Indexing and minimizing reading of blocks
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
add a comment |
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
add a comment |
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
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
database
asked Jan 20 at 14:14
mcdonald reversedmcdonald reversed
11
11
add a comment |
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