Location box sécurisé à 59491 Villeneuve-d'ascq

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='box-stockage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=79

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='59'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59491' AND ville_nom like '%villeneuve%d%ascq%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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 '%stockage%box%securise%' OR ssrubr_title like '%stockage%box%securise%' OR ssrubr_slug like '%stockage%box%securise%') AND cate_id='79' 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='59491'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((50.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.14167- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.503435678816 AND ville_latitude_deg<50.863164321184 AND ville_longitude_deg>2.8577956302334 AND ville_longitude_deg<3.4255443697666 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='sécurisé; stockage box securise'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='79'AND MATCH (wish_title,wish_desc) AGAINST ('+sécurisé; stockage box securise*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59491%'

15. 0.0009

    SELECT * FROM texte WHERE cate_id=79

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='sécurisé; stockage box securise' OR ssrubr_slug='sécurisé;-stockage-box-securise' OR (ssrubr_title like '%sécurisé; stockage box securise%')) AND cate_id='79' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='stockage-box-securise' AND cate_id='79'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59491'

19. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((50.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.14167- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.503435678816 AND ville_latitude_deg<50.863164321184 AND ville_longitude_deg>2.8577956302334 AND ville_longitude_deg<3.4255443697666 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((50.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.14167- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.233639197041 AND ville_latitude_deg<51.132960802959 AND ville_longitude_deg>2.4319779558533 AND ville_longitude_deg<3.8513620441467 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0394

    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((50.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.14167- 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='79' AND MATCH (wish_desc) AGAINST ('(+sécurisé; +stockage +box +securise*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59491,59650,59491,59655,59493,59170,59290,59420,59100,59910,59200,59700,59370,59390,59520,59510,59390,59150,59510,59110,7712,59118,59390,59250,59126,59223,59390,59350,59960,59260,59115,59160,59800,59777,59350,59000,7700,59130,59780,7730,7730,59152,7700,7730,59790,59237,59152,59152,59166,59840,59890,59152,7520,7730,59262,59810,8930,59117,59830,59120,7730,59780,8511,59155,7730,7711,59840,8510,7730,8930,59560,8930,59139,59160,7522,8940,7780,7780,59273,8560,59320,7522,59780,59320,59320,7740,59175,59830,59840,7522,59139,7520,8510,59175,59320,7740,59890,59320,7743,8510,8940,59273,59320,59830,59560,59236,8510,7522,7784,59830,8587,59830,7784,7742,7743,59116,59830,59263,59211,59320,59320,7503,59113,59710,7502,8587,59242,8501,7781,59930,7501,59710,59830,59242,59320,8554,8560,7504,8587,59280,8500,8560,8980,7783,59134,7610,8501,7542,59147,59280,59242,59710,7540,8890,7782,7506,59147,7500,8880,8957,7760,7500,59551,59134,8902,8980,8550) 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 = 78002 AND W.type_id = 1) OR (W.util_id <> 78002 AND W.type_id = 2)) AND (M.post_util_id = 78002 OR M.dest_util_id = 78002) 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=78002 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 = 153448 AND W.type_id = 1) OR (W.util_id <> 153448 AND W.type_id = 2)) AND (M.post_util_id = 153448 OR M.dest_util_id = 153448) 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=153448 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 = 170959 AND W.type_id = 1) OR (W.util_id <> 170959 AND W.type_id = 2)) AND (M.post_util_id = 170959 OR M.dest_util_id = 170959) 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=170959 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 = 496237 AND W.type_id = 1) OR (W.util_id <> 496237 AND W.type_id = 2)) AND (M.post_util_id = 496237 OR M.dest_util_id = 496237) 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=496237 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='59491'

31. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((50.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.14167- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.503435678816 AND ville_latitude_deg<50.863164321184 AND ville_longitude_deg>2.8577956302334 AND ville_longitude_deg<3.4255443697666 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0066

    SELECT ville_cp, ROUND((((acos(sin((50.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.14167- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.233639197041 AND ville_latitude_deg<51.132960802959 AND ville_longitude_deg>2.4319779558533 AND ville_longitude_deg<3.8513620441467 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 (511,509,512)

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 (153448,170959,78002,496237)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (153448,170959,78002,496237)

36. 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=79 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

37. 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='sécurisé; stockage box securise' OR ssrubr_slug like '%sécurisé; stockage box securise%' OR MATCH (ssrubr_slug) AGAINST ('(+sécurisé; +stockage +box +securise)')) AND sk.ssrubr_id='514' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 0.0003

    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 = 79 AND ss.ssrubr_id <> 514 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='514' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0.0001

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

41. 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

42. 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 (79) ORDER BY ssrubr_order ASC

43. 0.001

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

44. 0.0247

    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'

45. 0.018

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

45 requetes sql en 0.1085