Service secrétariat à 90400 Danjoutin

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='3' AND cate_title_slug='services-divers'

3. 0.0001

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

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='90'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='90400' AND ville_nom like '%danjoutin%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0007

   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 '%secretariat%' OR ssrubr_title like '%secretariat%' OR ssrubr_slug like '%secretariat%') AND cate_id='229' 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='90400'

12. 0.002

    SELECT ville_cp, ROUND((((acos(sin((47.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.403435678816 AND ville_latitude_deg<47.763164321184 AND ville_longitude_deg>6.5666733293126 AND ville_longitude_deg<7.0999866706874 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='secretariat'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='229'AND MATCH (wish_title,wish_desc) AGAINST ('+secretariat*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '90400%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=229

16. 0.0002

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

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='secretariat' AND cate_id='229'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='90400'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((47.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.403435678816 AND ville_latitude_deg<47.763164321184 AND ville_longitude_deg>6.5666733293126 AND ville_longitude_deg<7.0999866706874 HAVING distance <= 20 ORDER BY distance ASC

20. 0.008

    SELECT ville_cp, ROUND((((acos(sin((47.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.133639197041 AND ville_latitude_deg<48.032960802959 AND ville_longitude_deg>6.1666825747284 AND ville_longitude_deg<7.4999774252716 HAVING distance <= 50 ORDER BY distance ASC

21. 0.1232

    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((47.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.83333- 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 ('(+secretariat*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (90400,90400,90400,90700,90400,90800,90800,90400,90400,90400,90800,90850,70400,90400,25600,90400,70400,90400,70400,90800,25200,90850,25600,90000,25200,25600,70400,70400,90400,90140,70400,25600,25600,90300,90160,25490,70400,90140,70400,70400,25200,90340,70400,90120,90120,25550,25490,90140,70400,25400,25550,25400,90300,90340,90140,25460,25550,90160,25420,70400,90300,90140,70400,90340,25550,90300,25630,90350,70400,90160,25750,90600,25750,25400,25490,90380,70400,25550,25400,70400,90300,90140,25750,25550,70400,90130,25550,90150,90150,25490,25550,25420,70400,25230,90130,90100,90150,90100,90500,25700,90300,90300,90130,25230,25550,70400,90150,70400,90150,25113,90150,90150,90100,25750,90100,90100,90100,25420,25230,70400,90500,25420,25750,70400,90330,25230,90150,90170,25420,25350,70400,90200,68210,68210,70400,90150,90150,25260,90100,90110,25260,90150,90100,68210,90170,90100,68210,90110,90100,90170,70290,70200,70200,90200,90100,2926,90200,25310,25700,25260,90110,90100,90100,68210,90150,70290,25310,68210,90110,25260,25150,90200,25310,90200,90150,25250,25310,70200,25250,2925,90100,70400,70250,90150,25310,25150,25250,70400,70200,70200,25250,70200,90200,90100,90110,25250,25250,68210,90100) 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 = 78168 AND W.type_id = 1) OR (W.util_id <> 78168 AND W.type_id = 2)) AND (M.post_util_id = 78168 OR M.dest_util_id = 78168) 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=78168 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 = 131341 AND W.type_id = 1) OR (W.util_id <> 131341 AND W.type_id = 2)) AND (M.post_util_id = 131341 OR M.dest_util_id = 131341) 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=131341 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 = 329745 AND W.type_id = 1) OR (W.util_id <> 329745 AND W.type_id = 2)) AND (M.post_util_id = 329745 OR M.dest_util_id = 329745) 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=329745 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 = 538445 AND W.type_id = 1) OR (W.util_id <> 538445 AND W.type_id = 2)) AND (M.post_util_id = 538445 OR M.dest_util_id = 538445) 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=538445 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='90400'

31. 0.002

    SELECT ville_cp, ROUND((((acos(sin((47.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.403435678816 AND ville_latitude_deg<47.763164321184 AND ville_longitude_deg>6.5666733293126 AND ville_longitude_deg<7.0999866706874 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0066

    SELECT ville_cp, ROUND((((acos(sin((47.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((47.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((6.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.133639197041 AND ville_latitude_deg<48.032960802959 AND ville_longitude_deg>6.1666825747284 AND ville_longitude_deg<7.4999774252716 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 (1134)

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 (131341,78168,538445,329745)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (131341,78168,538445,329745)

36. 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=229 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

37. 0.0001

    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='secretariat' OR ssrubr_slug like '%secretariat%' OR MATCH (ssrubr_slug) AGAINST ('(+secretariat)')) AND sk.ssrubr_id='1134' 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 = 3 AND ss.cate_id = 229 AND ss.ssrubr_id <> 1134 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1134' 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. 0.0002

    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

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 (229) ORDER BY ssrubr_order ASC

43. 0.001

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

44. 0.035

    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. 0.0188

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

45 requetes sql en 0.2041