Difference operation First, the relations on all the attributes in the tuples are partitioned. Next at each individual processor, the difference is computed...

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Answer 1

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Chapter 22, Problem 13E

a.

Explanation of Solution

Difference operation

First, the relations on all the attributes in the tuples are partitioned.

Next at each individual processor, the difference is computed...

b.

Explanation of Solution

Aggregation by count operation

Here the count is implemented just like the sum operation.

The only difference is that during partitioning, the count of number of values ...

c.

Explanation of Solution

Aggregation by the count distinct operation

Here partial counts cannot be computed locally before partitioning.

Each processor will transfer all uniqu...

d.

Explanation of Solution

Aggregation using the avg operation

This operation can be performed like the sum operation.

During partitioning, sum the values of attribute as well as count the number of tuples in the group...

e.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition involves only equality...

f.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition entails condition other than equality.

Here all tuples from relation r which does not match any tuples from relation s is collected...

g.

Explanation of Solution

Full outer join

Here full outer join is parallelized if the join condition involves comparisons other than equality.

Here the procedure is same as that of left oute...

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Check out a sample textbook solution

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Answer 2

Expert Solution & Answer

Chapter 22, Problem 13E

a.

Explanation of Solution

Difference operation

First, the relations on all the attributes in the tuples are partitioned.

Next at each individual processor, the difference is computed...

b.

Explanation of Solution

Aggregation by count operation

Here the count is implemented just like the sum operation.

The only difference is that during partitioning, the count of number of values ...

c.

Explanation of Solution

Aggregation by the count distinct operation

Here partial counts cannot be computed locally before partitioning.

Each processor will transfer all uniqu...

d.

Explanation of Solution

Aggregation using the avg operation

This operation can be performed like the sum operation.

During partitioning, sum the values of attribute as well as count the number of tuples in the group...

e.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition involves only equality...

f.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition entails condition other than equality.

Here all tuples from relation r which does not match any tuples from relation s is collected...

g.

Explanation of Solution

Full outer join

Here full outer join is parallelized if the join condition involves comparisons other than equality.

Here the procedure is same as that of left oute...

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 3

Expert Solution & Answer

Chapter 22, Problem 13E

a.

Explanation of Solution

Difference operation

First, the relations on all the attributes in the tuples are partitioned.

Next at each individual processor, the difference is computed...

b.

Explanation of Solution

Aggregation by count operation

Here the count is implemented just like the sum operation.

The only difference is that during partitioning, the count of number of values ...

c.

Explanation of Solution

Aggregation by the count distinct operation

Here partial counts cannot be computed locally before partitioning.

Each processor will transfer all uniqu...

d.

Explanation of Solution

Aggregation using the avg operation

This operation can be performed like the sum operation.

During partitioning, sum the values of attribute as well as count the number of tuples in the group...

e.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition involves only equality...

f.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition entails condition other than equality.

Here all tuples from relation r which does not match any tuples from relation s is collected...

g.

Explanation of Solution

Full outer join

Here full outer join is parallelized if the join condition involves comparisons other than equality.

Here the procedure is same as that of left oute...

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 4

Expert Solution & Answer

Chapter 22, Problem 13E

a.

Explanation of Solution

Difference operation

First, the relations on all the attributes in the tuples are partitioned.

Next at each individual processor, the difference is computed...

b.

Explanation of Solution

Aggregation by count operation

Here the count is implemented just like the sum operation.

The only difference is that during partitioning, the count of number of values ...

c.

Explanation of Solution

Aggregation by the count distinct operation

Here partial counts cannot be computed locally before partitioning.

Each processor will transfer all uniqu...

d.

Explanation of Solution

Aggregation using the avg operation

This operation can be performed like the sum operation.

During partitioning, sum the values of attribute as well as count the number of tuples in the group...

e.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition involves only equality...

f.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition entails condition other than equality.

Here all tuples from relation r which does not match any tuples from relation s is collected...

g.

Explanation of Solution

Full outer join

Here full outer join is parallelized if the join condition involves comparisons other than equality.

Here the procedure is same as that of left oute...

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 5

Expert Solution & Answer

Answer 6

Expert Solution & Answer

Answer 7

Chapter 22, Problem 13E

a.

Explanation of Solution

Difference operation

First, the relations on all the attributes in the tuples are partitioned.

Next at each individual processor, the difference is computed...

b.

Explanation of Solution

Aggregation by count operation

Here the count is implemented just like the sum operation.

The only difference is that during partitioning, the count of number of values ...

c.

Explanation of Solution

Aggregation by the count distinct operation

Here partial counts cannot be computed locally before partitioning.

Each processor will transfer all uniqu...

d.

Explanation of Solution

Aggregation using the avg operation

This operation can be performed like the sum operation.

During partitioning, sum the values of attribute as well as count the number of tuples in the group...

e.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition involves only equality...

f.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition entails condition other than equality.

