Location parking (résidence) à 95280 Jouy-le-moutier

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. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('95' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95280' AND ville_nom like '%jouy%le%moutier%' 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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%parking%dans%residence%' OR ssrubr_title like '%parking%dans%residence%' OR ssrubr_slug like '%parking%dans%residence%') 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='95280'

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(((2.03333- 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>1.7590788354746 AND ville_longitude_deg<2.3075811645254 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='résidence; parking dans residence'

14. 0.0011

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='79' AND ssrubr_id='520' AND wish_visu IN (1,6,10) AND wish_cp like '95280%'

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='résidence; parking dans residence' OR ssrubr_slug='résidence;-parking-dans-residence' OR (ssrubr_title like '%résidence; parking dans residence%')) 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-dans-residence' AND cate_id='79'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95280'

19. 0.0021

    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(((2.03333- 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>1.7590788354746 AND ville_longitude_deg<2.3075811645254 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0141

    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(((2.03333- 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>1.3476961764121 AND ville_longitude_deg<2.7189638235879 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0014

    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(((2.03333- 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 ssrubr_id='520' AND wish_visu IN (1,6,10) AND wish_cp IN (95280,95280,95490,95000,95000,95800,95000,78780,95180,78570,95650,78510,78570,78740,95610,78480,95650,78260,95520,78740,95300,78700,95450,78540,95310,95450,95300,78955,95650,95650,95650,78670,78670,95450,78250,78130,78130,95450,78300,78250,95480,95220,78250,78250,95450,95450,95300,95830,95430,78410,78600,78250,78920,78600,95810,95830,95370,78630,95300,78630,95250,95450,95530,95450,95240,78240,95810,78240,78500,95450,95450,95540,78410,78100,95150,95550,78250,78820,78230,78440,95740,95450,78580,78360,95450,95630,95430,95810,95640,95640,78110,78410,95130,95450,95640,95810,78112,78440,95130,95640,95450,95760,78750,78580,95640,95690,95810,95840,78420,78440,95320,78440,78560,95840,78126,95870,78410,78410,78800,78121,78440,95110,95640,78620,95690,78580,95390,78160,95640,95690,78440,78400,95420,78810,95620,78580,95560,95120,95100,78680,95690,78430,78124,92000,78970,95750,78380,78810,78290,78440,95680,95290,95600,78440,95750,95640,78860,95450,95420,95810,60240,78590,78450,78870,95510,95210,95218,95810,78124,92500,92700,95580,95580,95590,78440,95570,95230) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (19186,20633,25318,57320,57564,116824,296662,361348)

23. 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 = 19186 AND W.type_id = 1) OR (W.util_id <> 19186 AND W.type_id = 2)) AND (M.post_util_id = 19186 OR M.dest_util_id = 19186) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=19186 AND note_visu IN (1,3,4)

25. 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 = 20633 AND W.type_id = 1) OR (W.util_id <> 20633 AND W.type_id = 2)) AND (M.post_util_id = 20633 OR M.dest_util_id = 20633) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=20633 AND note_visu IN (1,3,4)

27. 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 = 25318 AND W.type_id = 1) OR (W.util_id <> 25318 AND W.type_id = 2)) AND (M.post_util_id = 25318 OR M.dest_util_id = 25318) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=25318 AND note_visu IN (1,3,4)

29. 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 = 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 <> ''

30. 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)

31. 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 = 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 <> ''

32. 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)

33. 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 = 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 <> ''

34. 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)

35. 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 = 296662 AND W.type_id = 1) OR (W.util_id <> 296662 AND W.type_id = 2)) AND (M.post_util_id = 296662 OR M.dest_util_id = 296662) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=296662 AND note_visu IN (1,3,4)

37. 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 = 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 <> ''

38. 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)

39. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95280'

40. 0.0024

    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(((2.03333- 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>1.7590788354746 AND ville_longitude_deg<2.3075811645254 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0163

    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(((2.03333- 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>1.3476961764121 AND ville_longitude_deg<2.7189638235879 HAVING distance <= 50 ORDER BY distance ASC

42. 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 (520)

43. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (116824,19186,361348,57564,57320,296662,25318,20633)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (116824,19186,361348,57564,57320,296662,25318,20633)

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='résidence; parking dans residence' OR ssrubr_slug like '%résidence; parking dans residence%' OR MATCH (ssrubr_slug) AGAINST ('(+résidence; +parking +dans +residence)')) AND sk.ssrubr_id='520' 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 <> 520 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='520' 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. 0.0002

    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. 0.0015

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

52. 0.0222

    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. 0.0162

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

53 requetes sql en 0.0854