Location débroussailleuse à 92420 Vaucresson

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-jardinage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=88

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='92'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92420' AND ville_nom like '%vaucresson%' 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 '%debroussailleuse%' OR ssrubr_title like '%debroussailleuse%' OR ssrubr_slug like '%debroussailleuse%') AND cate_id='88' 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='92420'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.175- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>1.9017541866782 AND ville_longitude_deg<2.4482458133218 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='débroussailleuse'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='88'AND MATCH (wish_title,wish_desc) AGAINST ('+débroussailleuse*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '92420%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=88

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='débroussailleuse' OR ssrubr_slug='débroussailleuse' OR (ssrubr_title like '%débroussailleuse%')) AND cate_id='88' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='debroussailleuse' AND cate_id='88'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92420'

19. 0.0027

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.175- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>1.9017541866782 AND ville_longitude_deg<2.4482458133218 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0089

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.175- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.383639197041 AND ville_latitude_deg<49.282960802959 AND ville_longitude_deg>1.4918795760945 AND ville_longitude_deg<2.8581204239055 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0691

    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((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.175- 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='88' AND MATCH (wish_desc) AGAINST ('(+débroussailleuse*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92420,92420,92430,92380,92410,92310,78170,92210,78140,78220,78150,92370,78150,78290,78000,78380,92100,92360,92190,92800,78430,92150,78400,92500,92130,78870,78560,78350,92000,78160,92140,78530,78350,78590,78110,78750,92200,92350,78210,78620,92320,92400,78590,92170,92250,78230,78420,92240,78330,78800,78360,78112,92260,92330,91570,92220,92290,78100,78117,92120,92700,78280,92300,91400,91430,91370,92270,91430,95870,78450,78860,94250,92110,92600,78600,94110,78390,92340,78117,78240,75005,75019,75009,75020,75116,75003,75008,75007,78180,75006,75004,75010,75011,75015,75000,75016,75002,75014,75012,75013,75017,75018,75001,94238,94239,94236,94235,94240,94237,94232,94231,94233,94230,94234,78500,78960,92160,78600,91190,91190,91300,78114,93400,78240,94260,78190,91120,95100,78450,78340,94270,92230,78300,78470,94800,94550,91400,91440,95530,94205,94200,78810,91140,95110,94150,92390,93450,78470,91320,93800,78470,91160,78370,78955,95370,95240,91940,78630,95218,95210,78260,91940,91190,94320,95130,91140,93310,78990,94400,91160,91380,93210,78460,93200,78700,94160,94220,93300,93120,95120,91160,93500,93170,78810,94140,95880,78670,78670,78570,93430,78121,91940,95220,91420,78320,78320,94390,94310,78850,94300,91400,95230,95130,91470,91550,94600,93100,94700,95360,78720,78570,93260,93230) 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 = 160108 AND W.type_id = 1) OR (W.util_id <> 160108 AND W.type_id = 2)) AND (M.post_util_id = 160108 OR M.dest_util_id = 160108) 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=160108 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 = 234488 AND W.type_id = 1) OR (W.util_id <> 234488 AND W.type_id = 2)) AND (M.post_util_id = 234488 OR M.dest_util_id = 234488) 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=234488 AND note_visu IN (1,3,4)

26. 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 = 291601 AND W.type_id = 1) OR (W.util_id <> 291601 AND W.type_id = 2)) AND (M.post_util_id = 291601 OR M.dest_util_id = 291601) 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=291601 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 = 81711 AND W.type_id = 1) OR (W.util_id <> 81711 AND W.type_id = 2)) AND (M.post_util_id = 81711 OR M.dest_util_id = 81711) 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=81711 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 = 335340 AND W.type_id = 1) OR (W.util_id <> 335340 AND W.type_id = 2)) AND (M.post_util_id = 335340 OR M.dest_util_id = 335340) 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=335340 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 = 382671 AND W.type_id = 1) OR (W.util_id <> 382671 AND W.type_id = 2)) AND (M.post_util_id = 382671 OR M.dest_util_id = 382671) 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=382671 AND note_visu IN (1,3,4)

34. 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 = 162472 AND W.type_id = 1) OR (W.util_id <> 162472 AND W.type_id = 2)) AND (M.post_util_id = 162472 OR M.dest_util_id = 162472) 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=162472 AND note_visu IN (1,3,4)

36. 0.0005

    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 = 311956 AND W.type_id = 1) OR (W.util_id <> 311956 AND W.type_id = 2)) AND (M.post_util_id = 311956 OR M.dest_util_id = 311956) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=311956 AND note_visu IN (1,3,4)

38. 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 = 539708 AND W.type_id = 1) OR (W.util_id <> 539708 AND W.type_id = 2)) AND (M.post_util_id = 539708 OR M.dest_util_id = 539708) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

39. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=539708 AND note_visu IN (1,3,4)

40. 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 = 540076 AND W.type_id = 1) OR (W.util_id <> 540076 AND W.type_id = 2)) AND (M.post_util_id = 540076 OR M.dest_util_id = 540076) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

41. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=540076 AND note_visu IN (1,3,4)

42. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92420'

43. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.175- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>1.9017541866782 AND ville_longitude_deg<2.4482458133218 HAVING distance <= 20 ORDER BY distance ASC

44. 0.0067

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.175- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.383639197041 AND ville_latitude_deg<49.282960802959 AND ville_longitude_deg>1.4918795760945 AND ville_longitude_deg<2.8581204239055 HAVING distance <= 50 ORDER BY distance ASC

45. 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 (2,1149,23)

46. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (335340,311956,81711,291601,234488,160108,540076,539708,382671,162472)

47. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (335340,311956,81711,291601,234488,160108,540076,539708,382671,162472)

48. 0.0003

    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=88 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

49. 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='débroussailleuse' OR ssrubr_slug like '%débroussailleuse%' OR MATCH (ssrubr_slug) AGAINST ('(+débroussailleuse)')) AND sk.ssrubr_id='2' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

50. 0.0003

    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 = 88 AND ss.ssrubr_id <> 2 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

51. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='2' AND actu_niveau=0 ORDER BY actu_ordre DESC

52. 0.0001

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

53. 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

54. 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 (88) ORDER BY ssrubr_order ASC

55. 0.001

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

56. 0.0362

    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'

57. 0.0261

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

57 requetes sql en 0.1622