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Database System Sunita M. Dol
Page 1
HANDOUT#15
Aim:
Write a program to simulate any one concurrency control protocol.
Theory:
Timestamp-based Protocol
Each transaction is issued a timestamp when it enters the system. If an old transaction Ti has
time-stamp TS(Ti), a new transaction Tj is assigned time-stamp TS(Tj) such that TS(Ti) <TS(Tj).
The protocol manages concurrent execution such that the time-stamps determine the
serializability order.
In order to assure such behavior, the protocol maintains for each data Q two timestamp values:
• W-timestamp (Q) is the largest time-stamp of any transaction that executed write(Q)
successfully.
• R-timestamp (Q) is the largest time-stamp of any transaction that executed read(Q)
successfully.
The timestamp ordering protocol ensures that any conflicting read and write operations are
executed in timestamp order.
• Suppose a transaction Ti issues a read(Q)
o If TS(Ti) ≤ W-timestamp(Q), then Ti needs to read a value of Q that was already
overwritten.
Hence, the read operation is rejected, and Ti is rolled back.
o If TS(Ti)≥ W-timestamp(Q), then the read operation is executed, and R-
timestamp(Q) is set to max(R-timestamp(Q), TS(Ti)).
• Suppose that transaction Ti issues write(Q).
o If TS(Ti) < R-timestamp(Q), then the value of Q that Ti is producing was needed
previously, and the system assumed that that value would never be produced.
Hence, the write operation is rejected, and Ti is rolled back.
o If TS(Ti) < W-timestamp(Q), then Ti is attempting to write an obsolete value of Q.
Hence, this write operation is rejected, and Ti is rolled back.
o Otherwise, the write operation is executed, and W-timestamp(Q) is set to TS(Ti).
Example:
consider transactions T14 and T15. Transaction T14 displays the contents of accounts A and B:
T14:read(B);
read(A);
display(A + B).
Transaction T15 transfers $50 from account A to account B, and then displays the contents of
both:
Database System Sunita M. Dol
Page 2
T15: read(B);
B := B − 50;
write(B);
read(A);
A := A + 50;
write(A);
display(A + B).
in presenting schedules under the timestamp protocol, we shall assume that a transaction is
assigned a timestamp immediately before its first instruction. Thus, in schedule 3 of Figure,
TS(T14) < TS(T15), and the schedule is possible under the timestamp protocol.
Figure: Schedule 3.
The protocol can generate schedules that are not recoverable. However, it can be extended to
make the schedules recoverable, in one of several ways:
• Recoverability and cascadelessness can be ensured by performing all writes together at
the end of the transaction. The writes must be atomic in the following sense: While the
writes are in progress, no transaction is permitted to access any of the data items that
have been written.
• Recoverability and cascadelessness can also be guaranteed by using a limited form of
locking, whereby reads of uncommitted items are postponed until the transaction that
updated the item commits.
• Recoverability alone can be ensured by tracking uncommitted writes, and allowing a
transaction Ti to commit only after the commit of any transaction that wrote a value that
Ti read.
Database System Sunita M. Dol
Page 3
Program:
Input and Output:
Conclusion:
We have implemented a program to simulate Timestamp-based concurrency control protocol in
Java. Each transaction is issued a timestamp when it enters the system. If an old transaction Ti
has time-stamp TS(Ti), a new transaction Tj is assigned time-stamp TS(Tj) such that TS(Ti)
<TS(Tj). The protocol manages concurrent execution such that the time-stamps determine the
serializability order.
References:
• Database system concepts by Abraham Silberschatz, Henry F. Korth, S. Sudarshan
(McGraw Hill International Edition) sixth edition.
• Database system concepts by Abraham Silberschatz, Henry F. Korth, S. Sudarshan
(McGraw Hill International Edition) fifth edition.
