Location marteau piqueur à 91000 évry

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-bricolage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=87

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='91'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91000' AND ville_nom like '%evry%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%marteau%piqueur%' OR ssrubr_title like '%marteau%piqueur%' OR ssrubr_slug like '%marteau%piqueur%') AND cate_id='87' 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='91000'

12. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.453435678816 AND ville_latitude_deg<48.813164321184 AND ville_longitude_deg>2.1778390001937 AND ville_longitude_deg<2.7221609998063 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='marteau piqueur'

14. 0.0013

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+marteau piqueur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '91000%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=87

16. 0.0004

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='marteau piqueur' OR ssrubr_slug='marteau-piqueur' OR (ssrubr_title like '%marteau piqueur%')) AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='marteau-piqueur' AND cate_id='87'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91000'

19. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.453435678816 AND ville_latitude_deg<48.813164321184 AND ville_longitude_deg>2.1778390001937 AND ville_longitude_deg<2.7221609998063 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0071

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.183639197041 AND ville_latitude_deg<49.082960802959 AND ville_longitude_deg>1.7695916332696 AND ville_longitude_deg<3.1304083667304 HAVING distance <= 50 ORDER BY distance ASC

21. 0.1037

    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((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- 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='87' AND MATCH (wish_desc) AGAINST ('(+marteau +piqueur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91000,91090,91000,91450,91450,91130,91000,91250,91250,91280,91080,91090,91100,91250,91350,91070,91100,91210,91700,91170,91480,77127,91860,91260,91230,91540,91540,91270,91390,91600,91830,91800,91250,91540,91800,91700,91560,91360,77380,91480,94480,91810,91200,91220,91540,91330,91220,77176,94520,94520,91360,91240,91550,91710,94440,94190,77550,91700,91750,91420,94290,94450,91830,77240,91310,77176,91630,94440,91160,77550,91610,91750,94460,77310,91380,91160,91630,77240,94440,77170,91310,91310,94310,94390,77170,91620,77166,94470,91320,77310,91770,77240,91160,91290,91310,94150,94380,94600,91180,91750,91160,91630,77310,91760,94320,91290,91460,77550,91620,94380,94370,94260,77350,91630,91140,91630,77150,91300,91590,94550,94000,91590,91140,77166,77950,92160,91850,94400,77111,77550,91120,77150,77350,77950,77350,91340,91520,94880,94880,94490,91590,77930,77173,92340,91890,94700,77950,91840,91370,94140,91510,91510,77170,94234,94232,94231,94230,94240,91680,94235,94236,94237,94238,94239,94233,77190,94340,94100,94210,77930,77930,94430,77950,94510,77000,91730,77000,91790,94800,77111,91590,77190) AND type_id=1 GROUP BY wish_id

22. 0.0004

    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 = 88112 AND W.type_id = 1) OR (W.util_id <> 88112 AND W.type_id = 2)) AND (M.post_util_id = 88112 OR M.dest_util_id = 88112) 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=88112 AND note_visu IN (1,3,4)

24. 0.0003

    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 = 166333 AND W.type_id = 1) OR (W.util_id <> 166333 AND W.type_id = 2)) AND (M.post_util_id = 166333 OR M.dest_util_id = 166333) 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=166333 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 = 237197 AND W.type_id = 1) OR (W.util_id <> 237197 AND W.type_id = 2)) AND (M.post_util_id = 237197 OR M.dest_util_id = 237197) 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=237197 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 = 290877 AND W.type_id = 1) OR (W.util_id <> 290877 AND W.type_id = 2)) AND (M.post_util_id = 290877 OR M.dest_util_id = 290877) 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=290877 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 = 238905 AND W.type_id = 1) OR (W.util_id <> 238905 AND W.type_id = 2)) AND (M.post_util_id = 238905 OR M.dest_util_id = 238905) 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=238905 AND note_visu IN (1,3,4)

32. 0.0006

    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 = 138228 AND W.type_id = 1) OR (W.util_id <> 138228 AND W.type_id = 2)) AND (M.post_util_id = 138228 OR M.dest_util_id = 138228) 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=138228 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 = 396835 AND W.type_id = 1) OR (W.util_id <> 396835 AND W.type_id = 2)) AND (M.post_util_id = 396835 OR M.dest_util_id = 396835) 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=396835 AND note_visu IN (1,3,4)

36. 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 = 87280 AND W.type_id = 1) OR (W.util_id <> 87280 AND W.type_id = 2)) AND (M.post_util_id = 87280 OR M.dest_util_id = 87280) 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=87280 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 = 504743 AND W.type_id = 1) OR (W.util_id <> 504743 AND W.type_id = 2)) AND (M.post_util_id = 504743 OR M.dest_util_id = 504743) 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=504743 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 = 518123 AND W.type_id = 1) OR (W.util_id <> 518123 AND W.type_id = 2)) AND (M.post_util_id = 518123 OR M.dest_util_id = 518123) 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=518123 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='91000'

43. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.453435678816 AND ville_latitude_deg<48.813164321184 AND ville_longitude_deg>2.1778390001937 AND ville_longitude_deg<2.7221609998063 HAVING distance <= 20 ORDER BY distance ASC

44. 0.0069

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.183639197041 AND ville_latitude_deg<49.082960802959 AND ville_longitude_deg>1.7695916332696 AND ville_longitude_deg<3.1304083667304 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 (58)

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 (237197,88112,138228,518123,166333,87280,396835,290877,504743,238905)

47. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (237197,88112,138228,518123,166333,87280,396835,290877,504743,238905)

48. 0.0005

    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=87 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='marteau piqueur' OR ssrubr_slug like '%marteau piqueur%' OR MATCH (ssrubr_slug) AGAINST ('(+marteau +piqueur)')) AND sk.ssrubr_id='58' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

50. 0.0004

    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 = 87 AND ss.ssrubr_id <> 58 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

51. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='58' 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. 0.0003

    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 (87) ORDER BY ssrubr_order ASC

55. 0.0018

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

56. 0.0282

    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. 0.0185

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

57 requetes sql en 0.1817