Location boule à facette à 95880 Enghien-les-bains

1. 0.0002

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

2. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=176

3. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='95'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95880' AND ville_nom like '%enghien%les%bains%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%boule%a%facette%' OR ssrubr_title like '%boule%a%facette%' OR ssrubr_slug like '%boule%a%facette%') AND cate_id='176' 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='95880'

7. 0.0024

   SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.786835678816 AND ville_latitude_deg<49.146564321184 AND ville_longitude_deg>2.0426939337662 AND ville_longitude_deg<2.5906460662338 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='boule facette; boule a facette'

9. 0.001

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='176'AND MATCH (wish_title,wish_desc) AGAINST ('+boule facette; boule a facette*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95880%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=176

11. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='boule facette; boule a facette' OR ssrubr_slug='boule-facette;-boule-a-facette' OR (ssrubr_title like '%boule facette; boule a facette%')) AND cate_id='176' 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. 0.0002

    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 (176) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='boule-a-facette' AND cate_id='176'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95880'

17. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.786835678816 AND ville_latitude_deg<49.146564321184 AND ville_longitude_deg>2.0426939337662 AND ville_longitude_deg<2.5906460662338 HAVING distance <= 20 ORDER BY distance ASC

18. 0.006

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.517039197041 AND ville_latitude_deg<49.416360802959 AND ville_longitude_deg>1.6317239280719 AND ville_longitude_deg<3.0016160719281 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0676

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='176' AND MATCH (wish_desc) AGAINST ('(+boule +facette; +boule +a +facette*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95880,95880,93800,93430,95230,95170,95210,95360,95218,95410,93380,95580,95580,95160,93450,92230,92390,95120,95600,93210,93200,95110,95350,93240,95100,95680,95350,95400,95200,95130,92600,92270,95390,95130,95140,93300,95440,95320,92700,93120,95330,93400,92110,95400,93440,92300,95870,93350,95460,95500,95240,92250,92400,95570,95570,95570,93500,95530,95500,78500,95370,95560,92200,78800,95720,95250,95150,95720,95550,93700,93150,95840,95720,93310,95560,95560,78420,92000,95220,95500,95740,75015,75008,75116,75020,75016,75007,75018,75017,75002,75006,75001,75010,75000,75011,75003,75004,75012,75013,75019,75005,75009,75014,93000,95190,95480,78600,93260,93230,92500,95720,95840,92800,92150,95500,95560,95590,93140,93170,78360,95190,95570,95270,95540,95850,93100,78600,93130,93600,95190,95270,92170,95270,95700,95380,78400,95630,95430,94300,95430,92100,92210,93420,78700,95850,93270,93250,78110,93320,93340,95380,93110,94160,92120,95590,94250,92240,95610,92380,92130,94270,95760,95310,78560,94205,94200,78290,78380,78230,95270,95270,95290,95270,94120,78170,93390,93190,92420,92430,95270,95620,92410,94220,78260,95380,95300,93220,78570,93360,78430,95270,92190,92360,95380,95590,95270,92220,94110,78100,78780,95670,93410,94170,95260,95270,92320,95270,92310,95260,95270,92140,94800,93290,95000,95660,95470,94130,95300,95380,78750,94410,95000,93370,78300,94140,95300,94340)

20. 0.0508

    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((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- 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='176' AND MATCH (wish_desc) AGAINST ('(+boule +facette; +boule +a +facette*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95880,95880,93800,93430,95230,95170,95210,95360,95218,95410,93380,95580,95580,95160,93450,92230,92390,95120,95600,93210,93200,95110,95350,93240,95100,95680,95350,95400,95200,95130,92600,92270,95390,95130,95140,93300,95440,95320,92700,93120,95330,93400,92110,95400,93440,92300,95870,93350,95460,95500,95240,92250,92400,95570,95570,95570,93500,95530,95500,78500,95370,95560,92200,78800,95720,95250,95150,95720,95550,93700,93150,95840,95720,93310,95560,95560,78420,92000,95220,95500,95740,75015,75008,75116,75020,75016,75007,75018,75017,75002,75006,75001,75010,75000,75011,75003,75004,75012,75013,75019,75005,75009,75014,93000,95190,95480,78600,93260,93230,92500,95720,95840,92800,92150,95500,95560,95590,93140,93170,78360,95190,95570,95270,95540,95850,93100,78600,93130,93600,95190,95270,92170,95270,95700,95380,78400,95630,95430,94300,95430,92100,92210,93420,78700,95850,93270,93250,78110,93320,93340,95380,93110,94160,92120,95590,94250,92240,95610,92380,92130,94270,95760,95310,78560,94205,94200,78290,78380,78230,95270,95270,95290,95270,94120,78170,93390,93190,92420,92430,95270,95620,92410,94220,78260,95380,95300,93220,78570,93360,78430,95270,92190,92360,95380,95590,95270,92220,94110,78100,78780,95670,93410,94170,95260,95270,92320,95270,92310,95260,95270,92140,94800,93290,95000,95660,95470,94130,95300,95380,78750,94410,95000,93370,78300,94140,95300,94340) 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='95880'

22. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.786835678816 AND ville_latitude_deg<49.146564321184 AND ville_longitude_deg>2.0426939337662 AND ville_longitude_deg<2.5906460662338 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0058

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.517039197041 AND ville_latitude_deg<49.416360802959 AND ville_longitude_deg>1.6317239280719 AND ville_longitude_deg<3.0016160719281 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 = 200916 AND W.type_id = 1) OR (W.util_id != 200916 AND W.type_id = 2)) AND (`post_util_id` = 200916 OR `dest_util_id` = 200916) 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=200916 AND note_visu IN (1,3,4)

26. 0.0005

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 311956 AND W.type_id = 1) OR (W.util_id != 311956 AND W.type_id = 2)) AND (`post_util_id` = 311956 OR `dest_util_id` = 311956) 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=311956 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='835' LIMIT 0,1

29. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 311956

30. 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='835' LIMIT 0,1

31. 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 = 200916 AND W.type_id = 1) OR (W.util_id != 200916 AND W.type_id = 2)) AND (`post_util_id` = 200916 OR `dest_util_id` = 200916) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

32. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 200916

33. 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=176 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

34. 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='boule facette; boule a facette' OR ssrubr_slug like '%boule facette; boule a facette%' OR MATCH (ssrubr_slug) AGAINST ('(+boule +facette; +boule +a +facette)')) AND sk.ssrubr_id='835' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

35. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='835' AND actu_niveau=0 ORDER BY actu_ordre DESC

36. 0.0009

    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. 0.0505

    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 0.1925