Lock for reading a lot of tuples from relation r The entire logical databases may be composed of databases of multiple users which contains each user database of multiple relations and each relation of multiple tuples...

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Answer 1

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Chapter 18, Problem 25E

a.

Explanation of Solution

Lock for reading a lot of tuples from relation r

The entire logical databases may be composed of databases of multiple users which contains each user database of multiple relations and each relation of multiple tuples...

b.

Explanation of Solution

Lock for updating a lot of tuples from relation r

If two locks IS and IX are compatible, then two IX locks and two IS locks will be compatible automatically.

This is because it is natural to allow the both transactions T₁ and T₂ to IS lock or IX lock for reading or updating different data items...

c.

Explanation of Solution

Problems caused to the lock table while updating a large number of tuples

When a transaction finds that a large number of tuples need to be updated actually at the run time, then owner can decide to do delayed batch processing of updates.

Large number of updates at run time affect the similar set of nodes.

Large number of updates is expected to have a very expensive updating cost.

A large number of tuple updating policy performs an unnecessary number of hash functions in its predecessor path.

The data in a database can be wrong due to a lost update that can lead to problems with normal operations.

One method for preventing lost update is to use optimistic concurrency control to perform optimistic locking on the data...

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PLEG136: Week 5 Portofolio Project Motion to Compel

B A E H Figure 1 K Questions 1. List the shortest paths between all node pairs. Indicate the number of shortest paths that pass through each edge. Explain how this information helps determine edge betweenness. 2. Compute the edge betweenness for each configuration of DFS. 3. Remove the edge(s) with the highest betweenness and redraw the graph. Recompute the edge betweenness centrality for the new graph. Explain how the network structure changes after removing the edge. 4. Iteratively remove edges until at least two communities form. Provide step-by-step calculations for each removal. Explain how edge betweenness changes dynamically during the process. 5. How many communities do you detect in the final step? Compare the detected communities with the original graph structure. Discuss whether the Girvan- Newman algorithm successfully captures meaningful subgroups. 6. If you were to use degree centrality instead of edge betweenness for community detection, how would the results change?

Unit 1 Assignment 1 – Loops and Methods (25 points) Task: You are working for Kean University and given the task of building an Email Registration System. Your objective is to generate a Kean email ID and temporary password for every new user. The system will prompt for user information and generate corresponding credentials. You will develop a complete Java program that consists of the following modules: Instructions: 1. Main Method: ○ The main method should include a loop (of your choice) that asks for input from five users. For each user, you will prompt for their first name and last name and generate the email and password by calling two separate methods. Example о Enter your first name: Joe Enter your last name: Rowling 2.generateEmail() Method: This method will take the user's first and last name as parameters and return the corresponding Kean University email address. The format of the email is: • First letter of the first name (lowercase) + Full last name (lowercase) +…

Answer 2

Expert Solution & Answer

Chapter 18, Problem 25E

a.

Explanation of Solution

Lock for reading a lot of tuples from relation r

The entire logical databases may be composed of databases of multiple users which contains each user database of multiple relations and each relation of multiple tuples...

b.

Explanation of Solution

Lock for updating a lot of tuples from relation r

If two locks IS and IX are compatible, then two IX locks and two IS locks will be compatible automatically.

This is because it is natural to allow the both transactions T₁ and T₂ to IS lock or IX lock for reading or updating different data items...

c.

Explanation of Solution

Problems caused to the lock table while updating a large number of tuples

When a transaction finds that a large number of tuples need to be updated actually at the run time, then owner can decide to do delayed batch processing of updates.

Large number of updates at run time affect the similar set of nodes.

Large number of updates is expected to have a very expensive updating cost.

A large number of tuple updating policy performs an unnecessary number of hash functions in its predecessor path.

The data in a database can be wrong due to a lost update that can lead to problems with normal operations.

One method for preventing lost update is to use optimistic concurrency control to perform optimistic locking on the data...

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 3

Expert Solution & Answer

Chapter 18, Problem 25E

a.

Explanation of Solution

Lock for reading a lot of tuples from relation r

The entire logical databases may be composed of databases of multiple users which contains each user database of multiple relations and each relation of multiple tuples...

b.

Explanation of Solution

Lock for updating a lot of tuples from relation r

If two locks IS and IX are compatible, then two IX locks and two IS locks will be compatible automatically.

This is because it is natural to allow the both transactions T₁ and T₂ to IS lock or IX lock for reading or updating different data items...

c.

Explanation of Solution

Problems caused to the lock table while updating a large number of tuples

When a transaction finds that a large number of tuples need to be updated actually at the run time, then owner can decide to do delayed batch processing of updates.

Large number of updates at run time affect the similar set of nodes.

Large number of updates is expected to have a very expensive updating cost.

A large number of tuple updating policy performs an unnecessary number of hash functions in its predecessor path.

The data in a database can be wrong due to a lost update that can lead to problems with normal operations.

One method for preventing lost update is to use optimistic concurrency control to perform optimistic locking on the data...

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 4

Expert Solution & Answer

Chapter 18, Problem 25E

a.

Explanation of Solution

Lock for reading a lot of tuples from relation r

The entire logical databases may be composed of databases of multiple users which contains each user database of multiple relations and each relation of multiple tuples...

b.

Explanation of Solution

Lock for updating a lot of tuples from relation r

If two locks IS and IX are compatible, then two IX locks and two IS locks will be compatible automatically.

This is because it is natural to allow the both transactions T₁ and T₂ to IS lock or IX lock for reading or updating different data items...

c.

