Service toilettage chien à 91330 Yerres

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 filtre_dpt='91'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91330' AND ville_nom like '%yerres%' 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 '%toilettage%chien%' OR ssrubr_title like '%toilettage%chien%' OR ssrubr_slug like '%toilettage%chien%') AND cate_id='45' 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. 0.0003

    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='91330'

12. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>2.227388085411 AND ville_longitude_deg<2.772611914589 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='toilettage; toilettage chien'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='45'AND MATCH (wish_title,wish_desc) AGAINST ('+toilettage; toilettage chien*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '91330%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=45

16. 0.0001

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='toilettage; toilettage chien' OR ssrubr_slug='toilettage;-toilettage-chien' OR (ssrubr_title like '%toilettage; toilettage chien%')) 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='toilettage-chien' AND cate_id='45'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91330'

19. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>2.227388085411 AND ville_longitude_deg<2.772611914589 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0062

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.267039197041 AND ville_latitude_deg<49.166360802959 AND ville_longitude_deg>1.8184643365919 AND ville_longitude_deg<3.1815356634081 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0617

    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((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- 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 ('(+toilettage; +toilettage +chien*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91330,91330,91800,94450,94440,91560,94470,91860,94520,94520,94440,91230,94190,94460,91800,94440,94380,94370,91480,94380,94480,77170,91480,94290,91270,91210,91200,77380,94000,94310,94390,94880,94880,94600,94490,91450,77150,94210,94100,94340,91250,91260,77170,94430,91450,94510,91000,91130,91550,77150,91090,77127,91000,94320,91170,94400,94700,94140,91280,94500,91250,91350,94340,94410,94150,77340,77166,94420,77173,94550,91600,91390,91320,91420,94220,77166,91250,94130,94360,91100,91080,77550,77330,91360,94800,94350,91700,94260,77184,94205,94200,91070,94235,94236,94238,94231,94234,94237,94233,94232,94239,94240,94230,94160,91090,77680,91360,91160,91380,94270,94170,94120,92340,93330,92160,91100,94110,91700,77111,77185,77550,93160,94300,77176,77170,91300,91700,94250,77420,77550,91830,91250,93110,93360,91160,77220,91160,77135,92220,91240,91540,91540,93100,93460,92120,91220,77550,91220,91370,91160,92260,92330,77111,77186,93170,77176,77183,77090,92290,91540,77240,91120,77220,92320,92240,91310,91140,77200,93250,92350,91620,93220,93130,77390,77240,77240,77164,93230,93260,77950,91810,92140,91310,91310,92170,75016,75015,75017,75018,75019,75020,75116,75014,75013,75001,75000,75002,75004,75005,75006,75007,75008,75012,75011,75003,75009,75010,77220,77220,91140,93310,77500,91540,77360,77600) 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 = 150159 AND W.type_id = 1) OR (W.util_id <> 150159 AND W.type_id = 2)) AND (M.post_util_id = 150159 OR M.dest_util_id = 150159) 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=150159 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 = 496277 AND W.type_id = 1) OR (W.util_id <> 496277 AND W.type_id = 2)) AND (M.post_util_id = 496277 OR M.dest_util_id = 496277) 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=496277 AND note_visu IN (1,3,4)

26. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91330'

27. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>2.227388085411 AND ville_longitude_deg<2.772611914589 HAVING distance <= 20 ORDER BY distance ASC

28. 0.008

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.267039197041 AND ville_latitude_deg<49.166360802959 AND ville_longitude_deg>1.8184643365919 AND ville_longitude_deg<3.1815356634081 HAVING distance <= 50 ORDER BY distance ASC

29. 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 (1215,1016)

30. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (496277,150159)

31. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (496277,150159)

32. 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=45 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

33. 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='toilettage; toilettage chien' OR ssrubr_slug like '%toilettage; toilettage chien%' OR MATCH (ssrubr_slug) AGAINST ('(+toilettage; +toilettage +chien)')) AND sk.ssrubr_id='1215' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

34. 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 <> 1215 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

35. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1215' AND actu_niveau=0 ORDER BY actu_ordre DESC

36. 0.0001

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

37. 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

38. 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

39. 0.0009

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

40. 0.0271

    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'

41. 0.0261

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

41 requetes sql en 0.1426