Service modèle photo à 94140 Alfortville

1. 0.0002

   SELECT cate_id FROM category WHERE fami_id='3' AND cate_title_slug='services-divers'

2. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=229

3. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='94'

4. 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

5. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%modele%photo%' OR ssrubr_title like '%modele%photo%' OR ssrubr_slug like '%modele%photo%') AND cate_id='229' ORDER BY ssrubr_id LIMIT 0,1

6. 0.0001

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

7. 0.0023

   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

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='modèle photo'

9. 0.0011

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='229'AND MATCH (wish_title,wish_desc) AGAINST ('+modèle photo*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '94140%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=229

11. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='modèle photo' OR ssrubr_slug='modèle-photo' OR (ssrubr_title like '%modèle photo%')) AND cate_id='229' ORDER BY ssrubr_id LIMIT 0,1

12. 0.0001

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

13. 0.0002

    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='3' AND cate_cate_id IS NULL ORDER BY cate_order ASC

14. 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 (229) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='modele-photo' AND cate_id='229'

16. 0

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

17. 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

18. 0.0053

    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

19. 0.0594

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='3' AND cate_id='229' AND MATCH (wish_desc) AGAINST ('(+modèle +photo*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94140,94140,94700,94220,94400,94205,94200,94410,94800,94600,94160,94340,94000,94270,94320,94390,94310,94300,94110,94100,94340,94210,94380,94550,94130,94240,94230,94235,94233,94239,94238,94231,94237,94236,94232,94234,94250,94460,94430,94120,94150,94290,93170,93100,92120,94500,94190,92340,94360,94170,75011,75007,75010,75009,75004,75012,75005,75018,75017,75019,75116,75003,75002,75013,75006,75000,75001,75016,75015,75014,75020,75008,92220,92240,93110,94450,94470,94260,94480,94370,92170,94380,93310,91200,93230,93260,91560,91320,92320,94880,92260,92330,94490,94880,93130,91550,93330,92160,93360,94350,92140,91330,93250,91270,92130,94420,92350,93500,93000,91230,92290,93140,94440,91300,93160,91370,94510,93220,94440,93400,91800,91420,92100,92360,92190,91210,91260,93300,93120,93460,93320,93340,77340,92110,91160,91380,92200,94440,77420,77184,92300,94520,94520,93350,91860,93700,93150,91170,77185,92150,77170,91120,92800,92210,93210,93200,91800,91600,91390,93370,91160,92600,91570,92370,92310,93450,91360,92390,92400,93190,93390,77500,91430,77150,92250,91140,91360,91000,91130,93440,92410,77186,93240,91350,91450,92270,91160,77680,78140,92230,93270,91480,91480,77150,91430,92380,91160,93470,77181,92700,77200,92430,92420,93600,78220,77177,92500,93410,93430,77380,93800,95140,95500,77360,77090,77183,91140,78350,77330,91090,91000,91700,91450,91700,93380,95360,92000,91250,91700,77181,77170,91400,95880,91620)

20. 0.0588

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, 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='3' AND cate_id='229' AND MATCH (wish_desc) AGAINST ('(+modèle +photo*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94140,94140,94700,94220,94400,94205,94200,94410,94800,94600,94160,94340,94000,94270,94320,94390,94310,94300,94110,94100,94340,94210,94380,94550,94130,94240,94230,94235,94233,94239,94238,94231,94237,94236,94232,94234,94250,94460,94430,94120,94150,94290,93170,93100,92120,94500,94190,92340,94360,94170,75011,75007,75010,75009,75004,75012,75005,75018,75017,75019,75116,75003,75002,75013,75006,75000,75001,75016,75015,75014,75020,75008,92220,92240,93110,94450,94470,94260,94480,94370,92170,94380,93310,91200,93230,93260,91560,91320,92320,94880,92260,92330,94490,94880,93130,91550,93330,92160,93360,94350,92140,91330,93250,91270,92130,94420,92350,93500,93000,91230,92290,93140,94440,91300,93160,91370,94510,93220,94440,93400,91800,91420,92100,92360,92190,91210,91260,93300,93120,93460,93320,93340,77340,92110,91160,91380,92200,94440,77420,77184,92300,94520,94520,93350,91860,93700,93150,91170,77185,92150,77170,91120,92800,92210,93210,93200,91800,91600,91390,93370,91160,92600,91570,92370,92310,93450,91360,92390,92400,93190,93390,77500,91430,77150,92250,91140,91360,91000,91130,93440,92410,77186,93240,91350,91450,92270,91160,77680,78140,92230,93270,91480,91480,77150,91430,92380,91160,93470,77181,92700,77200,92430,92420,93600,78220,77177,92500,93410,93430,77380,93800,95140,95500,77360,77090,77183,91140,78350,77330,91090,91000,91700,91450,91700,93380,95360,92000,91250,91700,77181,77170,91400,95880,91620) AND type_id=1 GROUP BY wish_id

21. 0.0001

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

22. 0.0018

    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

23. 0.0053

    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

24. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 1568 AND W.type_id = 1) OR (W.util_id != 1568 AND W.type_id = 2)) AND (`post_util_id` = 1568 OR `dest_util_id` = 1568) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=1568 AND note_visu IN (1,3,4)

26. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 134348 AND W.type_id = 1) OR (W.util_id != 134348 AND W.type_id = 2)) AND (`post_util_id` = 134348 OR `dest_util_id` = 134348) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=134348 AND note_visu IN (1,3,4)

28. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo 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='1004' LIMIT 0,1

29. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 1568 AND W.type_id = 1) OR (W.util_id != 1568 AND W.type_id = 2)) AND (`post_util_id` = 1568 OR `dest_util_id` = 1568) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

30. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 1568

31. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo 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='1002' LIMIT 0,1

32. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 134348 AND W.type_id = 1) OR (W.util_id != 134348 AND W.type_id = 2)) AND (`post_util_id` = 134348 OR `dest_util_id` = 134348) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

33. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 134348

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=229 AND ss.fami_id=3 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='modèle photo' OR ssrubr_slug like '%modèle photo%' OR MATCH (ssrubr_slug) AGAINST ('(+modèle +photo)')) AND sk.ssrubr_id='1004' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1004' AND actu_niveau=0 ORDER BY actu_ordre DESC

37. 0.0011

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

38. 0

    SELECT count(*) as nbwish FROM wish

39. 0.0473

    SELECT note.*, post.util_prenom as postp, post.util_nom as postn, dest.util_prenom as destp, dest.util_nom as destn, w.wish_id, w.wish_desc, w.fami_id FROM note, util_info dest, util_info post, wish w WHERE note.wish_id=w.wish_id AND note.post_util_id=post.util_id AND note.dest_util_id=dest.util_id AND note_visu IN (1,2,3,4) AND post_util_id<>'7' ORDER BY note_date DESC, note_hour DESC

39 requetes sql en 0.188