Indiquer un code postal ou une ville

Flèche vers le champ lieu

Service tresses africaines à 92140 Clamart


Retour
Fermer

Service › Coiffure/esthétique

Lancez votre recherche pour voir les annonces.

Service tresses africaines
Service tresses africaines
Tresse et natte africaine
Profil du voisin
Voisin #485094

9 km · Paris 75019

-- €

Faire des tresses
Service tresses africaines
Service tresses africaines
Coiffure à domicile
Profil du voisin
Gerdyne desna A

20 km · Sucy-en-Brie 94370

50€

Faire des tresses
Demander un service / jobbing de coiffure ou proposer un service de coiffure entre particuliers.
Poster une annonce



Publier une annonce « Service Tresses africaines 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='coiffure-esthetique'

  2. 0

    SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=43

  3. 0

    SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='92'

  4. 0.0001

    SELECT ville_nom FROM villes WHERE ville_cp='92140' AND ville_nom like '%clamart%' 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 '%tresses%africaines%' OR ssrubr_title like '%tresses%africaines%' OR ssrubr_slug like '%tresses%africaines%') AND cate_id='43' 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='92140'

  7. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>1.9936056388795 AND ville_longitude_deg<2.5397343611205 HAVING distance <= 20 ORDER BY distance ASC

  8. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='tresses africaine; tresses africaines'

  9. 0.0007

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='43'AND MATCH (wish_title,wish_desc) AGAINST ('+tresses africaine; tresses africaines*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '92140%'

  10. 0.0001

    SELECT * FROM texte WHERE cate_id=43

  11. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='tresses africaine; tresses africaines' OR ssrubr_slug='tresses-africaine;-tresses-africaines' OR (ssrubr_title like '%tresses africaine; tresses africaines%')) AND cate_id='43' 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 (43) ORDER BY ssrubr_order ASC

  15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='tresses-africaines' AND cate_id='43'

  16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92140'

  17. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>1.9936056388795 AND ville_longitude_deg<2.5397343611205 HAVING distance <= 20 ORDER BY distance ASC

  18. 0.0071

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.350339197041 AND ville_latitude_deg<49.249660802959 AND ville_longitude_deg>1.5840032105093 AND ville_longitude_deg<2.9493367894907 HAVING distance <= 50 ORDER BY distance ASC

  19. 0.0273

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='3' AND cate_id='43' AND MATCH (wish_desc) AGAINST ('(+tresses +africaine; +tresses +africaines*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92140,92140,92320,92130,92350,92360,92190,92330,92260,92220,92240,92290,92100,92120,92170,92340,94110,92370,92310,94238,94231,94236,94235,94234,94239,94237,94230,94232,94240,94250,94233,91370,92210,92160,78140,92410,91570,94260,94550,94800,78220,91300,94270,92380,92420,92430,92800,92150,78350,94150,91430,94200,94205,75020,75011,75018,75017,75012,75013,75014,75015,75116,75003,75004,75002,75008,75009,75010,75006,75005,75001,75000,75007,75019,75016,91320,91430,92200,94320,91120,78000,94400,78170,91400,78350,78530,92500,78150,92400,94140,91160,94220,92300,91140,92250,94310,94390,91160,91380,92110,78150,94160,94600,91550,93400,92000,91420,94700,78380,78290,78117,92600,78400,91400,92270,91160,92700,91140,78430,93170,94290,91440,94300,93310,91200,91190,78800,94410,93100,78117,78420,78560,94480,91190,78870,78210,94340,94000,93500,91160,91940,92230,78280,91360,95870,93230,93260,78160,94190,93300,93120,78360,91260,92390,93450,91360,78110,91270,78590,94460,78330,91390,91600,91940,91190,93200,93210,78590,94130,94380,78750,91560,78620,78114,78230,91940,91620,95100,94120,78960,91620,91700,93800,91210,94100,94340,94210,91170,93130,78112,93000,78100,91230,78470,78180,93110,94450,78470,78500,94170,78390,94430,78600,93140,94500,93430,93350,91400,91310,91310,95218,95110,95210,91310,94360,78450,91240,91460,93240,78600,91640,91350,95880,78860,94470,91700,78460,93250,91330,95360,95530,78190,93360,78470,94370,94380,93380,91700,93440,91130,91000,93150,93700)

