Location lisseur cheveux à 92120 Montrouge

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='5' AND cate_title_slug='objet'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=92

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='92'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92120' AND ville_nom like '%montrouge%' 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 '%lisseur%cheveux%' OR ssrubr_title like '%lisseur%cheveux%' OR ssrubr_slug like '%lisseur%cheveux%') AND cate_id='92' 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. 0.0003

    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='92120'

12. 0.003

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>2.0435146819952 AND ville_longitude_deg<2.5898253180048 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='lisseur; lisseur cheveux'

14. 0.0006

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='92'AND MATCH (wish_title,wish_desc) AGAINST ('+lisseur; lisseur cheveux*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '92120%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=92

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='lisseur; lisseur cheveux' OR ssrubr_slug='lisseur;-lisseur-cheveux' OR (ssrubr_title like '%lisseur; lisseur cheveux%')) AND cate_id='92' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='lisseur-cheveux' AND cate_id='92'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92120'

19. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>2.0435146819952 AND ville_longitude_deg<2.5898253180048 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0066

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.367039197041 AND ville_latitude_deg<49.266360802959 AND ville_longitude_deg>1.6337758163378 AND ville_longitude_deg<2.9995641836622 HAVING distance <= 50 ORDER BY distance ASC

21. 0.1586

    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((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- 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='5' AND cate_id='92' AND MATCH (wish_desc) AGAINST ('(+lisseur; +lisseur +cheveux*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92120,92120,94250,92240,92170,94110,92220,92320,94270,92130,94240,94238,94237,94236,94235,94233,94232,94234,94239,94230,94231,92140,94800,92330,92260,92340,94200,94205,92100,92350,75016,75007,75010,75000,75014,75015,75017,75018,75019,75020,75116,75001,75013,75012,75002,75003,75004,75005,75006,75008,75009,75011,92360,92190,94550,92290,94400,94220,94320,94260,92160,94140,94160,94150,92210,92800,92150,92200,91370,92310,94700,92370,93170,92410,94600,94300,93400,92110,91320,92300,91300,93310,94310,94390,78140,92400,92380,93100,94410,91570,92250,92420,92430,92600,94340,93500,78220,92500,93230,93260,94000,92270,91550,91430,94290,93300,93120,92700,91120,78350,94130,92000,91430,91200,78170,94120,92390,92230,93450,91380,91160,91420,93130,94460,93210,93200,94480,93110,94380,93000,94190,91160,94210,94340,78000,94100,91140,94170,78800,78150,78400,93140,91400,78290,78380,78350,78530,94500,94360,94430,78150,78420,91560,93800,95870,93350,91270,91160,93250,94450,93240,95100,91260,78430,93360,93430,91140,93700,93150,91230,91400,93330,78560,94470,78117,78360,93440,91210,91360,95880,91360,94380,94370,95218,91390,95210,91160,95360,91600,91440,93380,94350,78110,93320,93340,95110,91170,91330,91190,78870,94880,94490,94880,93220,78500,78160,95140,94420,78230,78117,91190,78210,91940,95230,95170,91700,78750,78590,93160,95410,91800,95500,95120,91620,78620,93460,78280,91350,78600,78600,95530,94440,78100,94440,95130,91620,78330,78590,78112,94510,95400,91130,91000,91940) 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 = 262908 AND W.type_id = 1) OR (W.util_id <> 262908 AND W.type_id = 2)) AND (M.post_util_id = 262908 OR M.dest_util_id = 262908) 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=262908 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 = 99073 AND W.type_id = 1) OR (W.util_id <> 99073 AND W.type_id = 2)) AND (M.post_util_id = 99073 OR M.dest_util_id = 99073) 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=99073 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 = 412220 AND W.type_id = 1) OR (W.util_id <> 412220 AND W.type_id = 2)) AND (M.post_util_id = 412220 OR M.dest_util_id = 412220) 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=412220 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 = 532702 AND W.type_id = 1) OR (W.util_id <> 532702 AND W.type_id = 2)) AND (M.post_util_id = 532702 OR M.dest_util_id = 532702) 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=532702 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='92120'

31. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>2.0435146819952 AND ville_longitude_deg<2.5898253180048 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0091

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.367039197041 AND ville_latitude_deg<49.266360802959 AND ville_longitude_deg>1.6337758163378 AND ville_longitude_deg<2.9995641836622 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 (823)

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 (412220,532702,262908,99073)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (412220,532702,262908,99073)

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=92 AND ss.fami_id=5 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='lisseur; lisseur cheveux' OR ssrubr_slug like '%lisseur; lisseur cheveux%' OR MATCH (ssrubr_slug) AGAINST ('(+lisseur; +lisseur +cheveux)')) AND sk.ssrubr_id='823' 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 = 5 AND ss.cate_id = 92 AND ss.ssrubr_id <> 823 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='823' 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. 0.0001

    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='5' 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 (92) ORDER BY ssrubr_order ASC

43. 0.0009

    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. 0.024

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

45 requetes sql en 0.2425