Service cours de maquillage à 94550 Chevilly-larue

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='cours-particuliers'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=37

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='94'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='94550' AND ville_nom like '%chevilly%larue%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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 '%cours%maquillage%' OR ssrubr_title like '%cours%maquillage%' OR ssrubr_slug like '%cours%maquillage%') AND cate_id='37' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0002

    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='94550'

12. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.586835678816 AND ville_latitude_deg<48.946564321184 AND ville_longitude_deg>2.0771167581343 AND ville_longitude_deg<2.6228832418657 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='maquillage; cours maquillage'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='37'AND MATCH (wish_title,wish_desc) AGAINST ('+maquillage; cours maquillage*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '94550%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=37

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='maquillage; cours maquillage' OR ssrubr_slug='maquillage;-cours-maquillage' OR (ssrubr_title like '%maquillage; cours maquillage%')) AND cate_id='37' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='cours-maquillage' AND cate_id='37'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94550'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.586835678816 AND ville_latitude_deg<48.946564321184 AND ville_longitude_deg>2.0771167581343 AND ville_longitude_deg<2.6228832418657 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0079

    SELECT ville_cp, ROUND((((acos(sin((48.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.317039197041 AND ville_latitude_deg<49.216360802959 AND ville_longitude_deg>1.6677860125509 AND ville_longitude_deg<3.0322139874491 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0249

    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((48.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.35- 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='37' AND MATCH (wish_desc) AGAINST ('(+maquillage; +cours +maquillage*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94550,94550,94150,94233,94240,94230,94231,94232,94234,94235,94236,94237,94238,94239,94320,92340,94260,94110,94800,91320,94400,94310,94390,92160,94600,92220,92260,92330,94250,91550,94270,94200,94205,92120,92290,94140,92320,91300,94290,92350,91370,92240,91200,92140,94700,94480,94220,91420,94190,92170,92130,91380,91160,94000,94460,94160,91270,92360,92190,91120,91560,91260,91160,94410,94380,91570,94340,75003,75008,75015,75007,75006,75004,75002,75005,75009,75011,75010,75001,75017,75000,75116,75020,75019,75018,75016,75014,75013,75012,92100,91140,91230,94450,91430,91210,94300,91160,91390,91600,91360,91360,91170,94100,92370,94340,94210,91430,93170,91160,94130,92310,91330,94470,91140,93100,78140,94430,92210,91350,91800,92410,94500,94370,94380,78350,94120,93310,91700,91000,91130,78220,91400,92150,92800,94360,91400,93260,93230,92200,91620,94170,94440,94490,94880,94880,92380,92420,93110,92430,93400,91700,91700,91450,94440,92110,93500,91240,91860,91440,93130,91620,92300,91310,78530,78350,91310,91310,92400,78000,93330,91800,91940,94350,94520,94520,93360,93000,92250,91090,91000,92600,94420,94440,91190,93120,91220,91220,93300,91070,93250,92500,91080,93140,91450,91460,94510,78117,78170,91940,91480,78150,92270,77170,91190,92700,91310,91480,93160,91940,91190,92000,91250,93210,93200,92390,93450,78150,93220,78117,92230,77340,93350,91090,93320,93340,91250,78380,78290,93460,77380,78400,91640,77150,93700,93150,91180,78800,91280) 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 = 11359 AND W.type_id = 1) OR (W.util_id <> 11359 AND W.type_id = 2)) AND (M.post_util_id = 11359 OR M.dest_util_id = 11359) 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=11359 AND note_visu IN (1,3,4)

24. 0.0001

    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 = 118093 AND W.type_id = 1) OR (W.util_id <> 118093 AND W.type_id = 2)) AND (M.post_util_id = 118093 OR M.dest_util_id = 118093) 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=118093 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 = 122382 AND W.type_id = 1) OR (W.util_id <> 122382 AND W.type_id = 2)) AND (M.post_util_id = 122382 OR M.dest_util_id = 122382) 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=122382 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 = 165262 AND W.type_id = 1) OR (W.util_id <> 165262 AND W.type_id = 2)) AND (M.post_util_id = 165262 OR M.dest_util_id = 165262) 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=165262 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='94550'

31. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((48.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.586835678816 AND ville_latitude_deg<48.946564321184 AND ville_longitude_deg>2.0771167581343 AND ville_longitude_deg<2.6228832418657 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0059

    SELECT ville_cp, ROUND((((acos(sin((48.7667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.317039197041 AND ville_latitude_deg<49.216360802959 AND ville_longitude_deg>1.6677860125509 AND ville_longitude_deg<3.0322139874491 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 (1137)

34. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (165262,122382,118093,11359)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (165262,122382,118093,11359)

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=37 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

37. 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='maquillage; cours maquillage' OR ssrubr_slug like '%maquillage; cours maquillage%' OR MATCH (ssrubr_slug) AGAINST ('(+maquillage; +cours +maquillage)')) AND sk.ssrubr_id='1137' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 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 = 37 AND ss.ssrubr_id <> 1137 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1137' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0

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

41. 0.0001

    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. 0.0001

    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 (37) 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. 0.0287

    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. 0.0191

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

45 requetes sql en 0.0997