Location matériel professionnel à 95110 Sannois

1. 0.0002

   SELECT cate_title_slug FROM category WHERE fami_id IN (3,5) AND cate_title_slug<>'' AND cate_title_slug IS NOT NULL

2. 0.0001

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

3. 0.0001

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

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='95'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95110' AND ville_nom like '%sannois%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0005

   SELECT DISTINCT ssrubr_slug FROM ssrubr WHERE ssrubr_visu=1 AND fami_id IN (3,5) AND ssrubr_slug IS NOT NULL AND ssrubr_slug<>''

7. 0.0013

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%materiel%professionnel%' OR ssrubr_title like '%materiel%professionnel%' OR ssrubr_slug like '%materiel%professionnel%') AND cate_id='207' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0003

    SELECT pays_code, pays_nom, pays_actif, pays_NDD, pays_drapeau, pays_lang, pays_tel, pays_nb_annonces, pays_tel_masque, pays_tel_max, pays_tel_fmt_paires, pays_tel_mode FROM pays ORDER BY pays_nom ASC

11. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='95110'

12. 0.0021

    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(((2.25- 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>1.9760239337662 AND ville_longitude_deg<2.5239760662338 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='professionnel; materiel professionnel'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='207'AND MATCH (wish_title,wish_desc) AGAINST ('+professionnel; materiel professionnel*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95110%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=207

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='professionnel; materiel professionnel' OR ssrubr_slug='professionnel;-materiel-professionnel' OR (ssrubr_title like '%professionnel; materiel professionnel%')) AND cate_id='207' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='materiel-professionnel' AND cate_id='207'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95110'

19. 0.0021

    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(((2.25- 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>1.9760239337662 AND ville_longitude_deg<2.5239760662338 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0146

    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(((2.25- 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>1.5650539280719 AND ville_longitude_deg<2.9349460719281 HAVING distance <= 50 ORDER BY distance ASC

21. 0.046

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ui.util_verify, 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(((2.25- 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 ('(+professionnel; +materiel +professionnel*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95110,95110,95100,95130,95120,95210,95218,95130,95240,95230,95600,95870,93800,95530,95880,95370,95580,95580,78500,92230,95320,92700,92270,95390,95680,95170,95250,78800,92600,93430,95220,95160,93450,92390,95360,78420,92250,95410,78600,92400,95550,95150,92300,95480,92000,92110,93380,93200,93210,95350,78360,95840,95350,95560,92200,95330,95740,93400,78600,93240,95570,92500,95400,95200,95570,78700,92150,92800,95840,95440,93120,93300,95460,95560,95540,95570,78400,95560,95140,78110,95610,95400,93440,95430,93350,95590,93500,78230,78260,95500,95310,78560,95430,95630,78570,75002,75006,75005,75003,75000,75004,75001,75007,75008,75116,75020,75018,75017,75016,75015,75014,75013,75019,75012,75009,75010,75011,95560,78780,78380,78290,92210,95720,78100,95720,95300,93310,95720,95000,95500,92380,78430,92100,78170,78300,93700,93150,95760,92170,95000,78750,95570,95720,95300,92430,92420,78570,78955,95270,95500,93260,93230,78112,92410,93000,93170,78160,95270,92130,95290,95190,95280,95620,92310,95590,92240,95300,95190,92120,95520,95850,78620,93100,95500,95490,78240,93140,92190,92360,78150,94250,95270,78870,78150,78510,95190,78670,93130,78670,95300,95660,95260,92140,78240,95650,78590,94300,95260,92320,94270,95590,92370,92220,95000,95690,78140,94160,94200,95650,94205,95650,78540,95270,78220,94110,95850,78480,93600,95800,95380,95700,95690,95270,95270) AND type_id=1 GROUP BY wish_id

22. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 297681 AND W.type_id = 1) OR (W.util_id <> 297681 AND W.type_id = 2)) AND (M.post_util_id = 297681 OR M.dest_util_id = 297681) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=297681 AND note_visu IN (1,3,4)

24. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 354544 AND W.type_id = 1) OR (W.util_id <> 354544 AND W.type_id = 2)) AND (M.post_util_id = 354544 OR M.dest_util_id = 354544) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=354544 AND note_visu IN (1,3,4)

26. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 374476 AND W.type_id = 1) OR (W.util_id <> 374476 AND W.type_id = 2)) AND (M.post_util_id = 374476 OR M.dest_util_id = 374476) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=374476 AND note_visu IN (1,3,4)

28. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 133357 AND W.type_id = 1) OR (W.util_id <> 133357 AND W.type_id = 2)) AND (M.post_util_id = 133357 OR M.dest_util_id = 133357) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=133357 AND note_visu IN (1,3,4)

30. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95110'

31. 0.0031

    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(((2.25- 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>1.9760239337662 AND ville_longitude_deg<2.5239760662338 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0159

    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(((2.25- 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>1.5650539280719 AND ville_longitude_deg<2.9349460719281 HAVING distance <= 50 ORDER BY distance ASC

33. 0.0001

    SELECT ssr.ssrubr_id, ssr.ssrubr_slug, ssr.ssrubr_mail, ssr.ssrubr_mail_bis, ssr.ssrubr_keywords, ssr.ssrubr_bt2, ssr.ssrubr_photo, c.cate_title_slug, f.fami_url 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 IN (698)

34. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (133357,297681,374476,354544)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (133357,297681,374476,354544)

36. 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

37. 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='professionnel; materiel professionnel' OR ssrubr_slug like '%professionnel; materiel professionnel%' OR MATCH (ssrubr_slug) AGAINST ('(+professionnel; +materiel +professionnel)')) AND sk.ssrubr_id='698' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 0.0003

    SELECT ss.ssrubr_id, ss.ssrubr_slug, ss.ssrubr_title, ss.ssrubr_keywords, ss.ssrubr_mail, c.cate_title_slug FROM ssrubr ss INNER JOIN category c ON ss.cate_id = c.cate_id WHERE ss.ssrubr_visu = 1 AND ss.fami_id = 5 AND ss.cate_id = 207 AND ss.ssrubr_id <> 698 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='698' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0

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

41. 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

42. 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 (207) ORDER BY ssrubr_order ASC

43. 0.0015

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

44. 0.0345

    SELECT COUNT(*) AS nbavis FROM note n INNER JOIN util_info dest ON n.dest_util_id=dest.util_id INNER JOIN util_info post ON n.post_util_id=post.util_id INNER JOIN wish w ON n.wish_id=w.wish_id WHERE n.note_visu IN (1,2,3,4) AND n.post_util_id<>'7'

45. 0.0237

    SELECT count(*) as nbwish FROM wish WHERE wish_visu IN (1,6,10)

45 requetes sql en 0.1505