![]() In this type of schedule, one transaction doesn’t wait for the completion of another transaction. All the transactions in this process are performed in a non-serial manner that helps make the final result correct, so it becomes the same as the serial schedule. There is a strong chance of concurrency issues. If multiple transactions in operation are interleaved, then it is considered non-serial scheduling. If the serializability includes blind writes, then the view serializable can’t be considered a conflict serializable.Īlso See: What is data Extraction and Tools in DBMS? ![]() => One of two transactions is a written operation.Ī view serializable is a schedule that is viewed similar to a serial schedule without any overlapping transactions. => These transactions are working on the same type of data item. => They related with the different sets of transactions A set of operations can be considered conflicting when the following conditions are met: The serializable schedules are further divided into two categories we have mentioned in detail below:Ī conflict serializable can be defined as a schedule that can be transformed into a serial schedule by exchanging non-conflicting operations. Check out the table B to have better understanding. All the operations of Y2 are performed before the execution of all the operations of Y1.Check out table A to have a better understanding. All the operations of Y1 are performed before the execution of all the operations of Y2.A schedule having Y1 and Y2 will be serial if at least the following two conditions are fulfilled. Think there are two transactions Y1 and Y2 in the system. ![]() Let’s understand schedules in detail by the following example: ![]()
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