Location avec chauffeur à 59554 Sailly-lez-cambrai

1. 0.0003

   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='59'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59554' AND ville_nom like '%sailly%lez%cambrai%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0007

   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. 0.0021

   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. 0.0003

    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='59554'

12. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.2167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.036835678816 AND ville_latitude_deg<50.396564321184 AND ville_longitude_deg>2.9522413537608 AND ville_longitude_deg<3.5144186462392 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='avec chauffeur'

14. 0.0002

    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 '59554%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=81

16. 0.0003

    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='59554'

19. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((50.2167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.036835678816 AND ville_latitude_deg<50.396564321184 AND ville_longitude_deg>2.9522413537608 AND ville_longitude_deg<3.5144186462392 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0153

    SELECT ville_cp, ROUND((((acos(sin((50.2167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.767039197041 AND ville_latitude_deg<50.666360802959 AND ville_longitude_deg>2.5306023247262 AND ville_longitude_deg<3.9360576752738 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0621

    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((50.2167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.23333- 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 (59554,59554,59268,59554,59265,59161,59265,59400,59554,59161,59247,59554,59141,59247,59265,59141,59161,59554,59295,59295,62860,59554,59400,59247,59265,59161,59267,59252,59141,59111,59265,59400,59400,59252,59400,59234,59252,59111,59400,62860,59277,59267,59151,62860,59234,59281,59159,59111,62860,59234,59217,59111,59172,59400,62860,59129,59400,59151,62860,62860,59400,59241,59580,59296,59172,59159,59400,59217,59188,62147,62860,59151,59217,59169,62860,62860,59169,59293,59165,59151,59282,59217,59580,59258,62860,59188,59258,59157,59292,62860,59198,59215,59188,59156,59267,62147,59282,59157,59214,62860,59169,59127,62860,59169,62860,59258,59176,59176,59151,59259,59124,59159,59191,62147,59227,59227,59182,59287,62156,62182,59287,62490,59540,62490,59231,62182,59191,59490,59220,59266,59187,59540,59182,59490,62112,59179,62156,62860,59169,59191,59171,59294,59224,59127,62147,59121,62490,62147,59171,62490,59224,59730,62860,59271,62147,62112,59220,59225,59146,59450,59227,62156,59730,59870,59266,59255,59121,59225,59540,59167,59171,59552,59220,62156,59730,59127,59231,59552,59213,59127,59540,62147) AND type_id=1 GROUP BY wish_id

22. 1.0054

    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 = 71251 AND W.type_id = 1) OR (W.util_id <> 71251 AND W.type_id = 2)) AND (M.post_util_id = 71251 OR M.dest_util_id = 71251) 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=71251 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 = 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 <> ''

25. 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)

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. 0.0003

    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 ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59554'

31. 0.003

    SELECT ville_cp, ROUND((((acos(sin((50.2167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.036835678816 AND ville_latitude_deg<50.396564321184 AND ville_longitude_deg>2.9522413537608 AND ville_longitude_deg<3.5144186462392 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0197

    SELECT ville_cp, ROUND((((acos(sin((50.2167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.767039197041 AND ville_latitude_deg<50.666360802959 AND ville_longitude_deg>2.5306023247262 AND ville_longitude_deg<3.9360576752738 HAVING distance <= 50 ORDER BY distance ASC

33. 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 (868,978,862,869)

34. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (195041,72136,260044,71251)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (195041,72136,260044,71251)

36. 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

37. 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

38. 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 <> 868 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

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

40. 0.0001

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

41. 0.0002

    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

42. 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

43. 0.0017

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

44. 0.0345

    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'

45. 0.0315

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

45 requetes sql en 1.1868