Location box sécurisé à 59810 Lesquin

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='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='59810' AND ville_nom like '%lesquin%' 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. 0.0002

   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. 0.0001

   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='59810'

12. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.403435678816 AND ville_latitude_deg<50.763164321184 AND ville_longitude_deg>2.8333988798432 AND ville_longitude_deg<3.3999411201568 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 '59810%'

15. 0.0001

    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='59810'

19. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.403435678816 AND ville_latitude_deg<50.763164321184 AND ville_longitude_deg>2.8333988798432 AND ville_longitude_deg<3.3999411201568 HAVING distance <= 20 ORDER BY distance ASC

20. 0.017

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.133639197041 AND ville_latitude_deg<51.032960802959 AND ville_longitude_deg>2.4084860928827 AND ville_longitude_deg<3.8248539071173 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0366

    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((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.11667- 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='79' AND MATCH (wish_desc) AGAINST ('(+sécurisé; +stockage +box +securise*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59810,59810,59790,59262,59155,59260,59273,59273,59175,59830,59139,59175,59710,59710,59152,59152,59370,59000,59800,59777,59350,59160,59242,59830,59113,59139,59510,59152,59830,59710,59120,59152,59242,59110,59320,59263,59551,59242,59830,59710,59780,59510,59130,59551,59170,59290,59700,59830,59780,59320,59780,59350,59147,59320,59133,59390,59239,59830,59520,59147,59147,59830,59650,59655,59493,59491,59235,59320,59246,59390,59211,59320,59390,59133,59118,59239,59390,59840,7522,59261,59310,7522,59160,59112,59320,59251,59310,59420,59910,62820,59310,7502,7520,59100,59320,59320,7610,59237,59840,59310,7522,59840,7730,59112,59134,59136,7611,59115,59320,59272,7522,59150,59283,59200,7504,59310,62220,59184,7730,59310,59185,59162,62590,59310,7618,7712,59134,7506,7501,59126,59250,59283,59223,59134,59890,62790,59310,7730,7730,7730,7520,7503,62141,7500,59134,59148,59274,59280,59221,59310,7620,59496,59194,59286,59960,7730,7743,59930,62410,59690,59310,59134,59249,7624,7700,59950,62138,59870,59116,62119,62880,7700,7740,7500,7730,7743,7620,7500,59236,62710,62970,59280,59226) 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 = 6064 AND W.type_id = 1) OR (W.util_id <> 6064 AND W.type_id = 2)) AND (M.post_util_id = 6064 OR M.dest_util_id = 6064) 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=6064 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 = 65807 AND W.type_id = 1) OR (W.util_id <> 65807 AND W.type_id = 2)) AND (M.post_util_id = 65807 OR M.dest_util_id = 65807) 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=65807 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 = 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 <> ''

27. 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)

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 = 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 <> ''

29. 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)

30. 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 <> ''

31. 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)

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 = 229932 AND W.type_id = 1) OR (W.util_id <> 229932 AND W.type_id = 2)) AND (M.post_util_id = 229932 OR M.dest_util_id = 229932) 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=229932 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 = 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 <> ''

35. 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)

36. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59810'

37. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.403435678816 AND ville_latitude_deg<50.763164321184 AND ville_longitude_deg>2.8333988798432 AND ville_longitude_deg<3.3999411201568 HAVING distance <= 20 ORDER BY distance ASC

38. 0.0141

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.11667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.133639197041 AND ville_latitude_deg<51.032960802959 AND ville_longitude_deg>2.4084860928827 AND ville_longitude_deg<3.8248539071173 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 (509,1037,512,511,515,519)

40. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (170959,229932,78002,496237,153448,6064,65807)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (170959,229932,78002,496237,153448,6064,65807)

42. 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

43. 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

44. 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 = 79 AND ss.ssrubr_id <> 514 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

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

46. 0.0001

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

47. 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

48. 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

49. 0.0009

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

50. 0.0226

    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'

51. 0.0162

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

51 requetes sql en 0.1199