Here all tuples from relation r which does not match any tuples from relation s is collected...

g.

Explanation of Solution

Full outer join

Here full outer join is parallelized if the join condition involves comparisons other than equality.

Here the procedure is same as that of left oute...

Answer 8

Chapter 22, Problem 13E

a.

Explanation of Solution

Difference operation

First, the relations on all the attributes in the tuples are partitioned.

Next at each individual processor, the difference is computed...

Answer 9

Chapter 22, Problem 13E

a.

Explanation of Solution

Difference operation

First, the relations on all the attributes in the tuples are partitioned.

Next at each individual processor, the difference is computed...

Answer 10

b.

Explanation of Solution

Aggregation by count operation

Here the count is implemented just like the sum operation.

The only difference is that during partitioning, the count of number of values ...

Answer 11

b.

Explanation of Solution

Aggregation by count operation

Here the count is implemented just like the sum operation.

The only difference is that during partitioning, the count of number of values ...

Answer 12

c.

Explanation of Solution

Aggregation by the count distinct operation

Here partial counts cannot be computed locally before partitioning.

Each processor will transfer all uniqu...

Answer 13

c.

Explanation of Solution

Aggregation by the count distinct operation

Here partial counts cannot be computed locally before partitioning.

Each processor will transfer all uniqu...

Answer 14

d.

Explanation of Solution

Aggregation using the avg operation

This operation can be performed like the sum operation.

During partitioning, sum the values of attribute as well as count the number of tuples in the group...

Answer 15

d.

Explanation of Solution

Aggregation using the avg operation

This operation can be performed like the sum operation.

During partitioning, sum the values of attribute as well as count the number of tuples in the group...

Answer 16

e.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition involves only equality...

Answer 17

e.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition involves only equality...

Answer 18

f.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition entails condition other than equality.

Here all tuples from relation r which does not match any tuples from relation s is collected...

Answer 19

f.

Explanation of Solution

Left outer join

Here left outer join is parallelized if the join condition entails condition other than equality.

Here all tuples from relation r which does not match any tuples from relation s is collected...

Answer 20

g.

Explanation of Solution

Full outer join

Here full outer join is parallelized if the join condition involves comparisons other than equality.

Here the procedure is same as that of left oute...

Answer 21

g.

Explanation of Solution

Full outer join

Here full outer join is parallelized if the join condition involves comparisons other than equality.

Here the procedure is same as that of left oute...

Answer 22

Expert Solution & Answer

Answer 23

Expert Solution & Answer

Answer 24

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Answer 25

Ch. 22 - Prob. 1PE Ch. 22 - Prob. 2PE Ch. 22 - Prob. 3PE Ch. 22 - Prob. 4PE Ch. 22 - Prob. 6PE Ch. 22 - Prob. 7PE Ch. 22 - Prob. 8PE Ch. 22 - Prob. 9PE Ch. 22 - Prob. 10PE Ch. 22 - Prob. 13E

Difference operation First, the relations on all the attributes in the tuples are partitioned. Next at each individual processor, the difference is computed...

Explanation of Solution

Difference operation First, the relations on all the attributes in the tuples are partitioned. Next at each individual processor, the difference is computed...

Explanation of Solution

Aggregation by count operation Here the count is implemented just like the sum operation. The only difference is that during partitioning, the count of number of values ...

Explanation of Solution

Aggregation by the count distinct operation Here partial counts cannot be computed locally before partitioning. Each processor will transfer all uniqu...

Explanation of Solution

Aggregation using the avg operation This operation can be performed like the sum operation. During partitioning, sum the values of attribute as well as count the number of tuples in the group...

Explanation of Solution

Left outer join Here left outer join is parallelized if the join condition involves only equality...

Explanation of Solution

Left outer join Here left outer join is parallelized if the join condition entails condition other than equality. Here all tuples from relation r which does not match any tuples from relation s is collected...

Explanation of Solution

Full outer join Here full outer join is parallelized if the join condition involves comparisons other than equality. Here the procedure is same as that of left oute...

Want to see the full answer?

Chapter 22 Solutions

Difference operation

First, the relations on all the attributes in the tuples are partitioned.

Next at each individual processor, the difference is computed...

Aggregation by count operation

Here the count is implemented just like the sum operation.

The only difference is that during partitioning, the count of number of values ...

Aggregation by the count distinct operation

Here partial counts cannot be computed locally before partitioning.

Each processor will transfer all uniqu...

Aggregation using the avg operation

This operation can be performed like the sum operation.

During partitioning, sum the values of attribute as well as count the number of tuples in the group...

Left outer join

Here left outer join is parallelized if the join condition involves only equality...

Left outer join

Here left outer join is parallelized if the join condition entails condition other than equality.

Here all tuples from relation r which does not match any tuples from relation s is collected...

Full outer join

Here full outer join is parallelized if the join condition involves comparisons other than equality.

Here the procedure is same as that of left oute...