Location détecteur métaux à 77186 Noisiel

1. 0.0001

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='materiel-bricolage'

2. 0.0001

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

3. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='77'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='77186' AND ville_nom like '%noisiel%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0016

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%detecteur%' OR ssrubr_title like '%detecteur%' OR ssrubr_slug like '%detecteur%') AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

6. 0.0001

   SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='77186'

7. 0.0019

   SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>2.3599930625247 AND ville_longitude_deg<2.9066669374753 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='détecteur'

9. 0.0003

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+détecteur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '77186%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=87

11. 0.0004

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

12. 0.0001

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

13. 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

14. 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

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='detecteur' AND cate_id='87'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77186'

17. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>2.3599930625247 AND ville_longitude_deg<2.9066669374753 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0054

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.400339197041 AND ville_latitude_deg<49.299660802959 AND ville_longitude_deg>1.9499817637462 AND ville_longitude_deg<3.3166782362538 HAVING distance <= 50 ORDER BY distance ASC

19. 0.1185

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='87' AND MATCH (wish_desc) AGAINST ('(+détecteur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (77186,77186,77200,77185,77360,77420,77183,77090,77600,77177,77184,77400,77500,93160,77600,77600,77400,93460,77400,77680,77340,77164,94420,77600,77400,94350,77400,93330,93370,77135,77410,77181,77600,93220,77400,77400,94510,77181,93470,93360,77144,77600,94360,94500,77270,77330,94880,77410,94490,93190,93390,94880,94170,93340,93320,94430,93250,77700,77144,93410,77700,94120,93110,94130,94210,94340,94100,93270,77410,94380,94370,77410,77450,77450,93290,93130,77174,94340,77150,77150,77410,94410,77700,93140,77700,77700,77410,93600,94470,94000,94440,77410,77220,94380,77450,93000,94300,93100,77290,93420,77220,77173,77450,93230,93260,77174,77170,77410,94440,77410,77450,94700,77580,93170,94160,77410,77220,77860,94220,77450,93700,93150,77450,77450,94460,94440,94140,77290,94450,77220,77610,77230,93310,77860,91330,94520,94520,93500,93350,94600,77410,77170,94400,94205,94190,94200,77230,77990,77166,95700,77860,77165,77220,91800,93440,77100,77230,95500,77610,77580,77580,93120,93300,91480,94270,77230,91800,77165,95500,77165,95500,91560)

20. 0.0956

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.63333- 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 ('(+détecteur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (77186,77186,77200,77185,77360,77420,77183,77090,77600,77177,77184,77400,77500,93160,77600,77600,77400,93460,77400,77680,77340,77164,94420,77600,77400,94350,77400,93330,93370,77135,77410,77181,77600,93220,77400,77400,94510,77181,93470,93360,77144,77600,94360,94500,77270,77330,94880,77410,94490,93190,93390,94880,94170,93340,93320,94430,93250,77700,77144,93410,77700,94120,93110,94130,94210,94340,94100,93270,77410,94380,94370,77410,77450,77450,93290,93130,77174,94340,77150,77150,77410,94410,77700,93140,77700,77700,77410,93600,94470,94000,94440,77410,77220,94380,77450,93000,94300,93100,77290,93420,77220,77173,77450,93230,93260,77174,77170,77410,94440,77410,77450,94700,77580,93170,94160,77410,77220,77860,94220,77450,93700,93150,77450,77450,94460,94440,94140,77290,94450,77220,77610,77230,93310,77860,91330,94520,94520,93500,93350,94600,77410,77170,94400,94205,94190,94200,77230,77990,77166,95700,77860,77165,77220,91800,93440,77100,77230,95500,77610,77580,77580,93120,93300,91480,94270,77230,91800,77165,95500,77165,95500,91560) AND type_id=1 GROUP BY wish_id

21. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77186'

22. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>2.3599930625247 AND ville_longitude_deg<2.9066669374753 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0053

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.400339197041 AND ville_latitude_deg<49.299660802959 AND ville_longitude_deg>1.9499817637462 AND ville_longitude_deg<3.3166782362538 HAVING distance <= 50 ORDER BY distance ASC

24. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 246379 AND W.type_id = 1) OR (W.util_id != 246379 AND W.type_id = 2)) AND (`post_util_id` = 246379 OR `dest_util_id` = 246379) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=246379 AND note_visu IN (1,3,4)

26. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 286892 AND W.type_id = 1) OR (W.util_id != 286892 AND W.type_id = 2)) AND (`post_util_id` = 286892 OR `dest_util_id` = 286892) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=286892 AND note_visu IN (1,3,4)

28. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo 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='1157' LIMIT 0,1

29. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 246379 AND W.type_id = 1) OR (W.util_id != 246379 AND W.type_id = 2)) AND (`post_util_id` = 246379 OR `dest_util_id` = 246379) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

30. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 246379

31. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo 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='771' LIMIT 0,1

32. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 286892 AND W.type_id = 1) OR (W.util_id != 286892 AND W.type_id = 2)) AND (`post_util_id` = 286892 OR `dest_util_id` = 286892) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

33. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 286892

34. 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=87 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

35. 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='détecteur' OR ssrubr_slug like '%détecteur%' OR MATCH (ssrubr_slug) AGAINST ('(+détecteur)')) AND sk.ssrubr_id='771' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='771' AND actu_niveau=0 ORDER BY actu_ordre DESC

37. 0.0009

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

38. 0

    SELECT count(*) as nbwish FROM wish

39. 0.045

    SELECT note.*, post.util_prenom as postp, post.util_nom as postn, dest.util_prenom as destp, dest.util_nom as destn, w.wish_id, w.wish_desc, w.fami_id FROM note, util_info dest, util_info post, wish w WHERE note.wish_id=w.wish_id AND note.post_util_id=post.util_id AND note.dest_util_id=dest.util_id AND note_visu IN (1,2,3,4) AND post_util_id<>'7' ORDER BY note_date DESC, note_hour DESC

39 requetes sql en 0.2811