Location tapis de sol à 92290 Châtenay-malabry

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-voyage'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=93

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('92' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92290' AND ville_nom like '%chatenay%malabry%' 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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%tapis%de%sol%' OR ssrubr_title like '%tapis%de%sol%' OR ssrubr_slug like '%tapis%de%sol%') AND cate_id='93' 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='92290'

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(((2.26667- 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>1.9937867581343 AND ville_longitude_deg<2.5395532418657 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='tapis sol; tapis de sol'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='93' AND ssrubr_id='997' AND wish_visu IN (1,6,10) AND wish_cp like '92290%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=93

16. 0.0001

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='tapis sol; tapis de sol' OR ssrubr_slug='tapis-sol;-tapis-de-sol' OR (ssrubr_title like '%tapis sol; tapis de sol%')) AND cate_id='93' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='tapis-de-sol' AND cate_id='93'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92290'

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(((2.26667- 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>1.9937867581343 AND ville_longitude_deg<2.5395532418657 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0067

    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(((2.26667- 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>1.5844560125509 AND ville_longitude_deg<2.9488839874491 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0005

    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(((2.26667- 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='93' AND ssrubr_id='997' AND wish_visu IN (1,6,10) AND wish_cp IN (92290,92290,92350,91370,92260,92330,92160,92140,92340,92320,91300,91570,94260,92220,92190,92360,94240,94230,94232,94233,94238,91430,94239,94237,94236,94235,94231,94234,92130,91120,92240,94550,92370,94110,91430,91320,94150,92120,78140,78350,94250,92310,91160,92100,91140,92170,91380,91160,78220,94800,91400,92410,94320,91420,92210,94270,91550,91160,91140,91400,78530,78350,94400,94310,94390,92420,92430,94205,94200,92380,91440,78000,94600,78117,91160,91200,91190,92150,92800,94140,94290,91360,75018,75012,75013,75014,75015,75016,75003,75116,75017,75019,75011,75010,75005,75020,75006,75002,75000,75001,75007,75008,75009,75004,91940,91360,78150,94220,94480,91190,78170,91260,91390,91600,94700,78117,92200,91620,91620,91700,94160,78150,91270,91940,91190,91940,92500,94190,91170,91210,91560,92400,78280,94000,94460,78380,78290,91310,91310,92300,92250,91310,92110,91460,91240,94410,78210,78114,94300,91230,78470,78400,91350,91640,93400,92000,91700,78430,93170,91400,94340,94380,78960,92600,93310,94450,78470,78870,93100,91700,92270,92700,91310,78330,78560,91130,91000,91220,91220,78180,78590,78800,78160,94210,94340,94100,78590,94130,78460,93500,78420,93260,93230,91330,94120,78620,91470,91470,94470,78110,91180,91800,78750,92230,91450,94430,78390,91470,78470,78360,93300,93120,91640,91070,95870,94500,93450,92390,91680,78230,91080,93110,94170,94370,94380,93130,78112,78190,93210,93200,78450,94360,91640,78100,93000) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (36911,372293,354723)

23. 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 = 36911 AND W.type_id = 1) OR (W.util_id <> 36911 AND W.type_id = 2)) AND (M.post_util_id = 36911 OR M.dest_util_id = 36911) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=36911 AND note_visu IN (1,3,4)

25. 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 = 372293 AND W.type_id = 1) OR (W.util_id <> 372293 AND W.type_id = 2)) AND (M.post_util_id = 372293 OR M.dest_util_id = 372293) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=372293 AND note_visu IN (1,3,4)

27. 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 = 354723 AND W.type_id = 1) OR (W.util_id <> 354723 AND W.type_id = 2)) AND (M.post_util_id = 354723 OR M.dest_util_id = 354723) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=354723 AND note_visu IN (1,3,4)

29. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92290'

30. 0.002

    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(((2.26667- 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>1.9937867581343 AND ville_longitude_deg<2.5395532418657 HAVING distance <= 20 ORDER BY distance ASC

31. 0.0065

    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(((2.26667- 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>1.5844560125509 AND ville_longitude_deg<2.9488839874491 HAVING distance <= 50 ORDER BY distance ASC

32. 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 (997)

33. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (354723,372293,36911)

34. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (354723,372293,36911)

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='tapis sol; tapis de sol' OR ssrubr_slug like '%tapis sol; tapis de sol%' OR MATCH (ssrubr_slug) AGAINST ('(+tapis +sol; +tapis +de +sol)')) AND sk.ssrubr_id='997' 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 = 93 AND ss.ssrubr_id <> 997 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

37. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='997' 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. 0.0001

    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

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 (93) ORDER BY ssrubr_order ASC

41. 0.0017

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

42. 0.0371

    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. 0.0242

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

43 requetes sql en 0.0879