Service mécanicien automobile à 14740 Secqueville-en-bessin

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

   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('14' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='14740' AND ville_nom like '%secqueville%en%bessin%' 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. 0.0001

   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. 0.0002

   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='14740'

12. 0.003

    SELECT ville_cp, ROUND((((acos(sin((49.2333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.516667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.053435678816 AND ville_latitude_deg<49.413164321184 AND ville_longitude_deg>-0.79211872901525 AND ville_longitude_deg<-0.24121527098475 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 '14740%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=231

16. 0.0003

    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='14740'

19. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((49.2333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.516667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.053435678816 AND ville_latitude_deg<49.413164321184 AND ville_longitude_deg>-0.79211872901525 AND ville_longitude_deg<-0.24121527098475 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0246

    SELECT ville_cp, ROUND((((acos(sin((49.2333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.516667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.783639197041 AND ville_latitude_deg<49.682960802959 AND ville_longitude_deg>-1.205302260694 AND ville_longitude_deg<0.17196826069403 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0115

    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((49.2333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.516667- 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 (14740,14740,14740,14480,14740,14740,14740,14480,14980,14250,14480,14740,14480,14740,14610,14480,14250,14480,14480,14740,14740,14480,14250,14610,14740,14480,14250,14280,14650,14610,14210,14480,14250,14480,14610,14400,14400,14440,14400,14470,14400,14610,14280,14250,14400,14250,14480,14610,14250,14400,14250,14610,14480,14480,14790,14480,14610,14610,14280,14250,14760,14790,14790,14250,14920,14610,14930,14250,14210,14440,14114,14210,14210,14210,14400,14470,14210,14960,14400,14960,14470,14400,14111,14250,14250,14400,14250,14112,14250,14960,14210,14210,14400,14210,14117,14990,14930,14440,14400,14440,14000,14123,14250,14210,14112,14400,14750,14530,14830,14310,14400,14400,14117,14117,14210,14200,14210,14320,14400,14210,14880,14310,14550,14930,14460,14123,14490,14320,14250,14780,14120,14123,14880,14400,14210,14320,14400,14400,14970,14400,14210,14310,14400,14970,14310,14400,14210,14310,14210,14400,14730,14310,14400,14490,14540,14320,14310,14320,14260,14240,14400,14840,14490,14840,14320,14520,14540,14310,14320,14400,14540,14860,14850,14240,14490,14400,14220,14240) 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 (71001,152061,340102,395200,527329,542317)

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 = 71001 AND W.type_id = 1) OR (W.util_id <> 71001 AND W.type_id = 2)) AND (M.post_util_id = 71001 OR M.dest_util_id = 71001) 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=71001 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 = 152061 AND W.type_id = 1) OR (W.util_id <> 152061 AND W.type_id = 2)) AND (M.post_util_id = 152061 OR M.dest_util_id = 152061) 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=152061 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 = 340102 AND W.type_id = 1) OR (W.util_id <> 340102 AND W.type_id = 2)) AND (M.post_util_id = 340102 OR M.dest_util_id = 340102) 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=340102 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 = 395200 AND W.type_id = 1) OR (W.util_id <> 395200 AND W.type_id = 2)) AND (M.post_util_id = 395200 OR M.dest_util_id = 395200) 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=395200 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 = 527329 AND W.type_id = 1) OR (W.util_id <> 527329 AND W.type_id = 2)) AND (M.post_util_id = 527329 OR M.dest_util_id = 527329) 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=527329 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 = 542317 AND W.type_id = 1) OR (W.util_id <> 542317 AND W.type_id = 2)) AND (M.post_util_id = 542317 OR M.dest_util_id = 542317) 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=542317 AND note_visu IN (1,3,4)

35. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='14740'

36. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((49.2333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.516667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.053435678816 AND ville_latitude_deg<49.413164321184 AND ville_longitude_deg>-0.79211872901525 AND ville_longitude_deg<-0.24121527098475 HAVING distance <= 20 ORDER BY distance ASC

37. 0.0248

    SELECT ville_cp, ROUND((((acos(sin((49.2333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.516667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.783639197041 AND ville_latitude_deg<49.682960802959 AND ville_longitude_deg>-1.205302260694 AND ville_longitude_deg<0.17196826069403 HAVING distance <= 50 ORDER BY distance ASC

38. 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)

39. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (527329,395200,152061,340102,71001,542317)

40. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (527329,395200,152061,340102,71001,542317)

41. 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

42. 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

43. 0.0001

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

44. 0

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

45. 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

46. 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

47. 0.001

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

48. 0.0256

    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'

49. 0.0177

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

49 requetes sql en 0.1191