Location table mixage à 94370 Sucy-en-brie

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='materiel-audiovisuel'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=232

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='94'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='94370' AND ville_nom like '%sucy%en%brie%' 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. 0.0012

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%table%de%mixage%' OR ssrubr_title like '%table%de%mixage%' OR ssrubr_slug like '%table%de%mixage%') AND cate_id='232' 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='94370'

12. 0.0027

    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(((2.53333- 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>2.2604467581343 AND ville_longitude_deg<2.8062132418657 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='table de mixage'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='232'AND MATCH (wish_title,wish_desc) AGAINST ('+table de mixage*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '94370%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=232

16. 0.0001

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='table de mixage' OR ssrubr_slug='table-de-mixage' OR (ssrubr_title like '%table de mixage%')) AND cate_id='232' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='table-de-mixage' AND cate_id='232'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94370'

19. 0.0028

    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(((2.53333- 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>2.2604467581343 AND ville_longitude_deg<2.8062132418657 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0071

    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(((2.53333- 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>1.8511160125509 AND ville_longitude_deg<3.2155439874491 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0301

    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(((2.53333- 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='232' AND MATCH (wish_desc) AGAINST ('(+table +de +mixage*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94370,94370,94380,94490,94880,94880,94470,94380,94430,94440,94510,94100,94210,94340,94000,94450,94460,94440,94500,91330,94420,94440,77340,77170,94190,77150,94340,94350,94360,94520,94520,91800,94410,94700,77150,91560,94130,77184,94600,93330,91800,94140,94290,77680,91860,94170,93160,77185,91230,77330,94400,94310,94390,94120,91480,94220,94480,77420,94320,77170,91480,93360,91200,77173,94160,91270,77380,93460,93110,77186,94300,77183,77090,94205,94200,77200,91210,94800,77135,93220,93250,93100,94270,91550,94550,77166,94150,77500,93130,77164,93170,77360,91450,77600,91260,77166,94232,94231,94234,94235,94236,94239,94237,94230,94233,94238,94240,93320,93340,77127,93230,93260,77177,93370,91250,94110,91320,77220,77600,77600,91130,91000,93140,91450,77400,91170,94250,92340,94260,93000,91090,91000,93310,91420,77400,77170,93190,93390,77600,92120,77220,91280,77400,91350,77111,93470,77181,91250,92160,75010,75006,75013,75009,75012,75020,75011,75005,75014,75015,75018,75019,75004,75016,75001,75000,75002,75003,75116,75007,75008,75017,77550,77400,91600,91390,92220,77220,77600,93500,77181,92240,77600,77220,77390,91360,92260,92330,93270,92170,91160,77220,91380,77400,93410,92320,77111,91250,91300,77410,91100,91700,91080,77550,77144,91360,77270,93150,93700,77550,92290,77400,91370,92350,92140,93300,93120,77550,91070,77400) 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 = 190277 AND W.type_id = 1) OR (W.util_id <> 190277 AND W.type_id = 2)) AND (M.post_util_id = 190277 OR M.dest_util_id = 190277) 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=190277 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 = 311230 AND W.type_id = 1) OR (W.util_id <> 311230 AND W.type_id = 2)) AND (M.post_util_id = 311230 OR M.dest_util_id = 311230) 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=311230 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 = 318611 AND W.type_id = 1) OR (W.util_id <> 318611 AND W.type_id = 2)) AND (M.post_util_id = 318611 OR M.dest_util_id = 318611) 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=318611 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 = 411306 AND W.type_id = 1) OR (W.util_id <> 411306 AND W.type_id = 2)) AND (M.post_util_id = 411306 OR M.dest_util_id = 411306) 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=411306 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 = 492200 AND W.type_id = 1) OR (W.util_id <> 492200 AND W.type_id = 2)) AND (M.post_util_id = 492200 OR M.dest_util_id = 492200) 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=492200 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 = 493301 AND W.type_id = 1) OR (W.util_id <> 493301 AND W.type_id = 2)) AND (M.post_util_id = 493301 OR M.dest_util_id = 493301) 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=493301 AND note_visu IN (1,3,4)

34. 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 = 504412 AND W.type_id = 1) OR (W.util_id <> 504412 AND W.type_id = 2)) AND (M.post_util_id = 504412 OR M.dest_util_id = 504412) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=504412 AND note_visu IN (1,3,4)

36. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94370'

37. 0.0027

    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(((2.53333- 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>2.2604467581343 AND ville_longitude_deg<2.8062132418657 HAVING distance <= 20 ORDER BY distance ASC

38. 0.0078

    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(((2.53333- 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>1.8511160125509 AND ville_longitude_deg<3.2155439874491 HAVING distance <= 50 ORDER BY distance ASC

39. 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 (669,832)

40. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (493301,504412,311230,411306,492200,318611,190277)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (493301,504412,311230,411306,492200,318611,190277)

42. 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=232 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

43. 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='table de mixage' OR ssrubr_slug like '%table de mixage%' OR MATCH (ssrubr_slug) AGAINST ('(+table +de +mixage)')) AND sk.ssrubr_id='669' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 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 = 232 AND ss.ssrubr_id <> 669 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='669' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0.0001

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

47. 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

48. 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 (232) ORDER BY ssrubr_order ASC

49. 0.0009

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

50. 0.0327

    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'

51. 0.0227

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

51 requetes sql en 0.1165