Service coiffure à 93240 Stains

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='93'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='93240' AND ville_nom like '%stains%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0005

   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. 0.0001

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

8. 0.0002

   SHOW TABLES LIKE 'pays'

9. 0.0003

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0004

    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='93240'

12. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.770135678816 AND ville_latitude_deg<49.129864321184 AND ville_longitude_deg>2.1094456472466 AND ville_longitude_deg<2.6572143527534 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='coiffure; afro; tissage; tresse; coiffure; coiffeu'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='43'AND MATCH (wish_title,wish_desc) AGAINST ('+coiffure; afro; tissage; tresse; coiffure; coiffeu*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '93240%'

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='coiffure; afro; tissage; tresse; coiffure; coiffeu' OR ssrubr_slug='coiffure;-afro;-tissage;-tresse;-coiffure;-coiffeu' OR (ssrubr_title like '%coiffure; afro; tissage; tresse; coiffure; coiffeu%')) 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='coiffure' AND cate_id='43'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93240'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.770135678816 AND ville_latitude_deg<49.129864321184 AND ville_longitude_deg>2.1094456472466 AND ville_longitude_deg<2.6572143527534 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0138

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.500339197041 AND ville_latitude_deg<49.399660802959 AND ville_longitude_deg>1.6986132137498 AND ville_longitude_deg<3.0680467862502 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0322

    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((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- 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 ('(+coiffure; +afro; +tissage; +tresse; +coiffure; +coiffeu*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (93240,93240,93380,93440,93200,93210,93350,95140,95360,93430,93120,93300,92390,95500,93450,95400,95410,95170,95880,93150,93700,93800,95400,95200,93500,95350,95500,92230,93400,95160,95230,93000,95440,93310,95218,95210,95350,93140,95580,92110,95580,95500,95720,93230,93260,92600,95500,95600,92300,92270,95120,95460,95720,93170,95190,93130,93600,95100,95110,95330,93100,75011,75012,75013,75014,75015,75016,75010,75009,75007,75006,75005,75004,75003,75002,75000,75001,75008,75017,75018,75019,75020,75116,95680,92700,93270,93420,95720,95700,93340,92250,93320,92400,95390,92200,93250,95570,95130,94300,95570,93110,95190,95320,95130,95870,95380,95570,93190,93390,95720,94160,93220,94120,93360,95850,93410,95190,95560,95240,78800,95560,94170,93290,95560,92170,92150,92800,93370,92000,78500,95530,95840,95270,94200,94205,95570,94270,95380,94130,94220,95270,95370,77181,93470,78420,94250,95380,95150,95550,95250,92500,95380,95850,92120,95560,93330,94410,92240,94340,94360,92100,93460,95740,95380,95590,94800,95220,95270,94140,95840,78600,94110,94700,95670,92130,92210,77270,77990,95270,95270,93160,77290,77181,78360,95480,77990,77500,94500,95270,92220,94350,95470,92320,95270,94400,78400,95540,95470,95270,92140,94340,94210,94100,78600,92360,92190,94240,94233,94236,94235,94231,94234,94237,94238,94232,95270,94230,94239,92380,94430,77420,94000,95590,77177,92410,77410,92260,92330,95430,95470,95630,94420,92310) 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 = 30742 AND W.type_id = 1) OR (W.util_id <> 30742 AND W.type_id = 2)) AND (M.post_util_id = 30742 OR M.dest_util_id = 30742) 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=30742 AND note_visu IN (1,3,4)

24. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93240'

25. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.770135678816 AND ville_latitude_deg<49.129864321184 AND ville_longitude_deg>2.1094456472466 AND ville_longitude_deg<2.6572143527534 HAVING distance <= 20 ORDER BY distance ASC

26. 0.0136

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.500339197041 AND ville_latitude_deg<49.399660802959 AND ville_longitude_deg>1.6986132137498 AND ville_longitude_deg<3.0680467862502 HAVING distance <= 50 ORDER BY distance ASC

27. 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 (576)

28. 0.0001

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (30742)

29. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (30742)

30. 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

31. 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='coiffure; afro; tissage; tresse; coiffure; coiffeu' OR ssrubr_slug like '%coiffure; afro; tissage; tresse; coiffure; coiffeu%' OR MATCH (ssrubr_slug) AGAINST ('(+coiffure; +afro; +tissage; +tresse; +coiffure; +coiffeu)')) AND sk.ssrubr_id='571' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

32. 0.0002

    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 <> 571 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

33. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='571' AND actu_niveau=0 ORDER BY actu_ordre DESC

34. 0.0001

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

35. 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

36. 0.0001

    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

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. 0.02

    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'

39. 0.0161

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

39 requetes sql en 0.1075