Service mécanicien automobile à 30870 Clarensac

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='3' AND cate_title_slug='depanneur-reparateur'

3. 0.0001

   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('30' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='30870' AND ville_nom like '%clarensac%' 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. 0.0001

   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. 0.0002

   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='30870'

12. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((43.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.636835678816 AND ville_latitude_deg<43.996564321184 AND ville_longitude_deg>3.9507275890265 AND ville_longitude_deg<4.4492724109735 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. 0.0002

    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 '30870%'

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='30870'

19. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((43.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.636835678816 AND ville_latitude_deg<43.996564321184 AND ville_longitude_deg>3.9507275890265 AND ville_longitude_deg<4.4492724109735 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0038

    SELECT ville_cp, ROUND((((acos(sin((43.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.367039197041 AND ville_latitude_deg<44.266360802959 AND ville_longitude_deg>3.5768135987811 AND ville_longitude_deg<4.8231864012189 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0083

    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((43.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.2- 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 (30870,30870,30870,30980,30420,30980,30114,30820,30730,30730,30111,30114,30250,30730,30250,30250,30250,30250,30620,30670,30540,30250,30250,30620,30121,30730,30310,30250,30920,30250,34400,30600,30730,30660,30250,30260,30260,30730,34160,30620,30900,30000,30250,34400,30190,34160,34400,30190,34400,30260,30260,30260,30190,30260,34400,34160,30350,30260,30260,30640,30600,34160,30470,30132,30190,30350,30510,34160,34400,30190,30260,30260,30190,34160,30350,30190,34590,30740,30350,34160,30260,34160,34160,34400,30260,30190,30350,30128,34160,30190,30190,30190,34160,30230,30230,30350,30350,30260,30260,34400,34160,34130,30610) 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 (50886,81615,86543,283665,284503,371170,473663,534502)

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 = 50886 AND W.type_id = 1) OR (W.util_id <> 50886 AND W.type_id = 2)) AND (M.post_util_id = 50886 OR M.dest_util_id = 50886) 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=50886 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 = 81615 AND W.type_id = 1) OR (W.util_id <> 81615 AND W.type_id = 2)) AND (M.post_util_id = 81615 OR M.dest_util_id = 81615) 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=81615 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 = 86543 AND W.type_id = 1) OR (W.util_id <> 86543 AND W.type_id = 2)) AND (M.post_util_id = 86543 OR M.dest_util_id = 86543) 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=86543 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 = 283665 AND W.type_id = 1) OR (W.util_id <> 283665 AND W.type_id = 2)) AND (M.post_util_id = 283665 OR M.dest_util_id = 283665) 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=283665 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 = 284503 AND W.type_id = 1) OR (W.util_id <> 284503 AND W.type_id = 2)) AND (M.post_util_id = 284503 OR M.dest_util_id = 284503) 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=284503 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 = 371170 AND W.type_id = 1) OR (W.util_id <> 371170 AND W.type_id = 2)) AND (M.post_util_id = 371170 OR M.dest_util_id = 371170) 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=371170 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 = 473663 AND W.type_id = 1) OR (W.util_id <> 473663 AND W.type_id = 2)) AND (M.post_util_id = 473663 OR M.dest_util_id = 473663) 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=473663 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 = 534502 AND W.type_id = 1) OR (W.util_id <> 534502 AND W.type_id = 2)) AND (M.post_util_id = 534502 OR M.dest_util_id = 534502) 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=534502 AND note_visu IN (1,3,4)

39. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='30870'

40. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((43.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.636835678816 AND ville_latitude_deg<43.996564321184 AND ville_longitude_deg>3.9507275890265 AND ville_longitude_deg<4.4492724109735 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0038

    SELECT ville_cp, ROUND((((acos(sin((43.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.367039197041 AND ville_latitude_deg<44.266360802959 AND ville_longitude_deg>3.5768135987811 AND ville_longitude_deg<4.8231864012189 HAVING distance <= 50 ORDER BY distance ASC

42. 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)

43. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (284503,473663,81615,283665,86543,534502,50886,371170)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (284503,473663,81615,283665,86543,534502,50886,371170)

45. 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

46. 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

47. 0.0001

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

48. 0

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

49. 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='3' AND cate_cate_id IS NULL ORDER BY cate_order ASC

50. 0.0001

    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

51. 0.0009

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

52. 0.0235

    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'

53. 0.0174

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

53 requetes sql en 0.0679