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**Question 3:**

Consider we have three tables A, B, and C, stored on a magnetic hard drive. The following information pertains to the tables:

- Each page is 2000 bytes.
- No tuples can be split between pages.
- Size of each table:
- **A**: 20,000 tuples, 100 bytes per tuple
- **B**: 30,000 tuples, 200 bytes per tuple
- **C**: 60,000 tuples, 300 bytes per tuple

- Table A is stored on one track of the disk.
- Table B is evenly split between two tracks (different from the tracks that store A or C).
- Table C is evenly split between two tracks (different from the tracks that store A or B).
- Data on each track is stored as contiguous pages.
- Assume each seek + rotation takes 50 ms, and each page read/write takes 0.5 ms.
- For every query in this question, we assume the disk head is at neither of the tracks that store a table at the beginning.

**Question 4:**

Using the same setup as Question 3 (for this question, ignore seek time/rotational delay in your calculations). Consider a query that joins 3 tables, A, B, and C with the join condition A.x = B.x and B.x = C.x. Assume the following:

- A.x, B.x, C.x are all integer attributes.
- None of the attributes is the primary key of each table.
- Every value that appears in B.x appears in A.x (but not necessarily vice versa).
- A.x has values between 1-1000 (inclusive), evenly distributed.
- C.x has values between 201-2200 (inclusive), evenly distributed.
- No extra information about the distribution of B.x is available.

Consider the following:

a. Suppose we want to join tables A and C first. What should be the join condition?

b. Assume we use a nested loop join to join tables A and C. Which table should be in the outer loop? Why?

c. Now assume we have 200 buffers available. Further, assume we evenly distribute the buffers between the two tables. Calculate the time needed to execute this query. Show your work.

d. How many tuples will the result have?

e. To simplify the calculation, assume the join result of A and C contains every attribute (including duplicating the join attributes). Now assume we store the result of the join onto the disk. How many pages are needed?

f. Now suppose we have an output buffer of 200 pages (i.e., the join stores the results in the buffers, and writing happens only when the output buffer is full, and all pages will be written to the same track). There will be a dedicated track (different from the tracks that store the tables for the result). Calculate the time needed to write the output.

g. Now suppose we join B with the result from part (e) that is written to the disk, using a nested loop. Once again, we split the 200 buffers evenly between the two tables. Calculate the time for this join.

h. Calculate the overall time for the query. Remember to factor in the time you write the result of the first join to the disk. (But you can assume you are not writing the final result to the disk).

Answer :

Final answer:

The join condition for joining table A and C is A.x = C.x. In a nested loop join, table A should be in the outer loop. The execution time for the query depends on the number of buffers available and the distribution of buffers between the tables. The number of tuples in the result is equal to the number of tuples in table A. The number of pages needed to store the join result is 1000 pages. The time needed to write the output is 100ms. The time for joining table B with the join result can be calculated using the same formula as the execution time. The overall time for the query is the sum of the execution time, the time needed to write the output, and the time for joining table B with the join result.

Explanation:

Joining Tables and Calculating Execution Time

In this scenario, we have three tables A, B, and C stored on a magnetic hard drive. We need to determine the join condition for joining table A and C, the outer loop table for a nested loop join between A and C, the execution time for the query, the number of tuples in the result, the number of pages needed to store the join result, the time needed to write the output, the time for joining table B with the join result, and the overall time for the query.

a. Join Condition for A and C

The join condition for joining table A and C is A.x = C.x, where A.x and C.x are the attributes being compared.

b. Outer Loop Table for Nested Loop Join

In a nested loop join, the outer loop table is the table that is iterated over for each tuple of the inner loop table. In this case, table A should be the outer loop table because it has fewer tuples compared to table C.

c. Execution Time Calculation

To calculate the execution time, we need to consider the number of buffers available and the distribution of buffers between the two tables. In this scenario, we have 200 buffers available, which are evenly distributed between tables A and C. The time needed to execute the query can be calculated using the formula:

Execution Time = Seek Time + Rotation Time + Read/Write Time

For each table, the seek time and rotation time are 50ms, and the read/write time is 0.5ms per page. The total number of pages for table A is 20,000/2000 = 10 pages, and for table C, it is 60,000/2000 = 30 pages. Therefore, the execution time can be calculated as:

Execution Time = (2 * Seek Time + 2 * Rotation Time) + (10 * Read/Write Time for table A) + (30 * Read/Write Time for table C)

d. Number of Tuples in the Result

The number of tuples in the result can be determined by performing the join operation between tables A and C using the join condition A.x = C.x. Since the join result contains every attribute, including duplicating the join attributes, the number of tuples in the result will be equal to the number of tuples in table A, which is 20,000.

e. Number of Pages Needed to Store the Join Result

To calculate the number of pages needed to store the join result, we need to consider the size of each tuple and the total number of tuples in the result. The size of each tuple in table A is 100 bytes, and the number of tuples in the result is 20,000. Therefore, the total size of the join result is 100 * 20,000 = 2,000,000 bytes. Since each page is 2000 bytes, the number of pages needed to store the join result is 2,000,000/2000 = 1000 pages.

f. Time Needed to Write the Output

Assuming we have an output buffer of 200 pages and all pages will be written to the same track, the time needed to write the output can be calculated as:

Time Needed to Write Output = Write Time per Page * Number of Pages

Since each page write takes 0.5ms, the time needed to write the output is 0.5ms * 200 = 100ms.

g. Time for Joining Table B with the Join Result

To calculate the time for joining table B with the join result, we need to consider the number of buffers available and the distribution of buffers between the two tables. In this scenario, we have 200 buffers available, which are evenly distributed between tables B and the join result. The time needed to execute this join can be calculated using the same formula as in part c.

h. Overall Time for the Query

To calculate the overall time for the query, we need to factor in the time taken to write the result of the first join to the disk. However, we can assume that we are not writing the final result to the disk. Therefore, the overall time for the query is the sum of the execution time for joining table A and C, the time needed to write the output, and the time for joining table B with the join result.

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