Indiquer un code postal ou une ville

Flèche vers le champ lieu

Service tailler haies à 60280 Margny-lès-compiègne


Retour
Fermer

Service › Jardinage

Lancez votre recherche pour voir les annonces.

Service tailler haies : 4 annonces de tailler haies entre particuliers à 60280 Margny-lès-compiègne La taille de haies est un travail long et difficile. Heureusement vous pouvez faire appel à des jardiniers particuliers pour tailler les haies de votre jardin. Avec ou sans le matériel de taille de haies, publiez votre annonce pour rechercher ou proposer la taille de haies en précisant bien dans l'annonce le matériel dont vous disposez et la surface concernée.
 ... voir la suite
Service taille de haies
Service taille de haies
Service : Entretien jardins
Profil du voisin
Jaïro G Voisin vérifié

2 km · Compiègne 60200

-- €

Demander une taille
Service taille de haies
Service taille de haies
Service : Jardinage
Profil du voisin
Ittig M

7 km · Jaux 60880

-- €

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



Publier une annonce « Service Tailler haies 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='jardinage'

  2. 0

    SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=38

  3. 0

    SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='60'

  4. 0.0001

    SELECT ville_nom FROM villes WHERE ville_cp='60280' AND ville_nom like '%margny%les%compiegne%' ORDER BY ville_population_2012 DESC LIMIT 0,1

  5. 0.0001

    SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%taille%de%haies%' OR ssrubr_title like '%taille%de%haies%' OR ssrubr_slug like '%taille%de%haies%') AND cate_id='38' 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='60280'

  7. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((49.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.81667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.253435678816 AND ville_latitude_deg<49.613164321184 AND ville_longitude_deg>2.5400968204635 AND ville_longitude_deg<3.0932431795365 HAVING distance <= 20 ORDER BY distance ASC

  8. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='taille haie; taille de haies'

  9. 0.0008

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='38'AND MATCH (wish_title,wish_desc) AGAINST ('+taille haie; taille de haies*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '60280%'

  10. 0.0001

    SELECT * FROM texte WHERE cate_id=38

  11. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='taille haie; taille de haies' OR ssrubr_slug='taille-haie;-taille-de-haies' OR (ssrubr_title like '%taille haie; taille de haies%')) AND cate_id='38' 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 (38) ORDER BY ssrubr_order ASC

  15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='taille-de-haies' AND cate_id='38'

  16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='60280'

  17. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((49.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.81667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.253435678816 AND ville_latitude_deg<49.613164321184 AND ville_longitude_deg>2.5400968204635 AND ville_longitude_deg<3.0932431795365 HAVING distance <= 20 ORDER BY distance ASC

  18. 0.0055

    SELECT ville_cp, ROUND((((acos(sin((49.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.81667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.983639197041 AND ville_latitude_deg<49.882960802959 AND ville_longitude_deg>2.1252310888269 AND ville_longitude_deg<3.5081089111731 HAVING distance <= 50 ORDER BY distance ASC

  19. 0.0494

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='3' AND cate_id='38' AND MATCH (wish_desc) AGAINST ('(+taille +haie; +taille +de +haies*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (60280,60280,60200,60200,60200,60200,60150,60150,60150,60750,60150,60150,60113,60113,60190,60113,60880,60880,60680,60150,60190,60150,60490,60150,60150,60162,60150,60150,60162,60190,60490,60880,60170,60610,60490,60190,60153,60490,60680,60350,60680,60190,60126,60170,60157,60190,60170,60350,60190,60126,60350,60170,60190,60190,60490,60190,60170,60320,60170,60710,60170,60490,60490,60680,60310,60410,60190,60350,60320,60320,60310,60350,60190,60710,60350,60410,60490,60170,60190,60138,60129,60490,60310,60190,60190,60410,60310,60350,60400,60490,60400,60420,60490,60310,60310,60310,60320,60350,60190,60310,60127,60410,60129,60170,60700,60350,60129,60310,60410,60490,60310,60190,60190,60350,60190,60350,60190,60127,60420,60350,60700,60190,60800,60400,60420,60310,60350,60400,60800,60129,60490,60400,60400,60700,60410,60190,60190,60350,60350,02600,60490,60350,60190,60190,60400,60490,60490,60810,60400)

  20. 0.0351

    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((49.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.81667- 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='38' AND MATCH (wish_desc) AGAINST ('(+taille +haie; +taille +de +haies*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (60280,60280,60200,60200,60200,60200,60150,60150,60150,60750,60150,60150,60113,60113,60190,60113,60880,60880,60680,60150,60190,60150,60490,60150,60150,60162,60150,60150,60162,60190,60490,60880,60170,60610,60490,60190,60153,60490,60680,60350,60680,60190,60126,60170,60157,60190,60170,60350,60190,60126,60350,60170,60190,60190,60490,60190,60170,60320,60170,60710,60170,60490,60490,60680,60310,60410,60190,60350,60320,60320,60310,60350,60190,60710,60350,60410,60490,60170,60190,60138,60129,60490,60310,60190,60190,60410,60310,60350,60400,60490,60400,60420,60490,60310,60310,60310,60320,60350,60190,60310,60127,60410,60129,60170,60700,60350,60129,60310,60410,60490,60310,60190,60190,60350,60190,60350,60190,60127,60420,60350,60700,60190,60800,60400,60420,60310,60350,60400,60800,60129,60490,60400,60400,60700,60410,60190,60190,60350,60350,02600,60490,60350,60190,60190,60400,60490,60490,60810,60400) 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='60280'

  22. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((49.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.81667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.253435678816 AND ville_latitude_deg<49.613164321184 AND ville_longitude_deg>2.5400968204635 AND ville_longitude_deg<3.0932431795365 HAVING distance <= 20 ORDER BY distance ASC

  23. 0.0054

    SELECT ville_cp, ROUND((((acos(sin((49.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.81667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.983639197041 AND ville_latitude_deg<49.882960802959 AND ville_longitude_deg>2.1252310888269 AND ville_longitude_deg<3.5081089111731 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 = 196279 AND W.type_id = 1) OR (W.util_id != 196279 AND W.type_id = 2)) AND (`post_util_id` = 196279 OR `dest_util_id` = 196279) 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=196279 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 = 493346 AND W.type_id = 1) OR (W.util_id != 493346 AND W.type_id = 2)) AND (`post_util_id` = 493346 OR `dest_util_id` = 493346) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=493346 AND note_visu IN (1,3,4)

  28. 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='530' LIMIT 0,1

  29. 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 = 196279 AND W.type_id = 1) OR (W.util_id != 196279 AND W.type_id = 2)) AND (`post_util_id` = 196279 OR `dest_util_id` = 196279) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  30. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 196279

  31. 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='530' LIMIT 0,1

  32. 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 = 493346 AND W.type_id = 1) OR (W.util_id != 493346 AND W.type_id = 2)) AND (`post_util_id` = 493346 OR `dest_util_id` = 493346) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  33. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 493346

  34. 0.0001

    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=38 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

  35. 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='taille haie; taille de haies' OR ssrubr_slug like '%taille haie; taille de haies%' OR MATCH (ssrubr_slug) AGAINST ('(+taille +haie; +taille +de +haies)')) AND sk.ssrubr_id='530' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

  36. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='530' AND actu_niveau=0 ORDER BY actu_ordre DESC

  37. 0.0008

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

  38. 0

    SELECT count(*) as nbwish FROM wish

  39. 0.0465

    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

39 requetes sql en 0.1509

Taille variable Globale : 53.76 KB