Location remorquage à 94800 Villejuif

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='outillage-mecanique-automobile'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=227

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='94'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='94800' AND ville_nom like '%villejuif%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0006

   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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%barre%de%remorquage%' OR ssrubr_title like '%barre%de%remorquage%' OR ssrubr_slug like '%barre%de%remorquage%') AND cate_id='227' 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. 0.0003

    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='94800'

12. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>2.0936056388795 AND ville_longitude_deg<2.6397343611205 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='barre de remorquage'

14. 0.0007

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='227'AND MATCH (wish_title,wish_desc) AGAINST ('+barre de remorquage*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '94800%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=227

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='barre de remorquage' OR ssrubr_slug='barre-de-remorquage' OR (ssrubr_title like '%barre de remorquage%')) AND cate_id='227' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='barre-de-remorquage' AND cate_id='227'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94800'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>2.0936056388795 AND ville_longitude_deg<2.6397343611205 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0059

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.350339197041 AND ville_latitude_deg<49.249660802959 AND ville_longitude_deg>1.6840032105093 AND ville_longitude_deg<3.0493367894907 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0475

    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((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.36667- 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='227' AND MATCH (wish_desc) AGAINST ('(+barre +de +remorquage*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94800,94800,94270,94205,94200,94110,94230,94250,94231,94400,94238,94232,94233,94234,94235,94236,94237,94240,94239,94140,94550,94320,94220,92120,92340,94700,92220,94600,94160,92240,94150,94310,94390,92320,92170,92260,92330,94260,75005,75017,75018,75015,75019,75020,75006,75116,75000,75016,75014,75004,75003,75002,75001,75013,75007,75008,75009,75010,75011,75012,94410,92140,94300,92160,92130,94340,94000,92350,91320,92290,93170,94290,93100,91370,92360,94460,92190,91550,94380,94130,92100,93310,91200,94190,91300,94100,94210,94340,94480,94120,93230,93260,94430,91560,94500,94170,93110,94450,93400,91420,93500,94360,91270,93130,92200,92210,92110,91380,91160,92370,92800,92150,91570,94470,92310,91120,92300,93000,91230,94370,94380,93120,91260,93300,92410,93360,91430,93140,91160,93330,78140,93250,91330,91210,94880,94880,94490,92400,92600,94350,92250,91140,92380,91430,92430,92420,78220,94420,91800,93210,93200,91170,91390,91600,92270,91160,91360,92390,93450,78350,93350,91360,92500,93220,94440,94440,92700,92230,93320,93340,93160,94510,93700,93150,91160,91140,93460,91400,92000,91350,93240,78170,91860,93440,91000,91130,78000,93800,94440,91700,91400,94520,94520,77340,78530,78350,93430,91450,78800,91800,78150,77420,91620,78400,93370,77170,91440,77184,95870,93380,91700,95360,78380,78290,93390,93190,78420,77185,78150,91700,95100,95140,95880,78117,95500,91240,93270,91480,91620,77500,91190,95210,95218,91000,91310,91090,91480,91940,78430,77150,91450,91310,91310,93600) AND type_id=1 GROUP BY wish_id

22. 0.0008

    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 = 93477 AND W.type_id = 1) OR (W.util_id <> 93477 AND W.type_id = 2)) AND (M.post_util_id = 93477 OR M.dest_util_id = 93477) 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=93477 AND note_visu IN (1,3,4)

24. 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 = 305635 AND W.type_id = 1) OR (W.util_id <> 305635 AND W.type_id = 2)) AND (M.post_util_id = 305635 OR M.dest_util_id = 305635) 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=305635 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 = 320240 AND W.type_id = 1) OR (W.util_id <> 320240 AND W.type_id = 2)) AND (M.post_util_id = 320240 OR M.dest_util_id = 320240) 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=320240 AND note_visu IN (1,3,4)

28. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94800'

29. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>2.0936056388795 AND ville_longitude_deg<2.6397343611205 HAVING distance <= 20 ORDER BY distance ASC

30. 0.0059

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.350339197041 AND ville_latitude_deg<49.249660802959 AND ville_longitude_deg>1.6840032105093 AND ville_longitude_deg<3.0493367894907 HAVING distance <= 50 ORDER BY distance ASC

31. 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 (873)

32. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (93477,320240,305635)

33. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (93477,320240,305635)

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=227 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

35. 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='barre de remorquage' OR ssrubr_slug like '%barre de remorquage%' OR MATCH (ssrubr_slug) AGAINST ('(+barre +de +remorquage)')) AND sk.ssrubr_id='873' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 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 = 227 AND ss.ssrubr_id <> 873 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

37. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='873' AND actu_niveau=0 ORDER BY actu_ordre DESC

38. 0.0001

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

39. 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

40. 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 (227) ORDER BY ssrubr_order ASC

41. 0.0013

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

42. 0.0213

    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'

43. 0.0192

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

43 requetes sql en 0.1139