Service electricien à 59233 Maing

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

   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='59233' AND ville_nom like '%maing%' 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. 0.0002

   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. 0.0002

   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='59233'

12. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((50.3*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.120135678816 AND ville_latitude_deg<50.479864321184 AND ville_longitude_deg>3.2017494136397 AND ville_longitude_deg<3.7649105863603 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 '59233%'

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='59233'

19. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.3*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.120135678816 AND ville_latitude_deg<50.479864321184 AND ville_longitude_deg>3.2017494136397 AND ville_longitude_deg<3.7649105863603 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0174

    SELECT ville_cp, ROUND((((acos(sin((50.3*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.850339197041 AND ville_latitude_deg<50.749660802959 AND ville_longitude_deg>2.7793724638181 AND ville_longitude_deg<4.1872875361819 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0073

    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((50.3*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.48333- 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 (59233,59233,59125,59224,59224,59121,59300,59269,59227,59213,59121,59213,59269,59300,59220,59174,59220,59195,59269,59990,59213,59195,59300,59213,59282,59990,59198,59770,59282,59494,59410,59227,59227,59494,59990,59530,59220,59255,59135,59213,59213,59880,59296,59990,59293,59590,59294,59192,59135,59156,59144,59530,59860,59730,59990,59124,59111,59530,59188,59172,59188,59171,59530,59730,59111,59144,59530,59530,59111,59264,59188,59171,59730,59530,59144,59172,59730,59990,59144,59129,59218,59218,59243,59215,59218,59292,59990,59171,59141,59530,59278,59144,59144,59277,59111,59530,59530,59178,59218,59730,59179,59530,59230,59295,59295,59970,7387,59252,59730,59214,7387,7387,59252,59178,59920,59141,59490,59530,59141,59870,59970,59580,59570,59252,59271,7387,59870,59530,59580,59144,59161,59970,59154,59530,59178,59217,59144,7387,7380,59870,59400,59163,59222,59165,59217,59490,59178,59161,7387,7387,7380,59199,59247,59217,59870,59360,59199,59158,59222,59570,59540,59234,59870,59288,59161,59570,59540,59163,59230,59222,59230,59554,7382,7387,59570,59247,59226,59176,59400,59230,59550,59157,59161,59530) 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 (33882,69121,137478,252380,254016,306439,303135,386147,308672,200862)

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. 0.0002

    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 = 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 <> ''

26. 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)

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 = 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 <> ''

28. 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)

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 = 252380 AND W.type_id = 1) OR (W.util_id <> 252380 AND W.type_id = 2)) AND (M.post_util_id = 252380 OR M.dest_util_id = 252380) 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=252380 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 = 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 <> ''

32. 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)

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 = 306439 AND W.type_id = 1) OR (W.util_id <> 306439 AND W.type_id = 2)) AND (M.post_util_id = 306439 OR M.dest_util_id = 306439) 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=306439 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 = 303135 AND W.type_id = 1) OR (W.util_id <> 303135 AND W.type_id = 2)) AND (M.post_util_id = 303135 OR M.dest_util_id = 303135) 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=303135 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 = 386147 AND W.type_id = 1) OR (W.util_id <> 386147 AND W.type_id = 2)) AND (M.post_util_id = 386147 OR M.dest_util_id = 386147) 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=386147 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 = 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 <> ''

40. 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)

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 = 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 <> ''

42. 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)

43. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59233'

44. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.3*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.120135678816 AND ville_latitude_deg<50.479864321184 AND ville_longitude_deg>3.2017494136397 AND ville_longitude_deg<3.7649105863603 HAVING distance <= 20 ORDER BY distance ASC

45. 0.0139

    SELECT ville_cp, ROUND((((acos(sin((50.3*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.48333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.850339197041 AND ville_latitude_deg<50.749660802959 AND ville_longitude_deg>2.7793724638181 AND ville_longitude_deg<4.1872875361819 HAVING distance <= 50 ORDER BY distance ASC

46. 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)

47. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (308672,69121,33882,137478,254016,200862,306439,303135,252380,386147)

48. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (308672,69121,33882,137478,254016,200862,306439,303135,252380,386147)

49. 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

50. 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

51. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='583' AND actu_niveau=0 ORDER BY actu_ordre DESC

52. 0.0001

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

53. 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

54. 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

55. 0.0009

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

56. 0.0267

    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'

57. 0.0229

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

57 requetes sql en 0.1034