Location bouilloire à 92240 Malakoff

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

   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('92' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92240' AND ville_nom like '%malakoff%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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. 0.0021

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%bouilloire%' OR ssrubr_title like '%bouilloire%' OR ssrubr_slug like '%bouilloire%') 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. 0.0002

    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='92240'

12. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>2.0268446819952 AND ville_longitude_deg<2.5731553180048 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='bouilloire'

14. 0.0006

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='207'AND MATCH (wish_title,wish_desc) AGAINST ('+bouilloire*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '92240%'

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='bouilloire' OR ssrubr_slug='bouilloire' OR (ssrubr_title like '%bouilloire%')) 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='bouilloire' AND cate_id='207'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92240'

19. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>2.0268446819952 AND ville_longitude_deg<2.5731553180048 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.367039197041 AND ville_latitude_deg<49.266360802959 AND ville_longitude_deg>1.6171058163378 AND ville_longitude_deg<2.9828941836622 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0413

    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((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- 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 ('(+bouilloire*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92240,92240,92120,92170,92220,92320,94250,92130,92140,94110,92330,92260,92100,92360,92190,94236,94237,94231,94238,94239,94235,94234,94233,94240,94230,92350,94232,92340,94270,94800,75006,75005,75004,75003,75002,75007,75000,75001,75008,75009,75010,75013,75014,75012,75011,75015,75016,75018,75019,75020,75116,75017,92290,94200,94205,94550,92210,92310,92800,92150,92160,94260,92370,92200,91370,92410,94400,94320,94150,94220,78140,94160,94140,92380,92110,92420,92430,92300,91300,93400,91320,91570,92400,78220,94700,92250,93170,94600,93310,92500,94390,94310,94300,92600,91430,93100,78350,92270,78170,94410,92700,91120,92000,93500,91430,91550,94340,93230,93260,78000,94290,93120,93300,94000,78150,92230,91380,91160,93450,92390,91160,91420,78400,78800,91200,78290,78380,78530,78350,91400,91140,94130,78150,93200,93210,94120,78420,94480,93130,94460,95870,93000,94190,93110,78430,94380,94340,94210,94100,93800,91160,94170,95100,93140,78560,78117,93350,91270,91400,91140,78360,91560,94500,94430,94360,93240,93430,91260,91440,78870,78110,94450,93250,91190,95880,95218,95210,91160,91360,78160,93360,91360,93700,93150,91230,95110,95360,91390,91600,78500,93440,91210,78210,78230,78117,93380,91190,78590,93330,78750,94470,91170,91940,78620,94380,94370,78280,78330,93340,78100,93320,78590,94350,91330,78600,78600,95230,91700,93220,78112,94880,95170,95120,94880,94490,91620,95530,95140,95410,95130,91620,91190,91940,95500,91940,78114,91350,94420,91800,78960,93160,95240) 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 = 107545 AND W.type_id = 1) OR (W.util_id <> 107545 AND W.type_id = 2)) AND (M.post_util_id = 107545 OR M.dest_util_id = 107545) 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=107545 AND note_visu IN (1,3,4)

24. 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 = 181089 AND W.type_id = 1) OR (W.util_id <> 181089 AND W.type_id = 2)) AND (M.post_util_id = 181089 OR M.dest_util_id = 181089) 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=181089 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 = 272982 AND W.type_id = 1) OR (W.util_id <> 272982 AND W.type_id = 2)) AND (M.post_util_id = 272982 OR M.dest_util_id = 272982) 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=272982 AND note_visu IN (1,3,4)

28. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92240'

29. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>2.0268446819952 AND ville_longitude_deg<2.5731553180048 HAVING distance <= 20 ORDER BY distance ASC

30. 0.0061

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.367039197041 AND ville_latitude_deg<49.266360802959 AND ville_longitude_deg>1.6171058163378 AND ville_longitude_deg<2.9828941836622 HAVING distance <= 50 ORDER BY distance ASC

31. 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 (1130)

32. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (272982,107545,181089)

33. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (272982,107545,181089)

34. 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

35. 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='bouilloire' OR ssrubr_slug like '%bouilloire%' OR MATCH (ssrubr_slug) AGAINST ('(+bouilloire)')) AND sk.ssrubr_id='1130' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 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 = 207 AND ss.ssrubr_id <> 1130 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

37. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1130' AND actu_niveau=0 ORDER BY actu_ordre DESC

38. 0

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

39. 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

40. 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

41. 0.0017

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

42. 0.0247

    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'

43. 0.0209

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

43 requetes sql en 0.1156