Location robot piscine à 57535 Bronvaux

1. 0.0003

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

2. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=110

3. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='57'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='57535' AND ville_nom like '%bronvaux%' 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 '%robot%piscine%' OR ssrubr_title like '%robot%piscine%' OR ssrubr_slug like '%robot%piscine%') AND cate_id='110' 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='57535'

7. 0.0011

   SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.020135678816 AND ville_latitude_deg<49.379864321184 AND ville_longitude_deg>5.8080637847846 AND ville_longitude_deg<6.3585962152154 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='robot piscine'

9. 0.0002

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='110'AND MATCH (wish_title,wish_desc) AGAINST ('+robot piscine*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '57535%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=110

11. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='robot piscine' OR ssrubr_slug='robot-piscine' OR (ssrubr_title like '%robot piscine%')) AND cate_id='110' 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 (110) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='robot-piscine' AND cate_id='110'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='57535'

17. 0.001

    SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.020135678816 AND ville_latitude_deg<49.379864321184 AND ville_longitude_deg>5.8080637847846 AND ville_longitude_deg<6.3585962152154 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0032

    SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.750339197041 AND ville_latitude_deg<49.649660802959 AND ville_longitude_deg>5.3951585278048 AND ville_longitude_deg<6.7715014721952 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0595

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='110' AND MATCH (wish_desc) AGAINST ('(+robot +piscine*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (57535,57159,57535,57159,57140,57120,57210,57855,57860,57124,57140,57140,57210,57860,57865,57210,57280,57120,57255,57118,54240,57250,54580,57050,57140,54580,57210,57120,57120,57185,57780,57050,54310,57300,57130,57175,57640,57640,57250,57360,57525,54660,54980,57140,57160,57160,57160,57300,57000,57050,57070,54580,57365,57050,57300,54800,57130,57050,57365,57270,57160,57130,57160,57130,57070,57290,57700,57070,57130,54800,57640,54910,57270,57158,57950,54150,54800,57310,54150,57130,57365,57640,54780,57290,57130,57070,57070,57310,57310,57300,57070,54800,57700,54150,54800,57310,54150,57640,57640,57130,54150,57176,57190,57700,57117,57240,57640,54800,57640,57155,57640,54800,57130,57117,57970,57640,54150,57130,57645,57130,57240,57440,57245,54800,57650,54790,57940,54640,54150,54800,54800,57180,54150,57117,57650,57680,54800,54800,57420,57640,54800,54640,57530,57970,54750,57144,57640,54800,57680,57420,57680,57530,57245,57420,57970,57530,57940,54800,57530,57420,57100,57100,57970,57134,54150)

20. 0.0557

    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((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.08333- 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='110' AND MATCH (wish_desc) AGAINST ('(+robot +piscine*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (57535,57159,57535,57159,57140,57120,57210,57855,57860,57124,57140,57140,57210,57860,57865,57210,57280,57120,57255,57118,54240,57250,54580,57050,57140,54580,57210,57120,57120,57185,57780,57050,54310,57300,57130,57175,57640,57640,57250,57360,57525,54660,54980,57140,57160,57160,57160,57300,57000,57050,57070,54580,57365,57050,57300,54800,57130,57050,57365,57270,57160,57130,57160,57130,57070,57290,57700,57070,57130,54800,57640,54910,57270,57158,57950,54150,54800,57310,54150,57130,57365,57640,54780,57290,57130,57070,57070,57310,57310,57300,57070,54800,57700,54150,54800,57310,54150,57640,57640,57130,54150,57176,57190,57700,57117,57240,57640,54800,57640,57155,57640,54800,57130,57117,57970,57640,54150,57130,57645,57130,57240,57440,57245,54800,57650,54790,57940,54640,54150,54800,54800,57180,54150,57117,57650,57680,54800,54800,57420,57640,54800,54640,57530,57970,54750,57144,57640,54800,57680,57420,57680,57530,57245,57420,57970,57530,57940,54800,57530,57420,57100,57100,57970,57134,54150) 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='57535'

22. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.020135678816 AND ville_latitude_deg<49.379864321184 AND ville_longitude_deg>5.8080637847846 AND ville_longitude_deg<6.3585962152154 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0045

    SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.750339197041 AND ville_latitude_deg<49.649660802959 AND ville_longitude_deg>5.3951585278048 AND ville_longitude_deg<6.7715014721952 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 = 258001 AND W.type_id = 1) OR (W.util_id != 258001 AND W.type_id = 2)) AND (`post_util_id` = 258001 OR `dest_util_id` = 258001) 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=258001 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='1115' LIMIT 0,1

27. 0.0003

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 258001

28. 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=110 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

29. 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='robot piscine' OR ssrubr_slug like '%robot piscine%' OR MATCH (ssrubr_slug) AGAINST ('(+robot +piscine)')) AND sk.ssrubr_id='1115' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

30. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1115' AND actu_niveau=0 ORDER BY actu_ordre DESC

31. 0.0017

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

32. 0

    SELECT count(*) as nbwish FROM wish

33. 0.0582

    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

33 requetes sql en 0.1896