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Service soins à 95510 Villers-en-arthies


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Service soins
Service soins
Drainage lymphatique brésilien
Profil du voisin
Voisin #352991

10 km · Villers-en-Arthies 95510

60€/h

Service estheticienne
Service estheticienne
Recherche modèle (7h)
Profil du voisin
Karine B

13 km · Vaux-sur-Seine 78740

-- €

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Script : /wall.php

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    SELECT cate_id FROM category WHERE fami_id='3' AND cate_title_slug='coiffure-esthetique'

  2. 0.0001

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

  3. 0.0001

    SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='95'

  4. 0.0001

    SELECT ville_nom FROM villes WHERE ville_cp='95510' AND ville_nom like '%villers%en%arthies%' 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 '%soins%' OR ssrubr_title like '%soins%' OR ssrubr_slug like '%soins%') 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='95510'

  7. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.886835678816 AND ville_latitude_deg<49.246564321184 AND ville_longitude_deg>1.508802974903 AND ville_longitude_deg<2.057857025097 HAVING distance <= 20 ORDER BY distance ASC

  8. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='soins'

  9. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='43'AND MATCH (wish_title,wish_desc) AGAINST ('+soins*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95510%'

  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='soins' OR ssrubr_slug='soins' OR (ssrubr_title like '%soins%')) 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='soins' AND cate_id='43'

  16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95510'

  17. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.886835678816 AND ville_latitude_deg<49.246564321184 AND ville_longitude_deg>1.508802974903 AND ville_longitude_deg<2.057857025097 HAVING distance <= 20 ORDER BY distance ASC

  18. 0.0056

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.617039197041 AND ville_latitude_deg<49.516360802959 AND ville_longitude_deg>1.0970065190362 AND ville_longitude_deg<2.4696534809638 HAVING distance <= 50 ORDER BY distance ASC

  19. 0.0277

    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 ('(+soins*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95510,95510,78440,78440,95510,95510,95420,95420,78440,78440,78440,78440,95510,95420,78440,78440,95780,95450,78250,95450,95450,78520,95450,78520,95420,78440,95510,95420,95420,78440,78840,95780,95450,95420,95420,95450,78820,95710,78250,95420,95420,78270,78520,78250,95450,78250,95510,78200,95450,95710,95450,95780,95420,78440,95450,78970,27630,78250,78250,78270,95750,95420,78711,78200,78410,95640,95710,78130,95450,78520,95450,78200,78410,95450,78680,78710,78200,78270,78740,78200,60240,95420,78410,27620,78270,78410,78840,78930,78930,95450,78410,60240,95640,95640,78740,27620,95450,27630,78200,60240,95770,60240,78930,78270,60240,27630,78930,27630,60240,78200,95750,27630,95180,78130,78126,95650,95650,78580,78930,78930,95800,78200,78920,78270,95770,95770,60240,78580,78200,78930,95830,95000,27420,95650,78270,95640,78480,78580,78270,78200,60240,95830,27630,78790,27720,27620,95650,78270,95640,27630,78510,78200,78540,60240,78630,60240,95490,27630,78200,60240,78200,78790,78790,27620,95280,78270,78980,95640,78580,95640,78980,78124,78790,78580,60240,27420,27420)

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  21. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95510'

  22. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.886835678816 AND ville_latitude_deg<49.246564321184 AND ville_longitude_deg>1.508802974903 AND ville_longitude_deg<2.057857025097 HAVING distance <= 20 ORDER BY distance ASC

  23. 0.0057

    SELECT ville_cp, ROUND((((acos(sin((49.0667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.617039197041 AND ville_latitude_deg<49.516360802959 AND ville_longitude_deg>1.0970065190362 AND ville_longitude_deg<2.4696534809638 HAVING distance <= 50 ORDER BY distance ASC

  24. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 45453 AND W.type_id = 1) OR (W.util_id != 45453 AND W.type_id = 2)) AND (`post_util_id` = 45453 OR `dest_util_id` = 45453) 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=45453 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 = 352991 AND W.type_id = 1) OR (W.util_id != 352991 AND W.type_id = 2)) AND (`post_util_id` = 352991 OR `dest_util_id` = 352991) 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=352991 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='572' 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 = 352991 AND W.type_id = 1) OR (W.util_id != 352991 AND W.type_id = 2)) AND (`post_util_id` = 352991 OR `dest_util_id` = 352991) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  30. 0.0001

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  31. 0.0001

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  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 = 45453 AND W.type_id = 1) OR (W.util_id != 45453 AND W.type_id = 2)) AND (`post_util_id` = 45453 OR `dest_util_id` = 45453) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  33. 0.0001

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  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='soins' OR ssrubr_slug like '%soins%' OR MATCH (ssrubr_slug) AGAINST ('(+soins)')) AND sk.ssrubr_id='572' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

  36. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='572' AND actu_niveau=0 ORDER BY actu_ordre DESC

  37. 0.0009

    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. 0.0524

    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 0.13

Taille variable Globale : 53.74 KB