Location robot multifonctions à 93800 Épinay-sur-seine

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='93'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='93800' AND ville_nom like '%epinay%sur%seine%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0012

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%robot%multifonctions%' OR ssrubr_title like '%robot%multifonctions%' OR ssrubr_slug like '%robot%multifonctions%') 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='93800'

7. 0.0021

   SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.30833- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.770135678816 AND ville_latitude_deg<49.129864321184 AND ville_longitude_deg>2.0344456472466 AND ville_longitude_deg<2.5822143527534 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='robot multifonction; robot multifonctions'

9. 0.0006

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='207'AND MATCH (wish_title,wish_desc) AGAINST ('+robot multifonction; robot multifonctions*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '93800%'

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='robot multifonction; robot multifonctions' OR ssrubr_slug='robot-multifonction;-robot-multifonctions' OR (ssrubr_title like '%robot multifonction; robot multifonctions%')) 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='robot-multifonctions' AND cate_id='207'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93800'

17. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.30833- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.770135678816 AND ville_latitude_deg<49.129864321184 AND ville_longitude_deg>2.0344456472466 AND ville_longitude_deg<2.5822143527534 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.30833- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.500339197041 AND ville_latitude_deg<49.399660802959 AND ville_longitude_deg>1.6236132137498 AND ville_longitude_deg<2.9930467862502 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0435

    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 ('(+robot +multifonction; +robot +multifonctions*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (93800,93800,95880,92230,95210,93450,92390,93430,95218,95360,95230,93200,93210,95170,95100,92600,93380,95110,92270,95410,95120,93240,95580,95580,92110,92700,92300,93400,95600,95160,93120,93300,95130,95870,92250,95350,92400,95680,95400,95200,95130,93440,92200,95390,95350,95140,93350,95320,93500,95400,95240,78800,78500,95440,95530,95500,95330,92000,78420,95370,93310,95460,75018,75019,75020,75116,75000,75017,75015,75001,75002,75009,75003,75004,75005,75006,75007,75008,75010,75011,75013,75014,75012,75016,93700,93150,92150,92800,95250,92500,95500,95570,95570,95550,95150,95570,95560,78600,95220,93000,95720,93260,93230,95840,78360,95720,93170,95480,95500,93140,95720,95740,95560,92170,95560,93100,78600,92100,95190,78400,93130,92210,95500,95840,94300,95720,95560,92240,92120,95590,94250,78110,92380,92130,95190,95540,94160,93600,94270,95570,78700,78380,93110,78290,94205,94200,95270,78560,93250,95850,78170,95700,93320,78230,93340,92430,92420,92410,92360,92190,93420,93270,95430,95190,92220,95380,94110,92320,78430,95430,95270,95630,94220,92310,95610,94120,95270,92140,94800,78100,78260,93360,95310,94170,78570,78750,93220,93390,93190,95850,95380,94130,94410,95760,94140,92370,78780,95590,94231,94230,94240,92330,94232,94233,94239,94238,92260,94237,94236,94235,94234,92350,94340,95300,78160,93410,78300,94700,78140,78150,95000,78112,78150,95290,92340,93290,95270,95270,78220,93370,95270,95620,94400,95380,93330,78870,95000,95380,78620,95300)

20. 0.047

    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((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.30833- 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 ('(+robot +multifonction; +robot +multifonctions*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (93800,93800,95880,92230,95210,93450,92390,93430,95218,95360,95230,93200,93210,95170,95100,92600,93380,95110,92270,95410,95120,93240,95580,95580,92110,92700,92300,93400,95600,95160,93120,93300,95130,95870,92250,95350,92400,95680,95400,95200,95130,93440,92200,95390,95350,95140,93350,95320,93500,95400,95240,78800,78500,95440,95530,95500,95330,92000,78420,95370,93310,95460,75018,75019,75020,75116,75000,75017,75015,75001,75002,75009,75003,75004,75005,75006,75007,75008,75010,75011,75013,75014,75012,75016,93700,93150,92150,92800,95250,92500,95500,95570,95570,95550,95150,95570,95560,78600,95220,93000,95720,93260,93230,95840,78360,95720,93170,95480,95500,93140,95720,95740,95560,92170,95560,93100,78600,92100,95190,78400,93130,92210,95500,95840,94300,95720,95560,92240,92120,95590,94250,78110,92380,92130,95190,95540,94160,93600,94270,95570,78700,78380,93110,78290,94205,94200,95270,78560,93250,95850,78170,95700,93320,78230,93340,92430,92420,92410,92360,92190,93420,93270,95430,95190,92220,95380,94110,92320,78430,95430,95270,95630,94220,92310,95610,94120,95270,92140,94800,78100,78260,93360,95310,94170,78570,78750,93220,93390,93190,95850,95380,94130,94410,95760,94140,92370,78780,95590,94231,94230,94240,92330,94232,94233,94239,94238,92260,94237,94236,94235,94234,92350,94340,95300,78160,93410,78300,94700,78140,78150,95000,78112,78150,95290,92340,93290,95270,95270,78220,93370,95270,95620,94400,95380,93330,78870,95000,95380,78620,95300) 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='93800'

22. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.30833- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.770135678816 AND ville_latitude_deg<49.129864321184 AND ville_longitude_deg>2.0344456472466 AND ville_longitude_deg<2.5822143527534 HAVING distance <= 20 ORDER BY distance ASC

23. 0.006

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.30833- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.500339197041 AND ville_latitude_deg<49.399660802959 AND ville_longitude_deg>1.6236132137498 AND ville_longitude_deg<2.9930467862502 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 = 209518 AND W.type_id = 1) OR (W.util_id != 209518 AND W.type_id = 2)) AND (`post_util_id` = 209518 OR `dest_util_id` = 209518) 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=209518 AND note_visu IN (1,3,4)

26. 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 = 436961 AND W.type_id = 1) OR (W.util_id != 436961 AND W.type_id = 2)) AND (`post_util_id` = 436961 OR `dest_util_id` = 436961) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=436961 AND note_visu IN (1,3,4)

28. 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='685' LIMIT 0,1

29. 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 = 209518 AND W.type_id = 1) OR (W.util_id != 209518 AND W.type_id = 2)) AND (`post_util_id` = 209518 OR `dest_util_id` = 209518) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

30. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 209518

31. 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='685' LIMIT 0,1

32. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 436961

33. 0.0004

    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

34. 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='robot multifonction; robot multifonctions' OR ssrubr_slug like '%robot multifonction; robot multifonctions%' OR MATCH (ssrubr_slug) AGAINST ('(+robot +multifonction; +robot +multifonctions)')) AND sk.ssrubr_id='685' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

35. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='685' AND actu_niveau=0 ORDER BY actu_ordre DESC

36. 0.001

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

37. 0

    SELECT count(*) as nbwish FROM wish

38. 0.0599

    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

38 requetes sql en 0.1751