Location camion à 25350 Mandeure

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='5' AND cate_title_slug='voiture'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=81

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('25' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='25350' AND ville_nom like '%mandeure%' 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. 0.0016

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%camion%camionnette%' OR ssrubr_title like '%camion%camionnette%' OR ssrubr_slug like '%camion%camionnette%') AND cate_id='81' 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='25350'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((47.45*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.45*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.270135678816 AND ville_latitude_deg<47.629864321184 AND ville_longitude_deg>6.534019894714 AND ville_longitude_deg<7.065980105286 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='camion; camion camionnette'

14. 0.0001

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='81' AND ssrubr_id='862' AND wish_visu IN (1,6,10) AND wish_cp like '25350%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=81

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='camion; camion camionnette' OR ssrubr_slug='camion;-camion-camionnette' OR (ssrubr_title like '%camion; camion camionnette%')) AND cate_id='81' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='camion-camionnette' AND cate_id='81'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='25350'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((47.45*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.45*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.270135678816 AND ville_latitude_deg<47.629864321184 AND ville_longitude_deg>6.534019894714 AND ville_longitude_deg<7.065980105286 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0074

    SELECT ville_cp, ROUND((((acos(sin((47.45*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.45*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.000339197041 AND ville_latitude_deg<47.899660802959 AND ville_longitude_deg>6.1350440028172 AND ville_longitude_deg<7.4649559971828 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((47.45*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.45*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.8- 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='81' AND ssrubr_id='862' AND wish_visu IN (1,6,10) AND wish_cp IN (25350,25350,25700,25700,25420,25230,25400,25150,25420,25400,25420,25310,25150,25230,25420,25420,25150,25400,25630,25310,25550,25260,25310,25550,25400,25310,25200,25460,25550,25260,25150,25230,25600,25150,25600,25550,25310,25310,25150,25230,25310,25260,25310,90500,25200,25113,90500,25200,25550,25600,25490,25310,25600,25550,25150,25310,25150,25490,25190,25550,90100,25260,70400,25190,25190,25190,25190,25250,25490,25260,25150,25150,25550,2914,25260,25490,2908,25550,25600,25190,2916,25750,90100,90100,90120,2912,25190,25250,25190,25750,25750,25190,25190,25250,90700,25750,25250,25250,25250,25250,70400,2907,25190,90400,90100,25250,70400,25250,25190,70400,2915,90120,25190,70400,90400,25250,90100,25250,2912,70400,90400,25190,25190,70400,90400,90140,25750,70400,2906,90100,70400,90400,2926,25250,25250,90140,70400,90800,90800,90800,25190,90600,25250,25190,90400,25190,70400,90140,70400,25470,2925,25190,90400,70400,2905,25250,90100,90100,25250,25430,25470,90400,25190,25250,70400,25190,2922,90800,70400,2923,25470,25430,90850,25190,25430,25250,25190,90400,25470,90140,90100,25340,70400,25380,90400,25470,90140,2904,25340,70400,2924,90100) 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 (144208,209770,403733,471863)

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 = 144208 AND W.type_id = 1) OR (W.util_id <> 144208 AND W.type_id = 2)) AND (M.post_util_id = 144208 OR M.dest_util_id = 144208) 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=144208 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 = 209770 AND W.type_id = 1) OR (W.util_id <> 209770 AND W.type_id = 2)) AND (M.post_util_id = 209770 OR M.dest_util_id = 209770) 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=209770 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 = 403733 AND W.type_id = 1) OR (W.util_id <> 403733 AND W.type_id = 2)) AND (M.post_util_id = 403733 OR M.dest_util_id = 403733) 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=403733 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 = 471863 AND W.type_id = 1) OR (W.util_id <> 471863 AND W.type_id = 2)) AND (M.post_util_id = 471863 OR M.dest_util_id = 471863) 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=471863 AND note_visu IN (1,3,4)

31. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='25350'

32. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((47.45*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.45*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.270135678816 AND ville_latitude_deg<47.629864321184 AND ville_longitude_deg>6.534019894714 AND ville_longitude_deg<7.065980105286 HAVING distance <= 20 ORDER BY distance ASC

33. 0.0075

    SELECT ville_cp, ROUND((((acos(sin((47.45*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.45*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.8- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.000339197041 AND ville_latitude_deg<47.899660802959 AND ville_longitude_deg>6.1350440028172 AND ville_longitude_deg<7.4649559971828 HAVING distance <= 50 ORDER BY distance ASC

34. 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 (862)

35. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (471863,144208,403733,209770)

36. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (471863,144208,403733,209770)

37. 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='camion; camion camionnette' OR ssrubr_slug like '%camion; camion camionnette%' OR MATCH (ssrubr_slug) AGAINST ('(+camion; +camion +camionnette)')) AND sk.ssrubr_id='862' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 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 = 81 AND ss.ssrubr_id <> 862 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='862' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0.0001

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

41. 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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

42. 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 (81) ORDER BY ssrubr_order ASC

43. 0.0016

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

44. 0.0446

    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'

45. 0.0316

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

45 requetes sql en 0.1136