Location numérique à 91290 Arpajon

1. 0.0001

   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-audiovisuel'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=232

4. 0

   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='91290' AND ville_nom like '%arpajon%' 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. 0.0013

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%appareil%photo%numerique%' OR ssrubr_title like '%appareil%photo%numerique%' OR ssrubr_slug like '%appareil%photo%numerique%') AND cate_id='232' 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. 0.0002

    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='91290'

12. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((48.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5833*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>48.403435678816 AND ville_latitude_deg<48.763164321184 AND ville_longitude_deg>1.9947783424089 AND ville_longitude_deg<2.5385616575911 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='appareil photo numerique'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='232'AND MATCH (wish_title,wish_desc) AGAINST ('+appareil photo numerique*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '91290%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=232

16. 0.0001

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='appareil photo numerique' OR ssrubr_slug='appareil-photo-numerique' OR (ssrubr_title like '%appareil photo numerique%')) AND cate_id='232' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='appareil-photo-numerique' AND cate_id='232'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91290'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5833*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>48.403435678816 AND ville_latitude_deg<48.763164321184 AND ville_longitude_deg>1.9947783424089 AND ville_longitude_deg<2.5385616575911 HAVING distance <= 20 ORDER BY distance ASC

20. 0.007

    SELECT ville_cp, ROUND((((acos(sin((48.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5833*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>48.133639197041 AND ville_latitude_deg<49.032960802959 AND ville_longitude_deg>1.5869349946139 AND ville_longitude_deg<2.9464050053861 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0288

    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((48.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5833*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='232' AND MATCH (wish_desc) AGAINST ('(+appareil +photo +numerique*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91290,91290,91290,91630,91180,91630,91630,91520,91340,91630,91310,91630,91790,91220,91220,91680,91310,91310,91310,91460,91730,91240,91650,91510,91770,91700,91510,91620,91810,91650,91850,91620,91700,91710,91730,91730,91910,91650,91680,91760,91700,91070,91160,91640,91360,91540,91580,91580,91080,91360,91540,91610,91530,91600,91390,91590,91160,91640,91090,91350,91640,91580,91140,91640,91530,91580,91940,91540,91540,91170,91590,91470,91160,91580,91590,91140,91940,91160,91380,91000,91130,91580,91750,91590,91100,91420,91260,91400,91590,91400,91000,91090,91530,91470,91190,91940,91530,91590,91120,91440,91450,91470,91750,91150,91590,91210,91590,91450,91100,91250,91550,91300,91880,91830,91270,91430,91250,91250,91830,91410,91430,91320,91470,91280,78830,91470,91200,91190,91150,91890,91250,91410,91820,91400,91820,94480,91190,91370,92160,78470,91230,91870,91150,94260,91570,91410,91470,91750,94150,78830,94290) 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 = 148223 AND W.type_id = 1) OR (W.util_id <> 148223 AND W.type_id = 2)) AND (M.post_util_id = 148223 OR M.dest_util_id = 148223) 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=148223 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 = 187658 AND W.type_id = 1) OR (W.util_id <> 187658 AND W.type_id = 2)) AND (M.post_util_id = 187658 OR M.dest_util_id = 187658) 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=187658 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 = 220596 AND W.type_id = 1) OR (W.util_id <> 220596 AND W.type_id = 2)) AND (M.post_util_id = 220596 OR M.dest_util_id = 220596) 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=220596 AND note_visu IN (1,3,4)

28. 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 = 276598 AND W.type_id = 1) OR (W.util_id <> 276598 AND W.type_id = 2)) AND (M.post_util_id = 276598 OR M.dest_util_id = 276598) 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=276598 AND note_visu IN (1,3,4)

30. 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 = 128030 AND W.type_id = 1) OR (W.util_id <> 128030 AND W.type_id = 2)) AND (M.post_util_id = 128030 OR M.dest_util_id = 128030) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=128030 AND note_visu IN (1,3,4)

32. 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 = 296712 AND W.type_id = 1) OR (W.util_id <> 296712 AND W.type_id = 2)) AND (M.post_util_id = 296712 OR M.dest_util_id = 296712) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=296712 AND note_visu IN (1,3,4)

34. 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 = 339283 AND W.type_id = 1) OR (W.util_id <> 339283 AND W.type_id = 2)) AND (M.post_util_id = 339283 OR M.dest_util_id = 339283) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=339283 AND note_visu IN (1,3,4)

36. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91290'

37. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5833*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>48.403435678816 AND ville_latitude_deg<48.763164321184 AND ville_longitude_deg>1.9947783424089 AND ville_longitude_deg<2.5385616575911 HAVING distance <= 20 ORDER BY distance ASC

38. 0.0073

    SELECT ville_cp, ROUND((((acos(sin((48.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5833*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>48.133639197041 AND ville_latitude_deg<49.032960802959 AND ville_longitude_deg>1.5869349946139 AND ville_longitude_deg<2.9464050053861 HAVING distance <= 50 ORDER BY distance ASC

39. 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 (643)

40. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (187658,339283,220596,276598,148223,128030,296712)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (187658,339283,220596,276598,148223,128030,296712)

42. 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='appareil photo numerique' OR ssrubr_slug like '%appareil photo numerique%' OR MATCH (ssrubr_slug) AGAINST ('(+appareil +photo +numerique)')) AND sk.ssrubr_id='643' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

43. 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 = 232 AND ss.ssrubr_id <> 643 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

44. 0.0004

    SELECT * FROM actu WHERE ssrubr_id='643' AND actu_niveau=0 ORDER BY actu_ordre DESC

45. 0.0001

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

46. 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

47. 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 (232) ORDER BY ssrubr_order ASC

48. 0.0017

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

49. 0.0382

    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'

50. 0.0287

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

50 requetes sql en 0.1249