Location appareil hotdog à 95880 Enghien-les-bains

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 CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('95' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 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

6. 0.0006

   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. 0.002

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

8. 0.0001

   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='95880'

12. 0.003

    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

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='hot dog; appareil a hot dog; hotdog; hot dog; appa'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='207' AND ssrubr_id='845' AND wish_visu IN (1,6,10) AND wish_cp like '95880%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=207

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='hot dog; appareil a hot dog; hotdog; hot dog; appa' OR ssrubr_slug='hot-dog;-appareil-a-hot-dog;-hotdog;-hot-dog;-appa' OR (ssrubr_title like '%hot dog; appareil a hot dog; hotdog; hot dog; appa%')) 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='appareil-a-hot-dog' AND cate_id='207'

18. 0.0001

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

19. 0.003

    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

20. 0.0197

    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

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((48.9667*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='207' AND ssrubr_id='845' AND wish_visu IN (1,6,10) AND wish_cp IN (95880,95880,93800,93430,95170,95230,95218,95210,95360,95410,93380,95580,95580,95160,92230,92390,93450,95120,95600,93210,93200,95110,95350,93240,95100,95680,95350,95400,95200,95130,92600,92270,95390,95130,95140,92700,95320,95440,93120,93300,95330,93400,92110,93440,95400,92300,95870,93350,95460,95500,95240,92250,92400,95570,95570,95570,93500,95530,95500,95370,78500,95560,92200,78800,95720,95250,95150,95550,95720,93150,93700,95840,95720,93310,95560,95560,78420,92000,95220,95500,95740,75015,75016,75116,75018,75019,75020,75017,75014,75001,75000,75006,75007,75005,75008,75010,75011,75012,75004,75003,75013,75002,75009,93000,95480,95190,78600,93260,93230,92500,95840,95720,92150,92800,95500,95560,95590,93140,93170,78360,95190,95570,95270,95540,95850,93100,78600,93130,93600,95190,95270,92170,95270,95700,95380,78400,95630,95430,94300,95430,92100,92210,93420,78700,95850,93270,93250,93320,78110,93340,95380,93110,94160,92120,94250,92240,95590,95610,92380,94270,92130,95760,95310,78560,94200,94205,78380,78290,78230,95270,95270,95270,95290,78170,94120,93390,93190,92420,92430,95270,95620,94220,92410,78260,95300,95380,78570,93220,93360,78430,95270,92190,92360,95590,95270,95380,94110,92220,78100,78780,95670,93410,94170,95270,95260,92320,95270,92310,95270,95260,94800,92140,93290,95000,95660,95470,94130,95300,95380,78750,94410,95000,93370,78300,94140,95300,94340) 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 (340164,413637)

23. 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 = 340164 AND W.type_id = 1) OR (W.util_id <> 340164 AND W.type_id = 2)) AND (M.post_util_id = 340164 OR M.dest_util_id = 340164) 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=340164 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 = 413637 AND W.type_id = 1) OR (W.util_id <> 413637 AND W.type_id = 2)) AND (M.post_util_id = 413637 OR M.dest_util_id = 413637) 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=413637 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='95880'

28. 0.0022

    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

29. 0.0141

    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

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 (845)

31. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (340164,413637)

32. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (340164,413637)

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='hot dog; appareil a hot dog; hotdog; hot dog; appa' OR ssrubr_slug like '%hot dog; appareil a hot dog; hotdog; hot dog; appa%' OR MATCH (ssrubr_slug) AGAINST ('(+hot +dog; +appareil +a +hot +dog; +hotdog; +hot +dog; +appa)')) AND sk.ssrubr_id='845' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

34. 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 <> 845 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

35. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='845' AND actu_niveau=0 ORDER BY actu_ordre DESC

36. 0

    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. 0.0003

    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

39. 0.0015

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

40. 0.0268

    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. 0.0164

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

41 requetes sql en 0.0949