Location plat paella à 78150 Le chesnay

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='electromenager'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=207

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='78'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78150' AND ville_nom like '%le%chesnay%' 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. 0.0021

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%plat%a%paella%' OR ssrubr_title like '%plat%a%paella%' OR ssrubr_slug like '%plat%a%paella%') AND cate_id='207' 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='78150'

12. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>1.8434241866782 AND ville_longitude_deg<2.3899158133218 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='plat paella; plat a paella'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='207'AND MATCH (wish_title,wish_desc) AGAINST ('+plat paella; plat a paella*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '78150%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=207

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='plat paella; plat a paella' OR ssrubr_slug='plat-paella;-plat-a-paella' OR (ssrubr_title like '%plat paella; plat a paella%')) AND cate_id='207' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='plat-a-paella' AND cate_id='207'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78150'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>1.8434241866782 AND ville_longitude_deg<2.3899158133218 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0072

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.383639197041 AND ville_latitude_deg<49.282960802959 AND ville_longitude_deg>1.4335495760945 AND ville_longitude_deg<2.7997904239055 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0608

    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((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.11667- 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='207' AND MATCH (wish_desc) AGAINST ('(+plat +paella; +plat +a +paella*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (78150,78150,78150,78170,78870,78430,78000,78290,78380,78590,92430,92420,78160,78590,92380,78620,78210,78220,78330,78560,92410,78400,78750,78140,92310,78112,92370,78450,92210,78110,78530,78350,78230,78860,78100,78390,92500,78350,78280,78117,92150,92800,92360,92190,78360,78180,78240,92000,92100,78340,78450,78190,78240,78960,78420,78800,92130,78117,78600,78810,92140,91400,78114,91570,78470,78300,92400,92250,92200,92350,78370,91430,92320,91190,91190,78600,92290,95870,91430,78470,92260,78990,92330,92170,92700,78630,92240,78500,92220,78810,92300,78955,92270,91370,78121,78850,92120,78470,92600,91440,78260,78320,92110,78670,78670,91400,95530,78460,78320,78640,78640,94250,92340,95100,91120,94110,92160,78310,91300,91940,91190,78700,78760,94235,94234,94233,94232,94231,94240,94230,94236,94237,94238,94239,75002,75003,75116,75020,75001,75019,75018,75017,75010,75013,75014,75007,75011,75009,75008,75006,75005,75004,75012,75016,75015,75000,78570,78720,78640,91940,78580,78310,94260,78720,91470,95370,92230,78630,93400,78540,91140,95110,95240,78570,78320,78460,78640,94270,78650,91160,91400,78580,94550,94800,78510,95130,91140,91940,91470,95220,78780,93800,78124,78490,95210,95218,78480,78720,93450,92390,91320,78690,94150,78920,94205,94200,78124,95120,91160,78130,91160,91380) 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 = 305635 AND W.type_id = 1) OR (W.util_id <> 305635 AND W.type_id = 2)) AND (M.post_util_id = 305635 OR M.dest_util_id = 305635) 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=305635 AND note_visu IN (1,3,4)

24. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78150'

25. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>1.8434241866782 AND ville_longitude_deg<2.3899158133218 HAVING distance <= 20 ORDER BY distance ASC

26. 0.0092

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.383639197041 AND ville_latitude_deg<49.282960802959 AND ville_longitude_deg>1.4335495760945 AND ville_longitude_deg<2.7997904239055 HAVING distance <= 50 ORDER BY distance ASC

27. 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 (840)

28. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (305635)

29. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (305635)

30. 0.0003

    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=207 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

31. 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='plat paella; plat a paella' OR ssrubr_slug like '%plat paella; plat a paella%' OR MATCH (ssrubr_slug) AGAINST ('(+plat +paella; +plat +a +paella)')) AND sk.ssrubr_id='840' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

32. 0.0004

    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 = 207 AND ss.ssrubr_id <> 840 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

33. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='840' AND actu_niveau=0 ORDER BY actu_ordre DESC

34. 0.0001

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

35. 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

36. 0.0004

    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 (207) ORDER BY ssrubr_order ASC

37. 0.0016

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

38. 0.0284

    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'

39. 0.0214

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

39 requetes sql en 0.1437