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Location sono : 1 sono sonos à louer entre particuliers à 59133 Camphin-en-carembault Location de matériel : sono (sonorisation) pour votre soirée, fête d'anniversaire, mariage, concert, événement ... La location d'une sono est possible entre voisins pour écouter de la musique, des sons ou encore pour organiser un karaoké. Une sono se compose souvent d’un amplificateur sono, des enceintes sono, l'option enceintes connectées par bluetooth ... Vous pouvez louer des enceintes sono, une sono portable entre particuliers pas cher. La location d’une sono se fait généralement à la journée ou sur plusieurs jours.
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Location sono
Location sono
Sono
Profil du voisin
Jonathan C Voisin vérifié

8 km · Wattignies 59139

70€/j

100%
Location sono
Location sono
Sono
Profil du voisin
Jonathan C Voisin vérifié

8 km · Wattignies 59139

70€/j

100%
Location enceinte
Location enceinte
Enceinte Bluetooth
Profil du voisin
Lucas L Voisin vérifié

11 km · Ronchin 59790

22€/j

5.0 91%
Location sono
Location sono
Enceinte Sony à louer
Profil du voisin
Nolan V Voisin vérifié

13 km · Lille 59800

45€/j

5.0 80%
Location sono
Location sono
Pack sonorisation 2500w + livraison/montage
Profil du voisin
Anton C Voisin vérifié

13 km · Lille 59000

70€/j

Location enceinte
Location enceinte
Pack sonorisation 2500w + livraison/montage
Profil du voisin
Anton C Voisin vérifié

13 km · Lille 59000

70€/j

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    SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='59'

  4. 0.0001

    SELECT ville_nom FROM villes WHERE ville_cp='59133' AND ville_nom like '%camphin%en%carembault%' ORDER BY ville_population_2012 DESC LIMIT 0,1

  5. 0.0002

    SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%sono%' OR ssrubr_title like '%sono%' OR ssrubr_slug like '%sono%') AND cate_id='176' ORDER BY ssrubr_id LIMIT 0,1

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    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='59133'

  7. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.336835678816 AND ville_latitude_deg<50.696564321184 AND ville_longitude_deg>2.7337987464589 AND ville_longitude_deg<3.2995412535411 HAVING distance <= 20 ORDER BY distance ASC

  8. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='sono'

  9. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='176'AND MATCH (wish_title,wish_desc) AGAINST ('+sono*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59133%'

  10. 0.0001

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  14. 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 (176) ORDER BY ssrubr_order ASC

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    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='sono' AND cate_id='176'

  16. 0.0001

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  17. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.336835678816 AND ville_latitude_deg<50.696564321184 AND ville_longitude_deg>2.7337987464589 AND ville_longitude_deg<3.2995412535411 HAVING distance <= 20 ORDER BY distance ASC

  18. 0.0045

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.067039197041 AND ville_latitude_deg<50.966360802959 AND ville_longitude_deg>2.309485768042 AND ville_longitude_deg<3.723854231958 HAVING distance <= 50 ORDER BY distance ASC

  19. 0.0663

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  21. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59133'

  22. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((50.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.336835678816 AND ville_latitude_deg<50.696564321184 AND ville_longitude_deg>2.7337987464589 AND ville_longitude_deg<3.2995412535411 HAVING distance <= 20 ORDER BY distance ASC

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  24. 0.0002

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    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 303170 AND W.type_id = 1) OR (W.util_id != 303170 AND W.type_id = 2)) AND (`post_util_id` = 303170 OR `dest_util_id` = 303170) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  27. 0.0001

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  29. 0.0004

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 339897 AND W.type_id = 1) OR (W.util_id != 339897 AND W.type_id = 2)) AND (`post_util_id` = 339897 OR `dest_util_id` = 339897) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

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  36. 0.0001

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  37. 0.0001

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  38. 0.0002

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  39. 0.0001

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  40. 0.0002

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  41. 0.0001

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  42. 0.0001

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  43. 0.0002

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  44. 0.0001

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  45. 0.0001

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  47. 0.0003

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  49. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='790' AND actu_niveau=0 ORDER BY actu_ordre DESC

  50. 0.0009

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

  51. 0

    SELECT count(*) as nbwish FROM wish

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    SELECT note.*, post.util_prenom as postp, post.util_nom as postn, dest.util_prenom as destp, dest.util_nom as destn, w.wish_id, w.wish_desc, w.fami_id FROM note, util_info dest, util_info post, wish w WHERE note.wish_id=w.wish_id AND note.post_util_id=post.util_id AND note.dest_util_id=dest.util_id AND note_visu IN (1,2,3,4) AND post_util_id<>'7' ORDER BY note_date DESC, note_hour DESC

52 requetes sql en 0.1871

Taille variable Globale : 76.21 KB