Location fer à friser à 93330 Neuilly-sur-marne

1. 0.0001

   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='objet'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=92

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='93'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='93330' AND ville_nom like '%neuilly%sur%marne%' 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 '%fer%a%friser%' OR ssrubr_title like '%fer%a%friser%' OR ssrubr_slug like '%fer%a%friser%') AND cate_id='92' 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='93330'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>2.2599930625247 AND ville_longitude_deg<2.8066669374753 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='fer friser; fer a friser'

14. 0.0007

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='92'AND MATCH (wish_title,wish_desc) AGAINST ('+fer friser; fer a friser*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '93330%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=92

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='fer friser; fer a friser' OR ssrubr_slug='fer-friser;-fer-a-friser' OR (ssrubr_title like '%fer friser; fer a friser%')) AND cate_id='92' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='fer-a-friser' AND cate_id='92'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93330'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>2.2599930625247 AND ville_longitude_deg<2.8066669374753 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0061

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.400339197041 AND ville_latitude_deg<49.299660802959 AND ville_longitude_deg>1.8499817637462 AND ville_longitude_deg<3.2166782362538 HAVING distance <= 50 ORDER BY distance ASC

21. 0.122

    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((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- 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='92' AND MATCH (wish_desc) AGAINST ('(+fer +friser; +fer +a +friser*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (93330,93330,94360,93360,94350,94170,93160,93460,94120,93220,94500,93110,94130,93250,94420,77420,93340,93320,94430,93370,94340,94210,94100,93130,77500,94340,77185,94410,77184,94300,77186,93140,93190,93390,94490,94880,94880,93100,77340,93230,93260,77177,93000,93470,94510,77181,77200,93170,77360,94160,94000,94700,94370,94380,93270,94220,93410,77181,77183,77090,94380,77680,94140,93310,77600,93700,77270,93150,77400,94470,93600,93500,77410,77400,94200,94205,94460,77600,77600,93290,94400,77400,93350,94600,94270,77164,93420,94440,93120,93300,94800,77135,77330,94450,77600,77400,75015,75002,75000,75001,75016,75017,75014,75013,75003,75004,75005,75006,75007,75008,75009,75010,75011,75012,75018,75019,75020,75116,77400,93440,77150,94190,94320,77400,94390,94310,94440,95500,77150,94440,91330,77600,77400,94250,77170,77410,95140,94290,93240,93400,94110,93210,93200,77600,77144,77290,95500,91560,77410,92120,94550,94240,94230,94234,94231,94238,94239,94237,94236,94235,94233,94232,77410,94520,94520,95700,91800,95500,95400,94480,92170,77410,92390,93450,95500,94150,77700,77144,92240,91200,77173,91230,93380,77410,92340,92110,92220,77700,93430,91800,91860,77450,95360,91270,77450,92300,92320,77990,95190,77410,91550,91480,77290,92600,94260,92230,77170,91320,77220,92330,92260,92200,93800,92130,77174,95720,95200,95400,95410) 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 = 378406 AND W.type_id = 1) OR (W.util_id <> 378406 AND W.type_id = 2)) AND (M.post_util_id = 378406 OR M.dest_util_id = 378406) 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=378406 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 = 393883 AND W.type_id = 1) OR (W.util_id <> 393883 AND W.type_id = 2)) AND (M.post_util_id = 393883 OR M.dest_util_id = 393883) 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=393883 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 = 400482 AND W.type_id = 1) OR (W.util_id <> 400482 AND W.type_id = 2)) AND (M.post_util_id = 400482 OR M.dest_util_id = 400482) 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=400482 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='93330'

29. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.670135678816 AND ville_latitude_deg<49.029864321184 AND ville_longitude_deg>2.2599930625247 AND ville_longitude_deg<2.8066669374753 HAVING distance <= 20 ORDER BY distance ASC

30. 0.0061

    SELECT ville_cp, ROUND((((acos(sin((48.85*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.85*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.53333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.400339197041 AND ville_latitude_deg<49.299660802959 AND ville_longitude_deg>1.8499817637462 AND ville_longitude_deg<3.2166782362538 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 (826)

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 (393883,400482,378406)

33. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (393883,400482,378406)

34. 0.0002

    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=92 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='fer friser; fer a friser' OR ssrubr_slug like '%fer friser; fer a friser%' OR MATCH (ssrubr_slug) AGAINST ('(+fer +friser; +fer +a +friser)')) AND sk.ssrubr_id='826' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 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 = 92 AND ss.ssrubr_id <> 826 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

37. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='826' 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. 0.0002

    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 (92) ORDER BY ssrubr_order ASC

41. 0.0011

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

42. 0.0219

    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. 0.0164

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

43 requetes sql en 0.1849