Location élévateur à 13140 Miramas

1. 0.0001

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

2. 0

   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='13'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='13140' AND ville_nom like '%miramas%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0015

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%elevateur%' OR ssrubr_title like '%elevateur%' OR ssrubr_slug like '%elevateur%') 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='13140'

7. 0.0009

   SELECT ville_cp, ROUND((((acos(sin((43.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.403435678816 AND ville_latitude_deg<43.763164321184 AND ville_longitude_deg>4.7516960767384 AND ville_longitude_deg<5.2483039232616 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='élévateur'

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 ('+élévateur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '13140%'

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='élévateur' OR ssrubr_slug='élévateur' OR (ssrubr_title like '%élévateur%')) 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='elevateur' AND cate_id='87'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='13140'

17. 0.001

    SELECT ville_cp, ROUND((((acos(sin((43.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.403435678816 AND ville_latitude_deg<43.763164321184 AND ville_longitude_deg>4.7516960767384 AND ville_longitude_deg<5.2483039232616 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0032

    SELECT ville_cp, ROUND((((acos(sin((43.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.133639197041 AND ville_latitude_deg<44.032960802959 AND ville_longitude_deg>4.3792348389393 AND ville_longitude_deg<5.6207651610607 HAVING distance <= 50 ORDER BY distance ASC

19. 0.1271

    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 ('(+élévateur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (13140,13140,13250,13250,13450,13118,13800,13300,13680,13430,13330,13930,13113,13920,13121,13580,13890,13310,13330,13270,13116,13980,13810,13130,13560)

20. 0.1004

    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((43.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5- 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 ('(+élévateur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (13140,13140,13250,13250,13450,13118,13800,13300,13680,13430,13330,13930,13113,13920,13121,13580,13890,13310,13330,13270,13116,13980,13810,13130,13560) AND type_id=1 GROUP BY wish_id

21. 0.0004

    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

22. 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='élévateur' OR ssrubr_slug like '%élévateur%' OR MATCH (ssrubr_slug) AGAINST ('(+élévateur)')) AND sk.ssrubr_id='759' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

23. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='759' AND actu_niveau=0 ORDER BY actu_ordre DESC

24. 0.0009

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

25. 0

    SELECT count(*) as nbwish FROM wish

26. 0.0481

    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

26 requetes sql en 0.2858