Service nettoyer toiture à 95230 Soisy-sous-montmorency

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='menage-repassage'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=47

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='95'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95230' AND ville_nom like '%soisy%sous%montmorency%' 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 '%nettoyage%toiture%' OR ssrubr_title like '%nettoyage%toiture%' OR ssrubr_slug like '%nettoyage%toiture%') AND cate_id='47' 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='95230'

12. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.803435678816 AND ville_latitude_deg<49.163164321184 AND ville_longitude_deg>2.0259326854937 AND ville_longitude_deg<2.5740673145063 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='nettoyage toiture'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='47'AND MATCH (wish_title,wish_desc) AGAINST ('+nettoyage toiture*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95230%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=47

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='nettoyage toiture' OR ssrubr_slug='nettoyage-toiture' OR (ssrubr_title like '%nettoyage toiture%')) AND cate_id='47' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='nettoyage-toiture' AND cate_id='47'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95230'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.803435678816 AND ville_latitude_deg<49.163164321184 AND ville_longitude_deg>2.0259326854937 AND ville_longitude_deg<2.5740673145063 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0168

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.533639197041 AND ville_latitude_deg<49.432960802959 AND ville_longitude_deg>1.6148258054235 AND ville_longitude_deg<2.9851741945765 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0511

    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((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- 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='47' AND MATCH (wish_desc) AGAINST ('(+nettoyage +toiture*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95230,95230,95580,95580,95218,95210,95880,95600,95120,95170,95160,95410,93800,95680,95360,95110,93430,95390,95130,95100,93380,95350,95130,95320,95350,92230,93450,92390,95330,95400,95200,93200,93210,93240,95440,95240,95460,95570,92270,95560,95570,92600,95250,95550,95150,95870,95840,92700,95570,95400,95370,95530,95140,92110,95560,93440,78500,92300,95560,93300,93120,93400,95740,95500,95220,92250,95720,93350,92400,95720,78800,95480,95720,95840,95500,95590,95560,78420,92200,78600,93500,92000,95540,95720,95570,93150,93700,95500,95270,95190,95190,78360,95630,95430,93310,92500,95850,95430,95270,95500,78600,92150,92800,95270,75007,75116,75006,75004,75020,75005,75017,75008,75015,75013,75012,75011,75019,75010,75016,75009,75014,75003,75002,75000,75001,75018,95190,93000,78700,93260,93230,95590,95760,95610,95310,93140,93170,95850,95290,95380,78400,95700,95620,93100,93600,95380,78110,95300,93130,95270,92170,95590,95260,95260,95270,92210,95270,95270,78570,95660,92100,95270,95270,78780,78260,93420,95300,78230,95270,78560,95000,95270,94300,95300,95270,78380,78290,95000,92380,93270,93320,93340,78100,95670,93250,78170,92240,95380,92120,95470,93110,78430,92130,94250,95340,95690,94160,92430,92420,95380,78300,94270,92410,78750,95520,78570,94205,94200,95300,95380,93390,93190,95280,78955,92310,92360,92190,95690,94120) AND type_id=1 GROUP BY wish_id

22. 0.0003

    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 = 450020 AND W.type_id = 1) OR (W.util_id <> 450020 AND W.type_id = 2)) AND (M.post_util_id = 450020 OR M.dest_util_id = 450020) 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=450020 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 = 344133 AND W.type_id = 1) OR (W.util_id <> 344133 AND W.type_id = 2)) AND (M.post_util_id = 344133 OR M.dest_util_id = 344133) 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=344133 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='95230'

27. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.803435678816 AND ville_latitude_deg<49.163164321184 AND ville_longitude_deg>2.0259326854937 AND ville_longitude_deg<2.5740673145063 HAVING distance <= 20 ORDER BY distance ASC

28. 0.0147

    SELECT ville_cp, ROUND((((acos(sin((48.9833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.533639197041 AND ville_latitude_deg<49.432960802959 AND ville_longitude_deg>1.6148258054235 AND ville_longitude_deg<2.9851741945765 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 (1213)

30. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (344133,450020)

31. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (344133,450020)

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=47 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

33. 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='nettoyage toiture' OR ssrubr_slug like '%nettoyage toiture%' OR MATCH (ssrubr_slug) AGAINST ('(+nettoyage +toiture)')) AND sk.ssrubr_id='1213' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

34. 0.0001

    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 = 47 AND ss.ssrubr_id <> 1213 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

35. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1213' AND actu_niveau=0 ORDER BY actu_ordre DESC

36. 0

    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 (47) ORDER BY ssrubr_order ASC

39. 0.001

    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. 0.0167

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

41 requetes sql en 0.141