Location marteau piqueur à 09210 Lézat-sur-lèze

1. 0.0001

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

2. 0.0001

   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='09'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='09210' AND ville_nom like '%lezat%sur%leze%' 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 '%marteau%piqueur%' OR ssrubr_title like '%marteau%piqueur%' OR ssrubr_slug like '%marteau%piqueur%') 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='09210'

7. 0.0015

   SELECT ville_cp, ROUND((((acos(sin((43.25*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.25*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.4- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.070135678816 AND ville_latitude_deg<43.429864321184 AND ville_longitude_deg>1.1530590536397 AND ville_longitude_deg<1.6469409463603 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='marteau piqueur'

9. 0.0002

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+marteau piqueur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '09210%'

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='marteau piqueur' OR ssrubr_slug='marteau-piqueur' OR (ssrubr_title like '%marteau piqueur%')) 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. 0.0002

    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. 0.0003

    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='marteau-piqueur' AND cate_id='87'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='09210'

17. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((43.25*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.25*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.4- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.070135678816 AND ville_latitude_deg<43.429864321184 AND ville_longitude_deg>1.1530590536397 AND ville_longitude_deg<1.6469409463603 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0058

    SELECT ville_cp, ROUND((((acos(sin((43.25*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.25*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.4- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>42.800339197041 AND ville_latitude_deg<43.699660802959 AND ville_longitude_deg>0.78264231057539 AND ville_longitude_deg<2.0173576894246 HAVING distance <= 50 ORDER BY distance ASC

19. 0.1674

    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 ('(+marteau +piqueur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (09210,09210,09130,31310,31310,31550,09210,31190,31550,09130,09130,31310,09130,09700,31190,31190,31190,09700,09700,31310,09130,31190,09700,31190,09700,31410,31310,31310,09700,31410,31310,09700,31310,09350,09130,31190,31390,09350,09100,09130,31190,09350,31190,31550,09350,09350,09130,31310,09100,09350,31390,09100,09130,09700,31870,09100,31410,09350,31390,31410,31410,09350,31310,31190,09100,09350,31190,31310,31190,09350,09130,31390,31410,09100,31550,09700,31310,31190,31410,09100,31870,09100,09290,31600,09130,31220,31310,31410,09100,09350,31560,31390,31410,31560,31390)

20. 0.1178

    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((43.25*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.25*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.4- 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 ('(+marteau +piqueur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (09210,09210,09130,31310,31310,31550,09210,31190,31550,09130,09130,31310,09130,09700,31190,31190,31190,09700,09700,31310,09130,31190,09700,31190,09700,31410,31310,31310,09700,31410,31310,09700,31310,09350,09130,31190,31390,09350,09100,09130,31190,09350,31190,31550,09350,09350,09130,31310,09100,09350,31390,09100,09130,09700,31870,09100,31410,09350,31390,31410,31410,09350,31310,31190,09100,09350,31190,31310,31190,09350,09130,31390,31410,09100,31550,09700,31310,31190,31410,09100,31870,09100,09290,31600,09130,31220,31310,31410,09100,09350,31560,31390,31410,31560,31390) 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='09210'

22. 0.0011

    SELECT ville_cp, ROUND((((acos(sin((43.25*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.25*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.4- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.070135678816 AND ville_latitude_deg<43.429864321184 AND ville_longitude_deg>1.1530590536397 AND ville_longitude_deg<1.6469409463603 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0042

    SELECT ville_cp, ROUND((((acos(sin((43.25*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.25*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.4- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>42.800339197041 AND ville_latitude_deg<43.699660802959 AND ville_longitude_deg>0.78264231057539 AND ville_longitude_deg<2.0173576894246 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 = 40075 AND W.type_id = 1) OR (W.util_id != 40075 AND W.type_id = 2)) AND (`post_util_id` = 40075 OR `dest_util_id` = 40075) 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=40075 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 = 40075 AND W.type_id = 1) OR (W.util_id != 40075 AND W.type_id = 2)) AND (`post_util_id` = 40075 OR `dest_util_id` = 40075) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

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 = 280463 AND W.type_id = 1) OR (W.util_id != 280463 AND W.type_id = 2)) AND (`post_util_id` = 280463 OR `dest_util_id` = 280463) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=280463 AND note_visu IN (1,3,4)

29. 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='58' LIMIT 0,1

30. 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 = 40075 AND W.type_id = 1) OR (W.util_id != 40075 AND W.type_id = 2)) AND (`post_util_id` = 40075 OR `dest_util_id` = 40075) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

31. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 40075

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='58' 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 = 40075 AND W.type_id = 1) OR (W.util_id != 40075 AND W.type_id = 2)) AND (`post_util_id` = 40075 OR `dest_util_id` = 40075) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

34. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 40075

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='58' LIMIT 0,1

36. 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 = 280463 AND W.type_id = 1) OR (W.util_id != 280463 AND W.type_id = 2)) AND (`post_util_id` = 280463 OR `dest_util_id` = 280463) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

37. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 280463

38. 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

39. 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='marteau piqueur' OR ssrubr_slug like '%marteau piqueur%' OR MATCH (ssrubr_slug) AGAINST ('(+marteau +piqueur)')) AND sk.ssrubr_id='58' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

40. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='58' AND actu_niveau=0 ORDER BY actu_ordre DESC

41. 0.001

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

42. 0

    SELECT count(*) as nbwish FROM wish

43. 0.0548

    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

43 requetes sql en 0.3599