Explanation of Solution

Problems caused to the lock table while updating a large number of tuples

When a transaction finds that a large number of tuples need to be updated actually at the run time, then owner can decide to do delayed batch processing of updates.

Large number of updates at run time affect the similar set of nodes.

Large number of updates is expected to have a very expensive updating cost.

A large number of tuple updating policy performs an unnecessary number of hash functions in its predecessor path.

The data in a database can be wrong due to a lost update that can lead to problems with normal operations.

One method for preventing lost update is to use optimistic concurrency control to perform optimistic locking on the data...

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 5

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Answer 6

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Answer 7

Chapter 18, Problem 25E

a.

Explanation of Solution

Lock for reading a lot of tuples from relation r

The entire logical databases may be composed of databases of multiple users which contains each user database of multiple relations and each relation of multiple tuples...

b.

Explanation of Solution

Lock for updating a lot of tuples from relation r

If two locks IS and IX are compatible, then two IX locks and two IS locks will be compatible automatically.

This is because it is natural to allow the both transactions T₁ and T₂ to IS lock or IX lock for reading or updating different data items...

c.

Explanation of Solution

Problems caused to the lock table while updating a large number of tuples

When a transaction finds that a large number of tuples need to be updated actually at the run time, then owner can decide to do delayed batch processing of updates.

Large number of updates at run time affect the similar set of nodes.

Large number of updates is expected to have a very expensive updating cost.

A large number of tuple updating policy performs an unnecessary number of hash functions in its predecessor path.

The data in a database can be wrong due to a lost update that can lead to problems with normal operations.

One method for preventing lost update is to use optimistic concurrency control to perform optimistic locking on the data...

Answer 8

Chapter 18, Problem 25E

a.

Explanation of Solution

Lock for reading a lot of tuples from relation r

The entire logical databases may be composed of databases of multiple users which contains each user database of multiple relations and each relation of multiple tuples...

Answer 9

Chapter 18, Problem 25E

a.

Explanation of Solution

Lock for reading a lot of tuples from relation r

The entire logical databases may be composed of databases of multiple users which contains each user database of multiple relations and each relation of multiple tuples...

Answer 10

b.

Explanation of Solution

Lock for updating a lot of tuples from relation r

If two locks IS and IX are compatible, then two IX locks and two IS locks will be compatible automatically.

This is because it is natural to allow the both transactions T₁ and T₂ to IS lock or IX lock for reading or updating different data items...

Answer 11

b.

Explanation of Solution

Lock for updating a lot of tuples from relation r

If two locks IS and IX are compatible, then two IX locks and two IS locks will be compatible automatically.

This is because it is natural to allow the both transactions T₁ and T₂ to IS lock or IX lock for reading or updating different data items...

Answer 12

c.

Explanation of Solution

Problems caused to the lock table while updating a large number of tuples

When a transaction finds that a large number of tuples need to be updated actually at the run time, then owner can decide to do delayed batch processing of updates.

Large number of updates at run time affect the similar set of nodes.

Large number of updates is expected to have a very expensive updating cost.

A large number of tuple updating policy performs an unnecessary number of hash functions in its predecessor path.

The data in a database can be wrong due to a lost update that can lead to problems with normal operations.

One method for preventing lost update is to use optimistic concurrency control to perform optimistic locking on the data...

Answer 13

c.

Explanation of Solution

Problems caused to the lock table while updating a large number of tuples

When a transaction finds that a large number of tuples need to be updated actually at the run time, then owner can decide to do delayed batch processing of updates.

Large number of updates at run time affect the similar set of nodes.

Large number of updates is expected to have a very expensive updating cost.

A large number of tuple updating policy performs an unnecessary number of hash functions in its predecessor path.

The data in a database can be wrong due to a lost update that can lead to problems with normal operations.

One method for preventing lost update is to use optimistic concurrency control to perform optimistic locking on the data...

Answer 14

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Answer 15

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Answer 16

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Answer 17

Ch. 18 - Prob. 1PE Ch. 18 - Prob. 2PE Ch. 18 - Prob. 3PE Ch. 18 - Prob. 4PE Ch. 18 - Prob. 5PE Ch. 18 - Prob. 6PE Ch. 18 - Prob. 7PE Ch. 18 - Prob. 8PE Ch. 18 - Prob. 9PE Ch. 18 - Prob. 10PE

Lock for reading a lot of tuples from relation r The entire logical databases may be composed of databases of multiple users which contains each user database of multiple relations and each relation of multiple tuples...

Concept explainers

Explanation of Solution

Lock for reading a lot of tuples from relation r

The entire logical databases may be composed of databases of multiple users which contains each user database of multiple relations and each relation of multiple tuples...

Explanation of Solution

Explanation of Solution

Want to see the full answer?

Chapter 18 Solutions

Lock for reading a lot of tuples from relation r The entire logical databases may be composed of databases of multiple users which contains each user database of multiple relations and each relation of multiple tuples...

Concept explainers

Explanation of Solution

Lock for reading a lot of tuples from relation r The entire logical databases may be composed of databases of multiple users which contains each user database of multiple relations and each relation of multiple tuples...

Explanation of Solution

Lock for updating a lot of tuples from relation r If two locks IS and IX are compatible, then two IX locks and two IS locks will be compatible automatically. This is because it is natural to allow the both transactions T1 and T2 to IS lock or IX lock for reading or updating different data items...

Explanation of Solution

Want to see the full answer?

Chapter 18 Solutions

Lock for reading a lot of tuples from relation r

The entire logical databases may be composed of databases of multiple users which contains each user database of multiple relations and each relation of multiple tuples...