1. Consider a distributed database for a bookstore with 4 sites called S1, S2, S3 and S4. Consider the following relations: Books ( ISBN, primary Author, topic, total Stock, price ) Book Store (store No, city, state, zip, inventoryValue ) Stock (store No, ISBN, Qty ) Total Stock is the total number of books in stock and inventory Value is the total inventory value for the store in dollars. Consider that Books are fragmented by price amounts into: F1: Books: price up to $20 F2: Books: price from $20.01 to $50 F3: Books: price from $50.01 to $100 F4: Books: price $100.01 and above Similarly, Book Stores are divided by ZIP codes into: S1: Bookstore: Zip up to 25000 S2: Bookstore: Zip 25001 to 50000 S3: Bookstore: Zip 50001 to 75000 S4: Bookstore: Zip 75001 to 99999 Task: Write SQL query for the following 1. Insert and Display details in each table. 2. Find the total number of books in stock where price is between $15 and $55. 3. Update the book price of book No=1234 from $45 to $55 at site S3. 4. Find total number of book at site S2. 2. Implement deadlock detection algorithm for distributed database using wait-for graph and test with the following information. Consider five transactions T1, T2, T3, T4 and T5 with T1 initiated at site S1 and spawning an agent at site S2 T2 initiated at site S3 and spawning an agent at site S1 T3 initiated at site S1 and spawning an agent at site S3 T4 initiated at site S2 and spawning an agent at site S3 T5 initiated at site S3 [Transactions] [Data items locked [Data items transaction [Site involved by transactions] is waiting for] in operations] T1 X1 X8 S1 T1 X6 X2 S2 T2 X4 X1 S1 T2 X5 - S3 T3 X2 X7 S1 T3 - X3 S3 T4 X7 - S2 T4 X8 X5 S3 T5 X3 X7 S3
Produce local wait for graph for each of the sites and construct global wait for graph and check for dead lock.
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