Indiquer un code postal ou une ville

Flèche vers le champ lieu

Service tapissier à 78730 Saint-arnoult-en-yvelines


Retour
Fermer

Service › Bricoleur

Lancez votre recherche pour voir les annonces.

Service tapissier
Service tapissier
Tapissier décorateur
Profil du voisin
Leah M

5 km · Saint-Arnoult-en-Yvelines 78730

45€/h

Service tapissier
Service tapissier
Tapissier décorateur
Profil du voisin
Leah M

13 km · Limours 91470

45€/h

Demander un service / jobbing de tapissier ou proposer un service de tapissier entre particuliers.
Poster une annonce



Publier une annonce « Service Tapissier 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='3' AND cate_title_slug='bricolage'

  2. 0.0001

    SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=50

  3. 0.0001

    SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='78'

  4. 0.0001

    SELECT ville_nom FROM villes WHERE ville_cp='78730' AND ville_nom like '%saint%arnoult%en%yvelines%' 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 '%tapissier%' OR ssrubr_title like '%tapissier%' OR ssrubr_slug like '%tapissier%') AND cate_id='50' 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='78730'

  7. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((48.55*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.55*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.370135678816 AND ville_latitude_deg<48.729864321184 AND ville_longitude_deg>1.6282873140569 AND ville_longitude_deg<2.1717126859431 HAVING distance <= 20 ORDER BY distance ASC

  8. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='tapissier'

  9. 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 ('+tapissier*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '78730%'

  10. 0.0001

    SELECT * FROM texte WHERE cate_id=50

  11. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='tapissier' OR ssrubr_slug='tapissier' OR (ssrubr_title like '%tapissier%')) AND cate_id='50' 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. 0.0002

    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

  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 (50) ORDER BY ssrubr_order ASC

  15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='tapissier' AND cate_id='50'

  16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78730'

  17. 0.0015

    SELECT ville_cp, ROUND((((acos(sin((48.55*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.55*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.370135678816 AND ville_latitude_deg<48.729864321184 AND ville_longitude_deg>1.6282873140569 AND ville_longitude_deg<2.1717126859431 HAVING distance <= 20 ORDER BY distance ASC

  18. 0.0049

    SELECT ville_cp, ROUND((((acos(sin((48.55*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.55*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.100339197041 AND ville_latitude_deg<48.999660802959 AND ville_longitude_deg>1.2207124275922 AND ville_longitude_deg<2.5792875724078 HAVING distance <= 50 ORDER BY distance ASC

  19. 0.0888

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='3' AND cate_id='50' AND MATCH (wish_desc) AGAINST ('(+tapissier*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (78730,78730,78730,78120,78730,78660,78660,91410,78660,78120,78730,78125,78730,78660,91410,78660,78125,78660,91410,78720,91410,91410,78660,91410,78830,28700,28700,91410,91410,78120,28320,78830,91410,91530,78125,91470,28700,78125,28700,78125,91530,78720,91410,78125,28700,28700,28320,28700,28700,91410,28320,28700,28700,91470,28700,91150,28230,91530,78720,91530,91580,91870,91470,91780,78610,91640,28700,78610,28700,78460,28320,91470,78125,28230,91640,78610,91470,91780,91780,78720,78720,28320,28700,78125,91470,91580,78690,28700,28700,91650,78320,28700,78125,28700,91680,28130,28700,28700,91650,91640,78460)

  20. 0.057

    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((48.55*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.55*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.9- 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 ('(+tapissier*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (78730,78730,78730,78120,78730,78660,78660,91410,78660,78120,78730,78125,78730,78660,91410,78660,78125,78660,91410,78720,91410,91410,78660,91410,78830,28700,28700,91410,91410,78120,28320,78830,91410,91530,78125,91470,28700,78125,28700,78125,91530,78720,91410,78125,28700,28700,28320,28700,28700,91410,28320,28700,28700,91470,28700,91150,28230,91530,78720,91530,91580,91870,91470,91780,78610,91640,28700,78610,28700,78460,28320,91470,78125,28230,91640,78610,91470,91780,91780,78720,78720,28320,28700,78125,91470,91580,78690,28700,28700,91650,78320,28700,78125,28700,91680,28130,28700,28700,91650,91640,78460) 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='78730'

  22. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((48.55*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.55*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.370135678816 AND ville_latitude_deg<48.729864321184 AND ville_longitude_deg>1.6282873140569 AND ville_longitude_deg<2.1717126859431 HAVING distance <= 20 ORDER BY distance ASC

  23. 0.0049

    SELECT ville_cp, ROUND((((acos(sin((48.55*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.55*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.9- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.100339197041 AND ville_latitude_deg<48.999660802959 AND ville_longitude_deg>1.2207124275922 AND ville_longitude_deg<2.5792875724078 HAVING distance <= 50 ORDER BY distance ASC

  24. 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 = 247128 AND W.type_id = 1) OR (W.util_id != 247128 AND W.type_id = 2)) AND (`post_util_id` = 247128 OR `dest_util_id` = 247128) 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=247128 AND note_visu IN (1,3,4)

  26. 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 = 247128 AND W.type_id = 1) OR (W.util_id != 247128 AND W.type_id = 2)) AND (`post_util_id` = 247128 OR `dest_util_id` = 247128) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  27. 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='590' LIMIT 0,1

  28. 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 = 247128 AND W.type_id = 1) OR (W.util_id != 247128 AND W.type_id = 2)) AND (`post_util_id` = 247128 OR `dest_util_id` = 247128) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  29. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 247128

  30. 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='590' LIMIT 0,1

  31. 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 = 247128 AND W.type_id = 1) OR (W.util_id != 247128 AND W.type_id = 2)) AND (`post_util_id` = 247128 OR `dest_util_id` = 247128) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  32. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 247128

  33. 0.0002

    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

  34. 0.0001

    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='tapissier' OR ssrubr_slug like '%tapissier%' OR MATCH (ssrubr_slug) AGAINST ('(+tapissier)')) AND sk.ssrubr_id='590' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

  35. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='590' AND actu_niveau=0 ORDER BY actu_ordre DESC

  36. 0.0009

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

  37. 0

    SELECT count(*) as nbwish FROM wish

  38. 0.0511

    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

38 requetes sql en 0.2157

Taille variable Globale : 53.29 KB