Service pose cuisine à 31140 Pechbonnieu

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='bricolage'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=50

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='31'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='31140' AND ville_nom like '%pechbonnieu%' 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 '%pose%de%cuisine%' OR ssrubr_title like '%pose%de%cuisine%' OR ssrubr_slug like '%pose%de%cuisine%') AND cate_id='50' 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. 0.0002

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='31140'

12. 0.0015

    SELECT ville_cp, ROUND((((acos(sin((43.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.503435678816 AND ville_latitude_deg<43.863164321184 AND ville_longitude_deg>1.2012825573621 AND ville_longitude_deg<1.6987174426379 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='pose cuisine; pose de cuisine'

14. 0.001

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='50'AND MATCH (wish_title,wish_desc) AGAINST ('+pose cuisine; pose de cuisine*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '31140%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=50

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='pose cuisine; pose de cuisine' OR ssrubr_slug='pose-cuisine;-pose-de-cuisine' OR (ssrubr_title like '%pose cuisine; pose de cuisine%')) AND cate_id='50' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='pose-de-cuisine' AND cate_id='50'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='31140'

19. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((43.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.503435678816 AND ville_latitude_deg<43.863164321184 AND ville_longitude_deg>1.2012825573621 AND ville_longitude_deg<1.6987174426379 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0067

    SELECT ville_cp, ROUND((((acos(sin((43.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.233639197041 AND ville_latitude_deg<44.132960802959 AND ville_longitude_deg>0.82820103158386 AND ville_longitude_deg<2.0717989684161 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0954

    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((43.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.45- 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='50' AND MATCH (wish_desc) AGAINST ('(+pose +cuisine; +pose +de +cuisine*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (31140,31140,31140,31140,31140,31780,31180,31240,31140,31140,31620,31150,31150,31240,31140,31380,31180,31180,31620,31150,31850,31150,31180,31700,31700,31150,31620,31380,31790,31840,31790,31130,31130,31400,31090,31000,31200,31100,31300,31500,31043,31004,31340,31620,31700,31380,31380,31380,31840,31850,31770,31620,31330,31590,31130,31380,31280,31380,31620,31130,31380,31590,31590,31700,31380,31170,31820,31380,31520,31280,31590,31380,31330,31530,31700,31650,31330,31620,31620,31340,31320,31590,31340,31590,31570,31650,31650,31490,31830,31280,31380,31270,31670,31530,31340,31340,31320,31320,31320,31490,31660,31330,31570,31880,31120,31530,31620,31320,82170,31340,31120,31660,81800,31570) AND type_id=1 GROUP BY wish_id

22. 0.0003

    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 = 125356 AND W.type_id = 1) OR (W.util_id <> 125356 AND W.type_id = 2)) AND (M.post_util_id = 125356 OR M.dest_util_id = 125356) 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=125356 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 = 127641 AND W.type_id = 1) OR (W.util_id <> 127641 AND W.type_id = 2)) AND (M.post_util_id = 127641 OR M.dest_util_id = 127641) 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=127641 AND note_visu IN (1,3,4)

26. 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 = 161826 AND W.type_id = 1) OR (W.util_id <> 161826 AND W.type_id = 2)) AND (M.post_util_id = 161826 OR M.dest_util_id = 161826) 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=161826 AND note_visu IN (1,3,4)

28. 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 = 217029 AND W.type_id = 1) OR (W.util_id <> 217029 AND W.type_id = 2)) AND (M.post_util_id = 217029 OR M.dest_util_id = 217029) 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=217029 AND note_visu IN (1,3,4)

30. 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 = 301750 AND W.type_id = 1) OR (W.util_id <> 301750 AND W.type_id = 2)) AND (M.post_util_id = 301750 OR M.dest_util_id = 301750) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=301750 AND note_visu IN (1,3,4)

32. 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 = 3839 AND W.type_id = 1) OR (W.util_id <> 3839 AND W.type_id = 2)) AND (M.post_util_id = 3839 OR M.dest_util_id = 3839) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=3839 AND note_visu IN (1,3,4)

34. 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 = 331353 AND W.type_id = 1) OR (W.util_id <> 331353 AND W.type_id = 2)) AND (M.post_util_id = 331353 OR M.dest_util_id = 331353) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=331353 AND note_visu IN (1,3,4)

36. 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 = 497613 AND W.type_id = 1) OR (W.util_id <> 497613 AND W.type_id = 2)) AND (M.post_util_id = 497613 OR M.dest_util_id = 497613) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=497613 AND note_visu IN (1,3,4)

38. 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 = 549579 AND W.type_id = 1) OR (W.util_id <> 549579 AND W.type_id = 2)) AND (M.post_util_id = 549579 OR M.dest_util_id = 549579) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

39. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=549579 AND note_visu IN (1,3,4)

40. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='31140'

41. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((43.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.503435678816 AND ville_latitude_deg<43.863164321184 AND ville_longitude_deg>1.2012825573621 AND ville_longitude_deg<1.6987174426379 HAVING distance <= 20 ORDER BY distance ASC

42. 0.0051

    SELECT ville_cp, ROUND((((acos(sin((43.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.45- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>43.233639197041 AND ville_latitude_deg<44.132960802959 AND ville_longitude_deg>0.82820103158386 AND ville_longitude_deg<2.0717989684161 HAVING distance <= 50 ORDER BY distance ASC

43. 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 (604,596,595)

44. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (331353,497613,217029,3839,301750,549579,125356,127641,161826)

45. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (331353,497613,217029,3839,301750,549579,125356,127641,161826)

46. 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=50 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

47. 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='pose cuisine; pose de cuisine' OR ssrubr_slug like '%pose cuisine; pose de cuisine%' OR MATCH (ssrubr_slug) AGAINST ('(+pose +cuisine; +pose +de +cuisine)')) AND sk.ssrubr_id='604' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

48. 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 = 3 AND ss.cate_id = 50 AND ss.ssrubr_id <> 604 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

49. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='604' AND actu_niveau=0 ORDER BY actu_ordre DESC

50. 0.0001

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

51. 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

52. 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 (50) ORDER BY ssrubr_order ASC

53. 0.0011

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

54. 0.0356

    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'

55. 0.0217

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

55 requetes sql en 0.179