Location siège enfant vélo à 93130 Noisy-le-sec

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='materiel-sportif'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=95

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='93'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='93130' AND ville_nom like '%noisy%le%sec%' 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. 0.0014

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%siege%enfant%velo%' OR ssrubr_title like '%siege%enfant%velo%' OR ssrubr_slug like '%siege%enfant%velo%') AND cate_id='95' 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='93130'

12. 0.0034

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>2.1931511089253 AND ville_longitude_deg<2.7401888910747 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='siège vélo; siege enfant velo'

14. 0.0008

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='95'AND MATCH (wish_title,wish_desc) AGAINST ('+siège vélo; siege enfant velo*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '93130%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=95

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='siège vélo; siege enfant velo' OR ssrubr_slug='siège-vélo;-siege-enfant-velo' OR (ssrubr_title like '%siège vélo; siege enfant velo%')) AND cate_id='95' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='siege-enfant-velo' AND cate_id='95'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93130'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>2.1931511089253 AND ville_longitude_deg<2.7401888910747 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0065

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.433639197041 AND ville_latitude_deg<49.332960802959 AND ville_longitude_deg>1.7828668758251 AND ville_longitude_deg<3.1504731241749 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0477

    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((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.46667- 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='95' AND MATCH (wish_desc) AGAINST ('(+siège +vélo; +siege +enfant +velo*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (93130,93130,93140,93110,93000,93230,93260,93250,93100,94120,93320,93360,93170,93340,94170,94300,93310,93220,93500,93700,93150,94130,93330,93350,94160,94360,93190,93120,93300,93390,93270,94340,94410,93460,93370,93160,94350,94220,94500,93440,93600,93410,93470,77181,75008,75007,75006,75005,75000,75004,75001,75002,75003,75009,75010,75020,75019,75018,75017,75016,75015,75014,75013,75012,75011,75116,94340,94210,94100,94700,95500,94205,94200,93240,93200,93210,77500,93400,94140,94430,95140,94270,94420,77420,93420,94000,95500,92390,93450,93290,77181,95400,94800,93380,94400,77177,94250,77270,77185,92110,93430,95360,94880,94490,94880,77186,95500,94380,95500,92120,77184,92230,92170,94110,94600,95700,77360,92300,92600,93800,94380,94370,77340,77410,77200,95410,94510,92240,95400,95200,94320,95880,92200,95170,94232,94231,94240,94233,94234,94235,94230,94236,94237,94238,94239,94460,95190,95350,95720,92270,94470,92220,94550,94390,94310,77290,77090,77183,92400,77400,77400,92250,95440,95160,77600,92700,95218,95210,92320,77680,92340,92130,95230,94450,94190,92100,95380,95720,94290,94150,95350,92150,92800,77400,77410,92140,92260,92330,77600,77600,95100,77990,95380,94440,95580,95580,95460,77400,95110,95120,77400,92350,77400,94260,92360,92190,91560,95190,77410,77600,77410,95600,91330,77990,77164,92210,94480,95870,95380,95720,94440,91200,92160,95330,91320,77410,77135,77400,92500,95380,77290,77330,92290,92000,78800,94440,91550,77150,95680) 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 = 288808 AND W.type_id = 1) OR (W.util_id <> 288808 AND W.type_id = 2)) AND (M.post_util_id = 288808 OR M.dest_util_id = 288808) 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=288808 AND note_visu IN (1,3,4)

24. 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 = 322816 AND W.type_id = 1) OR (W.util_id <> 322816 AND W.type_id = 2)) AND (M.post_util_id = 322816 OR M.dest_util_id = 322816) 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=322816 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 = 389173 AND W.type_id = 1) OR (W.util_id <> 389173 AND W.type_id = 2)) AND (M.post_util_id = 389173 OR M.dest_util_id = 389173) 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=389173 AND note_visu IN (1,3,4)

28. 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 = 539853 AND W.type_id = 1) OR (W.util_id <> 539853 AND W.type_id = 2)) AND (M.post_util_id = 539853 OR M.dest_util_id = 539853) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=539853 AND note_visu IN (1,3,4)

30. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93130'

31. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>2.1931511089253 AND ville_longitude_deg<2.7401888910747 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0072

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.46667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.433639197041 AND ville_latitude_deg<49.332960802959 AND ville_longitude_deg>1.7828668758251 AND ville_longitude_deg<3.1504731241749 HAVING distance <= 50 ORDER BY distance ASC

33. 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 (743,788)

34. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (322816,389173,288808,539853)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (322816,389173,288808,539853)

36. 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=95 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

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='siège vélo; siege enfant velo' OR ssrubr_slug like '%siège vélo; siege enfant velo%' OR MATCH (ssrubr_slug) AGAINST ('(+siège +vélo; +siege +enfant +velo)')) AND sk.ssrubr_id='743' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 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 = 95 AND ss.ssrubr_id <> 743 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='743' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0.0001

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

41. 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

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 (95) ORDER BY ssrubr_order ASC

43. 0.0009

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

44. 0.0255

    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. 0.0178

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

45 requetes sql en 0.1204