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Location frigo à 28500 Vernouillet


Location frigo : 1 frigo frigos à louer entre particuliers à 28500 Vernouillet Votre réfrigérateur (ou frigo) est panne ou vous venez de vous installer, vous pouvez louer de frigo d'un particulier avant d'en acheter un nouveau. Des particuliers proposent des réfrigérateurs à la location, voici leurs petites annonces.
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Script : /wall.php

  1. 0.0001

    SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='electromenager'

  2. 0

    SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=207

  3. 0

    SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='28'

  4. 0.0001

    SELECT ville_nom FROM villes WHERE ville_cp='28500' AND ville_nom like '%vernouillet%' ORDER BY ville_population_2012 DESC LIMIT 0,1

  5. 0.0012

    SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%refrigerateur%' OR ssrubr_title like '%refrigerateur%' OR ssrubr_slug like '%refrigerateur%') AND cate_id='207' 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='28500'

  7. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.41667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>1.144058085411 AND ville_longitude_deg<1.689281914589 HAVING distance <= 20 ORDER BY distance ASC

  8. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='réfrigérateur'

  9. 0.0007

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='207'AND MATCH (wish_title,wish_desc) AGAINST ('+réfrigérateur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '28500%'

  10. 0.0001

    SELECT * FROM texte WHERE cate_id=207

  11. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='réfrigérateur' OR ssrubr_slug='réfrigérateur' OR (ssrubr_title like '%réfrigérateur%')) AND cate_id='207' 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 (207) ORDER BY ssrubr_order ASC

  15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='refrigerateur' AND cate_id='207'

  16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='28500'

  17. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.41667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>1.144058085411 AND ville_longitude_deg<1.689281914589 HAVING distance <= 20 ORDER BY distance ASC

  18. 0.0069

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.41667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.267039197041 AND ville_latitude_deg<49.166360802959 AND ville_longitude_deg>0.73513433659191 AND ville_longitude_deg<2.0982056634081 HAVING distance <= 50 ORDER BY distance ASC

  19. 0.039

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='207' AND MATCH (wish_desc) AGAINST ('(+réfrigérateur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (28500,28500,28500,28500,28500,28500,28500,28500,28500,28100,28500,28500,28500,28500,28500,28210,28210,28500,28410,27650,28570,28210,28410,28210,28500,28410,28210,28210,28500,27710,28210,28500,28170,28500,27650,28500,28410,28170,28500,28210,28410,28500,28410,28210,28210,28210,27650,27810,28210,28410,27320,28500,28210,28210,28410,28170,28170,28380,28520,28520,28270,78113,28170,28260,28210,78113,28270,78113,27320,28260,28260,28260,78550,28410,27770,28130,28350,78550,28130,28170,28210,27220,28170,27530,27320,28170,27320,27220,28260,28560,78113,28270,78550,27220,78125,27220,28560,28260,28130,78125,28130,78113,28300,78550,78113,28300,27220,27540,78950,28260,78910,28170,28130,27320)

  20. 0.0348

    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((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.41667- 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='207' AND MATCH (wish_desc) AGAINST ('(+réfrigérateur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (28500,28500,28500,28500,28500,28500,28500,28500,28500,28100,28500,28500,28500,28500,28500,28210,28210,28500,28410,27650,28570,28210,28410,28210,28500,28410,28210,28210,28500,27710,28210,28500,28170,28500,27650,28500,28410,28170,28500,28210,28410,28500,28410,28210,28210,28210,27650,27810,28210,28410,27320,28500,28210,28210,28410,28170,28170,28380,28520,28520,28270,78113,28170,28260,28210,78113,28270,78113,27320,28260,28260,28260,78550,28410,27770,28130,28350,78550,28130,28170,28210,27220,28170,27530,27320,28170,27320,27220,28260,28560,78113,28270,78550,27220,78125,27220,28560,28260,28130,78125,28130,78113,28300,78550,78113,28300,27220,27540,78950,28260,78910,28170,28130,27320) AND type_id=1 GROUP BY wish_id

  21. 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=207 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

  22. 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='réfrigérateur' OR ssrubr_slug like '%réfrigérateur%' OR MATCH (ssrubr_slug) AGAINST ('(+réfrigérateur)')) AND sk.ssrubr_id='702' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

  23. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='702' AND actu_niveau=0 ORDER BY actu_ordre DESC

  24. 0.0009

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

  25. 0

    SELECT count(*) as nbwish FROM wish

  26. 0.0453

    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

26 requetes sql en 0.1345

Taille variable Globale : 73.78 KB