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Annonces similaires

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Location parking dans residence
Location parking dans residence
PARKING - QUARTIER ST AUGUSTIN/PELLEGRIN
Profil du voisin
Nat K

Bordeaux 33000

85€/m

Louer le parking
Location parking dans residence
Location parking dans residence
PLACE DE PARKING
Profil du voisin
Dimitri B

Bordeaux 33000

70€/m

Louer le parking
Location parking dans residence
Location parking dans residence
PARKING SéCURISé NANSOUTY / GARE DE BO
Profil du voisin
Adrien V

Bordeaux 33800

85€/m

Louer le parking
Location parking dans residence
Location parking dans residence
LOCATION PLACE DE PARKING (6 MOIS)
Profil du voisin
Maeva D

Cenon 33150

85€/m

Louer le parking

Louer un garage/parking entre particuliers ou proposer un garage/parking en location.

Poster une annonce

Assistance support Kiwiiz

Comment pouvons-nous vous aider ?

Script : /wiiz-annonce.php

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    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 (93) ORDER BY ssrubr_order ASC

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    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 (193) ORDER BY ssrubr_order ASC

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    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 (91) ORDER BY ssrubr_order ASC

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  30. 0

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  33. 0

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  34. 0

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  35. 0.0002

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  36. 0.0001

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  38. 0.0001

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  39. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='33110'

  40. 0.0031

    SELECT ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((44.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((44.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.616667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>44.417039197041 AND ville_latitude_deg<45.316360802959 AND ville_longitude_deg>-1.2511155926603 AND ville_longitude_deg<0.017781592660288 HAVING distance <= 50 ORDER BY distance ASC

  41. 0.0011

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id FROM wish LEFT JOIN util_info ui ON wish.util_id=ui.util_id WHERE wish_visu IN (1,6,10) AND wish_cp IN (33110,33114,33520,33320,33700,33185,33320,33072,33200,33800,33000,33300,33100,33290,33400,33310,33150,33600,33270,33370,33530,33560,33290,33270,33130,33160,33170,33290,33440,33560,33610,33370,33370,33440,33140,33127,33360,33290,33360,33370,33127,33360,33140,33370,33850,33160,33440,33450,33460,33610,33450,33360,33360,33460,33370,33460,33750,33360,33240,33370,33810,33450,33240,33670,33650,33880,33160,33370,33460,33670,33240,33640,33880,33710,33750,33650,33240,33950,33450,33460,33710,33710,33710,33460,33670,33240,33880,33480,33640,33650,33240,33710,33710,33240,33670,33240,33240,33240,33640,33710,33710,33240,33550,33670,33750,33710,33710,33480,33460,33550,33750,33480,33240,33240,33550,33870,33240,33710,33650,33710,33240,33640,33750,33640,33710,33650,33126,33126,33670,33710,33480,33240,33650,33240,33240,33390,33550,33710,33500,33750,33670,33750,33126,33460,33240,33750,33240,33141,33380,33550,33920,33390,33640,33480,33126,33620,33550,33420,33420,33620,33240,33460,33680,33420,33550,33390,33680,33420,33390,33141,33670,33420,33650,33114,33410,33550,33720,33620,33510,33133,33500,33920,33670,33420,33720,33760,33920,33620,33390,33390,33500,33390,33420,33620,33620,33720,33410,33420,33920,33480,33920,33910,33910,33910,33760,33390,33390,33390,33620,33760,33920,33500,33500,33420,33330,33410,33720,33760,33420,33250,33420,33410,33910,33760,33500,33410,33390,33390,33390,33420,33112,33390,33760,33330,33920,33620,33620,33720,33410,33420,33760,33760,33910,33720,33420,33920,33980,33760,33760,33720,33910,33760,33230,33410,33760,33410,33420,33330,33720,33760,33125,33680,33760,33380,33138,33760,33760,33330,33410,33570,33420,33250,33680,33570,33380,33910,33230,33760,33760,33390,33125,33760,33820,33410,33210,33350,33230,33330,33490,33420,33210,33770,33420,33330,33330,33330,33410,33125,33540,33470,33540,33250,33410,33490,33540,33720,33350,33113,33230,17210,33121,33570,33860,33540,33210,33540,33230,33350,33250,33820,33970,33740,33490,33350,33830,33210,33490,33350,33350,17210,33210,33350,33350,33570,33470,33230,33490,17270,33490,33860,33490,33820,33210,33730,33860,33570,33540,33540,33180,33210,33350,33210,33490,33180,33540,33350,17360,33540,33540,33350,33230,33125,17130,33820,33350,33350,33730,17270,33350,33490,33210,33350,33350,33350,33830,33230,33490,33540,33570,33180,33820,33660,33190,33540,33115,33260,33210,33350,33730,33570,33490,33660,33540,33570,33120,33350,33210,33210,33210,33113,17210,17130,33190,17270,33113,33490,33210,33820) AND fami_id='5' AND cate_id='79' AND type_id='1' AND ssrubr_id='520' AND wish_id<>'379362' AND wish_url='' ORDER BY rand() LIMIT 0,10

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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 = 89809 AND W.type_id = 1) OR (W.util_id != 89809 AND W.type_id = 2)) AND (`post_util_id` = 89809 OR `dest_util_id` = 89809) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

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  50. 0.0001

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  51. 0.0001

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  52. 0.0001

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  53. 0.0001

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  54. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo 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='520' LIMIT 0,1

  55. 0.0001

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  56. 0.0001

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  57. 0.0001

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  58. 0

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  59. 0.0008

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

  60. 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

61 requetes sql en 0.0591

Taille variable Globale : 76.09 KB