Location local (stockage) à 93120 La courneuve

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 filtre_dpt='93'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='93120' AND ville_nom like '%la%courneuve%' 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. 0.001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%stockage%dans%local%' OR ssrubr_title like '%stockage%dans%local%' OR ssrubr_slug like '%stockage%dans%local%') 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. 0.0004

    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='93120'

12. 0.0033

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>2.109628272488 AND ville_longitude_deg<2.657031727512 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='dans local; stockage dans local'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='79'AND MATCH (wish_title,wish_desc) AGAINST ('+dans local; stockage dans local*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '93120%'

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='dans local; stockage dans local' OR ssrubr_slug='dans-local;-stockage-dans-local' OR (ssrubr_title like '%dans local; stockage dans local%')) 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-dans-local' AND cate_id='79'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93120'

19. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>2.109628272488 AND ville_longitude_deg<2.657031727512 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0134

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.467039197041 AND ville_latitude_deg<49.366360802959 AND ville_longitude_deg>1.6990697807905 AND ville_longitude_deg<3.0675902192095 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0727

    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((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- 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 ('(+dans +local; +stockage +dans +local*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (93120,93120,93300,93500,93200,93210,93350,93240,93310,93450,92390,93400,93440,93000,93700,93150,93230,93260,93430,93380,93170,95360,95140,92230,92110,93140,93800,93100,95500,75015,75014,75116,75020,75017,75016,75013,75001,75000,75002,75003,75005,75006,75007,75008,75009,75004,75010,75012,75018,75019,75011,93130,92600,95880,92300,95410,95400,95170,94300,92270,95500,93110,95218,95210,95200,95400,93250,92200,95350,95230,94160,92700,92400,93340,93320,92250,95160,94120,95100,93600,95580,95500,95580,92170,93270,95440,94200,94205,94270,95110,93360,95120,94170,95350,94220,93220,95720,94250,95600,95500,94130,92120,93190,93390,93420,92150,92800,95870,94410,95190,92240,94340,95460,94800,95720,94140,95130,93330,95680,78800,95700,92100,94360,95330,94110,94700,93410,93370,92000,92500,95390,92130,92220,95130,93460,93470,77181,78420,93290,92210,95320,94500,95720,94400,92320,95570,78500,95570,94231,94237,94235,94236,94234,94238,94233,94232,94239,94230,94240,95240,93160,94350,95380,94340,92140,94210,94100,95190,95530,92190,92360,95570,94000,94430,77500,95370,92340,92260,92330,94320,95720,92380,94550,94600,78360,77181,95850,95560,92350,77270,92410,95190,95560,95250,94420,92310,78600,78400,77420,95840,95560,95380,95550,95150,92430,92420,95380,94380,95220,95380,95270,95570,94390,77290,94310,78170,77177,92370,95270,94150,92290,78600,78380,78290,95850,95560,94260,95740,95380,94490,94880,94880,77990,95480,77185,77410,94460,92160,77990,78140,78110,77186,78560,95590,95840,94370,94380) AND type_id=1 GROUP BY wish_id

22. 0.0003

    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 = 79294 AND W.type_id = 1) OR (W.util_id <> 79294 AND W.type_id = 2)) AND (M.post_util_id = 79294 OR M.dest_util_id = 79294) 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=79294 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 = 137802 AND W.type_id = 1) OR (W.util_id <> 137802 AND W.type_id = 2)) AND (M.post_util_id = 137802 OR M.dest_util_id = 137802) 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=137802 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 = 126748 AND W.type_id = 1) OR (W.util_id <> 126748 AND W.type_id = 2)) AND (M.post_util_id = 126748 OR M.dest_util_id = 126748) 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=126748 AND note_visu IN (1,3,4)

28. 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 = 196356 AND W.type_id = 1) OR (W.util_id <> 196356 AND W.type_id = 2)) AND (M.post_util_id = 196356 OR M.dest_util_id = 196356) 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=196356 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 = 198894 AND W.type_id = 1) OR (W.util_id <> 198894 AND W.type_id = 2)) AND (M.post_util_id = 198894 OR M.dest_util_id = 198894) 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=198894 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 = 202534 AND W.type_id = 1) OR (W.util_id <> 202534 AND W.type_id = 2)) AND (M.post_util_id = 202534 OR M.dest_util_id = 202534) 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=202534 AND note_visu IN (1,3,4)

34. 0.0013

    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 = 292525 AND W.type_id = 1) OR (W.util_id <> 292525 AND W.type_id = 2)) AND (M.post_util_id = 292525 OR M.dest_util_id = 292525) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0006

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=292525 AND note_visu IN (1,3,4)

36. 0.0007

    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 <> ''

37. 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)

38. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93120'

39. 0.005

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>2.109628272488 AND ville_longitude_deg<2.657031727512 HAVING distance <= 20 ORDER BY distance ASC

40. 0.011

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.467039197041 AND ville_latitude_deg<49.366360802959 AND ville_longitude_deg>1.6990697807905 AND ville_longitude_deg<3.0675902192095 HAVING distance <= 50 ORDER BY distance ASC

41. 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 (515,511,519,1037,510,514)

42. 0.0005

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (548058,202534,198894,196356,137802,79294,126748,292525)

43. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (548058,202534,198894,196356,137802,79294,126748,292525)

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='dans local; stockage dans local' OR ssrubr_slug like '%dans local; stockage dans local%' OR MATCH (ssrubr_slug) AGAINST ('(+dans +local; +stockage +dans +local)')) AND sk.ssrubr_id='515' 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 <> 515 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0008

    SELECT * FROM actu WHERE ssrubr_id='515' 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. 0.0004

    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. 0.0009

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

52. 0.0352

    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. 0.0401

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

53 requetes sql en 0.1958