Service tailler haies à 76250 Déville-lès-rouen

1. 0.0001

   SELECT cate_id FROM category WHERE fami_id='3' AND cate_title_slug='jardinage'

2. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=38

3. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='76'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='76250' AND ville_nom like '%deville%les%rouen%' 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 '%taille%de%haies%' OR ssrubr_title like '%taille%de%haies%' OR ssrubr_slug like '%taille%de%haies%') AND cate_id='38' 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='76250'

7. 0.0018

   SELECT ville_cp, ROUND((((acos(sin((49.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.03333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.286835678816 AND ville_latitude_deg<49.646564321184 AND ville_longitude_deg>0.75656831859782 AND ville_longitude_deg<1.3100916814022 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='taille haie; taille de haies'

9. 0.0002

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='38'AND MATCH (wish_title,wish_desc) AGAINST ('+taille haie; taille de haies*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '76250%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=38

11. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='taille haie; taille de haies' OR ssrubr_slug='taille-haie;-taille-de-haies' OR (ssrubr_title like '%taille haie; taille de haies%')) AND cate_id='38' 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='3' 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 (38) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='taille-de-haies' AND cate_id='38'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='76250'

17. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((49.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.03333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.286835678816 AND ville_latitude_deg<49.646564321184 AND ville_longitude_deg>0.75656831859782 AND ville_longitude_deg<1.3100916814022 HAVING distance <= 20 ORDER BY distance ASC

18. 0.005

    SELECT ville_cp, ROUND((((acos(sin((49.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.03333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.017039197041 AND ville_latitude_deg<49.916360802959 AND ville_longitude_deg>0.34141983009885 AND ville_longitude_deg<1.7252401699012 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0416

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='3' AND cate_id='38' AND MATCH (wish_desc) AGAINST ('(+taille +haie; +taille +de +haies*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (76250,76250,76150,76380,76960,76150,76380,76130,76140,76150,76840,76840,76000,76100,76770,76120,76420,76770,76230,76480,76300,76770,76360,76480,76240,76480,76840,76160,76650,76230,76160,76710,76710,76920,76380,76480,76160,76240,14450,76113,76800,76480,76160,76570,76480,76160,76710,76360,76160,76360,76240,76113,76570,76480,76160,76690,76520,76690,76710,76230,76530,76530,76480,76160,76570,76530,76690,76530,76480,76480,76360,76690,27310,76520,76113,76530,76480,76520,76520,76570,76350,76410,76580,76940,76520,76690,76690,76160,76480,76160,76570,76690,27310,27310,76190,76750,76520,76890,76410,76520,27310,76116,76160,76690,76410,76570,76520,76690,76116,76690,76570,76410,76750,76190,76750,27350,76520,76690,76890,27310,76410,76690,27340,27460,76520,76570,76500,76690,76500,27340,76690,76190,76190,27310,76570,76940,76116,76690,76890,76940,76116,76190,76760,27460)

20. 0.0362

    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((49.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.03333- 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='3' AND cate_id='38' AND MATCH (wish_desc) AGAINST ('(+taille +haie; +taille +de +haies*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (76250,76250,76150,76380,76960,76150,76380,76130,76140,76150,76840,76840,76000,76100,76770,76120,76420,76770,76230,76480,76300,76770,76360,76480,76240,76480,76840,76160,76650,76230,76160,76710,76710,76920,76380,76480,76160,76240,14450,76113,76800,76480,76160,76570,76480,76160,76710,76360,76160,76360,76240,76113,76570,76480,76160,76690,76520,76690,76710,76230,76530,76530,76480,76160,76570,76530,76690,76530,76480,76480,76360,76690,27310,76520,76113,76530,76480,76520,76520,76570,76350,76410,76580,76940,76520,76690,76690,76160,76480,76160,76570,76690,27310,27310,76190,76750,76520,76890,76410,76520,27310,76116,76160,76690,76410,76570,76520,76690,76116,76690,76570,76410,76750,76190,76750,27350,76520,76690,76890,27310,76410,76690,27340,27460,76520,76570,76500,76690,76500,27340,76690,76190,76190,27310,76570,76940,76116,76690,76890,76940,76116,76190,76760,27460) 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='76250'

22. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((49.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.03333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.286835678816 AND ville_latitude_deg<49.646564321184 AND ville_longitude_deg>0.75656831859782 AND ville_longitude_deg<1.3100916814022 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0051

    SELECT ville_cp, ROUND((((acos(sin((49.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.03333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.017039197041 AND ville_latitude_deg<49.916360802959 AND ville_longitude_deg>0.34141983009885 AND ville_longitude_deg<1.7252401699012 HAVING distance <= 50 ORDER BY distance ASC

24. 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 = 86654 AND W.type_id = 1) OR (W.util_id != 86654 AND W.type_id = 2)) AND (`post_util_id` = 86654 OR `dest_util_id` = 86654) 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=86654 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 = 174798 AND W.type_id = 1) OR (W.util_id != 174798 AND W.type_id = 2)) AND (`post_util_id` = 174798 OR `dest_util_id` = 174798) 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=174798 AND note_visu IN (1,3,4)

28. 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='530' LIMIT 0,1

29. 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 = 86654 AND W.type_id = 1) OR (W.util_id != 86654 AND W.type_id = 2)) AND (`post_util_id` = 86654 OR `dest_util_id` = 86654) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

30. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 86654

31. 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='530' LIMIT 0,1

32. 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 = 174798 AND W.type_id = 1) OR (W.util_id != 174798 AND W.type_id = 2)) AND (`post_util_id` = 174798 OR `dest_util_id` = 174798) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

33. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 174798

34. 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=38 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

35. 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='taille haie; taille de haies' OR ssrubr_slug like '%taille haie; taille de haies%' OR MATCH (ssrubr_slug) AGAINST ('(+taille +haie; +taille +de +haies)')) AND sk.ssrubr_id='530' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='530' AND actu_niveau=0 ORDER BY actu_ordre DESC

37. 0.0009

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

38. 0

    SELECT count(*) as nbwish FROM wish

39. 0.0466

    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

39 requetes sql en 0.1431