Location palan à 91240 Saint-michel-sur-orge

1. 0.0001

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='materiel-bricolage'

2. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=87

3. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='91'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91240' AND ville_nom like '%saint%michel%sur%orge%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0013

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%palan%' OR ssrubr_title like '%palan%' OR ssrubr_slug like '%palan%') AND cate_id='87' 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='91240'

7. 0.0017

   SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.453435678816 AND ville_latitude_deg<48.813164321184 AND ville_longitude_deg>2.0278390001937 AND ville_longitude_deg<2.5721609998063 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='palan'

9. 0.0016

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+palan*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '91240%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=87

11. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='palan' OR ssrubr_slug='palan' OR (ssrubr_title like '%palan%')) AND cate_id='87' 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 (87) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='palan' AND cate_id='87'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91240'

17. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.453435678816 AND ville_latitude_deg<48.813164321184 AND ville_longitude_deg>2.0278390001937 AND ville_longitude_deg<2.5721609998063 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0055

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.183639197041 AND ville_latitude_deg<49.082960802959 AND ville_longitude_deg>1.6195916332696 AND ville_longitude_deg<2.9804083667304 HAVING distance <= 50 ORDER BY distance ASC

19. 0.1194

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='87' AND MATCH (wish_desc) AGAINST ('(+palan*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91240,91240,91310,91700,91220,91220,91310,91310,91700,91620,91160,91360,91310,91360,91700,91460,91600,91390,91180,91620,91160,91290,91350,91070,91290,91170,91630,91140,91160,91380,91630,91080,91630,91160,91420,91680,91340,91630,91260,91520,91140,91130,91000,91810,91090,91630,91120,91210,91540,91940,91710,91550,91090,91000,91790,91940,91640,91450,91640,91300,91650,91270,91400,91320,91770,91680,91200,91540,91730,91450,91440,91540,91540,91650,91100,94480,91430,91850,92160,94260,91510,91760,91510,91370,91230,91430,91940,91190,91650,94150,91610,91640,91250,91400,91640,91100,94290,91910,91730,91730,91570,91560,91530,91250,91400,91280,91470,91750,94310,94390,92290,91250,91590,94550,91190,94190,91580,92340,91470,94320,91190,91530,91800,91830,91250,91580,92260,92330,92350,94238,94240,91860,94236,94234,94233,94232,94239,94231,94230,94237,94235,91750,91590,94600,91330,91580,94450,91830,91480,91470,78470,78350,91580,94460,91800,91470,94400,77127,78117,91470,92220,91590,91590,92320,91530,78117,92140,94110,91580,91590,91590,91580,94800,91470,78530,78350,91530,94440,78830,91480,78460,94520,94520,92190,92360,92370,77380)

20. 0.0998

    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((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- 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='87' AND MATCH (wish_desc) AGAINST ('(+palan*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91240,91240,91310,91700,91220,91220,91310,91310,91700,91620,91160,91360,91310,91360,91700,91460,91600,91390,91180,91620,91160,91290,91350,91070,91290,91170,91630,91140,91160,91380,91630,91080,91630,91160,91420,91680,91340,91630,91260,91520,91140,91130,91000,91810,91090,91630,91120,91210,91540,91940,91710,91550,91090,91000,91790,91940,91640,91450,91640,91300,91650,91270,91400,91320,91770,91680,91200,91540,91730,91450,91440,91540,91540,91650,91100,94480,91430,91850,92160,94260,91510,91760,91510,91370,91230,91430,91940,91190,91650,94150,91610,91640,91250,91400,91640,91100,94290,91910,91730,91730,91570,91560,91530,91250,91400,91280,91470,91750,94310,94390,92290,91250,91590,94550,91190,94190,91580,92340,91470,94320,91190,91530,91800,91830,91250,91580,92260,92330,92350,94238,94240,91860,94236,94234,94233,94232,94239,94231,94230,94237,94235,91750,91590,94600,91330,91580,94450,91830,91480,91470,78470,78350,91580,94460,91800,91470,94400,77127,78117,91470,92220,91590,91590,92320,91530,78117,92140,94110,91580,91590,91590,91580,94800,91470,78530,78350,91530,94440,78830,91480,78460,94520,94520,92190,92360,92370,77380) 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='91240'

22. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.453435678816 AND ville_latitude_deg<48.813164321184 AND ville_longitude_deg>2.0278390001937 AND ville_longitude_deg<2.5721609998063 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0052

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.183639197041 AND ville_latitude_deg<49.082960802959 AND ville_longitude_deg>1.6195916332696 AND ville_longitude_deg<2.9804083667304 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 = 348252 AND W.type_id = 1) OR (W.util_id != 348252 AND W.type_id = 2)) AND (`post_util_id` = 348252 OR `dest_util_id` = 348252) 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=348252 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='995' LIMIT 0,1

27. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 348252

28. 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=87 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

29. 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='palan' OR ssrubr_slug like '%palan%' OR MATCH (ssrubr_slug) AGAINST ('(+palan)')) AND sk.ssrubr_id='768' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

30. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='768' AND actu_niveau=0 ORDER BY actu_ordre DESC

31. 0.0009

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

32. 0

    SELECT count(*) as nbwish FROM wish

33. 0.0482

    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

33 requetes sql en 0.2896