GATE CSEIT/Database/ Transition theory with Transition state and transition diagram

GATE CSEIT/Database/ Transition theory with Transition state and transition diagram

Transition Theory in Databases (GATE CSE/IT)

1. Introduction to Transition Theory

Transition theory in databases is related to the concept of transactions in a database management system (DBMS). A transaction is a sequence of operations that transforms a database from one consistent state to another.

Each transaction moves through various transition states, and these states can be represented using a transition diagram.

2. Transition States in a DBMS

A transaction follows a sequence of states during its execution. The main states of a transaction are:

  1. Active:

    • The transaction is being executed.
    • It can issue read/write operations on the database.
  2. Partially Committed:

    • The transaction has executed its final statement but is waiting for the commit operation.
  3. Committed:

    • The transaction successfully saves changes to the database.
    • The changes are permanent and cannot be rolled back.
  4. Failed:

    • An error occurs (e.g., system crash, constraint violation).
    • The transaction is no longer active.
  5. Aborted:

    • If a failure occurs, the transaction is rolled back.
    • The system either restarts the transaction or discards it.

3. Transition Diagram for a Transaction

A transition diagram visually represents how a transaction moves through different states.

pgsql
Start

(Active)
| |
| → (Failed) → (Aborted)

(Partially Committed)

(Committed
  • Active → Partially Committed: After the last operation executes.
  • Partially Committed → Committed: When changes are successfully saved.
  • Active → Failed: If an error occurs during execution.
  • Failed → Aborted: If rollback is performed.
  • Aborted → Active (Restart): If the transaction is retried.

4. Important Properties of Transactions (ACID)

  • Atomicity: Transaction is all or nothing (either fully completed or fully rolled back).
  • Consistency: Ensures database remains consistent before and after the transaction.
  • Isolation: Transactions execute independently (concurrent transactions don’t affect each other).
  • Durability: Once committed, changes remain permanent, even after a system failure.

5. Importance of Transition Theory in DBMS

  • Helps understand transaction execution flow.
  • Ensures fault tolerance and consistency in databases.
  • Forms the basis of concurrency control and recovery mechanisms in DBMS.

Would you like more examples or a deep dive into concurrency control techniques related to transaction theory?

GATE CSEIT/Database/ Transition theory with Transition state and transition diagram

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