Location voiture à 33550 Le tourne

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='voiture'

3. 0.0001

   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('33' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='33550' AND ville_nom like '%le%tourne%' 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. 0.0018

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%voitures%' OR ssrubr_title like '%voitures%' OR ssrubr_slug like '%voitures%') 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='33550'

12. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((44.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((44.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.4- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>44.536835678816 AND ville_latitude_deg<44.896564321184 AND ville_longitude_deg>-0.65311853036777 AND ville_longitude_deg<-0.14688146963223 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='voiture; voitures; renault; citroen; citroën; peug'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='81' AND ssrubr_id='985' AND wish_visu IN (1,6,10) AND wish_cp like '33550%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=81

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='voiture; voitures; renault; citroen; citroën; peug' OR ssrubr_slug='voiture;-voitures;-renault;-citroen;-citroën;-peug' OR (ssrubr_title like '%voiture; voitures; renault; citroen; citroën; peug%')) 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='voitures' AND cate_id='81'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='33550'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((44.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((44.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.4- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>44.536835678816 AND ville_latitude_deg<44.896564321184 AND ville_longitude_deg>-0.65311853036777 AND ville_longitude_deg<-0.14688146963223 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0079

    SELECT ville_cp, ROUND((((acos(sin((44.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((44.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.4- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>44.267039197041 AND ville_latitude_deg<45.166360802959 AND ville_longitude_deg>-1.0328017826189 AND ville_longitude_deg<0.23280178261887 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0108

    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((44.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((44.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.4- 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='985' AND wish_visu IN (1,6,10) AND wish_cp IN (33550,33550,33550,33550,33550,33640,33670,33550,33880,33880,33640,33550,33880,33640,33640,33550,33670,33550,33410,33640,33640,33670,33720,33360,33670,33360,33720,33410,33650,33360,33670,33650,33370,33650,33670,33360,33360,33760,33410,33720,33760,33410,33650,33140,33760,33370,33670,33410,33720,33370,33410,33650,33670,33750,33360,33410,33410,33750,33720,33370,33670,33140,33760,33750,33720,33760,33760,33420,33130,33420,33760,33750,33270,33410,33760,33760,33420,33370,33420,33410,33760,33370,33750,33850,33490,33750,33420,33270,33720,33210,33760,33210,33760,33760,33760,33490,33750,33370,33650,33410,33410,33760,33650,33760,33760,33170,33540,33150,33420,33420,33072,33200,33100,33800,33000,33300,33750,33450,33420,33760,33540,33420,33490,33540,33370,33400,33600,33310,33490,33540,33420) 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 (39500,149972,130369,278863,330641,377054,402201,275980,479138,497762,542710)

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 = 39500 AND W.type_id = 1) OR (W.util_id <> 39500 AND W.type_id = 2)) AND (M.post_util_id = 39500 OR M.dest_util_id = 39500) 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=39500 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 = 149972 AND W.type_id = 1) OR (W.util_id <> 149972 AND W.type_id = 2)) AND (M.post_util_id = 149972 OR M.dest_util_id = 149972) 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=149972 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 = 130369 AND W.type_id = 1) OR (W.util_id <> 130369 AND W.type_id = 2)) AND (M.post_util_id = 130369 OR M.dest_util_id = 130369) 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=130369 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 = 278863 AND W.type_id = 1) OR (W.util_id <> 278863 AND W.type_id = 2)) AND (M.post_util_id = 278863 OR M.dest_util_id = 278863) 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=278863 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 = 330641 AND W.type_id = 1) OR (W.util_id <> 330641 AND W.type_id = 2)) AND (M.post_util_id = 330641 OR M.dest_util_id = 330641) 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=330641 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 = 377054 AND W.type_id = 1) OR (W.util_id <> 377054 AND W.type_id = 2)) AND (M.post_util_id = 377054 OR M.dest_util_id = 377054) 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=377054 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 = 402201 AND W.type_id = 1) OR (W.util_id <> 402201 AND W.type_id = 2)) AND (M.post_util_id = 402201 OR M.dest_util_id = 402201) 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=402201 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 = 275980 AND W.type_id = 1) OR (W.util_id <> 275980 AND W.type_id = 2)) AND (M.post_util_id = 275980 OR M.dest_util_id = 275980) 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=275980 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 = 479138 AND W.type_id = 1) OR (W.util_id <> 479138 AND W.type_id = 2)) AND (M.post_util_id = 479138 OR M.dest_util_id = 479138) 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=479138 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 = 497762 AND W.type_id = 1) OR (W.util_id <> 497762 AND W.type_id = 2)) AND (M.post_util_id = 497762 OR M.dest_util_id = 497762) 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=497762 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 = 542710 AND W.type_id = 1) OR (W.util_id <> 542710 AND W.type_id = 2)) AND (M.post_util_id = 542710 OR M.dest_util_id = 542710) 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=542710 AND note_visu IN (1,3,4)

45. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='33550'

46. 0.002

    SELECT ville_cp, ROUND((((acos(sin((44.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((44.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.4- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>44.536835678816 AND ville_latitude_deg<44.896564321184 AND ville_longitude_deg>-0.65311853036777 AND ville_longitude_deg<-0.14688146963223 HAVING distance <= 20 ORDER BY distance ASC

47. 0.0082

    SELECT ville_cp, ROUND((((acos(sin((44.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((44.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.4- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>44.267039197041 AND ville_latitude_deg<45.166360802959 AND ville_longitude_deg>-1.0328017826189 AND ville_longitude_deg<0.23280178261887 HAVING distance <= 50 ORDER BY distance ASC

48. 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 (985)

49. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (377054,479138,542710,39500,278863,330641,497762,275980,130369,402201,149972)

50. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (377054,479138,542710,39500,278863,330641,497762,275980,130369,402201,149972)

51. 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='voiture; voitures; renault; citroen; citroën; peug' OR ssrubr_slug like '%voiture; voitures; renault; citroen; citroën; peug%' OR MATCH (ssrubr_slug) AGAINST ('(+voiture; +voitures; +renault; +citroen; +citroën; +peug)')) AND sk.ssrubr_id='985' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

52. 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 = 5 AND ss.cate_id = 81 AND ss.ssrubr_id <> 985 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

53. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='985' AND actu_niveau=0 ORDER BY actu_ordre DESC

54. 0.0001

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

55. 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

56. 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

57. 0.0012

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

58. 0.0236

    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'

59. 0.0166

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

59 requetes sql en 0.0833