Location sèche cheveux à 78800 Houilles

1. 0.0001

   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

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

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='78'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78800' AND ville_nom like '%houilles%' 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 '%seche%cheveux%' OR ssrubr_title like '%seche%cheveux%' OR ssrubr_slug like '%seche%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. 0.0002

    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='78800'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>1.926298272488 AND ville_longitude_deg<2.473701727512 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='sèche cheveux'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='92'AND MATCH (wish_title,wish_desc) AGAINST ('+sèche cheveux*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '78800%'

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='sèche cheveux' OR ssrubr_slug='sèche-cheveux' OR (ssrubr_title like '%sèche 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='seche-cheveux' AND cate_id='92'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78800'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>1.926298272488 AND ville_longitude_deg<2.473701727512 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0069

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.467039197041 AND ville_latitude_deg<49.366360802959 AND ville_longitude_deg>1.5157397807905 AND ville_longitude_deg<2.8842602192095 HAVING distance <= 50 ORDER BY distance ASC

21. 0.1306

    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((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- 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='5' AND cate_id='92' AND MATCH (wish_desc) AGAINST ('(+sèche +cheveux*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (78800,78800,78420,92000,95870,78360,92700,92500,78500,92250,92400,92270,78600,95100,78400,95530,78600,92150,92800,92200,92600,78110,92300,95110,78560,78380,78290,95240,95370,78230,92110,92230,95130,95218,95210,78430,78170,92210,92380,78100,93800,95120,78750,92420,92430,95130,95220,92390,93450,93400,92100,95880,78160,92410,78700,95230,78112,95600,78150,78300,92310,95250,78260,78620,78870,93430,95480,78150,95320,93210,93200,95580,95580,92170,92130,95390,95170,78570,78590,95360,75018,75016,75014,75001,75017,75003,75020,75015,75002,75000,75019,75013,75004,75009,75010,75006,75116,75011,75012,75008,75007,75005,78240,92360,92190,95680,78955,92370,95150,95550,78140,78220,95410,95610,92240,93380,93120,93300,95160,78780,78240,78000,92140,93240,92120,78570,92320,78590,93500,95000,94250,95740,92220,78670,78670,93310,95840,95350,78860,95560,95350,92350,78330,78630,93350,95310,92330,92260,95330,95000,94110,78210,93440,95200,95400,78450,78510,95280,94270,95570,95300,95540,95140,78540,93170,95430,95840,78350,92290,78350,78530,95440,94200,94205,93260,93230,78480,95400,78450,95570,94232,94238,94230,94231,94235,94239,94240,94237,94233,94234,94236,95490,95460,94800,95500,92340,93100,78810,95300,95560,95000,93700,93150,93000,94160,95570,95630,95430,91570,94300,78390,95560,91370,95520,78280,95180,78340,94220,95590,78117,95800,78630,93140,95500,93130,78121,92160,95650,94550) 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 = 24956 AND W.type_id = 1) OR (W.util_id <> 24956 AND W.type_id = 2)) AND (M.post_util_id = 24956 OR M.dest_util_id = 24956) 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=24956 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 = 393883 AND W.type_id = 1) OR (W.util_id <> 393883 AND W.type_id = 2)) AND (M.post_util_id = 393883 OR M.dest_util_id = 393883) 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=393883 AND note_visu IN (1,3,4)

26. 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 = 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 <> ''

27. 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)

28. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78800'

29. 0.0032

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>1.926298272488 AND ville_longitude_deg<2.473701727512 HAVING distance <= 20 ORDER BY distance ASC

30. 0.0083

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.2- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.467039197041 AND ville_latitude_deg<49.366360802959 AND ville_longitude_deg>1.5157397807905 AND ville_longitude_deg<2.8842602192095 HAVING distance <= 50 ORDER BY distance ASC

31. 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 (825)

32. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (532702,393883,24956)

33. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (532702,393883,24956)

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=92 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

35. 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='sèche cheveux' OR ssrubr_slug like '%sèche cheveux%' OR MATCH (ssrubr_slug) AGAINST ('(+sèche +cheveux)')) AND sk.ssrubr_id='825' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 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 <> 825 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

37. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='825' AND actu_niveau=0 ORDER BY actu_ordre DESC

38. 0.0001

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

39. 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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

40. 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

41. 0.0015

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

42. 0.0279

    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'

43. 0.0192

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

43 requetes sql en 0.2071