Location chaise haute à 92600 Asnières-sur-seine

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='equipement-pour-bebe'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=228

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='92'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92600' AND ville_nom like '%asnieres%sur%seine%' 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 '%chaise%haute%' OR ssrubr_title like '%chaise%haute%' OR ssrubr_slug like '%chaise%haute%') AND cate_id='228' 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='92600'

12. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((48.9112*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9112*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28556- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.731335678816 AND ville_latitude_deg<49.091064321184 AND ville_longitude_deg>2.0118884034916 AND ville_longitude_deg<2.5592315965084 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='chaise haute'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='228'AND MATCH (wish_title,wish_desc) AGAINST ('+chaise haute*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '92600%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=228

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='chaise haute' OR ssrubr_slug='chaise-haute' OR (ssrubr_title like '%chaise haute%')) AND cate_id='228' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='chaise-haute' AND cate_id='228'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92600'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.9112*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9112*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28556- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.731335678816 AND ville_latitude_deg<49.091064321184 AND ville_longitude_deg>2.0118884034916 AND ville_longitude_deg<2.5592315965084 HAVING distance <= 20 ORDER BY distance ASC

20. 0.007

    SELECT ville_cp, ROUND((((acos(sin((48.9112*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9112*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28556- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.461539197041 AND ville_latitude_deg<49.360860802959 AND ville_longitude_deg>1.6013751089489 AND ville_longitude_deg<2.9697448910511 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0205

    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((48.9112*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9112*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28556- 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='228' AND MATCH (wish_desc) AGAINST ('(+chaise +haute*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92600,92600,92300,92270,92110,92230,92700,92250,92400,92200,93400,92390,93450,93800,95100,95870,93210,93200,95218,95210,92800,92150,78800,92000,95880,93430,95110,92500,75020,75017,75011,75019,75007,75006,75018,75001,75005,75012,75004,75003,75002,75000,75008,75016,75015,75013,75010,75116,75009,75014,93300,93120,78420,95360,95230,95120,93240,93500,93380,78500,92170,95170,95130,93310,92100,92210,95410,95530,95600,93350,78360,95580,95580,95240,78400,95160,93440,92240,95130,92130,92380,92120,93170,78600,95370,94250,93260,93230,95140,95350,95680,92410,95390,92420,92430,92190,92360,93100,78600,95320,78170,94270,93000,78380,78290,95400,95200,92310,93700,93150,92320,92220,78110,95500,92140,95400,95350,94205,94200,78560,94300,94110,94160,95220,93140,95250,78430,93130,78230,94800,95440,92370,95330,92330,92260,94220,92350,95500,78140,95550,95150,95480,94240,94230,94239,94231,94232,94233,94234,94235,94236,94237,94238,95460,78100,78150,78750,78220,78150,93110,92340,95570,95560,78160,94140,95840,78700,95570,95720,93250,94120,95570,92290,95740,78870,78112,94700,94410,94400,95500,95720,78000,94550,78620,94130,94340,93340,93320,94170,78260,95560,78300,78590,93600,95560,95500,95720,94320,93360,95190,95840,78570,95610,92160,91370,94260,93270,78350,93220,95540,78240,94150,91570,94600,78780,78955,94360,93420,95590,95720,95560,78590,93390,93190,95430,93330,94000,95700,95190,78530,78350,78240,95310,91300,94390,94310,95000,94500,94100,94210,94340) 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 = 69543 AND W.type_id = 1) OR (W.util_id <> 69543 AND W.type_id = 2)) AND (M.post_util_id = 69543 OR M.dest_util_id = 69543) 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=69543 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 = 115848 AND W.type_id = 1) OR (W.util_id <> 115848 AND W.type_id = 2)) AND (M.post_util_id = 115848 OR M.dest_util_id = 115848) 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=115848 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 = 211265 AND W.type_id = 1) OR (W.util_id <> 211265 AND W.type_id = 2)) AND (M.post_util_id = 211265 OR M.dest_util_id = 211265) 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=211265 AND note_visu IN (1,3,4)

28. 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 = 303011 AND W.type_id = 1) OR (W.util_id <> 303011 AND W.type_id = 2)) AND (M.post_util_id = 303011 OR M.dest_util_id = 303011) 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=303011 AND note_visu IN (1,3,4)

30. 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 = 247993 AND W.type_id = 1) OR (W.util_id <> 247993 AND W.type_id = 2)) AND (M.post_util_id = 247993 OR M.dest_util_id = 247993) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=247993 AND note_visu IN (1,3,4)

32. 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 = 286343 AND W.type_id = 1) OR (W.util_id <> 286343 AND W.type_id = 2)) AND (M.post_util_id = 286343 OR M.dest_util_id = 286343) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=286343 AND note_visu IN (1,3,4)

34. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92600'

35. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.9112*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9112*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28556- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.731335678816 AND ville_latitude_deg<49.091064321184 AND ville_longitude_deg>2.0118884034916 AND ville_longitude_deg<2.5592315965084 HAVING distance <= 20 ORDER BY distance ASC

36. 0.0064

    SELECT ville_cp, ROUND((((acos(sin((48.9112*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9112*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28556- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.461539197041 AND ville_latitude_deg<49.360860802959 AND ville_longitude_deg>1.6013751089489 AND ville_longitude_deg<2.9697448910511 HAVING distance <= 50 ORDER BY distance ASC

37. 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 (802)

38. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (247993,115848,303011,69543,211265,286343)

39. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (247993,115848,303011,69543,211265,286343)

40. 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=228 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

41. 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='chaise haute' OR ssrubr_slug like '%chaise haute%' OR MATCH (ssrubr_slug) AGAINST ('(+chaise +haute)')) AND sk.ssrubr_id='802' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

42. 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 = 228 AND ss.ssrubr_id <> 802 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

43. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='802' AND actu_niveau=0 ORDER BY actu_ordre DESC

44. 0.0001

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

45. 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

46. 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 (228) ORDER BY ssrubr_order ASC

47. 0.0017

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

48. 0.0271

    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'

49. 0.0198

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

49 requetes sql en 0.0961