Location veste à 59161 Escaudoeuvres

1. 0.0002

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='vetement'

2. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=91

3. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='59'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59161' AND ville_nom like '%escaudoeuvres%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%veste%' OR ssrubr_title like '%veste%' OR ssrubr_slug like '%veste%') AND cate_id='91' ORDER BY ssrubr_id LIMIT 0,1

6. 0.0001

   SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='59161'

7. 0.0015

   SELECT ville_cp, ROUND((((acos(sin((50.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.020135678816 AND ville_latitude_deg<50.379864321184 AND ville_longitude_deg>3.0190096998235 AND ville_longitude_deg<3.5809903001765 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='veste'

9. 0.0002

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='91'AND MATCH (wish_title,wish_desc) AGAINST ('+veste*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59161%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=91

11. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='veste' OR ssrubr_slug='veste' OR (ssrubr_title like '%veste%')) AND cate_id='91' ORDER BY ssrubr_id LIMIT 0,1

12. 0.0001

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

13. 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

14. 0.0001

    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 (91) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='veste' AND cate_id='91'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59161'

17. 0.0015

    SELECT ville_cp, ROUND((((acos(sin((50.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.020135678816 AND ville_latitude_deg<50.379864321184 AND ville_longitude_deg>3.0190096998235 AND ville_longitude_deg<3.5809903001765 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0046

    SELECT ville_cp, ROUND((((acos(sin((50.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.750339197041 AND ville_latitude_deg<50.649660802959 AND ville_longitude_deg>2.5975181920031 AND ville_longitude_deg<4.0024818079969 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0059

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='91' AND MATCH (wish_desc) AGAINST ('(+veste*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59161,59161,59161,59141,59161,59400,59277,59161,59400,59141,59141,59554,59554,59217,59554,59295,59295,59400,59129,59400,59554,59268,59400,59265,59217,59247,59188,59265,59400,59111,59111,59400,59217,59252,59267,59296,59217,59111,59292,59188,59400,59157,59188,59247,59214,59111,59554,59247,59554,59157,59281,59252,59265,59252,59198,59400,62860,59159,59265,59282,59241,59267,59172,59540,59127,59227,59227,59172,59258,59234,59258,59191,59293,59265,59540,59159,59191,59282,59234,59271,59294,59730,59580,59156,62860,59730,59258,59191,59234,59225,59151,59540,62860,59400,59730,62860,62860,59225,59127,59215,62147,59227,59224,59540,59124,59580,59151,59224,62860,59165,59220,59267,62860,59213,59121,59169,59980,59266,59730,62860,59730,59127,59121,59980,59151,59220,59127,59213,59360,59233,59169,59159,59127,59213,62860,62860,59213,62147,59231,59220,59176,62860,59151,59269,62147,59255,59176,59266,59213,59213,62860,59730,59169,59980,59980,59125,59980,59142,59179,59490,59171,62860,59238,59171,02420,59490,62860,59171,59182,59195,59287,59169,59266,62860,59195,59287,59231,59135,59151)

20. 0.0128

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((50.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.3- 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='91' AND MATCH (wish_desc) AGAINST ('(+veste*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59161,59161,59161,59141,59161,59400,59277,59161,59400,59141,59141,59554,59554,59217,59554,59295,59295,59400,59129,59400,59554,59268,59400,59265,59217,59247,59188,59265,59400,59111,59111,59400,59217,59252,59267,59296,59217,59111,59292,59188,59400,59157,59188,59247,59214,59111,59554,59247,59554,59157,59281,59252,59265,59252,59198,59400,62860,59159,59265,59282,59241,59267,59172,59540,59127,59227,59227,59172,59258,59234,59258,59191,59293,59265,59540,59159,59191,59282,59234,59271,59294,59730,59580,59156,62860,59730,59258,59191,59234,59225,59151,59540,62860,59400,59730,62860,62860,59225,59127,59215,62147,59227,59224,59540,59124,59580,59151,59224,62860,59165,59220,59267,62860,59213,59121,59169,59980,59266,59730,62860,59730,59127,59121,59980,59151,59220,59127,59213,59360,59233,59169,59159,59127,59213,62860,62860,59213,62147,59231,59220,59176,62860,59151,59269,62147,59255,59176,59266,59213,59213,62860,59730,59169,59980,59980,59125,59980,59142,59179,59490,59171,62860,59238,59171,02420,59490,62860,59171,59182,59195,59287,59169,59266,62860,59195,59287,59231,59135,59151) AND type_id=1 GROUP BY wish_id

21. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59161'

22. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((50.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.020135678816 AND ville_latitude_deg<50.379864321184 AND ville_longitude_deg>3.0190096998235 AND ville_longitude_deg<3.5809903001765 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0046

    SELECT ville_cp, ROUND((((acos(sin((50.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.750339197041 AND ville_latitude_deg<50.649660802959 AND ville_longitude_deg>2.5975181920031 AND ville_longitude_deg<4.0024818079969 HAVING distance <= 50 ORDER BY distance ASC

24. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 386974 AND W.type_id = 1) OR (W.util_id != 386974 AND W.type_id = 2)) AND (`post_util_id` = 386974 OR `dest_util_id` = 386974) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=386974 AND note_visu IN (1,3,4)

26. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo 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='635' LIMIT 0,1

27. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 386974 AND W.type_id = 1) OR (W.util_id != 386974 AND W.type_id = 2)) AND (`post_util_id` = 386974 OR `dest_util_id` = 386974) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

28. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 386974

29. 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=91 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

30. 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='veste' OR ssrubr_slug like '%veste%' OR MATCH (ssrubr_slug) AGAINST ('(+veste)')) AND sk.ssrubr_id='635' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

31. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='635' AND actu_niveau=0 ORDER BY actu_ordre DESC

32. 0.0008

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

33. 0

    SELECT count(*) as nbwish FROM wish

34. 0.0453

    SELECT note.*, post.util_prenom as postp, post.util_nom as postn, dest.util_prenom as destp, dest.util_nom as destn, w.wish_id, w.wish_desc, w.fami_id FROM note, util_info dest, util_info post, wish w WHERE note.wish_id=w.wish_id AND note.post_util_id=post.util_id AND note.dest_util_id=dest.util_id AND note_visu IN (1,2,3,4) AND post_util_id<>'7' ORDER BY note_date DESC, note_hour DESC

34 requetes sql en 0.0812