Indexing and minimizing reading of blocks












0















I am struggling a lot with this problem.



Given two relations:
A = (aid, a, t, p, z) and B(bid, x, aid, y). With the following dimensions, A has 10000 pages 25 entries/page and B has 1000 pages, 40 entries/page.



The database has the following indexes:



unclustestered B+ index on B.y



hash indexes on all table keys.



Consider the DBMS has these 2 join algorithms possible:
join with nested loop



join with index



How to find a plan which minimizes blocks reads, for following query:



select A.t, B.y
from A, B where B.aid = A.aid and
B.y > '0'





My approach is to utilize the fact that there are hash indexes on all table keys and to use
join with index in that case we have the pages read as :
10000 pages + 1000 * 40 * 1,2 = 58000 pages read.



Is it safe to assume this will be most optimal way?
Because join with nested loop seems naturally to be the more demanding way to achieve this. I hope some DB guru will offer some ideas.



Thanks.










share|improve this question



























    0















    I am struggling a lot with this problem.



    Given two relations:
    A = (aid, a, t, p, z) and B(bid, x, aid, y). With the following dimensions, A has 10000 pages 25 entries/page and B has 1000 pages, 40 entries/page.



    The database has the following indexes:



    unclustestered B+ index on B.y



    hash indexes on all table keys.



    Consider the DBMS has these 2 join algorithms possible:
    join with nested loop



    join with index



    How to find a plan which minimizes blocks reads, for following query:



    select A.t, B.y
    from A, B where B.aid = A.aid and
    B.y > '0'





    My approach is to utilize the fact that there are hash indexes on all table keys and to use
    join with index in that case we have the pages read as :
    10000 pages + 1000 * 40 * 1,2 = 58000 pages read.



    Is it safe to assume this will be most optimal way?
    Because join with nested loop seems naturally to be the more demanding way to achieve this. I hope some DB guru will offer some ideas.



    Thanks.










    share|improve this question

























      0












      0








      0








      I am struggling a lot with this problem.



      Given two relations:
      A = (aid, a, t, p, z) and B(bid, x, aid, y). With the following dimensions, A has 10000 pages 25 entries/page and B has 1000 pages, 40 entries/page.



      The database has the following indexes:



      unclustestered B+ index on B.y



      hash indexes on all table keys.



      Consider the DBMS has these 2 join algorithms possible:
      join with nested loop



      join with index



      How to find a plan which minimizes blocks reads, for following query:



      select A.t, B.y
      from A, B where B.aid = A.aid and
      B.y > '0'





      My approach is to utilize the fact that there are hash indexes on all table keys and to use
      join with index in that case we have the pages read as :
      10000 pages + 1000 * 40 * 1,2 = 58000 pages read.



      Is it safe to assume this will be most optimal way?
      Because join with nested loop seems naturally to be the more demanding way to achieve this. I hope some DB guru will offer some ideas.



      Thanks.










      share|improve this question














      I am struggling a lot with this problem.



      Given two relations:
      A = (aid, a, t, p, z) and B(bid, x, aid, y). With the following dimensions, A has 10000 pages 25 entries/page and B has 1000 pages, 40 entries/page.



      The database has the following indexes:



      unclustestered B+ index on B.y



      hash indexes on all table keys.



      Consider the DBMS has these 2 join algorithms possible:
      join with nested loop



      join with index



      How to find a plan which minimizes blocks reads, for following query:



      select A.t, B.y
      from A, B where B.aid = A.aid and
      B.y > '0'





      My approach is to utilize the fact that there are hash indexes on all table keys and to use
      join with index in that case we have the pages read as :
      10000 pages + 1000 * 40 * 1,2 = 58000 pages read.



      Is it safe to assume this will be most optimal way?
      Because join with nested loop seems naturally to be the more demanding way to achieve this. I hope some DB guru will offer some ideas.



      Thanks.







      database






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Jan 20 at 14:14









      mcdonald reversedmcdonald reversed

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