Service pédicure à 78190 Trappes

1. 0.0002

   SELECT cate_title_slug FROM category WHERE fami_id IN (3,5) AND cate_title_slug<>'' AND cate_title_slug IS NOT NULL

2. 0.0001

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

3. 0

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

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='78'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78190' AND ville_nom like '%trappes%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0006

   SELECT DISTINCT ssrubr_slug FROM ssrubr WHERE ssrubr_visu=1 AND fami_id IN (3,5) AND ssrubr_slug IS NOT NULL AND ssrubr_slug<>''

7. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%pedicure%' OR ssrubr_title like '%pedicure%' OR ssrubr_slug like '%pedicure%') AND cate_id='43' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0003

    SELECT pays_code, pays_nom, pays_actif, pays_NDD, pays_drapeau, pays_lang, pays_tel, pays_nb_annonces, pays_tel_masque, pays_tel_max, pays_tel_fmt_paires, pays_tel_mode FROM pays ORDER BY pays_nom ASC

11. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='78190'

12. 0.0019

    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- 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>1.7270265120265 AND ville_longitude_deg<2.2729734879735 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='pedicure'

14. 0.0008

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='43'AND MATCH (wish_title,wish_desc) AGAINST ('+pedicure*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '78190%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=43

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='pedicure' OR ssrubr_slug='pedicure' OR (ssrubr_title like '%pedicure%')) AND cate_id='43' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='pedicure' AND cate_id='43'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78190'

19. 0.0025

    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- 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>1.7270265120265 AND ville_longitude_deg<2.2729734879735 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0079

    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- 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>1.317560395336 AND ville_longitude_deg<2.682439604664 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0512

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ui.util_verify, 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- 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 ('(+pedicure*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (78190,78190,78390,78180,78990,78340,78960,78320,78210,78330,78280,78370,78450,78470,78320,78310,78470,78590,78310,78760,78114,78450,78860,78640,78320,78590,78720,78640,78117,78720,78117,78690,78640,78810,78870,78850,78490,78000,78350,78530,78460,78150,78150,78690,78640,78810,78620,78490,78490,78470,78160,78460,78720,91190,91470,78121,78112,91190,78650,78350,78220,78430,78610,78750,78490,78490,78240,78720,78240,78170,78650,91400,78490,78490,78290,78380,78140,91470,92430,92420,78560,78100,78610,78770,78490,92370,92410,78124,91190,91940,78630,78230,92380,78490,92310,91470,91440,91400,78110,78580,78125,78400,91430,91470,78580,78124,78770,91570,78610,91400,78770,91940,91430,78300,78720,78490,92210,78940,78770,78630,78770,91940,92190,92360,78770,92500,78580,78360,91640,78830,78670,78670,78610,78890,78830,78955,92100,78120,78580,78600,92800,92150,78920,92350,92000,78940,92140,92290,91120,92130,78490,91370,91470,78126,78420) AND type_id=1 GROUP BY wish_id

22. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 62095 AND W.type_id = 1) OR (W.util_id <> 62095 AND W.type_id = 2)) AND (M.post_util_id = 62095 OR M.dest_util_id = 62095) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=62095 AND note_visu IN (1,3,4)

24. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 402472 AND W.type_id = 1) OR (W.util_id <> 402472 AND W.type_id = 2)) AND (M.post_util_id = 402472 OR M.dest_util_id = 402472) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=402472 AND note_visu IN (1,3,4)

26. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 474989 AND W.type_id = 1) OR (W.util_id <> 474989 AND W.type_id = 2)) AND (M.post_util_id = 474989 OR M.dest_util_id = 474989) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=474989 AND note_visu IN (1,3,4)

28. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 315167 AND W.type_id = 1) OR (W.util_id <> 315167 AND W.type_id = 2)) AND (M.post_util_id = 315167 OR M.dest_util_id = 315167) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=315167 AND note_visu IN (1,3,4)

30. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78190'

31. 0.0025

    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- 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>1.7270265120265 AND ville_longitude_deg<2.2729734879735 HAVING distance <= 20 ORDER BY distance ASC

32. 0.009

    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- 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>1.317560395336 AND ville_longitude_deg<2.682439604664 HAVING distance <= 50 ORDER BY distance ASC

33. 0.0001

    SELECT ssr.ssrubr_id, ssr.ssrubr_slug, ssr.ssrubr_mail, ssr.ssrubr_mail_bis, ssr.ssrubr_keywords, ssr.ssrubr_bt2, ssr.ssrubr_photo, c.cate_title_slug, f.fami_url 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 IN (564,565)

34. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (315167,474989,402472,62095)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (315167,474989,402472,62095)

36. 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

37. 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='pedicure' OR ssrubr_slug like '%pedicure%' OR MATCH (ssrubr_slug) AGAINST ('(+pedicure)')) AND sk.ssrubr_id='564' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 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 = 3 AND ss.cate_id = 43 AND ss.ssrubr_id <> 564 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='564' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0.0001

    SELECT fami_id as id, fami_title as title, fami_tutotitle, fami_tutodesc, fami_buttontitle, fami_url as slug FROM `family`

41. 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

42. 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

43. 0.0016

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

44. 0.0364

    SELECT COUNT(*) AS nbavis FROM note n INNER JOIN util_info dest ON n.dest_util_id=dest.util_id INNER JOIN util_info post ON n.post_util_id=post.util_id INNER JOIN wish w ON n.wish_id=w.wish_id WHERE n.note_visu IN (1,2,3,4) AND n.post_util_id<>'7'

45. 0.0284

    SELECT count(*) as nbwish FROM wish WHERE wish_visu IN (1,6,10)

45 requetes sql en 0.1479