• http://codex.cs.yale.edu/avi/db-book/db4/slide-dir/
• http://codex.cs.yale.edu/avi/db-book/db5/slide-dir/
• http://codex.cs.yale.edu/avi/db-book/db6/slide-dir/

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Assignment#15

  • 1. Database System Sunita M. Dol Page 1 HANDOUT#15 Aim: Write a program to simulate any one concurrency control protocol. Theory: Timestamp-based Protocol Each transaction is issued a timestamp when it enters the system. If an old transaction Ti has time-stamp TS(Ti), a new transaction Tj is assigned time-stamp TS(Tj) such that TS(Ti) <TS(Tj). The protocol manages concurrent execution such that the time-stamps determine the serializability order. In order to assure such behavior, the protocol maintains for each data Q two timestamp values: • W-timestamp (Q) is the largest time-stamp of any transaction that executed write(Q) successfully. • R-timestamp (Q) is the largest time-stamp of any transaction that executed read(Q) successfully. The timestamp ordering protocol ensures that any conflicting read and write operations are executed in timestamp order. • Suppose a transaction Ti issues a read(Q) o If TS(Ti) ≤ W-timestamp(Q), then Ti needs to read a value of Q that was already overwritten. Hence, the read operation is rejected, and Ti is rolled back. o If TS(Ti)≥ W-timestamp(Q), then the read operation is executed, and R- timestamp(Q) is set to max(R-timestamp(Q), TS(Ti)). • Suppose that transaction Ti issues write(Q). o If TS(Ti) < R-timestamp(Q), then the value of Q that Ti is producing was needed previously, and the system assumed that that value would never be produced. Hence, the write operation is rejected, and Ti is rolled back. o If TS(Ti) < W-timestamp(Q), then Ti is attempting to write an obsolete value of Q. Hence, this write operation is rejected, and Ti is rolled back. o Otherwise, the write operation is executed, and W-timestamp(Q) is set to TS(Ti). Example: consider transactions T14 and T15. Transaction T14 displays the contents of accounts A and B: T14:read(B); read(A); display(A + B). Transaction T15 transfers $50 from account A to account B, and then displays the contents of both:
  • 2. Database System Sunita M. Dol Page 2 T15: read(B); B := B − 50; write(B); read(A); A := A + 50; write(A); display(A + B). in presenting schedules under the timestamp protocol, we shall assume that a transaction is assigned a timestamp immediately before its first instruction. Thus, in schedule 3 of Figure, TS(T14) < TS(T15), and the schedule is possible under the timestamp protocol. Figure: Schedule 3. The protocol can generate schedules that are not recoverable. However, it can be extended to make the schedules recoverable, in one of several ways: • Recoverability and cascadelessness can be ensured by performing all writes together at the end of the transaction. The writes must be atomic in the following sense: While the writes are in progress, no transaction is permitted to access any of the data items that have been written. • Recoverability and cascadelessness can also be guaranteed by using a limited form of locking, whereby reads of uncommitted items are postponed until the transaction that updated the item commits. • Recoverability alone can be ensured by tracking uncommitted writes, and allowing a transaction Ti to commit only after the commit of any transaction that wrote a value that Ti read.
  • 3. Database System Sunita M. Dol Page 3 Program: Input and Output: Conclusion: We have implemented a program to simulate Timestamp-based concurrency control protocol in Java. Each transaction is issued a timestamp when it enters the system. If an old transaction Ti has time-stamp TS(Ti), a new transaction Tj is assigned time-stamp TS(Tj) such that TS(Ti) <TS(Tj). The protocol manages concurrent execution such that the time-stamps determine the serializability order. References: • Database system concepts by Abraham Silberschatz, Henry F. Korth, S. Sudarshan (McGraw Hill International Edition) sixth edition. • Database system concepts by Abraham Silberschatz, Henry F. Korth, S. Sudarshan (McGraw Hill International Edition) fifth edition. • http://codex.cs.yale.edu/avi/db-book/db4/slide-dir/ • http://codex.cs.yale.edu/avi/db-book/db5/slide-dir/ • http://codex.cs.yale.edu/avi/db-book/db6/slide-dir/