Service poncage parquet à 95460 ézanville

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

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

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='95'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95460' AND ville_nom like '%ezanville%' 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 '%poncage%parquet%' OR ssrubr_title like '%poncage%parquet%' OR ssrubr_slug like '%poncage%parquet%') AND cate_id='47' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   SHOW TABLES LIKE 'pays'

9. 0.0003

   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='95460'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((49.0333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.853435678816 AND ville_latitude_deg<49.213164321184 AND ville_longitude_deg>2.0923273344263 AND ville_longitude_deg<2.6410126655737 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='poncage parquet'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='47'AND MATCH (wish_title,wish_desc) AGAINST ('+poncage parquet*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95460%'

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='poncage parquet' OR ssrubr_slug='poncage-parquet' OR (ssrubr_title like '%poncage parquet%')) 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='poncage-parquet' AND cate_id='47'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95460'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((49.0333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.853435678816 AND ville_latitude_deg<49.213164321184 AND ville_longitude_deg>2.0923273344263 AND ville_longitude_deg<2.6410126655737 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0161

    SELECT ville_cp, ROUND((((acos(sin((49.0333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.583639197041 AND ville_latitude_deg<49.482960802959 AND ville_longitude_deg>1.6808074218189 AND ville_longitude_deg<3.0525325781811 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0503

    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((49.0333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.36667- 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 ('(+poncage +parquet*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95460,95460,95350,95440,95570,95330,95720,95570,95720,95350,95400,95200,95160,95720,95570,95560,95720,95570,95270,95410,95170,95580,95580,95850,95560,95190,95680,95400,95560,95270,95190,95600,95230,93380,95360,95270,95190,95390,95560,95500,95590,95850,95500,95880,95140,93430,95320,95840,95500,95120,95380,95500,93240,95210,95270,95218,95270,95270,95380,93440,95270,93800,95270,95840,95130,95270,95590,95550,95150,95740,95270,93200,93210,95270,95670,95130,95470,95110,95270,93450,92390,95700,93350,95590,92230,95380,95250,95100,93700,93150,95260,95540,93300,93120,95260,95630,95380,95430,95240,95290,95380,60260,95660,95760,93420,95620,93600,95370,95480,92600,92270,95340,60820,60580,93400,93500,95430,95470,95220,95820,95470,95530,92700,60560,95870,95470,92110,95340,77990,92300,93000,78500,60520,93270,93140,93310,60270,60230,92250,77990,92400,93260,93230,95690,77230,60128,93290,60530,78800,93130,92200,78600,95310,77230,93410,95340,93320,93340,60460,95300,60520,93190,93390,78420,93170,77290,93100,60530,92000,95690,93250,75000,75003,75009,75004,75001,75005,75002,75006,75007,75020,75116,75015,75018,75017,75016,75014,75013,75012,75011,75010,75008,75019,60128,77230,95690,95300,95610,95300,60500,60530) 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 = 370809 AND W.type_id = 1) OR (W.util_id <> 370809 AND W.type_id = 2)) AND (M.post_util_id = 370809 OR M.dest_util_id = 370809) 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=370809 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 = 440319 AND W.type_id = 1) OR (W.util_id <> 440319 AND W.type_id = 2)) AND (M.post_util_id = 440319 OR M.dest_util_id = 440319) 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=440319 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='95460'

27. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((49.0333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.853435678816 AND ville_latitude_deg<49.213164321184 AND ville_longitude_deg>2.0923273344263 AND ville_longitude_deg<2.6410126655737 HAVING distance <= 20 ORDER BY distance ASC

28. 0.0146

    SELECT ville_cp, ROUND((((acos(sin((49.0333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.583639197041 AND ville_latitude_deg<49.482960802959 AND ville_longitude_deg>1.6808074218189 AND ville_longitude_deg<3.0525325781811 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 (1214)

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 (440319,370809)

31. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (440319,370809)

32. 0.0001

    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='poncage parquet' OR ssrubr_slug like '%poncage parquet%' OR MATCH (ssrubr_slug) AGAINST ('(+poncage +parquet)')) AND sk.ssrubr_id='1214' 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 <> 1214 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

35. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1214' 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. 0.0001

    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. 0.0009

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

40. 0.028

    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. 0.0182

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

41 requetes sql en 0.1391