Location taille haie à 63430 Martres-d'artière

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='materiel-jardinage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=88

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='63'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='63430' AND ville_nom like '%martres%d%artiere%' 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 '%taille%haie%' OR ssrubr_title like '%taille%haie%' OR ssrubr_slug like '%taille%haie%') AND cate_id='88' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0004

    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='63430'

12. 0.0027

    SELECT ville_cp, ROUND((((acos(sin((45.835*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.835*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.26139- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.655135678816 AND ville_latitude_deg<46.014864321184 AND ville_longitude_deg>3.0032334953105 AND ville_longitude_deg<3.5195465046895 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='taille haie'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='88'AND MATCH (wish_title,wish_desc) AGAINST ('+taille haie*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '63430%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=88

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='taille haie' OR ssrubr_slug='taille-haie' OR (ssrubr_title like '%taille haie%')) AND cate_id='88' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='taille-haie' AND cate_id='88'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='63430'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((45.835*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.835*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.26139- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.655135678816 AND ville_latitude_deg<46.014864321184 AND ville_longitude_deg>3.0032334953105 AND ville_longitude_deg<3.5195465046895 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0056

    SELECT ville_cp, ROUND((((acos(sin((45.835*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.835*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.26139- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.385339197041 AND ville_latitude_deg<46.284660802959 AND ville_longitude_deg>2.6159931729687 AND ville_longitude_deg<3.9067868270313 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0545

    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((45.835*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.835*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.26139- 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='88' AND MATCH (wish_desc) AGAINST ('(+taille +haie*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (63430,63430,63720,63360,63116,63430,63720,63510,63720,63350,63190,63360,63350,63190,63910,63350,63111,63720,63910,63510,63370,63360,63910,63720,63190,63800,63117,63115,63160,63800,63190,63200,63350,63720,63720,63160,63800,63720,63350,63160,63190,63670,63720,63118,63119,63350,63200,63200,63190,63112,63200,63170,63160,63350,63190,63350,63260,63170,63190,63200,63160,63100,63000,63800,63260,63530,63730,63800,63830,63310,63200,63160,63310,63110,63400,63200,63670,63200,63200,63530,63830,63540,63160,63270,63200,63160,63200,63290,63260,63160,63200,63140,63730,63530,63670,63300,63130,63960,63290,63260,63310,63270,63160,63200,63270,63122,63530,63460,63730,63450,63200,63460,63290,63870,63920) 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 = 26234 AND W.type_id = 1) OR (W.util_id <> 26234 AND W.type_id = 2)) AND (M.post_util_id = 26234 OR M.dest_util_id = 26234) 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=26234 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 = 46117 AND W.type_id = 1) OR (W.util_id <> 46117 AND W.type_id = 2)) AND (M.post_util_id = 46117 OR M.dest_util_id = 46117) 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=46117 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 = 82139 AND W.type_id = 1) OR (W.util_id <> 82139 AND W.type_id = 2)) AND (M.post_util_id = 82139 OR M.dest_util_id = 82139) 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=82139 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 = 144810 AND W.type_id = 1) OR (W.util_id <> 144810 AND W.type_id = 2)) AND (M.post_util_id = 144810 OR M.dest_util_id = 144810) 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=144810 AND note_visu IN (1,3,4)

30. 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 = 185411 AND W.type_id = 1) OR (W.util_id <> 185411 AND W.type_id = 2)) AND (M.post_util_id = 185411 OR M.dest_util_id = 185411) 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=185411 AND note_visu IN (1,3,4)

32. 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 = 259419 AND W.type_id = 1) OR (W.util_id <> 259419 AND W.type_id = 2)) AND (M.post_util_id = 259419 OR M.dest_util_id = 259419) 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=259419 AND note_visu IN (1,3,4)

34. 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 = 231817 AND W.type_id = 1) OR (W.util_id <> 231817 AND W.type_id = 2)) AND (M.post_util_id = 231817 OR M.dest_util_id = 231817) 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=231817 AND note_visu IN (1,3,4)

36. 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 = 349457 AND W.type_id = 1) OR (W.util_id <> 349457 AND W.type_id = 2)) AND (M.post_util_id = 349457 OR M.dest_util_id = 349457) 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=349457 AND note_visu IN (1,3,4)

38. 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 = 359542 AND W.type_id = 1) OR (W.util_id <> 359542 AND W.type_id = 2)) AND (M.post_util_id = 359542 OR M.dest_util_id = 359542) 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=359542 AND note_visu IN (1,3,4)

40. 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 = 525274 AND W.type_id = 1) OR (W.util_id <> 525274 AND W.type_id = 2)) AND (M.post_util_id = 525274 OR M.dest_util_id = 525274) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

41. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=525274 AND note_visu IN (1,3,4)

42. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='63430'

43. 0.002

    SELECT ville_cp, ROUND((((acos(sin((45.835*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.835*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.26139- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.655135678816 AND ville_latitude_deg<46.014864321184 AND ville_longitude_deg>3.0032334953105 AND ville_longitude_deg<3.5195465046895 HAVING distance <= 20 ORDER BY distance ASC

44. 0.0055

    SELECT ville_cp, ROUND((((acos(sin((45.835*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.835*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.26139- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.385339197041 AND ville_latitude_deg<46.284660802959 AND ville_longitude_deg>2.6159931729687 AND ville_longitude_deg<3.9067868270313 HAVING distance <= 50 ORDER BY distance ASC

45. 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 (14)

46. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (82139,26234,525274,46117,359542,185411,231817,144810,259419,349457)

47. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (82139,26234,525274,46117,359542,185411,231817,144810,259419,349457)

48. 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=88 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

49. 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='taille haie' OR ssrubr_slug like '%taille haie%' OR MATCH (ssrubr_slug) AGAINST ('(+taille +haie)')) AND sk.ssrubr_id='14' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

50. 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 = 5 AND ss.cate_id = 88 AND ss.ssrubr_id <> 14 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

51. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='14' AND actu_niveau=0 ORDER BY actu_ordre DESC

52. 0

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

53. 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

54. 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 (88) ORDER BY ssrubr_order ASC

55. 0.0016

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

56. 0.0226

    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'

57. 0.0185

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

57 requetes sql en 0.1219