Service espace vert à 77450 Montry

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. 0.0002

   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='77450' AND ville_nom like '%montry%' 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. 0.0001

   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. 0.0003

    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. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='77450'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>2.559628272488 AND ville_longitude_deg<3.107031727512 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

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

14. 0.0004

    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 '77450%'

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='77450'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>2.559628272488 AND ville_longitude_deg<3.107031727512 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0068

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.467039197041 AND ville_latitude_deg<49.366360802959 AND ville_longitude_deg>2.1490697807905 AND ville_longitude_deg<3.5175902192095 HAVING distance <= 50 ORDER BY distance ASC

21. 0.039

    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((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- 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='38' AND MATCH (wish_desc) AGAINST ('(+entretien +espace +vert*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (77450,77450,77450,77450,77450,77100,77700,77450,77860,77410,77450,77860,77124,77100,77450,77860,77450,77410,77100,77580,77700,77700,77144,77124,77580,77470,77410,77580,77580,77580,77410,77124,77400,77144,77410,77124,77700,77580,77410,77470,77400,77580,77470,77470,77400,77700,77600,77470,77580,77165,77165,77400,77410,77910,77165,77600,77470,77600,77163,77122,77174,77410,77400,77174,77470,77400,77910,77910,77165,77410,77600,77600,77400,77910,77580,77165,77600,77230,77163,77410,77580,77410,77230,77139,77230,77660,77230,77164,77440,77360,77580,77515,77580,77165,77165,77139,77177,77290,77440,77183,77090,77200,77230,77660,77181,77270,77163,77230,77135,77440,77120,77186,77230,77610,77178,77178,77139,77220,77640,77515,77500,77290,77440,77139,77515,77181,93470,77440,77440,77440,77440,77185,77120,77230,77420,77260,77260,77680,60440,77610,77230,77610,77230,93290,77515,77184,60330,77230,93410,77260,93370) 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 = 111061 AND W.type_id = 1) OR (W.util_id <> 111061 AND W.type_id = 2)) AND (M.post_util_id = 111061 OR M.dest_util_id = 111061) 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=111061 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 = 198537 AND W.type_id = 1) OR (W.util_id <> 198537 AND W.type_id = 2)) AND (M.post_util_id = 198537 OR M.dest_util_id = 198537) 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=198537 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 = 208473 AND W.type_id = 1) OR (W.util_id <> 208473 AND W.type_id = 2)) AND (M.post_util_id = 208473 OR M.dest_util_id = 208473) 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=208473 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 = 229694 AND W.type_id = 1) OR (W.util_id <> 229694 AND W.type_id = 2)) AND (M.post_util_id = 229694 OR M.dest_util_id = 229694) 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=229694 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 = 289088 AND W.type_id = 1) OR (W.util_id <> 289088 AND W.type_id = 2)) AND (M.post_util_id = 289088 OR M.dest_util_id = 289088) 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=289088 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 = 319639 AND W.type_id = 1) OR (W.util_id <> 319639 AND W.type_id = 2)) AND (M.post_util_id = 319639 OR M.dest_util_id = 319639) 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=319639 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 = 337042 AND W.type_id = 1) OR (W.util_id <> 337042 AND W.type_id = 2)) AND (M.post_util_id = 337042 OR M.dest_util_id = 337042) 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=337042 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 = 439838 AND W.type_id = 1) OR (W.util_id <> 439838 AND W.type_id = 2)) AND (M.post_util_id = 439838 OR M.dest_util_id = 439838) 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=439838 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 = 301908 AND W.type_id = 1) OR (W.util_id <> 301908 AND W.type_id = 2)) AND (M.post_util_id = 301908 OR M.dest_util_id = 301908) 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=301908 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 = 525639 AND W.type_id = 1) OR (W.util_id <> 525639 AND W.type_id = 2)) AND (M.post_util_id = 525639 OR M.dest_util_id = 525639) 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=525639 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='77450'

43. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>2.559628272488 AND ville_longitude_deg<3.107031727512 HAVING distance <= 20 ORDER BY distance ASC

44. 0.0062

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.467039197041 AND ville_latitude_deg<49.366360802959 AND ville_longitude_deg>2.1490697807905 AND ville_longitude_deg<3.5175902192095 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 (532,527)

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 (525639,229694,198537,111061,337042,439838,289088,301908,319639,208473)

47. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (525639,229694,198537,111061,337042,439838,289088,301908,319639,208473)

48. 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

49. 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

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 = 3 AND ss.cate_id = 38 AND ss.ssrubr_id <> 532 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

51. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='532' 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. 0.0002

    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

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 (38) ORDER BY ssrubr_order ASC

55. 0.0011

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

56. 0.024

    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. 0.0175

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

57 requetes sql en 0.1072