Service mécanicien automobile à 71380 Saint-marcel

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='depanneur-reparateur'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=231

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('71' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='71380' AND ville_nom like '%saint%marcel%' 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 '%mecanique%auto%' OR ssrubr_title like '%mecanique%auto%' OR ssrubr_slug like '%mecanique%auto%') AND cate_id='231' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SHOW TABLES LIKE 'pays'

9. 0.0001

   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='71380'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((46.75*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((46.75*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>46.570135678816 AND ville_latitude_deg<46.929864321184 AND ville_longitude_deg>4.6374940429877 AND ville_longitude_deg<5.1625059570123 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='mécanique auto; mecanicien; mécanicien; mecano; me'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='231' AND ssrubr_id='963' AND wish_visu IN (1,6,10) AND wish_cp like '71380%'

15. 0

    SELECT * FROM texte WHERE cate_id=231

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='mécanique auto; mecanicien; mécanicien; mecano; me' OR ssrubr_slug='mécanique-auto;-mecanicien;-mécanicien;-mecano;-me' OR (ssrubr_title like '%mécanique auto; mecanicien; mécanicien; mecano; me%')) AND cate_id='231' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='mecanique-auto' AND cate_id='231'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='71380'

19. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((46.75*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((46.75*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>46.570135678816 AND ville_latitude_deg<46.929864321184 AND ville_longitude_deg>4.6374940429877 AND ville_longitude_deg<5.1625059570123 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0073

    SELECT ville_cp, ROUND((((acos(sin((46.75*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((46.75*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>46.300339197041 AND ville_latitude_deg<47.199660802959 AND ville_longitude_deg>4.2437294483969 AND ville_longitude_deg<5.5562705516031 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0086

    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((46.75*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((46.75*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.9- 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='231' AND ssrubr_id='963' AND wish_visu IN (1,6,10) AND wish_cp IN (71380,71380,71380,71380,71100,71240,71380,71240,71380,71100,71370,71100,71100,71240,71370,71240,71530,71370,71240,71370,71380,71100,71880,71620,71530,71620,71530,71240,71240,71530,71530,71530,71620,71620,71240,71640,71390,71150,71370,71640,71370,71390,71590,71440,71530,71290,71240,71440,71620,71240,71290,71640,71620,71150,71390,71390,71240,71640,71590,71440,71640,71940,71640,71620,71240,71440,71390,71390,71240,71640,71390,71640,71390,71640,71240,71150,71440,71440,71620,71440,71330,71310,71640,71440,71350,71700,71390,71350,71350,71240,71350,71390,71390,71150,71510,71510,71940) 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 (48175,50503,88336,118618,221400,205963,309843,363908,428106,304391,507228)

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 = 48175 AND W.type_id = 1) OR (W.util_id <> 48175 AND W.type_id = 2)) AND (M.post_util_id = 48175 OR M.dest_util_id = 48175) 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=48175 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 = 50503 AND W.type_id = 1) OR (W.util_id <> 50503 AND W.type_id = 2)) AND (M.post_util_id = 50503 OR M.dest_util_id = 50503) 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=50503 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 = 88336 AND W.type_id = 1) OR (W.util_id <> 88336 AND W.type_id = 2)) AND (M.post_util_id = 88336 OR M.dest_util_id = 88336) 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=88336 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 = 118618 AND W.type_id = 1) OR (W.util_id <> 118618 AND W.type_id = 2)) AND (M.post_util_id = 118618 OR M.dest_util_id = 118618) 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=118618 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 = 221400 AND W.type_id = 1) OR (W.util_id <> 221400 AND W.type_id = 2)) AND (M.post_util_id = 221400 OR M.dest_util_id = 221400) 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=221400 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 = 205963 AND W.type_id = 1) OR (W.util_id <> 205963 AND W.type_id = 2)) AND (M.post_util_id = 205963 OR M.dest_util_id = 205963) 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=205963 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 = 309843 AND W.type_id = 1) OR (W.util_id <> 309843 AND W.type_id = 2)) AND (M.post_util_id = 309843 OR M.dest_util_id = 309843) 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=309843 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 = 363908 AND W.type_id = 1) OR (W.util_id <> 363908 AND W.type_id = 2)) AND (M.post_util_id = 363908 OR M.dest_util_id = 363908) 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=363908 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 = 428106 AND W.type_id = 1) OR (W.util_id <> 428106 AND W.type_id = 2)) AND (M.post_util_id = 428106 OR M.dest_util_id = 428106) 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=428106 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 = 304391 AND W.type_id = 1) OR (W.util_id <> 304391 AND W.type_id = 2)) AND (M.post_util_id = 304391 OR M.dest_util_id = 304391) 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=304391 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 = 507228 AND W.type_id = 1) OR (W.util_id <> 507228 AND W.type_id = 2)) AND (M.post_util_id = 507228 OR M.dest_util_id = 507228) 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=507228 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='71380'

46. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((46.75*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((46.75*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>46.570135678816 AND ville_latitude_deg<46.929864321184 AND ville_longitude_deg>4.6374940429877 AND ville_longitude_deg<5.1625059570123 HAVING distance <= 20 ORDER BY distance ASC

47. 0.0067

    SELECT ville_cp, ROUND((((acos(sin((46.75*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((46.75*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>46.300339197041 AND ville_latitude_deg<47.199660802959 AND ville_longitude_deg>4.2437294483969 AND ville_longitude_deg<5.5562705516031 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 (963)

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 (309843,118618,363908,88336,48175,507228,428106,205963,221400,304391,50503)

50. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (309843,118618,363908,88336,48175,507228,428106,205963,221400,304391,50503)

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='mécanique auto; mecanicien; mécanicien; mecano; me' OR ssrubr_slug like '%mécanique auto; mecanicien; mécanicien; mecano; me%' OR MATCH (ssrubr_slug) AGAINST ('(+mécanique +auto; +mecanicien; +mécanicien; +mecano; +me)')) AND sk.ssrubr_id='963' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

52. 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 = 231 AND ss.ssrubr_id <> 963 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

53. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='963' AND actu_niveau=0 ORDER BY actu_ordre DESC

54. 0

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

55. 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

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 (231) ORDER BY ssrubr_order ASC

57. 0.001

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

58. 0.0213

    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. 0.0163

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

59 requetes sql en 0.0743