Location parking sécurisé à 78740 Vaux-sur-seine

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='78'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78740' AND ville_nom like '%vaux%sur%seine%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%parking%securise%' OR ssrubr_title like '%parking%securise%' OR ssrubr_slug like '%parking%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='78740'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.96667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.836835678816 AND ville_latitude_deg<49.196564321184 AND ville_longitude_deg>1.6924188354746 AND ville_longitude_deg<2.2409211645254 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='parking sécurisé'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='79'AND MATCH (wish_title,wish_desc) AGAINST ('+parking sécurisé*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '78740%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=79

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='parking sécurisé' OR ssrubr_slug='parking-sécurisé' OR (ssrubr_title like '%parking sécurisé%')) 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='parking-securise' AND cate_id='79'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78740'

19. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.96667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.836835678816 AND ville_latitude_deg<49.196564321184 AND ville_longitude_deg>1.6924188354746 AND ville_longitude_deg<2.2409211645254 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0196

    SELECT ville_cp, ROUND((((acos(sin((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.96667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.567039197041 AND ville_latitude_deg<49.466360802959 AND ville_longitude_deg>1.2810361764121 AND ville_longitude_deg<2.6523038235879 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0421

    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((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.96667- 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 ('(+parking +sécurisé*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (78740,78740,95180,78740,95450,95000,95800,78250,95450,78480,78130,78510,78250,95280,95650,95490,78250,78250,78540,95450,78130,78570,78250,95000,95650,78410,95450,95450,95000,78780,95450,95650,95650,78670,78670,78570,78920,78250,78820,95450,78955,95450,78260,78410,95520,95450,78440,78630,95610,78410,95650,95450,78440,95300,78700,78440,78300,78440,78630,95300,95830,95450,95310,95830,95450,78580,95450,78580,95450,78410,78410,78440,78440,78126,95640,95640,78680,95810,78440,78970,95300,95420,95640,78240,78440,78240,78580,95810,78580,95510,95480,78600,95220,95640,78124,78121,78440,95640,95300,78600,95450,95420,78100,95430,78440,78440,95750,78230,95370,95420,95420,95810,78112,78124,78810,95640,95510,95530,95640,95750,78810,95420,95810,78110,95250,78750,78930,78580,78360,95240,78520,78500,95810,95510,95540,78620,78520,95150,95550,78930,78560,78770,95630,95430,78450,95740,95690,95420,78200,60240,95420,78160,78850,78860,78711,78200,60240,78420,95510,95760,78930,60240,95640,78520,95130,78930,95130,95810,78650,78590,78430,95690,78770,95420,78930,78400) 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 = 57320 AND W.type_id = 1) OR (W.util_id <> 57320 AND W.type_id = 2)) AND (M.post_util_id = 57320 OR M.dest_util_id = 57320) 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=57320 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 = 57564 AND W.type_id = 1) OR (W.util_id <> 57564 AND W.type_id = 2)) AND (M.post_util_id = 57564 OR M.dest_util_id = 57564) 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=57564 AND note_visu IN (1,3,4)

26. 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 = 94304 AND W.type_id = 1) OR (W.util_id <> 94304 AND W.type_id = 2)) AND (M.post_util_id = 94304 OR M.dest_util_id = 94304) 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=94304 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 = 116824 AND W.type_id = 1) OR (W.util_id <> 116824 AND W.type_id = 2)) AND (M.post_util_id = 116824 OR M.dest_util_id = 116824) 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=116824 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 = 6738 AND W.type_id = 1) OR (W.util_id <> 6738 AND W.type_id = 2)) AND (M.post_util_id = 6738 OR M.dest_util_id = 6738) 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=6738 AND note_visu IN (1,3,4)

32. 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 = 414983 AND W.type_id = 1) OR (W.util_id <> 414983 AND W.type_id = 2)) AND (M.post_util_id = 414983 OR M.dest_util_id = 414983) 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=414983 AND note_visu IN (1,3,4)

34. 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 = 361348 AND W.type_id = 1) OR (W.util_id <> 361348 AND W.type_id = 2)) AND (M.post_util_id = 361348 OR M.dest_util_id = 361348) 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=361348 AND note_visu IN (1,3,4)

36. 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 = 444956 AND W.type_id = 1) OR (W.util_id <> 444956 AND W.type_id = 2)) AND (M.post_util_id = 444956 OR M.dest_util_id = 444956) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=444956 AND note_visu IN (1,3,4)

38. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78740'

39. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.96667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.836835678816 AND ville_latitude_deg<49.196564321184 AND ville_longitude_deg>1.6924188354746 AND ville_longitude_deg<2.2409211645254 HAVING distance <= 20 ORDER BY distance ASC

40. 0.0198

    SELECT ville_cp, ROUND((((acos(sin((49.0167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.0167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.96667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.567039197041 AND ville_latitude_deg<49.466360802959 AND ville_longitude_deg>1.2810361764121 AND ville_longitude_deg<2.6523038235879 HAVING distance <= 50 ORDER BY distance ASC

41. 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 (523,520,518)

42. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (94304,116824,414983,361348,444956,6738,57564,57320)

43. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (94304,116824,414983,361348,444956,6738,57564,57320)

44. 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=79 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

45. 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='parking sécurisé' OR ssrubr_slug like '%parking sécurisé%' OR MATCH (ssrubr_slug) AGAINST ('(+parking +sécurisé)')) AND sk.ssrubr_id='518' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 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 <> 518 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='518' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0.0001

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

49. 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

50. 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

51. 0.0011

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

52. 0.0371

    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'

53. 0.0225

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

53 requetes sql en 0.157