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Service pose cuisine à 95320 Saint-leu-la-forêt


Service pose cuisine : 1 annonces de pose cuisine entre particuliers à 95320 Saint-leu-la-forêt Vous voulez faire une installation de cuisine toute équipée ou vous cherchez une personne pour le montage de cuisine d'été ? Faire appel à un artisan cuisiniste pour faire votre plan de travail de cuisine et pour la pose de votre cuisine est essentiel pour l'agencement de votre cuisine. Faire poser sa cuisine doit être étudiée avec soins, même pour le montage de cuisine en kit et surtout pour la pose de cuisine sur mesure. Pour un prix de pose de cuisine pas cher, trouvez un voisin cuisiniste en extra autour de chez vous pour un service de pose de cuisine entre particuliers.
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Demander un service / jobbing de pose de cuisine ou proposer un service de pose de cuisine entre particuliers.
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    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 262874 AND W.type_id = 1) OR (W.util_id <> 262874 AND W.type_id = 2)) AND (M.post_util_id = 262874 OR M.dest_util_id = 262874) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

  64. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=262874 AND note_visu IN (1,3,4)

  65. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 312704 AND W.type_id = 1) OR (W.util_id <> 312704 AND W.type_id = 2)) AND (M.post_util_id = 312704 OR M.dest_util_id = 312704) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

  66. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=312704 AND note_visu IN (1,3,4)

  67. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 345647 AND W.type_id = 1) OR (W.util_id <> 345647 AND W.type_id = 2)) AND (M.post_util_id = 345647 OR M.dest_util_id = 345647) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

  68. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=345647 AND note_visu IN (1,3,4)

  69. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 308801 AND W.type_id = 1) OR (W.util_id <> 308801 AND W.type_id = 2)) AND (M.post_util_id = 308801 OR M.dest_util_id = 308801) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

  70. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=308801 AND note_visu IN (1,3,4)

  71. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 406054 AND W.type_id = 1) OR (W.util_id <> 406054 AND W.type_id = 2)) AND (M.post_util_id = 406054 OR M.dest_util_id = 406054) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

  72. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=406054 AND note_visu IN (1,3,4)

  73. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 439663 AND W.type_id = 1) OR (W.util_id <> 439663 AND W.type_id = 2)) AND (M.post_util_id = 439663 OR M.dest_util_id = 439663) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

  74. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=439663 AND note_visu IN (1,3,4)

  75. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 442077 AND W.type_id = 1) OR (W.util_id <> 442077 AND W.type_id = 2)) AND (M.post_util_id = 442077 OR M.dest_util_id = 442077) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

  76. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=442077 AND note_visu IN (1,3,4)

  77. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 458003 AND W.type_id = 1) OR (W.util_id <> 458003 AND W.type_id = 2)) AND (M.post_util_id = 458003 OR M.dest_util_id = 458003) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

  78. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=458003 AND note_visu IN (1,3,4)

  79. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 468320 AND W.type_id = 1) OR (W.util_id <> 468320 AND W.type_id = 2)) AND (M.post_util_id = 468320 OR M.dest_util_id = 468320) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

  80. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=468320 AND note_visu IN (1,3,4)

  81. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 501877 AND W.type_id = 1) OR (W.util_id <> 501877 AND W.type_id = 2)) AND (M.post_util_id = 501877 OR M.dest_util_id = 501877) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

  82. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=501877 AND note_visu IN (1,3,4)

  83. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 493329 AND W.type_id = 1) OR (W.util_id <> 493329 AND W.type_id = 2)) AND (M.post_util_id = 493329 OR M.dest_util_id = 493329) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

  84. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=493329 AND note_visu IN (1,3,4)

  85. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95320'

  86. 0.002

    SELECT ville_cp, ROUND((((acos(sin((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.836835678816 AND ville_latitude_deg<49.196564321184 AND ville_longitude_deg>1.9757488354746 AND ville_longitude_deg<2.5242511645254 HAVING distance <= 20 ORDER BY distance ASC

  87. 0.0139

    SELECT ville_cp, ROUND((((acos(sin((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.567039197041 AND ville_latitude_deg<49.466360802959 AND ville_longitude_deg>1.5643661764121 AND ville_longitude_deg<2.9356338235879 HAVING distance <= 50 ORDER BY distance ASC

  88. 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='pose cuisine; pose de cuisine' OR ssrubr_slug like '%pose cuisine; pose de cuisine%' OR MATCH (ssrubr_slug) AGAINST ('(+pose +cuisine; +pose +de +cuisine)')) AND sk.ssrubr_id='604' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

  89. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='604' AND actu_niveau=0 ORDER BY actu_ordre DESC

  90. 0.0001

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

  91. 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

  92. 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

  93. 0.0011

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

  94. 0.0227

    SELECT COUNT(*) AS nbavis FROM note n INNER JOIN util_info dest ON n.dest_util_id=dest.util_id INNER JOIN util_info post ON n.post_util_id=post.util_id INNER JOIN wish w ON n.wish_id=w.wish_id WHERE n.note_visu IN (1,2,3,4) AND n.post_util_id<>'7'

  95. 0.0161

    SELECT count(*) as nbwish FROM wish WHERE wish_visu IN (1,6,10)

95 requetes sql en 0.091

Taille variable Globale : 81.96 KB