AND W.type_id = 2)) AND (M.post_util_id = 444480 OR M.dest_util_id = 444480) 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=444480 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 = 470884 AND W.type_id = 1) OR (W.util_id <> 470884 AND W.type_id = 2)) AND (M.post_util_id = 470884 OR M.dest_util_id = 470884) 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=470884 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 = 500315 AND W.type_id = 1) OR (W.util_id <> 500315 AND W.type_id = 2)) AND (M.post_util_id = 500315 OR M.dest_util_id = 500315) 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=500315 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 = 502777 AND W.type_id = 1) OR (W.util_id <> 502777 AND W.type_id = 2)) AND (M.post_util_id = 502777 OR M.dest_util_id = 502777) 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=502777 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 = 504960 AND W.type_id = 1) OR (W.util_id <> 504960 AND W.type_id = 2)) AND (M.post_util_id = 504960 OR M.dest_util_id = 504960) 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=504960 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 = 302510 AND W.type_id = 1) OR (W.util_id <> 302510 AND W.type_id = 2)) AND (M.post_util_id = 302510 OR M.dest_util_id = 302510) 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=302510 AND note_visu IN (1,3,4)

57. 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 = 398400 AND W.type_id = 1) OR (W.util_id <> 398400 AND W.type_id = 2)) AND (M.post_util_id = 398400 OR M.dest_util_id = 398400) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

58. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=398400 AND note_visu IN (1,3,4)

59. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='69670'

60. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((45.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.536835678816 AND ville_latitude_deg<45.896564321184 AND ville_longitude_deg>4.3757205717905 AND ville_longitude_deg<4.8909394282095 HAVING distance <= 20 ORDER BY distance ASC

61. 0.0068

    SELECT ville_cp, ROUND((((acos(sin((45.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.267039197041 AND ville_latitude_deg<46.166360802959 AND ville_longitude_deg>3.9893008759627 AND ville_longitude_deg<5.2773591240373 HAVING distance <= 50 ORDER BY distance ASC

62. 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 (745)

63. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (323766,14709,48644,383006,398400,444480,302510,122028,420032,364391,500315,504960,502777,169000,418829,251339,357927,470884)

64. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (323766,14709,48644,383006,398400,444480,302510,122028,420032,364391,500315,504960,502777,169000,418829,251339,357927,470884)

65. 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='nettoyeur haute pression; karcher; kärcher; nettoy' OR ssrubr_slug like '%nettoyeur haute pression; karcher; kärcher; nettoy%' OR MATCH (ssrubr_slug) AGAINST ('(+nettoyeur +haute +pression; +karcher; +kärcher; +nettoy)')) AND sk.ssrubr_id='745' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

66. 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 = 5 AND ss.cate_id = 110 AND ss.ssrubr_id <> 745 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

67. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='745' AND actu_niveau=0 ORDER BY actu_ordre DESC

68. 0

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

69. 0.0001

    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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

70. 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 (110) ORDER BY ssrubr_order ASC

71. 0.0009

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

72. 0.0234

    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'

73. 0.0172

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

73 requetes sql en 0.0778