  20. 0.0288

    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((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- 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='43' AND MATCH (wish_desc) AGAINST ('(+tresses +africaine; +tresses +africaines*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92140,92140,92320,92130,92350,92360,92190,92330,92260,92220,92240,92290,92100,92120,92170,92340,94110,92370,92310,94238,94231,94236,94235,94234,94239,94237,94230,94232,94240,94250,94233,91370,92210,92160,78140,92410,91570,94260,94550,94800,78220,91300,94270,92380,92420,92430,92800,92150,78350,94150,91430,94200,94205,75020,75011,75018,75017,75012,75013,75014,75015,75116,75003,75004,75002,75008,75009,75010,75006,75005,75001,75000,75007,75019,75016,91320,91430,92200,94320,91120,78000,94400,78170,91400,78350,78530,92500,78150,92400,94140,91160,94220,92300,91140,92250,94310,94390,91160,91380,92110,78150,94160,94600,91550,93400,92000,91420,94700,78380,78290,78117,92600,78400,91400,92270,91160,92700,91140,78430,93170,94290,91440,94300,93310,91200,91190,78800,94410,93100,78117,78420,78560,94480,91190,78870,78210,94340,94000,93500,91160,91940,92230,78280,91360,95870,93230,93260,78160,94190,93300,93120,78360,91260,92390,93450,91360,78110,91270,78590,94460,78330,91390,91600,91940,91190,93200,93210,78590,94130,94380,78750,91560,78620,78114,78230,91940,91620,95100,94120,78960,91620,91700,93800,91210,94100,94340,94210,91170,93130,78112,93000,78100,91230,78470,78180,93110,94450,78470,78500,94170,78390,94430,78600,93140,94500,93430,93350,91400,91310,91310,95218,95110,95210,91310,94360,78450,91240,91460,93240,78600,91640,91350,95880,78860,94470,91700,78460,93250,91330,95360,95530,78190,93360,78470,94370,94380,93380,91700,93440,91130,91000,93150,93700) 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='92140'

  22. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>1.9936056388795 AND ville_longitude_deg<2.5397343611205 HAVING distance <= 20 ORDER BY distance ASC

  23. 0.0054

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.350339197041 AND ville_latitude_deg<49.249660802959 AND ville_longitude_deg>1.5840032105093 AND ville_longitude_deg<2.9493367894907 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 = 416772 AND W.type_id = 1) OR (W.util_id != 416772 AND W.type_id = 2)) AND (`post_util_id` = 416772 OR `dest_util_id` = 416772) 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=416772 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 = 485094 AND W.type_id = 1) OR (W.util_id != 485094 AND W.type_id = 2)) AND (`post_util_id` = 485094 OR `dest_util_id` = 485094) 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=485094 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='574' 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 = 485094 AND W.type_id = 1) OR (W.util_id != 485094 AND W.type_id = 2)) AND (`post_util_id` = 485094 OR `dest_util_id` = 485094) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  30. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 485094

  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='574' 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 = 416772 AND W.type_id = 1) OR (W.util_id != 416772 AND W.type_id = 2)) AND (`post_util_id` = 416772 OR `dest_util_id` = 416772) 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 = 416772

  34. 0.0002

    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=43 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='tresses africaine; tresses africaines' OR ssrubr_slug like '%tresses africaine; tresses africaines%' OR MATCH (ssrubr_slug) AGAINST ('(+tresses +africaine; +tresses +africaines)')) AND sk.ssrubr_id='574' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

  36. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='574' 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. 0.0488

    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 0.1285

Taille variable Globale : 53.76 KB