How do you optimize a slow SQL query?

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A transaction in SQL is a sequence of one or more operations performed as a single, indivisible unit of work on a database. Transactions ensure that the database remains in a consistent state even in cases of system failures, errors, or concurrent access by multiple users. SQL transactions follow the ACID properties:

1. Atomicity – All operations within a transaction either complete successfully as a whole or are entirely rolled back if any part fails. This “all-or-nothing” approach prevents partial updates that could corrupt data.

2. Consistency – Transactions transform the database from one valid state to another while maintaining data integrity rules, constraints, and relationships.

3. Isolation – Transactions execute independently without interfering with each other, preventing issues like dirty reads, non-repeatable reads, or phantom reads. Different isolation levels control the degree of visibility of uncommitted changes to other transactions.

4. Durability – Once a transaction is committed, its changes are permanently saved to the database, even in the event of a system crash.

A transaction typically begins implicitly or explicitly, performs a series of database operations such as insertions, updates, or deletions, and ends with either a commit, making changes permanent, or a rollback, undoing all operations. Transactions are crucial in applications requiring reliable, concurrent, and error-free database operations, such as banking systems, inventory management, and e-commerce platforms. They ensure data accuracy, consistency, and recoverability under all conditions.

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