Location avec chauffeur à 62182 Hendecourt-lès-cagnicourt

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 filtre_dpt='62'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='62182' AND ville_nom like '%hendecourt%les%cagnicourt%' 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. 0.0017

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%avec%chauffeur%' OR ssrubr_title like '%avec%chauffeur%' OR ssrubr_slug like '%avec%chauffeur%') 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='62182'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.2225*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2225*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.00945- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.042635678816 AND ville_latitude_deg<50.402364321184 AND ville_longitude_deg>2.728327175946 AND ville_longitude_deg<3.290572824054 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='avec chauffeur'

14. 0.0001

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='81'AND MATCH (wish_title,wish_desc) AGAINST ('+avec chauffeur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '62182%'

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='avec chauffeur' OR ssrubr_slug='avec-chauffeur' OR (ssrubr_title like '%avec chauffeur%')) 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='avec-chauffeur' AND cate_id='81'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62182'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.2225*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2225*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.00945- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.042635678816 AND ville_latitude_deg<50.402364321184 AND ville_longitude_deg>2.728327175946 AND ville_longitude_deg<3.290572824054 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0139

    SELECT ville_cp, ROUND((((acos(sin((50.2225*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2225*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.00945- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.772839197041 AND ville_latitude_deg<50.672160802959 AND ville_longitude_deg>2.3066368794524 AND ville_longitude_deg<3.7122631205476 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0662

    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((50.2225*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2225*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.00945- 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 MATCH (wish_desc) AGAINST ('(+avec +chauffeur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (62182,62182,62182,62860,62860,62156,62860,62860,62182,62156,62860,62860,62182,62156,62860,62860,59259,62156,62156,62860,62156,62860,62156,62860,62128,62128,62490,62860,62490,62860,62128,62128,62860,62860,59151,62860,62147,62128,62490,62159,62118,62118,62128,59151,62118,62128,59151,62118,62147,59151,62128,62128,62490,62124,62118,62112,62860,59400,62147,59265,59554,59169,62118,59265,62147,59554,62147,62124,62128,62159,62124,62128,59265,59169,62117,62118,62490,62128,62112,59400,62147,62124,59169,59151,62223,62490,59265,62128,59267,59247,62159,62128,62124,62121,59267,62217,62450,62121,59552,62217,59268,59265,62450,62175,59267,62217,59234,59552,59234,62223,62580,59169,59554,59159,62124,59247,62124,59159,62580,59169,59554,59554,62121,62121,59553,59187,62490,59247,62175,62450,62147,62450,62124,59554,59500,62490,62580,62580,62217,62450,59234,59159,59400,62124,62223,62121,59161,59287,62124,62000,62175,62450,59450,59281,62124,62121,59231,62450,62121,62217,62217,59287,59182,62450,59553,59553,62124,62580,59400,62580,59252,59161,62450,62175,62223,59241,62121,62580,59400,59252,62580,62320,62320,62223,62124,62223,62450,62124,59119,62320,59252,59141,59176,62173,59295,59295,62175,62450,62450,62121,59128,62320) AND type_id=1 GROUP BY wish_id

22. 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 = 72136 AND W.type_id = 1) OR (W.util_id <> 72136 AND W.type_id = 2)) AND (M.post_util_id = 72136 OR M.dest_util_id = 72136) 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=72136 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 = 161953 AND W.type_id = 1) OR (W.util_id <> 161953 AND W.type_id = 2)) AND (M.post_util_id = 161953 OR M.dest_util_id = 161953) 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=161953 AND note_visu IN (1,3,4)

26. 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 = 195041 AND W.type_id = 1) OR (W.util_id <> 195041 AND W.type_id = 2)) AND (M.post_util_id = 195041 OR M.dest_util_id = 195041) 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=195041 AND note_visu IN (1,3,4)

28. 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 = 260044 AND W.type_id = 1) OR (W.util_id <> 260044 AND W.type_id = 2)) AND (M.post_util_id = 260044 OR M.dest_util_id = 260044) 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=260044 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 = 501812 AND W.type_id = 1) OR (W.util_id <> 501812 AND W.type_id = 2)) AND (M.post_util_id = 501812 OR M.dest_util_id = 501812) 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=501812 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='62182'

33. 0.003

    SELECT ville_cp, ROUND((((acos(sin((50.2225*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2225*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.00945- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.042635678816 AND ville_latitude_deg<50.402364321184 AND ville_longitude_deg>2.728327175946 AND ville_longitude_deg<3.290572824054 HAVING distance <= 20 ORDER BY distance ASC

34. 0.0197

    SELECT ville_cp, ROUND((((acos(sin((50.2225*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2225*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.00945- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.772839197041 AND ville_latitude_deg<50.672160802959 AND ville_longitude_deg>2.3066368794524 AND ville_longitude_deg<3.7122631205476 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 (869,978,862,868,730)

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 (260044,72136,195041,161953,501812)

37. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (260044,72136,195041,161953,501812)

38. 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=81 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

39. 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='avec chauffeur' OR ssrubr_slug like '%avec chauffeur%' OR MATCH (ssrubr_slug) AGAINST ('(+avec +chauffeur)')) AND sk.ssrubr_id='868' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

40. 0.0002

    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 <> 868 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

41. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='868' AND actu_niveau=0 ORDER BY actu_ordre DESC

42. 0.0001

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

43. 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

44. 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

45. 0.0009

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

46. 0.0252

    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'

47. 0.0176

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

47 requetes sql en 0.1581