Location frigo à 59194 Râches

1. 0.0001

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

2. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=207

3. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='59'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59194' AND ville_nom like '%raches%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0015

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%refrigerateur%' OR ssrubr_title like '%refrigerateur%' OR ssrubr_slug like '%refrigerateur%') AND cate_id='207' 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='59194'

7. 0.0015

   SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.220135678816 AND ville_latitude_deg<50.579864321184 AND ville_longitude_deg>2.867825780804 AND ville_longitude_deg<3.432174219196 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='réfrigérateur'

9. 0.0002

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='207'AND MATCH (wish_title,wish_desc) AGAINST ('+réfrigérateur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59194%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=207

11. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='réfrigérateur' OR ssrubr_slug='réfrigérateur' OR (ssrubr_title like '%réfrigérateur%')) AND cate_id='207' 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. 0.0003

    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 (207) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='refrigerateur' AND cate_id='207'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59194'

17. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.220135678816 AND ville_latitude_deg<50.579864321184 AND ville_longitude_deg>2.867825780804 AND ville_longitude_deg<3.432174219196 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0046

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.950339197041 AND ville_latitude_deg<50.849660802959 AND ville_longitude_deg>2.4445583689314 AND ville_longitude_deg<3.8554416310686 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0348

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='207' AND MATCH (wish_desc) AGAINST ('(+réfrigérateur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59194,59194,59194,59167,59119,59148,59450,59182,59286,59146,59287,59182,59287,59870,59283,59187,59176,59310,59500,62790,59128,59283,59176,59950,59553,59553,59169,59310,59552,59870,59490,59870,59552,62141,59235,59169,59870,59246,59165,59169,59310,62970,59310,59169,59162,59553,59490,59580,62112,59151,59179,59710,59169,59234,59239,59580,62112,59310,59870,62950,62117,59551,59234,62119,62490,59171,59870,59261,62490,59151,59215,59242,59870,59310,59239,59710,62490,59310,62820,59151,59234,59178,59171,59151,62590,62490,59310,59230,59178,62490,59551,59252,59710,59242,59151,59265,59230,62860,59172,59252,62490,62110,59242,59710,59247,62640,59171,62220,59690,59310,59124,59310,59133,62710,59178,62320,62320,59265,59273,62490,62860,59226,59156,62740,59252,59259,59830,59247,59172,62118,62490,62580,59133,59111,59111,59830,62860,59247,62860,62420,62320,62118,59178,62880,59135,62860,59220,62156,59293,59112,62440,59273,59255,59113,59830,62860,62860,62860,62860,59147,62156,59111,62320,59830,59265,59295,59295,62156,59226,62580,59175,59554,62580,59830,59175,59282,62118)

20. 0.0355

    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((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.15- 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='207' AND MATCH (wish_desc) AGAINST ('(+réfrigérateur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59194,59194,59194,59167,59119,59148,59450,59182,59286,59146,59287,59182,59287,59870,59283,59187,59176,59310,59500,62790,59128,59283,59176,59950,59553,59553,59169,59310,59552,59870,59490,59870,59552,62141,59235,59169,59870,59246,59165,59169,59310,62970,59310,59169,59162,59553,59490,59580,62112,59151,59179,59710,59169,59234,59239,59580,62112,59310,59870,62950,62117,59551,59234,62119,62490,59171,59870,59261,62490,59151,59215,59242,59870,59310,59239,59710,62490,59310,62820,59151,59234,59178,59171,59151,62590,62490,59310,59230,59178,62490,59551,59252,59710,59242,59151,59265,59230,62860,59172,59252,62490,62110,59242,59710,59247,62640,59171,62220,59690,59310,59124,59310,59133,62710,59178,62320,62320,59265,59273,62490,62860,59226,59156,62740,59252,59259,59830,59247,59172,62118,62490,62580,59133,59111,59111,59830,62860,59247,62860,62420,62320,62118,59178,62880,59135,62860,59220,62156,59293,59112,62440,59273,59255,59113,59830,62860,62860,62860,62860,59147,62156,59111,62320,59830,59265,59295,59295,62156,59226,62580,59175,59554,62580,59830,59175,59282,62118) 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='59194'

22. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.220135678816 AND ville_latitude_deg<50.579864321184 AND ville_longitude_deg>2.867825780804 AND ville_longitude_deg<3.432174219196 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0045

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.15- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.950339197041 AND ville_latitude_deg<50.849660802959 AND ville_longitude_deg>2.4445583689314 AND ville_longitude_deg<3.8554416310686 HAVING distance <= 50 ORDER BY distance ASC

24. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 370199 AND W.type_id = 1) OR (W.util_id != 370199 AND W.type_id = 2)) AND (`post_util_id` = 370199 OR `dest_util_id` = 370199) 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=370199 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='702' 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 = 370199 AND W.type_id = 1) OR (W.util_id != 370199 AND W.type_id = 2)) AND (`post_util_id` = 370199 OR `dest_util_id` = 370199) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

28. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 370199

29. 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=207 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

30. 0.0001

    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='réfrigérateur' OR ssrubr_slug like '%réfrigérateur%' OR MATCH (ssrubr_slug) AGAINST ('(+réfrigérateur)')) AND sk.ssrubr_id='702' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

31. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='702' AND actu_niveau=0 ORDER BY actu_ordre DESC

32. 0.0009

    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. 0.0499

    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 0.1393