Location autolaveuse à 92130 Issy-les-moulineaux

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='5' AND cate_title_slug='materiel-nettoyage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=110

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='92'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92130' AND ville_nom like '%issy%les%moulineaux%' 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 '%autolaveuse%' OR ssrubr_title like '%autolaveuse%' OR ssrubr_slug like '%autolaveuse%') AND cate_id='110' 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='92130'

12. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>1.9935146819952 AND ville_longitude_deg<2.5398253180048 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='autolaveuse'

14. 0.0009

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='110'AND MATCH (wish_title,wish_desc) AGAINST ('+autolaveuse*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '92130%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=110

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='autolaveuse' OR ssrubr_slug='autolaveuse' OR (ssrubr_title like '%autolaveuse%')) AND cate_id='110' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='autolaveuse' AND cate_id='110'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92130'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>1.9935146819952 AND ville_longitude_deg<2.5398253180048 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.367039197041 AND ville_latitude_deg<49.266360802959 AND ville_longitude_deg>1.5837758163378 AND ville_longitude_deg<2.9495641836622 HAVING distance <= 50 ORDER BY distance ASC

21. 0.059

    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((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- 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='5' AND cate_id='110' AND MATCH (wish_desc) AGAINST ('(+autolaveuse*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92130,92130,92140,92360,92190,92100,92320,92240,92170,92220,92120,92350,92260,92330,92210,94250,92310,92370,94110,92290,92410,92340,92150,92800,94240,94230,94235,94233,94237,94236,94238,94239,94234,94232,94231,78140,92380,92420,92430,94270,92200,91370,75018,75016,75116,75012,75017,75019,75020,75010,75004,75013,75001,75000,75002,75003,75005,75007,75008,75009,75011,75014,75006,75015,78220,94800,92160,94550,94260,91570,94205,94200,92500,92400,78350,78170,92250,92300,91300,92110,94150,78000,91430,94320,78150,94400,93400,92000,91430,91320,92600,94220,92270,94160,78150,94140,91120,92700,78290,78380,78350,78530,78400,91400,78800,93310,94390,94310,78430,93170,94600,94700,78420,94300,91160,91140,92230,91380,91160,78560,78117,91550,93100,93500,95870,92390,93450,91420,78870,93120,93300,78360,94410,93260,93230,91400,78110,94290,78160,93200,93210,94340,78210,91190,91200,91160,95100,91440,91140,78590,94000,93800,78230,78750,78117,94480,91190,78620,78280,78330,78590,94130,78500,94120,78100,93000,94190,93130,78112,94460,91940,93430,95110,95218,91160,95210,93110,78600,94380,93350,91270,95880,91360,93240,78600,91260,94210,94100,94340,93140,78114,91360,91560,94170,78960,95360,95530,91190,91600,91390,91940,78180,93380,91940,94500,78450,78470,94360,94450,78390,94430,93440,91210,95120,91620,93250,93150,93700,78860,78470,95230,91230,95130,91700,91620,91170,93360,95170,95240,78240,95370,95410,94470,93330,78190,95140,91400) 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 = 88775 AND W.type_id = 1) OR (W.util_id <> 88775 AND W.type_id = 2)) AND (M.post_util_id = 88775 OR M.dest_util_id = 88775) 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=88775 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 = 429944 AND W.type_id = 1) OR (W.util_id <> 429944 AND W.type_id = 2)) AND (M.post_util_id = 429944 OR M.dest_util_id = 429944) 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=429944 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 = 341165 AND W.type_id = 1) OR (W.util_id <> 341165 AND W.type_id = 2)) AND (M.post_util_id = 341165 OR M.dest_util_id = 341165) 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=341165 AND note_visu IN (1,3,4)

28. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92130'

29. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>1.9935146819952 AND ville_longitude_deg<2.5398253180048 HAVING distance <= 20 ORDER BY distance ASC

30. 0.0065

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.367039197041 AND ville_latitude_deg<49.266360802959 AND ville_longitude_deg>1.5837758163378 AND ville_longitude_deg<2.9495641836622 HAVING distance <= 50 ORDER BY distance ASC

31. 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 (1075)

32. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (429944,341165,88775)

33. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (429944,341165,88775)

34. 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=110 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

35. 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='autolaveuse' OR ssrubr_slug like '%autolaveuse%' OR MATCH (ssrubr_slug) AGAINST ('(+autolaveuse)')) AND sk.ssrubr_id='1075' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 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 = 5 AND ss.cate_id = 110 AND ss.ssrubr_id <> 1075 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

37. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1075' AND actu_niveau=0 ORDER BY actu_ordre DESC

38. 0

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

39. 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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

40. 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 (110) ORDER BY ssrubr_order ASC

41. 0.0009

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

42. 0.0227

    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'

43. 0.0183

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

43 requetes sql en 0.1261