Location four à 91830 Le coudray-montceaux

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 CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('91' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91830' AND ville_nom like '%le%coudray%montceaux%' 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. 0.002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%four%' OR ssrubr_title like '%four%' OR ssrubr_slug like '%four%') 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='91830'

12. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5667*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>48.386835678816 AND ville_latitude_deg<48.746564321184 AND ville_longitude_deg>2.2281976004443 AND ville_longitude_deg<2.7718023995557 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='four'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='207'AND MATCH (wish_title,wish_desc) AGAINST ('+four*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '91830%'

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='four' OR ssrubr_slug='four' OR (ssrubr_title like '%four%')) 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='four' AND cate_id='207'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91830'

19. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5667*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>48.386835678816 AND ville_latitude_deg<48.746564321184 AND ville_longitude_deg>2.2281976004443 AND ville_longitude_deg<2.7718023995557 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0075

    SELECT ville_cp, ROUND((((acos(sin((48.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5667*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>48.117039197041 AND ville_latitude_deg<49.016360802959 AND ville_longitude_deg>1.8204881416267 AND ville_longitude_deg<3.1795118583733 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0565

    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((48.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5667*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='5' AND cate_id='207' AND MATCH (wish_desc) AGAINST ('(+four*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91830,91830,91250,91250,91100,91830,77240,91100,91540,91540,77310,77176,91280,91250,77176,77310,91750,91750,91090,77240,91540,91250,91750,77310,91540,91450,91000,91090,77127,77350,77240,77550,91080,77550,91610,91810,91450,77930,91710,91070,77350,77350,77930,91000,91130,91590,77930,91840,91480,77190,77190,77380,91890,77930,77950,91700,77950,91350,77930,77000,77000,91770,91860,91480,91800,91490,91590,77550,91760,77950,77930,91630,77166,91170,91700,91210,77000,91590,91220,91220,77550,77000,91630,91800,77950,77950,77630,91490,91490,94520,94520,91230,91590,91260,77170,77630,91600,91390,91850,91270,77111,91240,91360,91330,94440,91560,91820,91630,91290,91630,77950,91700,94440,77590,91360,91590,91310,77630,77170,94480,77166,91590,77390,91510,91510,91820,91200,91630,77111,77170,77590,91290,94450,91310,91310,91490,91180,77390,77115,91720,94190,94440,91310,91420,91550,91160,91590,91620,94290,91730) 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 = 313810 AND W.type_id = 1) OR (W.util_id <> 313810 AND W.type_id = 2)) AND (M.post_util_id = 313810 OR M.dest_util_id = 313810) 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=313810 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 = 309482 AND W.type_id = 1) OR (W.util_id <> 309482 AND W.type_id = 2)) AND (M.post_util_id = 309482 OR M.dest_util_id = 309482) 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=309482 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 = 346122 AND W.type_id = 1) OR (W.util_id <> 346122 AND W.type_id = 2)) AND (M.post_util_id = 346122 OR M.dest_util_id = 346122) 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=346122 AND note_visu IN (1,3,4)

28. 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 = 346929 AND W.type_id = 1) OR (W.util_id <> 346929 AND W.type_id = 2)) AND (M.post_util_id = 346929 OR M.dest_util_id = 346929) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=346929 AND note_visu IN (1,3,4)

30. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91830'

31. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((48.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5667*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>48.386835678816 AND ville_latitude_deg<48.746564321184 AND ville_longitude_deg>2.2281976004443 AND ville_longitude_deg<2.7718023995557 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0057

    SELECT ville_cp, ROUND((((acos(sin((48.5667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5667*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>48.117039197041 AND ville_latitude_deg<49.016360802959 AND ville_longitude_deg>1.8204881416267 AND ville_longitude_deg<3.1795118583733 HAVING distance <= 50 ORDER BY distance ASC

33. 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 (840,844,688,677)

34. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (346122,313810,309482,346929)

35. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (346122,313810,309482,346929)

36. 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='four' OR ssrubr_slug like '%four%' OR MATCH (ssrubr_slug) AGAINST ('(+four)')) AND sk.ssrubr_id='839' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

37. 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 <> 839 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

38. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='839' AND actu_niveau=0 ORDER BY actu_ordre DESC

39. 0.0001

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

40. 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

41. 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

42. 0.0012

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

43. 0.0233

    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'

44. 0.0199

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

44 requetes sql en 0.1269