Location entrepôt (stockage) à 92800 Puteaux

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='92'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92800' AND ville_nom like '%puteaux%' 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%en%entrepot%' OR ssrubr_title like '%stockage%en%entrepot%' OR ssrubr_slug like '%stockage%en%entrepot%') 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. 0.0003

    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='92800'

12. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.686835678816 AND ville_latitude_deg<49.046564321184 AND ville_longitude_deg>1.9599018543365 AND ville_longitude_deg<2.5067581456635 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='entrepôt; stockage en entrepot'

14. 0.0007

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='79'AND MATCH (wish_title,wish_desc) AGAINST ('+entrepôt; stockage en entrepot*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '92800%'

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='entrepôt; stockage en entrepot' OR ssrubr_slug='entrepôt;-stockage-en-entrepot' OR (ssrubr_title like '%entrepôt; stockage en entrepot%')) 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-en-entrepot' AND cate_id='79'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92800'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.686835678816 AND ville_latitude_deg<49.046564321184 AND ville_longitude_deg>1.9599018543365 AND ville_longitude_deg<2.5067581456635 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0068

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.417039197041 AND ville_latitude_deg<49.316360802959 AND ville_longitude_deg>1.5497537413096 AND ville_longitude_deg<2.9169062586904 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0314

    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((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- 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 ('(+entrepôt; +stockage +en +entrepot*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (92800,92800,92150,92210,92500,92200,92400,92250,92100,92000,92380,92300,92410,92430,92420,92700,78800,92310,92270,92130,92110,92170,92600,78170,78400,92190,92360,78420,78290,78380,92240,95870,92370,92140,75020,75000,75019,75116,75018,75001,75003,75004,75005,75006,75007,75008,75009,75010,75011,75012,75013,75014,75015,75016,75017,75002,93400,92120,78360,78140,92320,78430,78560,92230,92220,78220,78150,94250,78110,78150,95100,92350,78500,92330,92260,93450,92390,78000,94110,78230,93800,78160,78600,78600,78750,78870,95110,94270,92290,78100,95218,95530,95210,93200,93210,94234,94240,94230,94232,94231,94233,94237,94239,94236,94235,94238,92340,78350,78620,94800,93300,93120,94200,94205,78112,78590,93310,95880,93500,93430,95130,91570,95120,95240,91370,78530,78350,93170,95370,95230,92160,94160,78590,95360,94550,78210,94260,93240,78330,94220,93100,93260,93230,94300,93380,95130,95170,91430,91430,78240,95600,91300,93350,78300,94400,94140,95410,94150,78117,95580,95580,95220,91400,94320,78860,78700,78240,93000,78450,93440,94700,78260,78280,95160,91320,91120,95320,95250,95390,95680,93130,78955,95480,94410,95140,94600,93140,93150,93700,78390,95350,78117,78570,94390,94310,94340,91190,93110,95500,78450,94120,78180,95200,95400,95550,95150,91140,95400,94130,78960,91160,95350,91190,91400,78630,78340,91440,91380,91160,78780,78114,95610,91550,78670,78670,94000,78190,78810,78570,93250,94170,95330,91420,95440) 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 = 26948 AND W.type_id = 1) OR (W.util_id <> 26948 AND W.type_id = 2)) AND (M.post_util_id = 26948 OR M.dest_util_id = 26948) 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=26948 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 = 62448 AND W.type_id = 1) OR (W.util_id <> 62448 AND W.type_id = 2)) AND (M.post_util_id = 62448 OR M.dest_util_id = 62448) 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=62448 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 = 126080 AND W.type_id = 1) OR (W.util_id <> 126080 AND W.type_id = 2)) AND (M.post_util_id = 126080 OR M.dest_util_id = 126080) 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=126080 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 = 79784 AND W.type_id = 1) OR (W.util_id <> 79784 AND W.type_id = 2)) AND (M.post_util_id = 79784 OR M.dest_util_id = 79784) 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=79784 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 = 78686 AND W.type_id = 1) OR (W.util_id <> 78686 AND W.type_id = 2)) AND (M.post_util_id = 78686 OR M.dest_util_id = 78686) 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=78686 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 = 548058 AND W.type_id = 1) OR (W.util_id <> 548058 AND W.type_id = 2)) AND (M.post_util_id = 548058 OR M.dest_util_id = 548058) 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=548058 AND note_visu IN (1,3,4)

34. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92800'

35. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.686835678816 AND ville_latitude_deg<49.046564321184 AND ville_longitude_deg>1.9599018543365 AND ville_longitude_deg<2.5067581456635 HAVING distance <= 20 ORDER BY distance ASC

36. 0.0065

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.417039197041 AND ville_latitude_deg<49.316360802959 AND ville_longitude_deg>1.5497537413096 AND ville_longitude_deg<2.9169062586904 HAVING distance <= 50 ORDER BY distance ASC

37. 0.0002

    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 (512,514,515)

38. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (62448,79784,548058,126080,78686,26948)

39. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (62448,79784,548058,126080,78686,26948)

40. 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

41. 0.0001

    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='entrepôt; stockage en entrepot' OR ssrubr_slug like '%entrepôt; stockage en entrepot%' OR MATCH (ssrubr_slug) AGAINST ('(+entrepôt; +stockage +en +entrepot)')) AND sk.ssrubr_id='512' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

42. 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 <> 512 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

43. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='512' AND actu_niveau=0 ORDER BY actu_ordre DESC

44. 0.0001

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

45. 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

46. 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

47. 0.0009

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

48. 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'

49. 0.0178

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

49 requetes sql en 0.1006