Location marteau piqur à 76260 Eu

1. 0.0002

   SELECT cate_title_slug FROM category WHERE fami_id IN (3,5) AND cate_title_slug<>'' AND cate_title_slug IS NOT NULL

2. 0.0001

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

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=87

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('76' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='76260' AND ville_nom like '%eu%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   SELECT DISTINCT ssrubr_slug FROM ssrubr WHERE ssrubr_visu=1 AND fami_id IN (3,5) AND ssrubr_slug IS NOT NULL AND ssrubr_slug<>''

7. 0.0025

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%marteau%piqur%' OR ssrubr_title like '%marteau%piqur%' OR ssrubr_slug like '%marteau%piqur%') AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SELECT cate_title_form, cate_title FROM category WHERE cate_title='marteau%piqur' OR cate_title_aff='marteau%piqur' LIMIT 0,1

9. 0.0001

   SHOW TABLES LIKE 'pays'

10. 0.0001

    SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

11. 0.0002

    SELECT pays_code, pays_nom, pays_actif, pays_NDD, pays_drapeau, pays_lang, pays_tel, pays_nb_annonces, pays_tel_masque, pays_tel_max, pays_tel_fmt_paires, pays_tel_mode FROM pays ORDER BY pays_nom ASC

12. 0.0002

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='76260'

13. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((49.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.803435678816 AND ville_latitude_deg<50.163164321184 AND ville_longitude_deg>1.2536074829825 AND ville_longitude_deg<1.8130525170175 HAVING distance <= 20 ORDER BY distance ASC

14. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='marteau piqur'

15. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87' AND wish_visu IN (1,6,10) AND wish_cp like '76260%'

16. 0.0001

    SELECT * FROM texte WHERE cate_id=87

17. 0.0004

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='marteau piqur' OR ssrubr_slug='marteau-piqur' OR (ssrubr_title like '%marteau piqur%')) AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

18. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='marteau-piqueur' AND cate_id='87'

19. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='76260'

20. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((49.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.803435678816 AND ville_latitude_deg<50.163164321184 AND ville_longitude_deg>1.2536074829825 AND ville_longitude_deg<1.8130525170175 HAVING distance <= 20 ORDER BY distance ASC

21. 0.0149

    SELECT ville_cp, ROUND((((acos(sin((49.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.533639197041 AND ville_latitude_deg<50.432960802959 AND ville_longitude_deg>0.83401767723116 AND ville_longitude_deg<2.2326423227688 HAVING distance <= 50 ORDER BY distance ASC

22. 0.0593

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ui.util_verify, ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((49.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.53333- 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 wish_visu IN (1,6,10) AND wish_cp IN (76260,76260,80220,76340,76340,76260,80770,80220,76117,76340,80570,80220,76260,80220,76260,76260,76340,76260,80220,80220,80570,76660,80520,80220,76260,80210,76260,80460,80220,76340,76260,80520,76340,80520,76260,80390,76260,80140,76260,80210,80140,76260,80130,80530,80140,80530,80530,76340,80880,80940,76260,80140,80140,80140,80210,76260,76630,76340,80140,76660,80210,80140,80210,80130,76660,76260,76260,76340,76660,76340,80390,80210,80350,80140,80210,80460,80140,80140,76630,76630,80230,76340,80960,80460,80210,76630,76470,80140,76630,80140,80210,76910,76910,76630,76660,80870,76340,80140,80140,76340,76630,80140,80230,80140,76630,76340,76660,80140,80140,80870,80140,80140,80140,80140,76630,76340,76340,80820,80140,76910,80132,80140,80132,76340,80140,80870,76660,76630,76660,76630,80430,76630,76340,80140,76630,80210,76340,76660,76270,80140,76630,80140,80230,80132) AND type_id=1 GROUP BY wish_id

23. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (41461,177147,208514,401744)

24. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 41461 AND W.type_id = 1) OR (W.util_id <> 41461 AND W.type_id = 2)) AND (M.post_util_id = 41461 OR M.dest_util_id = 41461) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=41461 AND note_visu IN (1,3,4)

26. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 177147 AND W.type_id = 1) OR (W.util_id <> 177147 AND W.type_id = 2)) AND (M.post_util_id = 177147 OR M.dest_util_id = 177147) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=177147 AND note_visu IN (1,3,4)

28. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 208514 AND W.type_id = 1) OR (W.util_id <> 208514 AND W.type_id = 2)) AND (M.post_util_id = 208514 OR M.dest_util_id = 208514) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=208514 AND note_visu IN (1,3,4)

30. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 401744 AND W.type_id = 1) OR (W.util_id <> 401744 AND W.type_id = 2)) AND (M.post_util_id = 401744 OR M.dest_util_id = 401744) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=401744 AND note_visu IN (1,3,4)

32. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='76260'

33. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((49.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.803435678816 AND ville_latitude_deg<50.163164321184 AND ville_longitude_deg>1.2536074829825 AND ville_longitude_deg<1.8130525170175 HAVING distance <= 20 ORDER BY distance ASC

34. 0.0142

    SELECT ville_cp, ROUND((((acos(sin((49.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.533639197041 AND ville_latitude_deg<50.432960802959 AND ville_longitude_deg>0.83401767723116 AND ville_longitude_deg<2.2326423227688 HAVING distance <= 50 ORDER BY distance ASC

35. 0.0001

    SELECT ssr.ssrubr_id, ssr.ssrubr_slug, ssr.ssrubr_mail, ssr.ssrubr_mail_bis, ssr.ssrubr_keywords, ssr.ssrubr_bt2, ssr.ssrubr_photo, c.cate_title_slug, f.fami_url 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 IN (58,1157,57,59,71)

36. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (177147,401744,41461,208514)

37. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (177147,401744,41461,208514)

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

39. 0.0001

    SELECT ss.ssrubr_id, ss.ssrubr_slug, ss.ssrubr_title, ss.ssrubr_keywords, ss.ssrubr_mail, c.cate_title_slug FROM ssrubr ss INNER JOIN category c ON ss.cate_id = c.cate_id WHERE ss.ssrubr_slug = 'marteau-piqur' AND ss.cate_id = 87 LIMIT 1

40. 0.0003

    SELECT ss.ssrubr_id, ss.ssrubr_slug, ss.ssrubr_title, ss.ssrubr_keywords, ss.ssrubr_mail, c.cate_title_slug FROM ssrubr ss INNER JOIN category c ON ss.cate_id = c.cate_id WHERE ss.ssrubr_visu = 1 AND ss.fami_id = 5 AND ss.cate_id = 87 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

41. 0.0001

    SELECT ss.ssrubr_id, ss.ssrubr_slug, ss.ssrubr_title, ss.ssrubr_keywords, ss.ssrubr_mail, c.cate_title_slug FROM ssrubr ss INNER JOIN category c ON ss.cate_id = c.cate_id WHERE ss.ssrubr_slug = 'marteau-piqur' AND ss.cate_id = 87 LIMIT 1

42. 0.0001

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

43. 0

    SELECT fami_id as id, fami_title as title, fami_tutotitle, fami_tutodesc, fami_buttontitle, fami_url as slug FROM `family`

44. 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

45. 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

46. 0.0009

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

47. 0.0237

    SELECT COUNT(*) AS nbavis FROM note n INNER JOIN util_info dest ON n.dest_util_id=dest.util_id INNER JOIN util_info post ON n.post_util_id=post.util_id INNER JOIN wish w ON n.wish_id=w.wish_id WHERE n.note_visu IN (1,2,3,4) AND n.post_util_id<>'7'

48. 0.0182

    SELECT count(*) as nbwish FROM wish WHERE wish_visu IN (1,6,10)

48 requetes sql en 0.1457