Service electricien à 59136 Wavrin

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='59136' AND ville_nom like '%wavrin%' 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='59136'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((50.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.386835678816 AND ville_latitude_deg<50.746564321184 AND ville_longitude_deg>2.6334986878377 AND ville_longitude_deg<3.1998413121623 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 '59136%'

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='59136'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((50.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.386835678816 AND ville_latitude_deg<50.746564321184 AND ville_longitude_deg>2.6334986878377 AND ville_longitude_deg<3.1998413121623 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0138

    SELECT ville_cp, ROUND((((acos(sin((50.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.117039197041 AND ville_latitude_deg<51.016360802959 AND ville_longitude_deg>2.2087356150206 AND ville_longitude_deg<3.6246043849794 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((50.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.91667- 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 (59136,59136,59272,59184,59134,59134,59134,59112,59274,59147,59211,59251,59134,59147,59496,59320,59185,59320,59320,59480,59263,59249,59320,59147,59320,59134,59221,59112,62138,59249,59320,59496,59320,59133,59139,59320,62410,62138,59320,59113,59120,59133,59480,59175,62840,59840,59280,59139,62840,59160,62220,62138,62138,62410,59175,59155,62138,59551,62840,62410,62880,62880,62880,59840,62820,62410,62880,59239,62149,62590,59710,59130,59261,59840,62136,59777,59350,59160,59800,62840,59000,62149,59930,62440,62710,62149,59280,59239,59790,59350,59193,59551,59110,62840,59237,59810,62136,59116,62740,62640,62149,59260,59710,62221,62218,59162,62136,59273,62119,59710,59370,7783,59850,59940,62980,62300,59710,62149,59118,62750,59520,59700,59246,62110,62420,59236,62980,62141,59253,62113,62113,62430,62950,62136,62660,59283,59181,59273,62400,59890,59262,62400,7782,59242,62300,62970,62790,62160,59242,59890,62680,59830,59235,62670,59310,59283,59950,62113,59940,62210,59910,62800,59170,59290,59940,62290) 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 (62022,139058,222812,228728,230747,26750,462964,378267,11803,511399)

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 = 62022 AND W.type_id = 1) OR (W.util_id <> 62022 AND W.type_id = 2)) AND (M.post_util_id = 62022 OR M.dest_util_id = 62022) 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=62022 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 = 139058 AND W.type_id = 1) OR (W.util_id <> 139058 AND W.type_id = 2)) AND (M.post_util_id = 139058 OR M.dest_util_id = 139058) 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=139058 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 = 222812 AND W.type_id = 1) OR (W.util_id <> 222812 AND W.type_id = 2)) AND (M.post_util_id = 222812 OR M.dest_util_id = 222812) 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=222812 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 = 228728 AND W.type_id = 1) OR (W.util_id <> 228728 AND W.type_id = 2)) AND (M.post_util_id = 228728 OR M.dest_util_id = 228728) 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=228728 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 = 230747 AND W.type_id = 1) OR (W.util_id <> 230747 AND W.type_id = 2)) AND (M.post_util_id = 230747 OR M.dest_util_id = 230747) 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=230747 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 = 26750 AND W.type_id = 1) OR (W.util_id <> 26750 AND W.type_id = 2)) AND (M.post_util_id = 26750 OR M.dest_util_id = 26750) 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=26750 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 = 462964 AND W.type_id = 1) OR (W.util_id <> 462964 AND W.type_id = 2)) AND (M.post_util_id = 462964 OR M.dest_util_id = 462964) 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=462964 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 = 378267 AND W.type_id = 1) OR (W.util_id <> 378267 AND W.type_id = 2)) AND (M.post_util_id = 378267 OR M.dest_util_id = 378267) 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=378267 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 = 11803 AND W.type_id = 1) OR (W.util_id <> 11803 AND W.type_id = 2)) AND (M.post_util_id = 11803 OR M.dest_util_id = 11803) 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=11803 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 = 511399 AND W.type_id = 1) OR (W.util_id <> 511399 AND W.type_id = 2)) AND (M.post_util_id = 511399 OR M.dest_util_id = 511399) 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=511399 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='59136'

44. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((50.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.386835678816 AND ville_latitude_deg<50.746564321184 AND ville_longitude_deg>2.6334986878377 AND ville_longitude_deg<3.1998413121623 HAVING distance <= 20 ORDER BY distance ASC

45. 0.0137

    SELECT ville_cp, ROUND((((acos(sin((50.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.117039197041 AND ville_latitude_deg<51.016360802959 AND ville_longitude_deg>2.2087356150206 AND ville_longitude_deg<3.6246043849794 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 (228728,26750,139058,511399,462964,230747,62022,11803,222812,378267)

48. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (228728,26750,139058,511399,462964,230747,62022,11803,222812,378267)

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. 0.0011

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

56. 0.0238

    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. 0.0195

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

57 requetes sql en 0.0907