Location transat bébé à 94000 Créteil

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('94' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='94000' AND ville_nom like '%creteil%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%transat%bebe%' OR ssrubr_title like '%transat%bebe%' OR ssrubr_slug like '%transat%bebe%') AND cate_id='228' 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='94000'

12. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*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>48.603435678816 AND ville_latitude_deg<48.963164321184 AND ville_longitude_deg>2.1936965120265 AND ville_longitude_deg<2.7396434879735 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='transat; transat bebe'

14. 0.0007

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='228' AND ssrubr_id='803' AND wish_visu IN (1,6,10) AND wish_cp like '94000%'

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='transat; transat bebe' OR ssrubr_slug='transat;-transat-bebe' OR (ssrubr_title like '%transat; transat bebe%')) 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='transat-bebe' AND cate_id='228'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94000'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*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>48.603435678816 AND ville_latitude_deg<48.963164321184 AND ville_longitude_deg>2.1936965120265 AND ville_longitude_deg<2.7396434879735 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0064

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*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>48.333639197041 AND ville_latitude_deg<49.232960802959 AND ville_longitude_deg>1.784230395336 AND ville_longitude_deg<3.149109604664 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0008

    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((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*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='228' AND ssrubr_id='803' AND wish_visu IN (1,6,10) AND wish_cp IN (94000,94000,94380,94100,94700,94210,94340,94460,94340,94410,94600,94140,94430,94400,94470,94370,94380,94500,94220,94190,94130,94450,94880,94880,94490,94310,94390,94320,94360,94160,94290,94205,94200,91560,94120,94800,91330,94170,94300,94420,94270,94350,94480,94440,94510,94550,91200,94440,93330,94150,91230,93110,91800,93100,94232,94237,94239,94238,94236,94235,94234,94233,94231,94230,94240,94110,91270,93170,93360,77340,93160,91550,94440,94250,92340,94520,94520,93130,91320,77170,93250,93230,93260,92120,77184,94260,91860,91210,93460,93310,93220,91800,77420,77185,77150,92220,75000,75002,75001,75003,75004,75005,75015,75006,75007,75018,75017,75016,75020,75014,75013,75116,75012,75011,75010,75009,75008,75019,91260,92240,92160,93140,93000,92170,77150,92260,92330,91420,93320,93340,91480,92320,77680,91480,93500,77186,91170,91300,92350,92140,77330,92290,77500,91450,93370,77380,92130,91370,91130,91000,91380,91160,77200,91390,91600,77170,77090,77183,91350,93190,93390,93300,93120,93400,91360,77360,77173,77177,91450,92190,92360,91000,93150,93700,91090,92100,91250,91360,93350,93470,77181,77135,91160,93270,77600,91120,77127,92110,77164,93410,91700,77400,92200,91140,91160,77166,77181,93200,93210,91250,77600,77600,92300,91160,91280,91570,77166,93440,93600,91430,91080,91700,93450,92390,91700,77400,92210,92600,77400,92800,92150,93240,91070,92370,92310,77270,77410) 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 (238041,296709,329026)

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 = 238041 AND W.type_id = 1) OR (W.util_id <> 238041 AND W.type_id = 2)) AND (M.post_util_id = 238041 OR M.dest_util_id = 238041) 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=238041 AND note_visu IN (1,3,4)

25. 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 = 296709 AND W.type_id = 1) OR (W.util_id <> 296709 AND W.type_id = 2)) AND (M.post_util_id = 296709 OR M.dest_util_id = 296709) 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=296709 AND note_visu IN (1,3,4)

27. 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 = 329026 AND W.type_id = 1) OR (W.util_id <> 329026 AND W.type_id = 2)) AND (M.post_util_id = 329026 OR M.dest_util_id = 329026) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=329026 AND note_visu IN (1,3,4)

29. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94000'

30. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*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>48.603435678816 AND ville_latitude_deg<48.963164321184 AND ville_longitude_deg>2.1936965120265 AND ville_longitude_deg<2.7396434879735 HAVING distance <= 20 ORDER BY distance ASC

31. 0.0062

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*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>48.333639197041 AND ville_latitude_deg<49.232960802959 AND ville_longitude_deg>1.784230395336 AND ville_longitude_deg<3.149109604664 HAVING distance <= 50 ORDER BY distance ASC

32. 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 (803)

33. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (329026,296709,238041)

34. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (329026,296709,238041)

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='transat; transat bebe' OR ssrubr_slug like '%transat; transat bebe%' OR MATCH (ssrubr_slug) AGAINST ('(+transat; +transat +bebe)')) AND sk.ssrubr_id='803' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 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 = 228 AND ss.ssrubr_id <> 803 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

37. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='803' AND actu_niveau=0 ORDER BY actu_ordre DESC

38. 0.0001

    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 (228) ORDER BY ssrubr_order ASC

41. 0.0012

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

42. 0.0234

    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. 0.0175

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

43 requetes sql en 0.0669