Question
Consider the following schedule involving two transactions T1 and T2 operating on a dataset
table storing aggregate metrics:
| Time | T1 | T2 |
|---|---|---|
| t1 | READ(X) | |
| t2 | X = X + 50 | |
| t3 | READ(X) | |
| t4 | X = X * 1.2 | |
| t5 | WRITE(X) | |
| t6 | WRITE(X) |
i. Compute the final value of X (assume initial X = 100).
11. Determine whether the schedule is serializable.
iii. Identify the concurrency issue involved and explain its impact on analytics accuracy.
Answer :
Word Count : 252
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Transaction T1 first reads X with an initial value of 100 and then computes a new value by adding 50, giving a local value of 150. However, this value is not written immediately to the database. Before T1 writes back, transaction T2 reads X from the database, still obtaining the ____ ________ ___ ____ ______ ______ _____ _______ ________ __________ ______ __________.
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