Conflict Serializable Schedule
In database management systems, ensuring consistency during concurrent transaction execution is critical. One widely used concept to guarantee this is conflict serializability.
If a schedule can be converted into a serial schedule by switching non-conflicting operations, it is said to be conflict serialisable. In other words, the schedule behaves as if the transactions were executed one after another in some order, without losing correctness.
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Conflicting Operations
If all of the following criteria are met, two operations are deemed to be incompatible:
- They belong to different transactions.
- They operate on the same data item.
- At least one of them is a write operation.
If these conditions are met, the order of operations matters. Otherwise, operations can be swapped without affecting the result.
Example:
- Two read operations on the same data item that come from different transactions are interchangeable and do not clash.
- The operations clash if the same item is written in one transaction and read in another.
Conflict Equivalent
It is said that two schedules are conflict comparable if
- They involve the same set of transactions.
- For every pair of conflicting operations, the order is preserved in both schedules.
This implies that only non-conflicting operations need to be switched in order to change one timetable into another.
Example of Conflict Serializable Schedule
Consider two transactions T1 and T2:
Schedule S1:
T1: Read(A), Write(A)
T2: Read(B), Write(B)
Schedule S2 (Serial):
T1: Read(A), Write(A), Read(B), Write(B)
T2: -
Here, S1 can be transformed into S2 by rearranging non-conflicting operations. Since the transformation is possible, S1 is conflict serializable.
On the other hand, if operations cannot be swapped without violating conflict conditions, the schedule is not conflict serializable.
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Key Takeaway
Conflict serializability ensures that even in concurrent execution, the outcome remains consistent with some serial order of transactions. It acts as a strong correctness criterion in DBMS and helps avoid problems like lost updates, dirty reads, and inconsistent data.
For more deep-dive articles on DBMS concepts, visit UpdateGadh.
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