Location débroussailleuse à 95850 Jagny-sous-bois

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-jardinage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=88

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='95'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95850' AND ville_nom like '%jagny%sous%bois%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0005

   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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%debroussailleuse%' OR ssrubr_title like '%debroussailleuse%' OR ssrubr_slug like '%debroussailleuse%') AND cate_id='88' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 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

11. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='95850'

12. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((49.0833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.903435678816 AND ville_latitude_deg<49.263164321184 AND ville_longitude_deg>2.1753812201763 AND ville_longitude_deg<2.7246187798237 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='débroussailleuse'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='88'AND MATCH (wish_title,wish_desc) AGAINST ('+débroussailleuse*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95850%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=88

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='débroussailleuse' OR ssrubr_slug='débroussailleuse' OR (ssrubr_title like '%débroussailleuse%')) AND cate_id='88' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='debroussailleuse' AND cate_id='88'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95850'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((49.0833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.903435678816 AND ville_latitude_deg<49.263164321184 AND ville_longitude_deg>2.1753812201763 AND ville_longitude_deg<2.7246187798237 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0151

    SELECT ville_cp, ROUND((((acos(sin((49.0833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.633639197041 AND ville_latitude_deg<49.532960802959 AND ville_longitude_deg>1.7634471302414 AND ville_longitude_deg<3.1365528697586 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0589

    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((49.0833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- 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='88' AND MATCH (wish_desc) AGAINST ('(+débroussailleuse*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95850,95850,95190,95270,95270,95850,95270,95270,95380,95470,95670,95190,95270,95720,95270,95270,95720,95270,95570,95720,95380,95380,60560,95720,95190,95270,95470,60580,60260,95570,95380,60520,95270,95460,95470,95470,95440,95270,95380,95570,95500,95500,95560,60128,95560,95270,95330,60520,95350,95200,95700,95400,95350,77230,95560,95500,77990,95400,60270,60128,95590,95570,60820,95590,60520,95590,95160,77230,95500,60500,95140,60500,77990,95410,95260,95820,95560,95170,95680,60300,93420,60300,93380,95340,60460,95580,95580,95260,77230,60740,95360,93440,95840,60340,95340,95390,60340,95600,95660,95230,93600,93240,95840,93430,95880,95290,60300,77230,95320,60530,77290,93150,93700,93350,93290,60460,60530,77280,60950,60230,60300,95120,95620,95740,77230,77230,60530,93270,95210,95218,60300,95150,95550,93200,93210,93800,60330,95430,95630,95540,95760,77290,95130,60160,60300,60530,93410,92390,93450,60660,60950,77230,93120,93300,60300,60530,60300,95130,60300,60300,95340,95110,77230,95250,93190,93390,60530,92230) AND type_id=1 GROUP BY wish_id

22. 0.0003

    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 = 82130 AND W.type_id = 1) OR (W.util_id <> 82130 AND W.type_id = 2)) AND (M.post_util_id = 82130 OR M.dest_util_id = 82130) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=82130 AND note_visu IN (1,3,4)

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 = 225311 AND W.type_id = 1) OR (W.util_id <> 225311 AND W.type_id = 2)) AND (M.post_util_id = 225311 OR M.dest_util_id = 225311) 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=225311 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 = 396263 AND W.type_id = 1) OR (W.util_id <> 396263 AND W.type_id = 2)) AND (M.post_util_id = 396263 OR M.dest_util_id = 396263) 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=396263 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 = 28429 AND W.type_id = 1) OR (W.util_id <> 28429 AND W.type_id = 2)) AND (M.post_util_id = 28429 OR M.dest_util_id = 28429) 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=28429 AND note_visu IN (1,3,4)

30. 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 = 104588 AND W.type_id = 1) OR (W.util_id <> 104588 AND W.type_id = 2)) AND (M.post_util_id = 104588 OR M.dest_util_id = 104588) 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=104588 AND note_visu IN (1,3,4)

32. 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 = 154005 AND W.type_id = 1) OR (W.util_id <> 154005 AND W.type_id = 2)) AND (M.post_util_id = 154005 OR M.dest_util_id = 154005) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=154005 AND note_visu IN (1,3,4)

34. 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 = 512695 AND W.type_id = 1) OR (W.util_id <> 512695 AND W.type_id = 2)) AND (M.post_util_id = 512695 OR M.dest_util_id = 512695) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=512695 AND note_visu IN (1,3,4)

36. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95850'

37. 0.002

    SELECT ville_cp, ROUND((((acos(sin((49.0833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.903435678816 AND ville_latitude_deg<49.263164321184 AND ville_longitude_deg>2.1753812201763 AND ville_longitude_deg<2.7246187798237 HAVING distance <= 20 ORDER BY distance ASC

38. 0.0143

    SELECT ville_cp, ROUND((((acos(sin((49.0833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.633639197041 AND ville_latitude_deg<49.532960802959 AND ville_longitude_deg>1.7634471302414 AND ville_longitude_deg<3.1365528697586 HAVING distance <= 50 ORDER BY distance ASC

39. 0.0002

    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 (5,2)

40. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (104588,82130,396263,28429,154005,512695,225311)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (104588,82130,396263,28429,154005,512695,225311)

42. 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=88 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

43. 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='débroussailleuse' OR ssrubr_slug like '%débroussailleuse%' OR MATCH (ssrubr_slug) AGAINST ('(+débroussailleuse)')) AND sk.ssrubr_id='2' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 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 = 88 AND ss.ssrubr_id <> 2 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='2' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0

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

47. 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

48. 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 (88) ORDER BY ssrubr_order ASC

49. 0.0011

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

50. 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'

51. 0.0192

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

51 requetes sql en 0.1455