Location nacelle à 93220 Gagny

1. 0.0001

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='equipement-pour-bebe'

2. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=228

3. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='93'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='93220' AND ville_nom like '%gagny%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%nacelle%' OR ssrubr_title like '%nacelle%' OR ssrubr_slug like '%nacelle%') AND cate_id='228' 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='93220'

7. 0.0027

   SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*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>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>2.2598111089253 AND ville_longitude_deg<2.8068488910747 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='nacelle'

9. 0.0006

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='228'AND MATCH (wish_title,wish_desc) AGAINST ('+nacelle*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '93220%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=228

11. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='nacelle' OR ssrubr_slug='nacelle' OR (ssrubr_title like '%nacelle%')) AND cate_id='228' 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. 0.0002

    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

14. 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 (228) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='nacelle' AND cate_id='228'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93220'

17. 0.0027

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*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>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>2.2598111089253 AND ville_longitude_deg<2.8068488910747 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0087

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*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>48.433639197041 AND ville_latitude_deg<49.332960802959 AND ville_longitude_deg>1.8495268758251 AND ville_longitude_deg<3.2171331241749 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0379

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='228' AND MATCH (wish_desc) AGAINST ('(+nacelle*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (93220,93220,93360,93320,93340,93250,93460,93370,93330,93390,93190,93110,94170,93160,93130,77500,94120,93470,77181,93140,93270,94350,94360,93410,77420,93000,94130,77181,93230,93260,77177,94500,93600,93100,94420,94300,77186,77185,93700,93150,77270,93290,77360,93170,94340,94410,93420,77410,77200,94430,94210,94340,94100,77184,93310,93500,93350,94160,77340,77400,77400,94880,94490,94880,77183,77090,94220,93440,93120,93300,77600,94510,94700,95500,94000,77400,95140,77680,94140,77290,95500,77600,77600,94370,94380,95700,93240,94205,94200,77400,77410,94380,95500,77400,77400,95500,77600,77410,93200,93210,95400,75006,75005,75004,75003,75002,75020,75001,75000,75007,75008,75116,75019,75018,75017,75016,75015,75014,75009,75010,75011,75012,75013,77410,94270,77164,77400,93400,94400,94470,93380,77410,77135,94800,77600,94600,94460,95190,77990,92390,93450,77410,77144,77290,77330,95360,93430,94250,77410,95720,95380,94440,77600,95380,95200,95400,94320,77700,77144,77990,94450,92110,94110,95410,77450,92120,77230,94390,94310,94190,77150,77230,95350,92230,92170,93800,77230,77150,95880,95170,92300,77450,94238,92600,94239,94233,94236,94237,94235,94234,94232,94230,94231,94240,95440,94440,95380,95380,92240,94550,77700,91330,94440,95720,94290,77170,77410,77410,92220,92200,91560,95190,77230,95160,77700,77410,92270,92340,95350,77230,94150)

20. 0.0426

    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((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*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='228' AND MATCH (wish_desc) AGAINST ('(+nacelle*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (93220,93220,93360,93320,93340,93250,93460,93370,93330,93390,93190,93110,94170,93160,93130,77500,94120,93470,77181,93140,93270,94350,94360,93410,77420,93000,94130,77181,93230,93260,77177,94500,93600,93100,94420,94300,77186,77185,93700,93150,77270,93290,77360,93170,94340,94410,93420,77410,77200,94430,94210,94340,94100,77184,93310,93500,93350,94160,77340,77400,77400,94880,94490,94880,77183,77090,94220,93440,93120,93300,77600,94510,94700,95500,94000,77400,95140,77680,94140,77290,95500,77600,77600,94370,94380,95700,93240,94205,94200,77400,77410,94380,95500,77400,77400,95500,77600,77410,93200,93210,95400,75006,75005,75004,75003,75002,75020,75001,75000,75007,75008,75116,75019,75018,75017,75016,75015,75014,75009,75010,75011,75012,75013,77410,94270,77164,77400,93400,94400,94470,93380,77410,77135,94800,77600,94600,94460,95190,77990,92390,93450,77410,77144,77290,77330,95360,93430,94250,77410,95720,95380,94440,77600,95380,95200,95400,94320,77700,77144,77990,94450,92110,94110,95410,77450,92120,77230,94390,94310,94190,77150,77230,95350,92230,92170,93800,77230,77150,95880,95170,92300,77450,94238,92600,94239,94233,94236,94237,94235,94234,94232,94230,94231,94240,95440,94440,95380,95380,92240,94550,77700,91330,94440,95720,94290,77170,77410,77410,92220,92200,91560,95190,77230,95160,77700,77410,92270,92340,95350,77230,94150) 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='93220'

22. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*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>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>2.2598111089253 AND ville_longitude_deg<2.8068488910747 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0088

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*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>48.433639197041 AND ville_latitude_deg<49.332960802959 AND ville_longitude_deg>1.8495268758251 AND ville_longitude_deg<3.2171331241749 HAVING distance <= 50 ORDER BY distance ASC

24. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 143833 AND W.type_id = 1) OR (W.util_id != 143833 AND W.type_id = 2)) AND (`post_util_id` = 143833 OR `dest_util_id` = 143833) 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=143833 AND note_visu IN (1,3,4)

26. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 206509 AND W.type_id = 1) OR (W.util_id != 206509 AND W.type_id = 2)) AND (`post_util_id` = 206509 OR `dest_util_id` = 206509) 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=206509 AND note_visu IN (1,3,4)

28. 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 = 164226 AND W.type_id = 1) OR (W.util_id != 164226 AND W.type_id = 2)) AND (`post_util_id` = 164226 OR `dest_util_id` = 164226) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=164226 AND note_visu IN (1,3,4)

30. 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='810' LIMIT 0,1

31. 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 = 206509 AND W.type_id = 1) OR (W.util_id != 206509 AND W.type_id = 2)) AND (`post_util_id` = 206509 OR `dest_util_id` = 206509) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

32. 0.0003

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 206509

33. 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='810' LIMIT 0,1

34. 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 = 143833 AND W.type_id = 1) OR (W.util_id != 143833 AND W.type_id = 2)) AND (`post_util_id` = 143833 OR `dest_util_id` = 143833) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

35. 0.0003

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 143833

36. 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='798' LIMIT 0,1

37. 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 = 164226 AND W.type_id = 1) OR (W.util_id != 164226 AND W.type_id = 2)) AND (`post_util_id` = 164226 OR `dest_util_id` = 164226) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

38. 0.0003

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 164226

39. 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=228 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

40. 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='nacelle' OR ssrubr_slug like '%nacelle%' OR MATCH (ssrubr_slug) AGAINST ('(+nacelle)')) AND sk.ssrubr_id='810' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

41. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='810' AND actu_niveau=0 ORDER BY actu_ordre DESC

42. 0.0017

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

43. 0

    SELECT count(*) as nbwish FROM wish

44. 0.0751

    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

44 requetes sql en 0.1885