Location matelas de voyage à 92400 Courbevoie

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='equipement-voyage'

3. 0

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

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='92'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92400' AND ville_nom like '%courbevoie%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0005

   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 '%matelas%de%voyage%' OR ssrubr_title like '%matelas%de%voyage%' OR ssrubr_slug like '%matelas%de%voyage%') 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. 0.0002

    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='92400'

12. 0.003

    SELECT ville_cp, ROUND((((acos(sin((48.8973*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8973*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25222- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.717435678816 AND ville_latitude_deg<49.077164321184 AND ville_longitude_deg>1.9786245119596 AND ville_longitude_deg<2.5258154880404 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='matelas; matelas de voyage'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='93'AND MATCH (wish_title,wish_desc) AGAINST ('+matelas; matelas de voyage*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '92400%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=93

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='matelas; matelas de voyage' OR ssrubr_slug='matelas;-matelas-de-voyage' OR (ssrubr_title like '%matelas; matelas de voyage%')) 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='matelas-de-voyage' AND cate_id='93'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92400'

19. 0.003

    SELECT ville_cp, ROUND((((acos(sin((48.8973*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8973*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25222- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.717435678816 AND ville_latitude_deg<49.077164321184 AND ville_longitude_deg>1.9786245119596 AND ville_longitude_deg<2.5258154880404 HAVING distance <= 20 ORDER BY distance ASC

20. 0.009

    SELECT ville_cp, ROUND((((acos(sin((48.8973*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8973*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25222- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.447639197041 AND ville_latitude_deg<49.346960802959 AND ville_longitude_deg>1.5682253817597 AND ville_longitude_deg<2.9362146182403 HAVING distance <= 50 ORDER BY distance ASC

21. 0.017

    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((48.8973*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8973*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25222- 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 MATCH (wish_desc) AGAINST ('(+matelas; +matelas +de +voyage*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92400,92400,92250,92200,92700,92300,92270,92600,92110,92800,92150,92000,92500,78800,95870,92230,78420,95100,93400,92210,92100,92390,93800,93450,78400,95110,78500,78360,75018,75008,75011,75007,75006,75005,75003,75002,75000,75001,75019,75009,75010,75020,75116,75016,75015,75004,75014,75013,75017,75012,92170,92380,95210,95218,93200,93210,92130,95880,92420,92430,78170,92410,95530,78290,78380,93430,78600,92240,95120,95130,92310,93120,93300,78110,92190,92360,78560,92120,78600,95230,95240,78430,95360,94250,93500,95370,92140,93310,92320,78230,93240,95170,92220,93380,92370,95130,95600,95410,95580,78140,95580,78150,94270,78150,94110,78100,78750,93170,78220,93350,92350,78160,95160,92260,92330,95220,94205,94200,95320,95390,93260,93230,93440,78870,95680,78112,93100,94800,95250,78000,94160,78620,94233,94232,94231,94234,94235,94239,94230,94240,94236,94238,94237,95350,94300,95140,92340,93000,78590,92290,78700,95480,95400,95200,94220,93700,93150,95350,78300,95500,95550,95150,95400,78260,93140,93130,78350,78240,94140,94550,95330,95440,91370,78590,91570,78570,94400,92160,78350,78530,95840,95560,78955,94260,94700,95740,78240,93110,95460,78330,95610,95500,95570,78210,94320,94410,94120,78780,94150,95570,78860,94340,93250,94130,91300,91430,95570,91430,78570,78450,95720,94600,94170,95840,95000,78117,95560,91320,95540,91400,95720,93320,93340,78670,78670,95500,95560,94310,94390,93360,95310,78630,95430,78280) 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 = 115356 AND W.type_id = 1) OR (W.util_id <> 115356 AND W.type_id = 2)) AND (M.post_util_id = 115356 OR M.dest_util_id = 115356) 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=115356 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 = 331094 AND W.type_id = 1) OR (W.util_id <> 331094 AND W.type_id = 2)) AND (M.post_util_id = 331094 OR M.dest_util_id = 331094) 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=331094 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 = 359855 AND W.type_id = 1) OR (W.util_id <> 359855 AND W.type_id = 2)) AND (M.post_util_id = 359855 OR M.dest_util_id = 359855) 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=359855 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 = 259453 AND W.type_id = 1) OR (W.util_id <> 259453 AND W.type_id = 2)) AND (M.post_util_id = 259453 OR M.dest_util_id = 259453) 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=259453 AND note_visu IN (1,3,4)

30. 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 = 467371 AND W.type_id = 1) OR (W.util_id <> 467371 AND W.type_id = 2)) AND (M.post_util_id = 467371 OR M.dest_util_id = 467371) 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=467371 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 = 543293 AND W.type_id = 1) OR (W.util_id <> 543293 AND W.type_id = 2)) AND (M.post_util_id = 543293 OR M.dest_util_id = 543293) 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=543293 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='92400'

35. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.8973*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8973*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25222- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.717435678816 AND ville_latitude_deg<49.077164321184 AND ville_longitude_deg>1.9786245119596 AND ville_longitude_deg<2.5258154880404 HAVING distance <= 20 ORDER BY distance ASC

36. 0.0066

    SELECT ville_cp, ROUND((((acos(sin((48.8973*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8973*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25222- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.447639197041 AND ville_latitude_deg<49.346960802959 AND ville_longitude_deg>1.5682253817597 AND ville_longitude_deg<2.9362146182403 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 (916,1119)

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 (115356,331094,543293,467371,259453,359855)

39. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (115356,331094,543293,467371,259453,359855)

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=93 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

41. 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='matelas; matelas de voyage' OR ssrubr_slug like '%matelas; matelas de voyage%' OR MATCH (ssrubr_slug) AGAINST ('(+matelas; +matelas +de +voyage)')) AND sk.ssrubr_id='916' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

42. 0.0001

    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 <> 916 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

43. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='916' AND actu_niveau=0 ORDER BY actu_ordre DESC

44. 0

    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. 0.0001

    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 (93) ORDER BY ssrubr_order ASC

47. 0.0009

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

48. 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'

49. 0.0245

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

49 requetes sql en 0.0992