Location transat bébé à 94140 Alfortville

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

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=228

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='94'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='94140' AND ville_nom like '%alfortville%' 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. 0.0001

   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='94140'

12. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.41667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>2.1436056388795 AND ville_longitude_deg<2.6897343611205 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

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

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='228'AND MATCH (wish_title,wish_desc) AGAINST ('+transat; transat bebe*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '94140%'

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='94140'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.41667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>2.1436056388795 AND ville_longitude_deg<2.6897343611205 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0065

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.41667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.350339197041 AND ville_latitude_deg<49.249660802959 AND ville_longitude_deg>1.7340032105093 AND ville_longitude_deg<3.0993367894907 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0243

    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((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.41667- 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 MATCH (wish_desc) AGAINST ('(+transat; +transat +bebe*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94140,94140,94700,94220,94400,94200,94205,94410,94800,94160,94600,94000,94340,94270,94320,94390,94310,94300,94110,94100,94340,94210,94380,94550,94130,94240,94239,94238,94236,94237,94230,94250,94231,94232,94233,94234,94235,94460,94430,94120,94150,93170,94290,93100,94500,92120,94190,92340,94360,94170,75009,75010,75012,75013,75007,75008,75001,75006,75005,75004,75003,75002,75000,75014,75015,75016,75017,75011,75018,75116,75019,75020,92220,92240,94450,93110,94260,94470,94480,92170,94380,94370,93260,93230,93310,91200,91560,91320,92320,94880,94880,94490,92260,92330,91550,93130,93330,92160,93360,94350,92140,91330,93250,91270,92350,94420,92130,93500,93000,91230,92290,93140,91300,94440,93160,91370,94510,93220,94440,93400,91800,91420,92100,92190,92360,91210,93120,93300,91260,93460,93340,93320,77340,92110,91160,91380,92200,94440,77420,77184,92300,94520,94520,93350,91860,93150,91170,93700,77185,92150,92800,91120,77170,92210,93210,93200,91800,91390,91600,93370,91160,92600,91570,92370,92310,93450,91360,92390,92400,93390,93190,77500,91430,77150,92250,91140,91360,91130,91000,93440,92410,77186,91350,91450,93240,92270,91160,78140,77680,92230,93270,91480,91480,77150,91430,92380,91160,77181,93470,92700,77200,92420,92430,93600,78220,92500,77177,93410,93430,77380,93800,95140,95500,77360,77090,77183,91140,78350,77330,91090,91000,91700,93380,91450,91700,95360,92000,91250,91700,77181,77170,91400,95880,91620) 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 = 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 <> ''

23. 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)

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 = 253654 AND W.type_id = 1) OR (W.util_id <> 253654 AND W.type_id = 2)) AND (M.post_util_id = 253654 OR M.dest_util_id = 253654) 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=253654 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 = 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 <> ''

27. 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)

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 = 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 <> ''

29. 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)

30. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94140'

31. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.41667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>2.1436056388795 AND ville_longitude_deg<2.6897343611205 HAVING distance <= 20 ORDER BY distance ASC

32. 0.006

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.41667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.350339197041 AND ville_latitude_deg<49.249660802959 AND ville_longitude_deg>1.7340032105093 AND ville_longitude_deg<3.0993367894907 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 (803)

34. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (296709,329026,238041,253654)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (296709,329026,238041,253654)

36. 0.001

    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=228 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

37. 0.001

    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

38. 0.0014

    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

39. 0.0005

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

40. 0.0005

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

41. 0.0008

    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. 0.001

    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

43. 0.0033

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

44. 0.0336

    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. 0.0186

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

45 requetes sql en 0.1097