Location réhausseur à 91390 Morsang-sur-orge

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='equipement-pour-bebe'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=228

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='91390' AND ville_nom like '%morsang%sur%orge%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%rehausseur%' OR ssrubr_title like '%rehausseur%' OR ssrubr_slug like '%rehausseur%') AND cate_id='228' 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='91390'

12. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.486835678816 AND ville_latitude_deg<48.846564321184 AND ville_longitude_deg>2.0776586664695 AND ville_longitude_deg<2.6223413335305 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='réhausseur'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='228' AND ssrubr_id='804' AND wish_visu IN (1,6,10) AND wish_cp like '91390%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=228

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='réhausseur' OR ssrubr_slug='réhausseur' OR (ssrubr_title like '%réhausseur%')) AND cate_id='228' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='rehausseur' AND cate_id='228'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91390'

19. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.486835678816 AND ville_latitude_deg<48.846564321184 AND ville_longitude_deg>2.0776586664695 AND ville_longitude_deg<2.6223413335305 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0082

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.217039197041 AND ville_latitude_deg<49.116360802959 AND ville_longitude_deg>1.6691407950714 AND ville_longitude_deg<3.0308592049286 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0011

    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((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.35- 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='228' AND ssrubr_id='804' AND wish_visu IN (1,6,10) AND wish_cp IN (91390,91390,91600,91360,91170,91360,91350,91260,91420,91700,91700,91700,91160,91160,91380,91240,91210,91130,91000,91550,91070,91220,91220,91270,91310,91160,91620,91200,91080,91160,91310,91310,94480,91320,91450,91140,91230,91000,91090,91140,91620,94290,91300,91090,91120,91560,91310,94150,91460,91450,94260,94310,92160,94390,94190,91180,91370,91290,94550,91810,91250,94320,91630,91800,91250,91540,91630,91290,91100,94600,91430,94450,92340,91100,91330,91280,91860,94460,91630,91540,92290,91540,91400,94240,94232,94239,94238,94230,94235,94233,94234,94236,94231,94237,91710,91430,91680,91250,91630,91480,91940,91570,94400,91540,91520,91340,91940,91800,92260,92330,91440,92350,91630,94440,94380,91640,94110,94800,91770,94520,94520,77127,92220,94470,91400,91480,94000,92320,94140,91250,91830,91640,91610,77380,91190,91940,92140,94700,91750,91790,94440,91680,91650,91760,94270,94250,91190,94440,94205,94200,92120,92240,91850,91400,91730,94220,94370,94380,78350,91650,92360,92190,92130,91510,91510,91830,91190,77170,91640,91750,77176,94210,94340,94100,92370,94410,91590,91650,91640,94340,92170,94160,91470,77550,94430,78140,91730,91910,91730,78350,78530,78117,91530,94490,94880,94880,77240,91470,77170,78117,78470,92100,92310) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (536342,542500)

23. 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 = 536342 AND W.type_id = 1) OR (W.util_id <> 536342 AND W.type_id = 2)) AND (M.post_util_id = 536342 OR M.dest_util_id = 536342) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=536342 AND note_visu IN (1,3,4)

25. 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 = 542500 AND W.type_id = 1) OR (W.util_id <> 542500 AND W.type_id = 2)) AND (M.post_util_id = 542500 OR M.dest_util_id = 542500) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=542500 AND note_visu IN (1,3,4)

27. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91390'

28. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.486835678816 AND ville_latitude_deg<48.846564321184 AND ville_longitude_deg>2.0776586664695 AND ville_longitude_deg<2.6223413335305 HAVING distance <= 20 ORDER BY distance ASC

29. 0.0082

    SELECT ville_cp, ROUND((((acos(sin((48.6667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.217039197041 AND ville_latitude_deg<49.116360802959 AND ville_longitude_deg>1.6691407950714 AND ville_longitude_deg<3.0308592049286 HAVING distance <= 50 ORDER BY distance ASC

30. 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 (804)

31. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (536342,542500)

32. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (536342,542500)

33. 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='réhausseur' OR ssrubr_slug like '%réhausseur%' OR MATCH (ssrubr_slug) AGAINST ('(+réhausseur)')) AND sk.ssrubr_id='804' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

34. 0.0002

    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 = 228 AND ss.ssrubr_id <> 804 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

35. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='804' AND actu_niveau=0 ORDER BY actu_ordre DESC

36. 0.0001

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

37. 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

38. 0.0001

    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 (228) ORDER BY ssrubr_order ASC

39. 0.0009

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

40. 0.0249

    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'

41. 0.0201

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

41 requetes sql en 0.0754