Service electricien à 59144 Amfroipret

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='bricolage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=50

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('59' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59144' AND ville_nom like '%amfroipret%' 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 '%electricien%' OR ssrubr_title like '%electricien%' OR ssrubr_slug like '%electricien%') AND cate_id='50' 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. 0.0002

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='59144'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((50.2667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.71667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.086835678816 AND ville_latitude_deg<50.446564321184 AND ville_longitude_deg>3.4352863493845 AND ville_longitude_deg<3.9980536506155 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='électricien; electricien; electricite; electricité'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='50' AND ssrubr_id='583' AND wish_visu IN (1,6,10) AND wish_cp like '59144%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=50

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='électricien; electricien; electricite; electricité' OR ssrubr_slug='électricien;-electricien;-electricite;-electricité' OR (ssrubr_title like '%électricien; electricien; electricite; electricité%')) AND cate_id='50' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='electricien' AND cate_id='50'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59144'

19. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((50.2667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.71667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.086835678816 AND ville_latitude_deg<50.446564321184 AND ville_longitude_deg>3.4352863493845 AND ville_longitude_deg<3.9980536506155 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0144

    SELECT ville_cp, ROUND((((acos(sin((50.2667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.71667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.817039197041 AND ville_latitude_deg<50.716360802959 AND ville_longitude_deg>3.0132048074258 AND ville_longitude_deg<4.4201351925742 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0059

    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((50.2667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.71667- 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='50' AND ssrubr_id='583' AND wish_visu IN (1,6,10) AND wish_cp IN (59144,59144,59144,59530,59144,59570,59530,59530,59570,59570,59144,59530,59570,59530,59570,59144,59570,59570,59530,59144,59530,59570,59144,59530,59570,59530,59530,7387,59570,59530,59570,59144,7387,59530,7387,59138,59138,59990,59530,7387,59145,59990,59530,7387,7387,59269,59570,59138,59570,59530,59145,59990,59570,7387,59620,59218,7387,7387,7387,59990,59990,59138,59218,59218,59990,59288,59269,59213,59213,59330,59990,59620,7387,7382,59330,59213,59213,59218,7370,59920,7370,7380,59550,59730,59213,59550,59550,59269,59620,59750,59330,59243,59222,59550,59550,59730,7370,59550,59770,59300,59300,7370,59264,59213,59620,59330,7040,7380,59300,7040,59620,59222,7080,59880,59730,59227,7340,59233,59330,59330,59154,59222,59125,59294,59440,59440,59720,59440,59600,59224,59730,7040,7080,59600,7350,59860,7350,7340,59550,7350,59970,59330,7040,7340,59410,59174,59440,59730,7080,7350,7340,59600,7040,59224,59227,59227,7300,59360,7040,7040,59121,59600,59440,59278,59244,59494,59730) 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 (33882,43854,69121,137478,201651,254016,308672,200862)

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 = 33882 AND W.type_id = 1) OR (W.util_id <> 33882 AND W.type_id = 2)) AND (M.post_util_id = 33882 OR M.dest_util_id = 33882) 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=33882 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 = 43854 AND W.type_id = 1) OR (W.util_id <> 43854 AND W.type_id = 2)) AND (M.post_util_id = 43854 OR M.dest_util_id = 43854) 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=43854 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 = 69121 AND W.type_id = 1) OR (W.util_id <> 69121 AND W.type_id = 2)) AND (M.post_util_id = 69121 OR M.dest_util_id = 69121) 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=69121 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 = 137478 AND W.type_id = 1) OR (W.util_id <> 137478 AND W.type_id = 2)) AND (M.post_util_id = 137478 OR M.dest_util_id = 137478) 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=137478 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 = 201651 AND W.type_id = 1) OR (W.util_id <> 201651 AND W.type_id = 2)) AND (M.post_util_id = 201651 OR M.dest_util_id = 201651) 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=201651 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 = 254016 AND W.type_id = 1) OR (W.util_id <> 254016 AND W.type_id = 2)) AND (M.post_util_id = 254016 OR M.dest_util_id = 254016) 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=254016 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 = 308672 AND W.type_id = 1) OR (W.util_id <> 308672 AND W.type_id = 2)) AND (M.post_util_id = 308672 OR M.dest_util_id = 308672) 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=308672 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 = 200862 AND W.type_id = 1) OR (W.util_id <> 200862 AND W.type_id = 2)) AND (M.post_util_id = 200862 OR M.dest_util_id = 200862) 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=200862 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='59144'

40. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((50.2667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.71667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.086835678816 AND ville_latitude_deg<50.446564321184 AND ville_longitude_deg>3.4352863493845 AND ville_longitude_deg<3.9980536506155 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0156

    SELECT ville_cp, ROUND((((acos(sin((50.2667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.71667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.817039197041 AND ville_latitude_deg<50.716360802959 AND ville_longitude_deg>3.0132048074258 AND ville_longitude_deg<4.4201351925742 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 (583)

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 (69121,33882,137478,200862,254016,308672,43854,201651)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (69121,33882,137478,200862,254016,308672,43854,201651)

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='électricien; electricien; electricite; electricité' OR ssrubr_slug like '%électricien; electricien; electricite; electricité%' OR MATCH (ssrubr_slug) AGAINST ('(+électricien; +electricien; +electricite; +electricité)')) AND sk.ssrubr_id='583' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 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 = 3 AND ss.cate_id = 50 AND ss.ssrubr_id <> 583 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='583' 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. 0.0002

    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

50. 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 (50) ORDER BY ssrubr_order ASC

51. 0.0011

    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. 0.0179

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

53 requetes sql en 0.0909