Question: Query Optimization - Estimating I / O costs Using two relations R and S , with the join condition ( mathrm { Ri

Query Optimization - Estimating I/O costs
Using two relations R and S , with the join condition \(\mathrm{Ri}=\mathrm{Sj}\), and given the following information:
-\( M \) pages in \( R \) with \( p R \) tuples per page
-\( N \) pages in \( S \) with \( p S \) tuples per page
R contains:
-500 pages
-20 tuples per page
S contains:
-800 pages
-40 tuples per page
Buffer size is 52(inclusive of 2 additional buffers)
5. Compute the I/O cost for R JOIN S using a block nested loop join
6. Compute the I/O cost for S JOIN R using a block nested loop join
7. Compute the I/O cost for \( R \) and \( S \) using a hash join.
Show all your work.
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Using two relations \( S \) and \( R \), suppose that \( S \) has 500 tuples stored in 50 disk blocks and \( R \) has 10,000 tuples stored in 1,000 disk blocks. The following information is provided for access paths:
102 buffer caches (pages) are available.
The relation S has the secondary Index on sID with index level \(=2\) and the relation \( R \) has the secondary index on sID with index level \(=1\)
Each \( S \) tuple matches with exactly \(8 R \) tuples.
8. What is the IO costs for the join \( S \bowtie R \) : S .sID = R .sID using index based nested loop join? SJOIN R
Query Optimization - Estimating I / O costs Using

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