Location sans permis à 13831 Bouches-du-rhône

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='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('13' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='13831' AND ville_nom like '%roquefort%la%bedoule%' 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. 0.0022

   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='13831'

12. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((45.6266*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.6266*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((8.1895- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.446735678816 AND ville_latitude_deg<45.806464321184 AND ville_longitude_deg>7.9323049506001 AND ville_longitude_deg<8.4466950493999 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. 0.0001

    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 '13831%'

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='13831'

19. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((45.6266*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.6266*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((8.1895- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.446735678816 AND ville_latitude_deg<45.806464321184 AND ville_longitude_deg>7.9323049506001 AND ville_longitude_deg<8.4466950493999 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0059

    SELECT ville_cp, ROUND((((acos(sin((45.6266*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.6266*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((8.1895- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.176939197041 AND ville_latitude_deg<46.076260802959 AND ville_longitude_deg>7.5465068319198 AND ville_longitude_deg<8.8324931680802 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0063

    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((45.6266*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.6266*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((8.1895- 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 (13831,13831,13866,13835,13823,13835,13825,13853,13865,13835,13835,13835,13847,13835,13866,13847,13841,13853,13835,13835,13835,13822,13867,13823,13854,13833,13867,13844,13824,13853,13836,13862,13867,13835,13863,13843,13868,13868,13844,13821,13821,13854,13060,13855,13864,13060,13841,13060,13861,13836,13836,13848,13821,13825,13864,13843,13845,13010,13856,13856,13045,13836,13900,13811,13811,13037,13816,13816,13818,13037,13878,13037,13851,13899,13011,13900,13011,13900,13900,13900,13900,13894,13871,28075,13011,13812,13045,13040,13874,13812,13875,13812,13871,28077,13900,13876,13873,13814,13874,13812,28078,13018,13897,13898,13812,13017,13877,13900,13017,28010,13035,13024,13891,13895,13040,13815,13882,13872,13018,13817,13020,13030,13888,13028,28010,13020,13895,13895,13888,13888,28074,13812,13882,13030,13895,13020,13885,28014,13027,28047,13812,13019,13882,28070) 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 (309784)

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 = 309784 AND W.type_id = 1) OR (W.util_id <> 309784 AND W.type_id = 2)) AND (M.post_util_id = 309784 OR M.dest_util_id = 309784) 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=309784 AND note_visu IN (1,3,4)

25. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='13831'

26. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((45.6266*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.6266*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((8.1895- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.446735678816 AND ville_latitude_deg<45.806464321184 AND ville_longitude_deg>7.9323049506001 AND ville_longitude_deg<8.4466950493999 HAVING distance <= 20 ORDER BY distance ASC

27. 0.0062

    SELECT ville_cp, ROUND((((acos(sin((45.6266*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.6266*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((8.1895- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.176939197041 AND ville_latitude_deg<46.076260802959 AND ville_longitude_deg>7.5465068319198 AND ville_longitude_deg<8.8324931680802 HAVING distance <= 50 ORDER BY distance ASC

28. 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)

29. 0.0001

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (309784)

30. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (309784)

31. 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

32. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1094' AND actu_niveau=0 ORDER BY actu_ordre DESC

33. 0.0001

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

34. 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

35. 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

36. 0.0011

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

37. 0.0244

    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'

38. 0.0173

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

38 requetes sql en 0.0744