rejected

Active, Partially committed, Committed, Abort, End

completed

processing

Atomicity, Consistency, Isolation, and Reliability

ACID properties are Atomicity, Consistency, Isolation, and Durability.

Accuracy, Clarity, Integrity, and Reliability

Atomicity, Concurrency, Isolation, and Durability

Atomicity means transactions can be split into multiple parts.

Atomicity refers to the speed of transaction processing.

Atomicity ensures that a transaction is all-or-nothing.

Atomicity allows partial transactions to be committed.

Consistency refers to the speed of database transactions.

Consistency means that all transactions are processed in the same order.

Consistency allows for temporary data loss during transactions.

Consistency ensures that a database remains in a valid state before and after a transaction.

Isolation increases the speed of transactions by allowing data duplication.

Isolation prevents transactions from affecting each other, ensuring data integrity.

Isolation allows multiple transactions to run simultaneously without any restrictions.

Isolation is used to combine multiple transactions into a single operation.

Durability ensures that once a transaction is committed, it remains permanent, even in the event of failures, providing reliability and consistency in data management.

Durability is about the temporary storage of data during transactions.

Durability ensures that transactions can be easily reversed at any time.

Durability refers to the speed of transaction processing.

COMMIT, ROLLBACK, SAVEPOINT

DELETE

BEGIN TRANSACTION

UPDATE

Concurrency control increases the speed of transaction processing without any drawbacks.

Concurrency control is only necessary for read operations, not for writes.

Concurrency control allows for unlimited simultaneous transactions without issues.

Concurrency control prevents data inconsistencies and ensures data integrity during simultaneous transactions.

Transaction logging, checkpointing, data replication

Data encryption

Indexing strategies

Query optimization

Durability ensures that transactions can be rolled back at any time.

Durability is concerned with the speed of transaction execution.

Durability allows for the temporary storage of transaction data.

Durability guarantees that all changes made by a transaction are saved permanently, even in case of a system failure.

A SAVEPOINT allows you to set a point within a transaction to which you can later roll back.

A SAVEPOINT is used to commit a transaction.

A SAVEPOINT is a method for deleting records in a database.

A SAVEPOINT is a type of database backup.

Both serial and non-serial schedules execute transactions simultaneously without any order.

A serial schedule can execute multiple transactions at once, while a non-serial schedule cannot.

A serial schedule allows overlapping execution of transactions, while a non-serial schedule executes them sequentially.

A serial schedule executes transactions sequentially without overlap, while a non-serial schedule allows overlapping execution of transactions.

Serializability is a technique for improving database performance by reducing storage space.

Serializability is a method for compressing database files.

Serializability allows transactions to run in parallel without any restrictions.

Serializability is crucial in database transactions as it guarantees consistency and correctness of the database, ensuring that concurrent transactions do not interfere with each other.

Concurrency is necessary to enable simultaneous access, ensure data integrity, and improve performance in database systems.

Concurrency is primarily used for data backup purposes.

Concurrency reduces the complexity of database transactions.

Concurrency is only needed for large databases.

Common issues from concurrency in databases include lost updates, dirty reads, non-repeatable reads, and phantom reads.

Faster query execution

Increased storage requirements

Data redundancy

Locking mechanisms

Timestamping

Optimistic concurrency control

Isolation levels

Locking increases the speed of database operations by reducing wait times.

Locking prevents concurrent transactions from conflicting, ensuring data integrity and consistency.

Locking allows multiple transactions to access the same data simultaneously.

Locking is only necessary for read operations, not for writes.

First Normal Form (1NF)

Second Normal Form (2NF)

Third Normal Form (3NF)

Fourth Normal Form (4NF)

First Normal Form (1NF)

Second Normal Form (2NF)

Third Normal Form (3NF)

Boyce-Codd Normal Form (BCNF)

Determinants

Repeating columns

Null values in primary key fields

Functional dependencies