Location chaise haute à 62118 Fampoux

1. 0.0001

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

2. 0

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

3. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='62'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='62118' AND ville_nom like '%fampoux%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%chaise%haute%' OR ssrubr_title like '%chaise%haute%' OR ssrubr_slug like '%chaise%haute%') 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='62118'

7. 0.0017

   SELECT ville_cp, ROUND((((acos(sin((50.2976*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2976*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.89639- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.117735678816 AND ville_latitude_deg<50.477464321184 AND ville_longitude_deg>2.6148236196053 AND ville_longitude_deg<3.1779563803947 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='chaise haute'

9. 0.0002

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='228'AND MATCH (wish_title,wish_desc) AGAINST ('+chaise haute*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '62118%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=228

11. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='chaise haute' OR ssrubr_slug='chaise-haute' OR (ssrubr_title like '%chaise haute%')) 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. 0.0001

    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. 0.0002

    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='chaise-haute' AND cate_id='228'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62118'

17. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((50.2976*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2976*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.89639- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.117735678816 AND ville_latitude_deg<50.477464321184 AND ville_longitude_deg>2.6148236196053 AND ville_longitude_deg<3.1779563803947 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0051

    SELECT ville_cp, ROUND((((acos(sin((50.2976*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2976*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.89639- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.847939197041 AND ville_latitude_deg<50.747260802959 AND ville_longitude_deg>2.1924679790384 AND ville_longitude_deg<3.6003120209616 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0237

    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 ('(+chaise +haute*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (62118,62118,62118,62118,62118,62118,62223,62118,62580,62223,62490,62118,62156,62580,62128,62128,62580,62156,62580,62156,62217,62580,62223,62156,62156,62128,62490,62580,62128,62490,62580,62217,62580,62156,62000,62128,62223,62128,62490,62223,62217,62580,62128,62223,62117,62320,62580,62320,62320,62320,62182,62217,62217,62490,62490,62217,62490,62223,62156,59259,62223,62128,62128,62580,62490,62860,62112,62175,59553,62182,62680,62182,62112,62182,59151,62860,62210,62128,59552,59169,62128,62128,62000,62128,62860,62860,62420,62580,59151,62430,62110,62175,62173,59552,62217,62121,62153,62161,62161,62860,62860,62175,59500,62300,59553,59553,59151,62860,59169,62950,62128,62860,62175,62144,62161,62740,62218,62221,62121,62640,62173,59169,62121,62300,62970,59128,62175,62153,62860,62800,62860,62860,62119,62860,62161,62123,62860,62121,62123,59187,62159,62173,62143,62159,62144,62440,62710,59950,59151,62860,59450,62173,62123,62141,59151,62144,62860,59119,62159,62144,59169,62116,62124,62123,59286,62750,62121,62121,62880,62880,62880,62116,62123,59287,62880,62123,62144,62160,59169,62790,62116,59265,62121,59162,62690,62160,62590,62123,62123,59265,62121)

20. 0.0252

    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((50.2976*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2976*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.89639- 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 ('(+chaise +haute*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (62118,62118,62118,62118,62118,62118,62223,62118,62580,62223,62490,62118,62156,62580,62128,62128,62580,62156,62580,62156,62217,62580,62223,62156,62156,62128,62490,62580,62128,62490,62580,62217,62580,62156,62000,62128,62223,62128,62490,62223,62217,62580,62128,62223,62117,62320,62580,62320,62320,62320,62182,62217,62217,62490,62490,62217,62490,62223,62156,59259,62223,62128,62128,62580,62490,62860,62112,62175,59553,62182,62680,62182,62112,62182,59151,62860,62210,62128,59552,59169,62128,62128,62000,62128,62860,62860,62420,62580,59151,62430,62110,62175,62173,59552,62217,62121,62153,62161,62161,62860,62860,62175,59500,62300,59553,59553,59151,62860,59169,62950,62128,62860,62175,62144,62161,62740,62218,62221,62121,62640,62173,59169,62121,62300,62970,59128,62175,62153,62860,62800,62860,62860,62119,62860,62161,62123,62860,62121,62123,59187,62159,62173,62143,62159,62144,62440,62710,59950,59151,62860,59450,62173,62123,62141,59151,62144,62860,59119,62159,62144,59169,62116,62124,62123,59286,62750,62121,62121,62880,62880,62880,62116,62123,59287,62880,62123,62144,62160,59169,62790,62116,59265,62121,59162,62690,62160,62590,62123,62123,59265,62121) 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='62118'

22. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((50.2976*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2976*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.89639- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.117735678816 AND ville_latitude_deg<50.477464321184 AND ville_longitude_deg>2.6148236196053 AND ville_longitude_deg<3.1779563803947 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0051

    SELECT ville_cp, ROUND((((acos(sin((50.2976*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2976*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.89639- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.847939197041 AND ville_latitude_deg<50.747260802959 AND ville_longitude_deg>2.1924679790384 AND ville_longitude_deg<3.6003120209616 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 = 248307 AND W.type_id = 1) OR (W.util_id != 248307 AND W.type_id = 2)) AND (`post_util_id` = 248307 OR `dest_util_id` = 248307) 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=248307 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 = 291007 AND W.type_id = 1) OR (W.util_id != 291007 AND W.type_id = 2)) AND (`post_util_id` = 291007 OR `dest_util_id` = 291007) 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=291007 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 = 315657 AND W.type_id = 1) OR (W.util_id != 315657 AND W.type_id = 2)) AND (`post_util_id` = 315657 OR `dest_util_id` = 315657) 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=315657 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='802' LIMIT 0,1

31. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 315657

32. 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='802' LIMIT 0,1

33. 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 = 291007 AND W.type_id = 1) OR (W.util_id != 291007 AND W.type_id = 2)) AND (`post_util_id` = 291007 OR `dest_util_id` = 291007) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

34. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 291007

35. 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='802' LIMIT 0,1

36. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 248307

37. 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

38. 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='chaise haute' OR ssrubr_slug like '%chaise haute%' OR MATCH (ssrubr_slug) AGAINST ('(+chaise +haute)')) AND sk.ssrubr_id='802' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='802' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0.0008

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

41. 0

    SELECT count(*) as nbwish FROM wish

42. 0.0456

    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

42 requetes sql en 0.1136