Location nacelle à 34400 Lunel-viel

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='34'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='34400' AND ville_nom like '%lunel%viel%' 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 '%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='34400'

7. 0.0014

   SELECT ville_cp, ROUND((((acos(sin((43.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.536835678816 AND ville_latitude_deg<43.896564321184 AND ville_longitude_deg>3.8678139658454 AND ville_longitude_deg<4.3655260341546 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='nacelle'

9. 0.0005

   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 '34400%'

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='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. 0.0001

    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='nacelle' AND cate_id='228'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='34400'

17. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((43.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.536835678816 AND ville_latitude_deg<43.896564321184 AND ville_longitude_deg>3.8678139658454 AND ville_longitude_deg<4.3655260341546 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0039

    SELECT ville_cp, ROUND((((acos(sin((43.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.267039197041 AND ville_latitude_deg<44.166360802959 AND ville_longitude_deg>3.4945245498044 AND ville_longitude_deg<4.7388154501956 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0352

    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 (34400,34400,34400,34400,34400,34400,34400,30660,30250,34160,34400,30250,30670,34160,30111,34130,30121,34160,34160,30250,34400,30250,30470,34590,30250,34160,30310,34130,34160,30420,34670,30250,34400,34160,30920,34160,30250,34160,34670,34130,34160,30250,30600,34160,30114,30740,34160,30220,34130,30114,34160,34160,30620,30250,30870,30260,30980,30600,30250,34130,30870,34160,30980,34740,30620,34160,30260,30250,30730,34130,30260,30640,34820,30820,30540,30620,34920,34820,30260,34280,30260,30220,34270,30730,34830,34270,30260,30510,34820,30260,34730,30730,34170,34270)

20. 0.0318

    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((43.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.11667- 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 (34400,34400,34400,34400,34400,34400,34400,30660,30250,34160,34400,30250,30670,34160,30111,34130,30121,34160,34160,30250,34400,30250,30470,34590,30250,34160,30310,34130,34160,30420,34670,30250,34400,34160,30920,34160,30250,34160,34670,34130,34160,30250,30600,34160,30114,30740,34160,30220,34130,30114,34160,34160,30620,30250,30870,30260,30980,30600,30250,34130,30870,34160,30980,34740,30620,34160,30260,30250,30730,34130,30260,30640,34820,30820,30540,30620,34920,34820,30260,34280,30260,30220,34270,30730,34830,34270,30260,30510,34820,30260,34730,30730,34170,34270) 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='34400'

22. 0.001

    SELECT ville_cp, ROUND((((acos(sin((43.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.536835678816 AND ville_latitude_deg<43.896564321184 AND ville_longitude_deg>3.8678139658454 AND ville_longitude_deg<4.3655260341546 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((43.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.267039197041 AND ville_latitude_deg<44.166360802959 AND ville_longitude_deg>3.4945245498044 AND ville_longitude_deg<4.7388154501956 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 = 458575 AND W.type_id = 1) OR (W.util_id != 458575 AND W.type_id = 2)) AND (`post_util_id` = 458575 OR `dest_util_id` = 458575) 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=458575 AND note_visu IN (1,3,4)

26. 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

27. 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 = 458575 AND W.type_id = 1) OR (W.util_id != 458575 AND W.type_id = 2)) AND (`post_util_id` = 458575 OR `dest_util_id` = 458575) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

28. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 458575

29. 0.0002

    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

30. 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

31. 0.0001

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

32. 0.0009

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

33. 0

    SELECT count(*) as nbwish FROM wish

34. 0.0583

    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

34 requetes sql en 0.1401