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TRANSACTION MANAGEMENT IN DBMS: WHAT ARE ACID PROPERTIES?

ByRichard Peterson Hours UpdatedOctober 29, 2022


WHAT IS A DATABASE TRANSACTION?

A Database Transaction is a logical unit of processing in a DBMS which entails
one or more database access operation. In a nutshell, database transactions
represent real-world events of any enterprise.

All types of database access operation which are held between the beginning and
end transaction statements are considered as a single logical transaction in
DBMS. During the transaction the database is inconsistent. Only once the
database is committed the state is changed from one consistent state to another.



Database Transaction

In this tutorial, you will learn:

 * What is a Database Transaction?
 * Facts about Database Transactions
 * Why do you need concurrency in Transactions?
 * States of Transactions
 * What are ACID Properties?
 * Types of Transactions
 * What is a Schedule?


FACTS ABOUT DATABASE TRANSACTIONS

 * A transaction is a program unit whose execution may or may not change the
   contents of a database.
 * The transaction concept in DBMS is executed as a single unit.
 * If the database operations do not update the database but only retrieve data,
   this type of transaction is called a read-only transaction.
 * A successful transaction can change the database from one CONSISTENT STATE to
   another
 * DBMS transactions must be atomic, consistent, isolated and durable
 * If the database were in an inconsistent state before a transaction, it would
   remain in the inconsistent state after the transaction.


WHY DO YOU NEED CONCURRENCY IN TRANSACTIONS?

A database is a shared resource accessed. It is used by many users and processes
concurrently. For example, the banking system, railway, and air reservations
systems, stock market monitoring, supermarket inventory, and checkouts, etc.

Not managing concurrent access may create issues like:


 * Hardware failure and system crashes
 * Concurrent execution of the same transaction, deadlock, or slow performance


STATES OF TRANSACTIONS

The various states of a transaction concept in DBMS are listed below:

State Transaction types Active State A transaction enters into an active state
when the execution process begins. During this state read or write operations
can be performed. Partially Committed A transaction goes into the partially
committed state after the end of a transaction. Committed State When the
transaction is committed to state, it has already completed its execution
successfully. Moreover, all of its changes are recorded to the database
permanently. Failed State A transaction considers failed when any one of the
checks fails or if the transaction is aborted while it is in the active state.
Terminated State State of transaction reaches terminated state when certain
transactions which are leaving the system can’t be restarted.

State Transition Diagram for a Database Transaction

Let’s study a state transition diagram that highlights how a transaction moves
between these various states.

 1. Once a transaction states execution, it becomes active. It can issue READ or
    WRITE operation.
 2. Once the READ and WRITE operations complete, the transactions becomes
    partially committed state.
 3. Next, some recovery protocols need to ensure that a system failure will not
    result in an inability to record changes in the transaction permanently. If
    this check is a success, the transaction commits and enters into the
    committed state.
 4. If the check is a fail, the transaction goes to the Failed state.
 5. If the transaction is aborted while it’s in the active state, it goes to the
    failed state. The transaction should be rolled back to undo the effect of
    its write operations on the database.
 6. The terminated state refers to the transaction leaving the system.




WHAT ARE ACID PROPERTIES?

ACID Properties are used for maintaining the integrity of database during
transaction processing. ACID in DBMS stands for Atomicity, Consistency,
Isolation, and Durability.

 * Atomicity: A transaction is a single unit of operation. You either execute it
   entirely or do not execute it at all. There cannot be partial execution.
 * Consistency: Once the transaction is executed, it should move from one
   consistent state to another.
 * Isolation: Transaction should be executed in isolation from other
   transactions (no Locks). During concurrent transaction execution,
   intermediate transaction results from simultaneously executed transactions
   should not be made available to each other. (Level 0,1,2,3)
 * Durability: · After successful completion of a transaction, the changes in
   the database should persist. Even in the case of system failures.


ACID PROPERTY IN DBMS WITH EXAMPLE:

Below is an example of ACID property in DBMS:

Transaction 1: Begin X=X+50, Y = Y-50 END
Transaction 2: Begin X=1.1*X, Y=1.1*Y END


Transaction 1 is transferring $50 from account X to account Y.

Transaction 2 is crediting each account with a 10% interest payment.

If both transactions are submitted together, there is no guarantee that the
Transaction 1 will execute before Transaction 2 or vice versa. Irrespective of
the order, the result must be as if the transactions take place serially one
after the other.


TYPES OF TRANSACTIONS

Based on Application areas

 * Non-distributed vs. distributed
 * Compensating transactions
 * Transactions Timing
 * On-line vs. batch

Based on Actions

 * Two-step
 * Restricted
 * Action model

Based on Structure

 * Flat or simple transactions: It consists of a sequence of primitive
   operations executed between a begin and end operations.
 * Nested transactions: A transaction that contains other transactions.
 * Workflow




WHAT IS A SCHEDULE?

A Schedule is a process creating a single group of the multiple parallel
transactions and executing them one by one. It should preserve the order in
which the instructions appear in each transaction. If two transactions are
executed at the same time, the result of one transaction may affect the output
of other.

Example

Initial Product Quantity is 10
Transaction 1: Update Product Quantity to 50
Transaction 2: Read Product Quantity


If Transaction 2 is executed before Transaction 1, outdated information about
the product quantity will be read. Hence, schedules are required.

Parallel execution in a database is inevitable. But, Parallel execution is
permitted when there is an equivalence relation amongst the simultaneously
executing transactions. This equivalence is of 3 Types.

RESULT EQUIVALENCE:

If two schedules display the same result after execution, it is called result
equivalent schedule. They may offer the same result for some value and different
results for another set of values. For example, one transaction updates the
product quantity, while other updates customer details.

View Equivalence

View Equivalence occurs when the transaction in both the schedule performs a
similar action. Example, one transaction inserts product details in the product
table, while another transaction inserts product details in the archive table.
The transaction is the same, but the tables are different.

CONFLICT Equivalence

In this case, two transactions update/view the same set of data. There is a
conflict amongst transaction as the order of execution will affect the output.


WHAT IS SERIALIZABILITY?

Serializability is the process of search for a concurrent schedule who output is
equal to a serial schedule where transaction are execute one after the other.
Depending on the type of schedules, there are two types of serializability:

 * Conflict
 * View


SUMMARY:

 * Transaction management is a logical unit of processing in a DBMS which
   entails one or more database access operation
 * It is a transaction is a program unit whose execution may or may not change
   the contents of a database.
 * Not managing concurrent access may create issues like hardware failure and
   system crashes.
 * Active, Partially Committed, Committed, Failed & Terminate are important
   transaction states.
 * The full form of ACID Properties in DBMS is Atomicity, Consistency,
   Isolation, and Durability
 * Three DBMS transactions types are Base on Application Areas, Action, &
   Structure.
 * A Schedule is a process creating a single group of the multiple parallel
   transactions and executing them one by one.
 * Serializability is the process of search for a concurrent schedule whose
   output is equal to a serial schedule where transactions are executed one
   after the other.


YOU MIGHT LIKE:

 * DBMS Schemas: Internal, Conceptual, External
 * DBMS Concurrency Control: Timestamp & Lock-Based Protocols
 * SQL vs NoSQL – Difference Between Them
 * Difference Between Primary key and Unique key
 * DBMS Tutorial PDF: Database Management Systems


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