Service espace vert à 77000 Livry-sur-seine

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='jardinage'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=38

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='77'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='77000' AND ville_nom like '%livry%sur%seine%' 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 '%entretien%espace%vert%' OR ssrubr_title like '%entretien%espace%vert%' OR ssrubr_slug like '%entretien%espace%vert%') AND cate_id='38' 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='77000'

12. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((48.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.68333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.336835678816 AND ville_latitude_deg<48.696564321184 AND ville_longitude_deg>2.4117959585847 AND ville_longitude_deg<2.9548640414153 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='entretien espace vert'

14. 0.0012

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='38'AND MATCH (wish_title,wish_desc) AGAINST ('+entretien espace vert*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '77000%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=38

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='entretien espace vert' OR ssrubr_slug='entretien-espace-vert' OR (ssrubr_title like '%entretien espace vert%')) AND cate_id='38' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='entretien-espace-vert' AND cate_id='38'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77000'

19. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((48.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.68333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.336835678816 AND ville_latitude_deg<48.696564321184 AND ville_longitude_deg>2.4117959585847 AND ville_longitude_deg<2.9548640414153 HAVING distance <= 20 ORDER BY distance ASC

20. 0.005

    SELECT ville_cp, ROUND((((acos(sin((48.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.68333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.067039197041 AND ville_latitude_deg<48.966360802959 AND ville_longitude_deg>2.004489042763 AND ville_longitude_deg<3.362170957237 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0413

    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((48.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.68333- 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='38' AND MATCH (wish_desc) AGAINST ('(+entretien +espace +vert*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (77000,77000,77000,77000,77000,77190,77950,77590,77350,77350,77950,77115,77950,77950,77590,77590,77190,77350,77240,77950,77950,77240,77310,77310,77820,77820,77920,77115,77176,77930,77630,77850,77310,77930,77390,77550,77390,77240,77930,77870,77550,77550,77720,77176,77720,77133,77390,77210,77930,77820,77630,77550,77930,77300,77210,77133,77720,77930,77390,91750,77390,77630,91830,91250,77111,91830,77810,77111,77720,77830,77430,77390,91840,77166,77390,77127,91250,77720,77170,77390,91750,77720,91100,77830,91280,77720,91490,77670,91250,91490,91750,77166,91100,77670,77390,91250,77380,77250,77760,91490,77170,77390,91540,91540,91890,77250,77720,77370,91590,91480) 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 = 70894 AND W.type_id = 1) OR (W.util_id <> 70894 AND W.type_id = 2)) AND (M.post_util_id = 70894 OR M.dest_util_id = 70894) 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=70894 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 = 107355 AND W.type_id = 1) OR (W.util_id <> 107355 AND W.type_id = 2)) AND (M.post_util_id = 107355 OR M.dest_util_id = 107355) 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=107355 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 = 232750 AND W.type_id = 1) OR (W.util_id <> 232750 AND W.type_id = 2)) AND (M.post_util_id = 232750 OR M.dest_util_id = 232750) 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=232750 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 = 209891 AND W.type_id = 1) OR (W.util_id <> 209891 AND W.type_id = 2)) AND (M.post_util_id = 209891 OR M.dest_util_id = 209891) 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=209891 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 = 71897 AND W.type_id = 1) OR (W.util_id <> 71897 AND W.type_id = 2)) AND (M.post_util_id = 71897 OR M.dest_util_id = 71897) 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=71897 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 = 370739 AND W.type_id = 1) OR (W.util_id <> 370739 AND W.type_id = 2)) AND (M.post_util_id = 370739 OR M.dest_util_id = 370739) 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=370739 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 = 483271 AND W.type_id = 1) OR (W.util_id <> 483271 AND W.type_id = 2)) AND (M.post_util_id = 483271 OR M.dest_util_id = 483271) 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=483271 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 = 515832 AND W.type_id = 1) OR (W.util_id <> 515832 AND W.type_id = 2)) AND (M.post_util_id = 515832 OR M.dest_util_id = 515832) 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=515832 AND note_visu IN (1,3,4)

38. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77000'

39. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((48.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.68333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.336835678816 AND ville_latitude_deg<48.696564321184 AND ville_longitude_deg>2.4117959585847 AND ville_longitude_deg<2.9548640414153 HAVING distance <= 20 ORDER BY distance ASC

40. 0.005

    SELECT ville_cp, ROUND((((acos(sin((48.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.68333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.067039197041 AND ville_latitude_deg<48.966360802959 AND ville_longitude_deg>2.004489042763 AND ville_longitude_deg<3.362170957237 HAVING distance <= 50 ORDER BY distance ASC

41. 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 (532,527)

42. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (107355,71897,232750,209891,370739,70894,483271,515832)

43. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (107355,71897,232750,209891,370739,70894,483271,515832)

44. 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=38 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

45. 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='entretien espace vert' OR ssrubr_slug like '%entretien espace vert%' OR MATCH (ssrubr_slug) AGAINST ('(+entretien +espace +vert)')) AND sk.ssrubr_id='532' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 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 = 38 AND ss.ssrubr_id <> 532 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='532' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0.0001

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

49. 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

50. 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 (38) ORDER BY ssrubr_order ASC

51. 0.0017

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

52. 0.0252

    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'

53. 0.0256

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

53 requetes sql en 0.115