Location réflex à 94440 Santeny

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='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='94440' AND ville_nom like '%santeny%' 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. 0.001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%reflex%numerique%' OR ssrubr_title like '%reflex%numerique%' OR ssrubr_slug like '%reflex%numerique%') 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. 0.0002

    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='94440'

12. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*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>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>2.260718085411 AND ville_longitude_deg<2.805941914589 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='réflex numérique'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='232'AND MATCH (wish_title,wish_desc) AGAINST ('+réflex numérique*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '94440%'

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='réflex numérique' OR ssrubr_slug='réflex-numérique' OR (ssrubr_title like '%réflex numérique%')) 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='reflex-numerique' AND cate_id='232'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94440'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*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>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>2.260718085411 AND ville_longitude_deg<2.805941914589 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0062

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*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>48.267039197041 AND ville_latitude_deg<49.166360802959 AND ville_longitude_deg>1.8517943365919 AND ville_longitude_deg<3.2148656634081 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0194

    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((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*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 ('(+réflex +numérique*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94440,94440,94440,94520,94520,94440,91330,91800,77170,91800,94470,91860,94450,91480,94380,91480,94370,77380,91560,94460,94190,91230,77150,94380,77170,94490,94880,94880,77150,94510,94480,94290,91270,94000,91210,94430,77127,94210,94100,94340,91250,91450,77173,91200,77166,94600,94390,94310,77166,91450,77340,91090,91000,94500,77330,91000,91130,94420,91280,91260,91250,94700,94340,77550,91550,94400,94320,91170,94410,77680,94140,77184,94360,94350,91250,91350,77111,77170,94130,91100,94150,94220,77185,77550,94550,91600,91390,77220,91420,91320,77550,93330,91080,94170,93160,77176,94120,94800,77135,91700,77111,94160,91090,77420,94205,94200,77550,91070,91360,77220,91100,77090,77183,94260,77390,94232,94239,94230,94231,94233,94234,94235,94236,94237,94238,94240,94270,94300,77186,93360,91360,91830,91250,93460,77176,93110,77200,77164,92340,77220,91160,91380,77220,94110,91700,77240,92160,77240,77950,93100,91540,91540,94250,77390,91300,77600,93220,77240,91700,77390,93250,93170,77360,77220,77500,93130,91160,77600,77600,77950,77950,91540,92120,91220,91220,92220,77390,91240,91160,92330,92260,91370,93230,93260,91160,77177,77400,77950) 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 = 387475 AND W.type_id = 1) OR (W.util_id <> 387475 AND W.type_id = 2)) AND (M.post_util_id = 387475 OR M.dest_util_id = 387475) 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=387475 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 = 433013 AND W.type_id = 1) OR (W.util_id <> 433013 AND W.type_id = 2)) AND (M.post_util_id = 433013 OR M.dest_util_id = 433013) 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=433013 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 = 483382 AND W.type_id = 1) OR (W.util_id <> 483382 AND W.type_id = 2)) AND (M.post_util_id = 483382 OR M.dest_util_id = 483382) 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=483382 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 = 545837 AND W.type_id = 1) OR (W.util_id <> 545837 AND W.type_id = 2)) AND (M.post_util_id = 545837 OR M.dest_util_id = 545837) 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=545837 AND note_visu IN (1,3,4)

30. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94440'

31. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*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>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>2.260718085411 AND ville_longitude_deg<2.805941914589 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0059

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*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>48.267039197041 AND ville_latitude_deg<49.166360802959 AND ville_longitude_deg>1.8517943365919 AND ville_longitude_deg<3.2148656634081 HAVING distance <= 50 ORDER BY distance ASC

33. 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 (644)

34. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (545837,433013,483382,387475)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (545837,433013,483382,387475)

36. 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

37. 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='réflex numérique' OR ssrubr_slug like '%réflex numérique%' OR MATCH (ssrubr_slug) AGAINST ('(+réflex +numérique)')) AND sk.ssrubr_id='644' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 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_id = 644 LIMIT 1

39. 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 = 232 AND ss.ssrubr_id <> 644 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

40. 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_id = 644 LIMIT 1

41. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='644' AND actu_niveau=0 ORDER BY actu_ordre DESC

42. 0

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

43. 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

44. 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 (232) ORDER BY ssrubr_order ASC

45. 0.0009

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

46. 0.023

    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'

47. 0.0166

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

47 requetes sql en 0.0834