Indiquer un code postal ou une ville

Flèche vers le champ lieu

Location cloueuse à 76890 Beauval-en-caux


Location cloueuse
Location cloueuse
Cloueuse ryobi 18v
Profil du voisin
Dimitri B Voisin vérifié

11 km · Beauval-en-Caux 76890

15€/j

Louer la cloueuse
Demander à louer une cloueuse ou proposer une cloueuse en location entre particuliers.
Poster une annonce

   Cloueuse electrique    Cloueuse pneumatique    Cloueuse sans fil    Cloueuse ryobi    Cloueuse charpente    Cloueuse a gaz    Cloueuse manuelle    Cloueuse agrafeuse pneumatique    Cloueuse a batterie


Publier une annonce « Location Cloueuse entre particuliers »

Trouver

Trouver
Demandes des voisins

Demandes

 créer une annonce
Messagerie

Messages

 Mon profil

Profil

Assistance support Kiwiiz

Comment pouvons-nous vous aider ?

Script : /wall.php

  1. 0.0001

    SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='materiel-bricolage'

  2. 0

    SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=87

  3. 0.0001

    SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='76'

  4. 0.0001

    SELECT ville_nom FROM villes WHERE ville_cp='76890' AND ville_nom like '%beauval%en%caux%' ORDER BY ville_population_2012 DESC LIMIT 0,1

  5. 0.0013

    SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%cloueuse%' OR ssrubr_title like '%cloueuse%' OR ssrubr_slug like '%cloueuse%') AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

  6. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='76890'

  7. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((49.7445*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.7445*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.01861- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.564635678816 AND ville_latitude_deg<49.924364321184 AND ville_longitude_deg>0.74026678682809 AND ville_longitude_deg<1.2969532131719 HAVING distance <= 20 ORDER BY distance ASC

  8. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='cloueuse'

  9. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+cloueuse*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '76890%'

  10. 0.0001

    SELECT * FROM texte WHERE cate_id=87

  11. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='cloueuse' OR ssrubr_slug='cloueuse' OR (ssrubr_title like '%cloueuse%')) AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

  12. 0.0001

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

  13. 0.0001

    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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

  14. 0.0003

    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 (87) ORDER BY ssrubr_order ASC

  15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='cloueuse' AND cate_id='87'

  16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='76890'

  17. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((49.7445*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.7445*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.01861- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.564635678816 AND ville_latitude_deg<49.924364321184 AND ville_longitude_deg>0.74026678682809 AND ville_longitude_deg<1.2969532131719 HAVING distance <= 20 ORDER BY distance ASC

  18. 0.0041

    SELECT ville_cp, ROUND((((acos(sin((49.7445*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.7445*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.01861- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.294839197041 AND ville_latitude_deg<50.194160802959 AND ville_longitude_deg>0.32274596658004 AND ville_longitude_deg<1.71447403342 HAVING distance <= 50 ORDER BY distance ASC

  19. 0.1187

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='87' AND MATCH (wish_desc) AGAINST ('(+cloueuse*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (76890,76890,76730,76730,76590,76890,76730,76890,76890,76730,76730,76590,76890,76890,76890,76720,76730,76590,76730,76720,76730,76590,76730,76890,76730,76890,76590,76890,76730,76730,76890,76590,76590,76890,76730,76590,76890,76760,76730,76730,76890,76560,76590,76590,76730,76590,76720,76730,76560,76590,76760,76730,76760,76730,76560,76590,76590,76730,76560,76730,76890,76760,76890,76810,76590,76590,76560,76720,76890,76890,76850,76810,76740,76850,76550,76680,76760,76850,76590,76590,76760,76760,76560,76550,76810,76890,76590,76740,76740,76570,76550,76730,76560,76590,76850,76560,76690,76560,76550,76590,76560,76550,76850,76550,76760,76760,76550,76860,76890,76590,76760,76860,76740,76740,76570,76850,76740,76560,76560,76590,76570,76560,76760,76740,76850,76690,76860,76970,76740,76560,76950,76740,76740,76560,76690,76680,76690,76570,76880,76570,76850,76850,76550,76970,76680,76740,76880,76690,76740,76680,76370,76690,76740,76510,76710,76570,76970,76740,76740,76510,76510,76690,76860,76119,76510,76850,76970,76190,76460,76119,76560,76450,76190,76510,76740,76460,76370,76460,76570,76190)

  20. 0.0966

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((49.7445*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.7445*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.01861- 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='5' AND cate_id='87' AND MATCH (wish_desc) AGAINST ('(+cloueuse*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (76890,76890,76730,76730,76590,76890,76730,76890,76890,76730,76730,76590,76890,76890,76890,76720,76730,76590,76730,76720,76730,76590,76730,76890,76730,76890,76590,76890,76730,76730,76890,76590,76590,76890,76730,76590,76890,76760,76730,76730,76890,76560,76590,76590,76730,76590,76720,76730,76560,76590,76760,76730,76760,76730,76560,76590,76590,76730,76560,76730,76890,76760,76890,76810,76590,76590,76560,76720,76890,76890,76850,76810,76740,76850,76550,76680,76760,76850,76590,76590,76760,76760,76560,76550,76810,76890,76590,76740,76740,76570,76550,76730,76560,76590,76850,76560,76690,76560,76550,76590,76560,76550,76850,76550,76760,76760,76550,76860,76890,76590,76760,76860,76740,76740,76570,76850,76740,76560,76560,76590,76570,76560,76760,76740,76850,76690,76860,76970,76740,76560,76950,76740,76740,76560,76690,76680,76690,76570,76880,76570,76850,76850,76550,76970,76680,76740,76880,76690,76740,76680,76370,76690,76740,76510,76710,76570,76970,76740,76740,76510,76510,76690,76860,76119,76510,76850,76970,76190,76460,76119,76560,76450,76190,76510,76740,76460,76370,76460,76570,76190) AND type_id=1 GROUP BY wish_id

  21. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='76890'

  22. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((49.7445*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.7445*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.01861- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.564635678816 AND ville_latitude_deg<49.924364321184 AND ville_longitude_deg>0.74026678682809 AND ville_longitude_deg<1.2969532131719 HAVING distance <= 20 ORDER BY distance ASC

  23. 0.0041

    SELECT ville_cp, ROUND((((acos(sin((49.7445*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.7445*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.01861- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.294839197041 AND ville_latitude_deg<50.194160802959 AND ville_longitude_deg>0.32274596658004 AND ville_longitude_deg<1.71447403342 HAVING distance <= 50 ORDER BY distance ASC

  24. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 313063 AND W.type_id = 1) OR (W.util_id != 313063 AND W.type_id = 2)) AND (`post_util_id` = 313063 OR `dest_util_id` = 313063) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=313063 AND note_visu IN (1,3,4)

  26. 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='756' LIMIT 0,1

  27. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 313063 AND W.type_id = 1) OR (W.util_id != 313063 AND W.type_id = 2)) AND (`post_util_id` = 313063 OR `dest_util_id` = 313063) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  28. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 313063

  29. 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=87 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

  30. 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='cloueuse' OR ssrubr_slug like '%cloueuse%' OR MATCH (ssrubr_slug) AGAINST ('(+cloueuse)')) AND sk.ssrubr_id='756' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

  31. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='756' AND actu_niveau=0 ORDER BY actu_ordre DESC

  32. 0.0009

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

  33. 0

    SELECT count(*) as nbwish FROM wish

  34. 0.0475

    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

34 requetes sql en 0.2804

Taille variable Globale : 74.7 KB