Location imprimante à 91860 épinay-sous-sénart

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. 0.0015

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='high-tech'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=208

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('91' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91860' AND ville_nom like '%epinay%sous%senart%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0043

   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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%imprimante%' OR ssrubr_title like '%imprimante%' OR ssrubr_slug like '%imprimante%') AND cate_id='208' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SHOW TABLES LIKE 'pays'

9. 0.0032

   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='91860'

12. 0.0076

    SELECT ville_cp, ROUND((((acos(sin((48.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.503435678816 AND ville_latitude_deg<48.863164321184 AND ville_longitude_deg>2.2442389161422 AND ville_longitude_deg<2.7891010838578 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0012

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='imprimante'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='208'AND MATCH (wish_title,wish_desc) AGAINST ('+imprimante*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '91860%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=208

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='imprimante' OR ssrubr_slug='imprimante' OR (ssrubr_title like '%imprimante%')) AND cate_id='208' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='imprimante' AND cate_id='208'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91860'

19. 0.0048

    SELECT ville_cp, ROUND((((acos(sin((48.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.503435678816 AND ville_latitude_deg<48.863164321184 AND ville_longitude_deg>2.2442389161422 AND ville_longitude_deg<2.7891010838578 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0231

    SELECT ville_cp, ROUND((((acos(sin((48.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.233639197041 AND ville_latitude_deg<49.132960802959 AND ville_longitude_deg>1.8355864173184 AND ville_longitude_deg<3.1977535826816 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0966

    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((48.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.51667- 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='208' AND MATCH (wish_desc) AGAINST ('(+imprimante*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91860,91800,91480,91800,94520,94520,91480,91330,94440,77380,94440,91230,91250,94440,94450,77127,77170,91450,91560,91450,77170,91210,94190,91000,91090,94470,91280,91270,91250,91130,91000,94480,94460,77166,94290,77150,91200,91250,94380,94370,91100,94380,77550,91260,91170,77150,91350,77166,91080,94310,94390,94880,94880,94490,91550,77173,77176,94000,94600,91090,77550,94510,91100,91070,91700,91390,91600,77111,94430,91830,91250,94100,94210,94340,77550,94320,91420,77170,91360,77176,94400,94150,77550,91540,94700,77240,91540,77340,77330,91320,91700,91360,94500,77240,94140,77240,77111,94340,94420,94550,94410,91540,77950,91380,91160,77680,91700,94260,91220,91220,77184,94220,94360,77310,77220,94350,91830,94130,91240,94800,91810,77950,77310,91540,77390,91160,94230,94237,94236,94240,94235,94234,94233,94232,94231,94238,94239,77950,77220,92160,77390,94200,94205,91750,77950,92340,91300,91310,94160,77185,91160,91160,77220,94270,91710,93330,94170,94110,77135,94120,77390,91620,77350,77310,93160,91750,77350,77220,91310,77390,91310,77390,94300,77420,91630,91140,91370,91120,77350,77183,77090,77000,77000) AND type_id=1 GROUP BY wish_id

22. 0.001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (132488,43920,314461,357715)

23. 0.0004

    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 = 132488 AND W.type_id = 1) OR (W.util_id <> 132488 AND W.type_id = 2)) AND (M.post_util_id = 132488 OR M.dest_util_id = 132488) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0003

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=132488 AND note_visu IN (1,3,4)

25. 0.0003

    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 = 43920 AND W.type_id = 1) OR (W.util_id <> 43920 AND W.type_id = 2)) AND (M.post_util_id = 43920 OR M.dest_util_id = 43920) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0003

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=43920 AND note_visu IN (1,3,4)

27. 0.0003

    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 = 314461 AND W.type_id = 1) OR (W.util_id <> 314461 AND W.type_id = 2)) AND (M.post_util_id = 314461 OR M.dest_util_id = 314461) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0003

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=314461 AND note_visu IN (1,3,4)

29. 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 = 357715 AND W.type_id = 1) OR (W.util_id <> 357715 AND W.type_id = 2)) AND (M.post_util_id = 357715 OR M.dest_util_id = 357715) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

30. 0.0003

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=357715 AND note_visu IN (1,3,4)

31. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91860'

32. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((48.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.503435678816 AND ville_latitude_deg<48.863164321184 AND ville_longitude_deg>2.2442389161422 AND ville_longitude_deg<2.7891010838578 HAVING distance <= 20 ORDER BY distance ASC

33. 0.0089

    SELECT ville_cp, ROUND((((acos(sin((48.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.233639197041 AND ville_latitude_deg<49.132960802959 AND ville_longitude_deg>1.8355864173184 AND ville_longitude_deg<3.1977535826816 HAVING distance <= 50 ORDER BY distance ASC

34. 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 (659)

35. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (43920,314461,357715,132488)

36. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (43920,314461,357715,132488)

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='imprimante' OR ssrubr_slug like '%imprimante%' OR MATCH (ssrubr_slug) AGAINST ('(+imprimante)')) AND sk.ssrubr_id='659' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 0.0004

    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 = 208 AND ss.ssrubr_id <> 659 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='659' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0.0002

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

41. 0.0002

    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 (208) ORDER BY ssrubr_order ASC

43. 0.0017

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

44. 0.0466

    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. 0.0619

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

45 requetes sql en 0.2716