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Location extracteur jus à 94240 L'haÿ-les-roses


Location extracteur de jus
Location extracteur de jus
Extracteur de jus
Profil du voisin
Virginie R

13 km · Savigny-sur-Orge 91600

20€/j

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  3. 0

    SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='94'

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    SELECT ville_nom FROM villes WHERE ville_cp='94240' AND ville_nom like '%l%hay%les%roses%' ORDER BY ville_population_2012 DESC LIMIT 0,1

  5. 0.0017

    SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%extracteur%de%jus%' OR ssrubr_title like '%extracteur%de%jus%' OR ssrubr_slug like '%extracteur%de%jus%') AND cate_id='207' ORDER BY ssrubr_id LIMIT 0,1

  6. 0.0001

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  7. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.603435678816 AND ville_latitude_deg<48.963164321184 AND ville_longitude_deg>2.0603565120265 AND ville_longitude_deg<2.6063034879735 HAVING distance <= 20 ORDER BY distance ASC

  8. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='extracteur jus; extracteur de jus'

  9. 0.0006

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='207'AND MATCH (wish_title,wish_desc) AGAINST ('+extracteur jus; extracteur de jus*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '94240%'

  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='extracteur jus; extracteur de jus' OR ssrubr_slug='extracteur-jus;-extracteur-de-jus' OR (ssrubr_title like '%extracteur jus; extracteur de jus%')) AND cate_id='207' ORDER BY ssrubr_id LIMIT 0,1

  12. 0.0001

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  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

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  16. 0

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94240'

  17. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.603435678816 AND ville_latitude_deg<48.963164321184 AND ville_longitude_deg>2.0603565120265 AND ville_longitude_deg<2.6063034879735 HAVING distance <= 20 ORDER BY distance ASC

  18. 0.0056

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  19. 0.0365

    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 ('(+extracteur +jus; +extracteur +de +jus*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94240,94234,94236,94233,94230,94232,94235,94238,94239,94231,94240,94237,92340,94110,94550,94800,92220,92330,92260,94250,94260,94150,92120,94320,92320,92160,92240,94270,92350,94400,94205,94200,92290,92140,91320,92170,94390,94310,92130,91370,94140,94600,91300,94220,92360,92190,94700,91550,92100,94160,94290,75016,75017,75020,75013,75018,75116,75019,75015,75014,75002,75003,75005,75006,75007,75008,75000,75001,75012,75009,75010,75011,75004,91200,91420,91570,91160,91380,94480,91120,94000,94410,92370,91430,94190,94300,94460,94340,92310,91160,92210,91270,91140,93170,78140,94380,91430,91560,92410,91260,93100,92800,92150,92200,93310,91160,94130,94450,94210,78350,94100,78220,94340,91230,91210,92380,92430,92420,91360,93400,91390,91360,91600,92110,94120,93230,93260,91140,91400,91160,91170,92300,94430,93500,94500,94470,92400,94170,91330,92250,93110,91400,94360,92600,78000,94380,94370,78530,78350,92500,93130,91700,91350,93300,93120,91440,91800,78170,93000,92270,91620,94880,94490,94880,78150,91000,91130,92700,92000,93140,78117,93360,93330,91190,94440,93250,91620,91940,92390,91700,93450,93210,93200,78150,94350,94440,92230,91700,91240,91310,91450,78380,78290,91310,91310,78400,91860,94420,91190,78800,93350,91940,78117,91460,94510,78430,93220,94520,94520,91190,91940,91800,78420,91220,91220,93160,93800,94440,93340,93320,93700,93150,95870,91090,91000,91070,93240,91080,91450,78560,93460,93430,95100,91310,93440,91480,78210,78280,78870,77170,77340,78360)

  20. 0.0378

    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((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- 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 ('(+extracteur +jus; +extracteur +de +jus*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94240,94234,94236,94233,94230,94232,94235,94238,94239,94231,94240,94237,92340,94110,94550,94800,92220,92330,92260,94250,94260,94150,92120,94320,92320,92160,92240,94270,92350,94400,94205,94200,92290,92140,91320,92170,94390,94310,92130,91370,94140,94600,91300,94220,92360,92190,94700,91550,92100,94160,94290,75016,75017,75020,75013,75018,75116,75019,75015,75014,75002,75003,75005,75006,75007,75008,75000,75001,75012,75009,75010,75011,75004,91200,91420,91570,91160,91380,94480,91120,94000,94410,92370,91430,94190,94300,94460,94340,92310,91160,92210,91270,91140,93170,78140,94380,91430,91560,92410,91260,93100,92800,92150,92200,93310,91160,94130,94450,94210,78350,94100,78220,94340,91230,91210,92380,92430,92420,91360,93400,91390,91360,91600,92110,94120,93230,93260,91140,91400,91160,91170,92300,94430,93500,94500,94470,92400,94170,91330,92250,93110,91400,94360,92600,78000,94380,94370,78530,78350,92500,93130,91700,91350,93300,93120,91440,91800,78170,93000,92270,91620,94880,94490,94880,78150,91000,91130,92700,92000,93140,78117,93360,93330,91190,94440,93250,91620,91940,92390,91700,93450,93210,93200,78150,94350,94440,92230,91700,91240,91310,91450,78380,78290,91310,91310,78400,91860,94420,91190,78800,93350,91940,78117,91460,94510,78430,93220,94520,94520,91190,91940,91800,78420,91220,91220,93160,93800,94440,93340,93320,93700,93150,95870,91090,91000,91070,93240,91080,91450,78560,93460,93430,95100,91310,93440,91480,78210,78280,78870,77170,77340,78360) AND type_id=1 GROUP BY wish_id

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    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94240'

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    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.603435678816 AND ville_latitude_deg<48.963164321184 AND ville_longitude_deg>2.0603565120265 AND ville_longitude_deg<2.6063034879735 HAVING distance <= 20 ORDER BY distance ASC

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    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.333639197041 AND ville_latitude_deg<49.232960802959 AND ville_longitude_deg>1.650890395336 AND ville_longitude_deg<3.015769604664 HAVING distance <= 50 ORDER BY distance ASC

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    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 467155 AND W.type_id = 1) OR (W.util_id != 467155 AND W.type_id = 2)) AND (`post_util_id` = 467155 OR `dest_util_id` = 467155) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

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    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=467155 AND note_visu IN (1,3,4)

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    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='961' LIMIT 0,1

  27. 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 = 467155 AND W.type_id = 1) OR (W.util_id != 467155 AND W.type_id = 2)) AND (`post_util_id` = 467155 OR `dest_util_id` = 467155) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

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  29. 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

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    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='extracteur jus; extracteur de jus' OR ssrubr_slug like '%extracteur jus; extracteur de jus%' OR MATCH (ssrubr_slug) AGAINST ('(+extracteur +jus; +extracteur +de +jus)')) AND sk.ssrubr_id='961' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

  31. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='961' AND actu_niveau=0 ORDER BY actu_ordre DESC

  32. 0.0008

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

  33. 0

    SELECT count(*) as nbwish FROM wish

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    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

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