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Location sécateur à 21000 Dijon


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Location › Matériel jardinage

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Location sécateur : 0 sécateur sécateurs à louer entre particuliers à 21000 Dijon Vous pouvez louer le sécateur d'un voisin pour quelques euros par jour. Voici les petites annonces de particuliers prêt à louer un sécateur.
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  1. 0.0001

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

  2. 0.0001

    SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=88

  3. 0.0001

    SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='21'

  4. 0.0001

    SELECT ville_nom FROM villes WHERE ville_cp='21000' AND ville_nom like '%dijon%' ORDER BY ville_population_2012 DESC LIMIT 0,1

  5. 0.0023

    SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%secateur%' OR ssrubr_title like '%secateur%' OR ssrubr_slug like '%secateur%') AND cate_id='88' 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='21000'

  7. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((47.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.136835678816 AND ville_latitude_deg<47.496564321184 AND ville_longitude_deg>4.7513616032165 AND ville_longitude_deg<5.2819783967835 HAVING distance <= 20 ORDER BY distance ASC

  8. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='sécateur'

  9. 0.0025

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='88'AND MATCH (wish_title,wish_desc) AGAINST ('+sécateur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '21000%'

  10. 0.0001

    SELECT * FROM texte WHERE cate_id=88

  11. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='sécateur' OR ssrubr_slug='sécateur' OR (ssrubr_title like '%sécateur%')) AND cate_id='88' 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='5' 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 (88) ORDER BY ssrubr_order ASC

  15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='secateur' AND cate_id='88'

  16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='21000'

  17. 0.0011

    SELECT ville_cp, ROUND((((acos(sin((47.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.136835678816 AND ville_latitude_deg<47.496564321184 AND ville_longitude_deg>4.7513616032165 AND ville_longitude_deg<5.2819783967835 HAVING distance <= 20 ORDER BY distance ASC

  18. 0.0041

    SELECT ville_cp, ROUND((((acos(sin((47.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5.01667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>46.867039197041 AND ville_latitude_deg<47.766360802959 AND ville_longitude_deg>4.353393288554 AND ville_longitude_deg<5.679946711446 HAVING distance <= 50 ORDER BY distance ASC

  19. 0.0931

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='88' AND MATCH (wish_desc) AGAINST ('(+sécateur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (21000,21000,21240,21121,21121,21300,21370,21600,21850,21121,21121,21160,21160,21160,21160,21600,21800,21800,21490,21380,21800,21490,21220,21490,21160,21370,21800,21800,21121,21380,21490,21600,21220,21560,21121,21220,21490,21110,21370,21490,21370,21910,21910,21490,21910,21220,21110,21410,21370,21110,21560,21560,21490,21110,21220,21220,21110,21380,21220,21220,21220,21910,21410,21121,21110,21380,21310,21490,21220,21220,21220,21560,21380,21910,21410,21110,21220,21380,21490,21220,21110,21700,21410,21410,21110,21640,21640,21640,21120,21540,21220,21910,21380,21700,21410,21410,21110,21410,21310,21440,21220,21110,21110,21220,21120,21110,21220,21110,21540,21270,21110,21310,21110,21410,21220,21120,21220,21310,21410,21110)

  20. 0.0593

    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((47.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5.01667- 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='88' AND MATCH (wish_desc) AGAINST ('(+sécateur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (21000,21000,21240,21121,21121,21300,21370,21600,21850,21121,21121,21160,21160,21160,21160,21600,21800,21800,21490,21380,21800,21490,21220,21490,21160,21370,21800,21800,21121,21380,21490,21600,21220,21560,21121,21220,21490,21110,21370,21490,21370,21910,21910,21490,21910,21220,21110,21410,21370,21110,21560,21560,21490,21110,21220,21220,21110,21380,21220,21220,21220,21910,21410,21121,21110,21380,21310,21490,21220,21220,21220,21560,21380,21910,21410,21110,21220,21380,21490,21220,21110,21700,21410,21410,21110,21640,21640,21640,21120,21540,21220,21910,21380,21700,21410,21410,21110,21410,21310,21440,21220,21110,21110,21220,21120,21110,21220,21110,21540,21270,21110,21310,21110,21410,21220,21120,21220,21310,21410,21110) 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=88 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

  22. 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='sécateur' OR ssrubr_slug like '%sécateur%' OR MATCH (ssrubr_slug) AGAINST ('(+sécateur)')) AND sk.ssrubr_id='888' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

  23. 0.0003

    SELECT ss.ssrubr_id, ss.ssrubr_slug, ss.ssrubr_title, ss.ssrubr_keywords, ss.ssrubr_mail, c.cate_title_slug FROM ssrubr ss INNER JOIN category c ON ss.cate_id = c.cate_id WHERE ss.ssrubr_visu = 1 AND ss.fami_id = 5 AND ss.cate_id = 88 AND ss.ssrubr_id <> 888 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

  24. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='888' AND actu_niveau=0 ORDER BY actu_ordre DESC

  25. 0.0009

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

  26. 0

    SELECT count(*) as nbwish FROM wish

  27. 0.0543

    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

27 requetes sql en 0.2219

Taille variable Globale : 73.78 KB