Service garde chat à 35440 Montreuil-sur-ille

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='garde-d-animaux'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=45

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('35' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='35440' AND ville_nom like '%montreuil%sur%ille%' 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 '%chat%' OR ssrubr_title like '%chat%' OR ssrubr_slug like '%chat%') AND cate_id='45' 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='35440'

12. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((48.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-1.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.153435678816 AND ville_latitude_deg<48.513164321184 AND ville_longitude_deg>-1.9038859831573 AND ville_longitude_deg<-1.3627740168427 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='chat'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='45'AND MATCH (wish_title,wish_desc) AGAINST ('+chat*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '35440%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=45

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='chat' OR ssrubr_slug='chat' OR (ssrubr_title like '%chat%')) AND cate_id='45' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='chat' AND cate_id='45'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='35440'

19. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((48.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-1.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.153435678816 AND ville_latitude_deg<48.513164321184 AND ville_longitude_deg>-1.9038859831573 AND ville_longitude_deg<-1.3627740168427 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0039

    SELECT ville_cp, ROUND((((acos(sin((48.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-1.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.883639197041 AND ville_latitude_deg<48.782960802959 AND ville_longitude_deg>-2.3097257905074 AND ville_longitude_deg<-0.95693420949263 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0544

    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((48.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-1.63333- 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='45' AND MATCH (wish_desc) AGAINST ('(+chat*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (35440,35440,35250,35440,35250,35560,35490,35560,35440,35440,35270,35250,35270,22270,35560,35490,35250,35250,35560,35250,35490,35520,35490,35250,35270,35270,35630,35250,35270,35250,35490,35340,35140,35520,35140,35630,35120,35190,35270,35460,35140,35520,35630,35140,35190,22980,35340,35270,35630,35630,35630,35830,35560,35850,35460,35190,35460,35630,35560,35270,35630,35190,35850,35460,35610,35140,35120,35190,35720,35190,22230) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (53035,240125,289698,311246,319897,513886,538432)

23. 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 = 53035 AND W.type_id = 1) OR (W.util_id <> 53035 AND W.type_id = 2)) AND (M.post_util_id = 53035 OR M.dest_util_id = 53035) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=53035 AND note_visu IN (1,3,4)

25. 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 = 240125 AND W.type_id = 1) OR (W.util_id <> 240125 AND W.type_id = 2)) AND (M.post_util_id = 240125 OR M.dest_util_id = 240125) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=240125 AND note_visu IN (1,3,4)

27. 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 = 289698 AND W.type_id = 1) OR (W.util_id <> 289698 AND W.type_id = 2)) AND (M.post_util_id = 289698 OR M.dest_util_id = 289698) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=289698 AND note_visu IN (1,3,4)

29. 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 = 311246 AND W.type_id = 1) OR (W.util_id <> 311246 AND W.type_id = 2)) AND (M.post_util_id = 311246 OR M.dest_util_id = 311246) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

30. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=311246 AND note_visu IN (1,3,4)

31. 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 = 319897 AND W.type_id = 1) OR (W.util_id <> 319897 AND W.type_id = 2)) AND (M.post_util_id = 319897 OR M.dest_util_id = 319897) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

32. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=319897 AND note_visu IN (1,3,4)

33. 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 = 513886 AND W.type_id = 1) OR (W.util_id <> 513886 AND W.type_id = 2)) AND (M.post_util_id = 513886 OR M.dest_util_id = 513886) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

34. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=513886 AND note_visu IN (1,3,4)

35. 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 = 538432 AND W.type_id = 1) OR (W.util_id <> 538432 AND W.type_id = 2)) AND (M.post_util_id = 538432 OR M.dest_util_id = 538432) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=538432 AND note_visu IN (1,3,4)

37. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='35440'

38. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((48.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-1.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.153435678816 AND ville_latitude_deg<48.513164321184 AND ville_longitude_deg>-1.9038859831573 AND ville_longitude_deg<-1.3627740168427 HAVING distance <= 20 ORDER BY distance ASC

39. 0.0039

    SELECT ville_cp, ROUND((((acos(sin((48.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-1.63333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>47.883639197041 AND ville_latitude_deg<48.782960802959 AND ville_longitude_deg>-2.3097257905074 AND ville_longitude_deg<-0.95693420949263 HAVING distance <= 50 ORDER BY distance ASC

40. 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 (953,1016,950,951)

41. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (513886,53035,311246,319897,538432,289698,240125)

42. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (513886,53035,311246,319897,538432,289698,240125)

43. 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='chat' OR ssrubr_slug like '%chat%' OR MATCH (ssrubr_slug) AGAINST ('(+chat)')) AND sk.ssrubr_id='950' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 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 = 45 AND ss.ssrubr_id <> 950 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='950' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0

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

47. 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='3' AND cate_cate_id IS NULL ORDER BY cate_order ASC

48. 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 (45) ORDER BY ssrubr_order ASC

49. 0.0011

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

50. 0.0243

    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'

51. 0.018

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

51 requetes sql en 0.1155