please need help with these thank you Question 6Transaction 1:Set Transaction Isolation Level Repeatable Read;Select count(*) From R;Select count(*) Fros S;Select count (*) From R;Conmit;Transaction 2:Set Transaction Isolation Level Serializable;Insert Into R Values (1,2);Conmit;O Yes, nonserializable behavior is possibleO No, nonserializable behavior is riot possible Question 4Transaction 1:Set Transaction Isolation Level Read Committed;Select count (*) From R;Select count (*) From S;Commit;Transaction 2:Set Transaction Isolation Level Serializable;Insert Into R Values (1,2);Insert Into S Values (3);Commit;O Yes, nonserializable behavior is possibleO No, nonserializable behavior is not possibleQuestion 5Transaction 1:Set Transaction Isolation Level Read Committed;Select count(*) From R;Select count(*) From S;Commit;Transaction 2:Set Transaction Isolation Level Serializable;Insert Into R Values (1,2);Insert Into R Values (3,4);Conmit;O Yes, nonserializable behavior is possibleO No, nonserializable behavior is not possible

Note: There are multiple questions are given in one question. According to the rule, you will get…

Question 6 Transaction 1: Set Transaction Isolation Level Repeatable Read; Select count(*) Froe R; Select count() Fros S; Select count (*) From R; Comit;

Question 6 Transaction 1: Set Transaction Isolation Level Repeatable Read; Select count() Froe R; Select count() Fros S; Select count () From R; Comit;

Database Systems: Design, Implementation, & Management

11th Edition

ISBN:9781285196145

Author:Steven, Steven Morris, Carlos Coronel, Carlos, Coronel, Carlos; Morris, Carlos Coronel and Steven Morris, Carlos Coronel; Steven Morris, Steven Morris; Carlos Coronel

Publisher:Steven, Steven Morris, Carlos Coronel, Carlos, Coronel, Carlos; Morris, Carlos Coronel and Steven Morris, Carlos Coronel; Steven Morris, Steven Morris; Carlos Coronel

Chapter10: Transaction Management And Concurrency Control

Section: Chapter Questions

Problem 15RQ

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please need help with these thank you

Question 4
Transaction 1:
Set Transaction Isolation Level Read Committed;
Select count (*) From R;
Select count (*) From S;
Commit;
Transaction 2:
Set Transaction Isolation Level Serializable;
Insert Into R Values (1,2);
Insert Into S Values (3);
Commit;
O Yes, nonserializable behavior is possible
O No, nonserializable behavior is not possible
Question 5
Transaction 1:
Set Transaction Isolation Level Read Committed;
Select count(*) From R;
Select count(*) From S;
Commit;
Transaction 2:
Set Transaction Isolation Level Serializable;
Insert Into R Values (1,2);
Insert Into R Values (3,4);
Conmit;
O Yes, nonserializable behavior is possible
O No, nonserializable behavior is not possible

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Consider a table Products(name, price). There are two tuples in Products: ('OK',2000) and ('Good',3000). Consider the following two concurrent transactions, each of which runs once and commits. Transaction 1 ----------------- Begin Transaction insert into Products values (`Awesome',4000); update Products set price = price+300 where name=’OK’; commit; Transaction 2 ----------------- Begin Transaction select sum(price) from Products; select sum(price) from Products; commit; The databases serializability module stopped working. What possible values (consistent and inconsistent) can be obtained for the two sum(price) SELECT statements ? NOTE: The second transaction is consisting of only read statements. It may be scheduled between Transaction 1 and may read incosistent values.
3. Write the transaction log using Table 10.1 from the textbook as your guide. Assume that product ‘ABCD’ has a PROD_QOH = 1,214 at the start of the transaction and that the transaction is representing the addition of 1 new product. Also assume that PART components “AAAA”, “BBBB”, “CCCC” and “DDDD” have a PROD_QOH equal to 547, 108, 249, and 89 respectively. 4. Using the transaction log you created in Step 3 above, trace its use in a database recovery. Do this in a similar table format (see Table 10.16 in book) by backing out each transaction and resetting the BEFORE and AFTER values accordingly. Begin with the last id for the transaction and work backward using the prev_ptr to identify the next step to undo moving from the end of the transaction back to the beginning.
Write the transaction log using Table 10.1 from the textbook as your guide. Assume that product ‘ABCD’ has a PROD_QOH = 1,214 at the start of the transaction and that the transaction is representing the addition of 1 new product. Also assume that PART components “AAAA”, “BBBB”, “CCCC” and “DDDD” have a PROD_QOH equal to 547, 108, 249, and 89 respectively.
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For the following two transactions and the initial table values as shown complete the missing blanks in the transaction log below: Part_ID Desrption OnHand OnOrder 57 Assembled Foo 5 0 987 Foo Fastener 12 7 989 Foo Half 7 0 BEGIN TRANSACTION; UPDATE Part SET OnHand = OnHand + 7, OnOrder = OnOrder – 7 WHERE Part_ID = 987; COMMIT; BEGIN TRANSACTION; UPDATE Part SET OnHand = OnHand - 4 WHERE Part_ID = 987; UPDATE Part SET OnHand = OnHand - 2 WHERE Part_ID = 989; UPDATE Part SET OnHand = OnHand + 1 WHERE Part_ID = 57; COMMIT TRL_ID TRX_ID PREV_PTR NEXT_PTR OPERATION TABLE ROW ID ATTRIBUTE BEFORE VALUE AFTER VALUE 1787 109 NULL START **** 1788 109 1787 UPDATE PART 987 OnHand 12 1789 109 UPDATE PART 987 OnOrder 7 1790 109 NULL COMMIT **** 1791 110 NULL START **** 1792 110 UPDATE…
Consider a failure that occurs during 2PC for a transaction. For each possible failure that you listed in Exercise 23.2a, explain how 2PC ensures transaction atomicity despite the failure.
When a transaction is rolled back in accordance with timestamp ordering, a new timestamp is assigned to it. Why can't it simply retain its previous timestamp?
An error may occur during a transaction's execution, such as if a transaction fails (due to a system failure or other causes) before it is committed. The entire amount before a transaction may also be shown in certain cases. There may be a variation in the total amount after the transaction. there is a difference between the sending and receiving amount Let's look at the characteristics of transaction are needed to address issues in an example of a possible situation
A new timestamp will be applied to a transaction in line with the ordering of timestamps if that transaction is rolled back. Why is it that it can't just keep the timestamp that it had before?
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