Location sans permis à 95600 Eaubonne

1. 0.0001

   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='voiture'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=81

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('95' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95600' AND ville_nom like '%eaubonne%' 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. 0.0019

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%voiture%sans%permis%' OR ssrubr_title like '%voiture%sans%permis%' OR ssrubr_slug like '%voiture%sans%permis%') AND cate_id='81' 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='95600'

12. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>2.009170802952 AND ville_longitude_deg<2.557489197048 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='voiture sans permis; sans permis; vsp'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='81' AND ssrubr_id='1094' AND wish_visu IN (1,6,10) AND wish_cp like '95600%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=81

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='voiture sans permis; sans permis; vsp' OR ssrubr_slug='voiture-sans-permis;-sans-permis;-vsp' OR (ssrubr_title like '%voiture sans permis; sans permis; vsp%')) AND cate_id='81' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='voiture-sans-permis' AND cate_id='81'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95600'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>2.009170802952 AND ville_longitude_deg<2.557489197048 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0149

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.550339197041 AND ville_latitude_deg<49.449660802959 AND ville_longitude_deg>1.5979260970883 AND ville_longitude_deg<2.9687339029117 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0075

    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*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28333- 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='81' AND ssrubr_id='1094' AND wish_visu IN (1,6,10) AND wish_cp IN (95600,95600,95580,95580,95680,95120,95390,95230,95320,95130,95160,95210,95218,95130,95170,95110,95880,95330,95350,95410,95570,95560,93800,95100,95840,95350,95150,95550,95360,93430,95250,95240,95570,95460,93380,95400,95200,95740,95570,92230,95560,95440,95370,95560,95530,95840,92390,93450,95220,95480,95870,78500,93240,93210,93200,95590,92270,92700,95560,95540,92600,95400,95720,95720,95140,95630,95430,95570,78800,95720,92300,92110,93440,78600,95720,95430,92250,95500,92400,93400,95270,93120,93300,78420,95270,93350,95500,95760,92000,95590,92200,95850,95190,95310,95500,78600,95270,78360,95290,95190,78700,95610,95620,93500,95190,93700,93150,92500,95300,95500,95260,95260,95590,95660,95270,92800,92150,95300,95850,95270,93310,95300,95270,78780,95000,78570,95270,75020,75019,75018,75017,75016,75116,75014,75013,75006,75001,75000,75002,75003,75004,75005,75015,75007,75008,75009,75010,75011,75012,95270,78400,95000,95380,78260,95380,95270,95270,78110,93000,95690,95340,95270,93230,93260,95700,95270,95300,78230,93140,95520,95690,93170,78560,93600,92210,95650,95670,95470,78570,95280,78100,93100,78290,78380,95340,92170,78300,95490,93420,93130,95820,92100,60230,95690,92380,95380,78955,95810,95340,60820,78430,95690,78170,78750,95650,93270,95380,60260,94300) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (87233,257215,293110,398421,410810,432784,486380)

23. 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 = 87233 AND W.type_id = 1) OR (W.util_id <> 87233 AND W.type_id = 2)) AND (M.post_util_id = 87233 OR M.dest_util_id = 87233) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=87233 AND note_visu IN (1,3,4)

25. 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 = 257215 AND W.type_id = 1) OR (W.util_id <> 257215 AND W.type_id = 2)) AND (M.post_util_id = 257215 OR M.dest_util_id = 257215) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=257215 AND note_visu IN (1,3,4)

27. 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 = 293110 AND W.type_id = 1) OR (W.util_id <> 293110 AND W.type_id = 2)) AND (M.post_util_id = 293110 OR M.dest_util_id = 293110) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=293110 AND note_visu IN (1,3,4)

29. 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 = 398421 AND W.type_id = 1) OR (W.util_id <> 398421 AND W.type_id = 2)) AND (M.post_util_id = 398421 OR M.dest_util_id = 398421) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

30. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=398421 AND note_visu IN (1,3,4)

31. 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 = 410810 AND W.type_id = 1) OR (W.util_id <> 410810 AND W.type_id = 2)) AND (M.post_util_id = 410810 OR M.dest_util_id = 410810) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

32. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=410810 AND note_visu IN (1,3,4)

33. 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 = 432784 AND W.type_id = 1) OR (W.util_id <> 432784 AND W.type_id = 2)) AND (M.post_util_id = 432784 OR M.dest_util_id = 432784) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

34. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=432784 AND note_visu IN (1,3,4)

35. 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 = 486380 AND W.type_id = 1) OR (W.util_id <> 486380 AND W.type_id = 2)) AND (M.post_util_id = 486380 OR M.dest_util_id = 486380) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=486380 AND note_visu IN (1,3,4)

37. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95600'

38. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>2.009170802952 AND ville_longitude_deg<2.557489197048 HAVING distance <= 20 ORDER BY distance ASC

39. 0.0148

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.28333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.550339197041 AND ville_latitude_deg<49.449660802959 AND ville_longitude_deg>1.5979260970883 AND ville_longitude_deg<2.9687339029117 HAVING distance <= 50 ORDER BY distance ASC

40. 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 (1094)

41. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (257215,410810,398421,432784,486380,293110,87233)

42. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (257215,410810,398421,432784,486380,293110,87233)

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='voiture sans permis; sans permis; vsp' OR ssrubr_slug like '%voiture sans permis; sans permis; vsp%' OR MATCH (ssrubr_slug) AGAINST ('(+voiture +sans +permis; +sans +permis; +vsp)')) AND sk.ssrubr_id='1094' 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 = 81 AND ss.ssrubr_id <> 1094 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1094' 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 (81) ORDER BY ssrubr_order ASC

49. 0.0016

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

50. 0.0279

    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. 0.0247

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

51 requetes sql en 0.1059