Service multi services à 59199 Hergnies

1. 0.0001

   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 filtre_dpt='59'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59199' AND ville_nom like '%hergnies%' 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 '%multi%services%' OR ssrubr_title like '%multi%services%' OR ssrubr_slug like '%multi%services%') 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='59199'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.286835678816 AND ville_latitude_deg<50.646564321184 AND ville_longitude_deg>3.2340979548839 AND ville_longitude_deg<3.7992420451161 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='multi services'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='50'AND MATCH (wish_title,wish_desc) AGAINST ('+multi services*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59199%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=50

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='multi services' OR ssrubr_slug='multi-services' OR (ssrubr_title like '%multi services%')) 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='multi-services' AND cate_id='50'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59199'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.286835678816 AND ville_latitude_deg<50.646564321184 AND ville_longitude_deg>3.2340979548839 AND ville_longitude_deg<3.7992420451161 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0152

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.017039197041 AND ville_latitude_deg<50.916360802959 AND ville_longitude_deg>2.8102337955549 AND ville_longitude_deg<4.2231062044451 HAVING distance <= 50 ORDER BY distance ASC

21. 0.071

    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((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.51667- 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 MATCH (wish_desc) AGAINST ('(+multi +services*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59199,59199,59199,59970,59230,59230,59158,7608,59163,59158,59158,59970,59278,59158,59230,7604,7600,7603,7622,59970,59226,7601,7604,59163,7620,59178,7604,59860,59192,7640,7320,59590,59163,7623,7602,7620,7604,7640,7604,7321,59154,59178,7621,59264,59410,7620,59880,59494,7620,7538,7971,59494,7971,7643,59243,59226,7641,59230,7971,7624,7640,7971,59178,7350,59135,7321,7620,7904,7972,59300,59690,59310,59230,59770,59174,7973,59178,7380,7534,7642,7620,7350,7530,59195,59135,7322,59920,59870,59195,59990,7387,59990,7500,59870,7973,59300,7521,7322,7904,7972,59171,59255,7380,59310,7536,59990,7618,7906,59990,59220,59870,59990,59310,7350,59220,7972,59310,7500,59300,7506,7611,7534,59125,7387,59990,7531,59171,7548,7532,7904,7382,59121,59310,59220,7334,59121,59870,7610,7387,7540,7901,59171,7500,7970,7903,7504,7903,59144,7370,7350,7387,7533,7387,59233,59269,7903,59179,59124,7370,59224,59990,7387,7502,7950,59144,59310,59870,7501,7911,7900,7900,7334,7387,7332,59144,59490,59830,59870,7300) AND type_id=1 GROUP BY wish_id

22. 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 = 68025 AND W.type_id = 1) OR (W.util_id <> 68025 AND W.type_id = 2)) AND (M.post_util_id = 68025 OR M.dest_util_id = 68025) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=68025 AND note_visu IN (1,3,4)

24. 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 <> ''

25. 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)

26. 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 = 111152 AND W.type_id = 1) OR (W.util_id <> 111152 AND W.type_id = 2)) AND (M.post_util_id = 111152 OR M.dest_util_id = 111152) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=111152 AND note_visu IN (1,3,4)

28. 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 = 195408 AND W.type_id = 1) OR (W.util_id <> 195408 AND W.type_id = 2)) AND (M.post_util_id = 195408 OR M.dest_util_id = 195408) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=195408 AND note_visu IN (1,3,4)

30. 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 = 212965 AND W.type_id = 1) OR (W.util_id <> 212965 AND W.type_id = 2)) AND (M.post_util_id = 212965 OR M.dest_util_id = 212965) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=212965 AND note_visu IN (1,3,4)

32. 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 = 285268 AND W.type_id = 1) OR (W.util_id <> 285268 AND W.type_id = 2)) AND (M.post_util_id = 285268 OR M.dest_util_id = 285268) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=285268 AND note_visu IN (1,3,4)

34. 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 = 251647 AND W.type_id = 1) OR (W.util_id <> 251647 AND W.type_id = 2)) AND (M.post_util_id = 251647 OR M.dest_util_id = 251647) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=251647 AND note_visu IN (1,3,4)

36. 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 = 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 <> ''

37. 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)

38. 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 = 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 <> ''

39. 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)

40. 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 = 319641 AND W.type_id = 1) OR (W.util_id <> 319641 AND W.type_id = 2)) AND (M.post_util_id = 319641 OR M.dest_util_id = 319641) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

41. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=319641 AND note_visu IN (1,3,4)

42. 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 = 537747 AND W.type_id = 1) OR (W.util_id <> 537747 AND W.type_id = 2)) AND (M.post_util_id = 537747 OR M.dest_util_id = 537747) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

43. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=537747 AND note_visu IN (1,3,4)

44. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59199'

45. 0.003

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.286835678816 AND ville_latitude_deg<50.646564321184 AND ville_longitude_deg>3.2340979548839 AND ville_longitude_deg<3.7992420451161 HAVING distance <= 20 ORDER BY distance ASC

46. 0.0167

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.017039197041 AND ville_latitude_deg<50.916360802959 AND ville_longitude_deg>2.8102337955549 AND ville_longitude_deg<4.2231062044451 HAVING distance <= 50 ORDER BY distance ASC

47. 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 (595)

48. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (69121,212965,319641,537747,200862,68025,251647,285268,195408,308672,111152)

49. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (69121,212965,319641,537747,200862,68025,251647,285268,195408,308672,111152)

50. 0.0003

    SELECT ssrubr_id, ssrubr_title, ssrubr_slug, ssrubr_photo, cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=50 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

51. 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='multi services' OR ssrubr_slug like '%multi services%' OR MATCH (ssrubr_slug) AGAINST ('(+multi +services)')) AND sk.ssrubr_id='595' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

52. 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 <> 595 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

53. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='595' AND actu_niveau=0 ORDER BY actu_ordre DESC

54. 0.0001

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

55. 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

56. 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

57. 0.001

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

58. 0.0282

    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'

59. 0.0197

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

59 requetes sql en 0.1667