Quiz: What is Database Sharding?
Database Sharding splits dataset rows across distinct database nodes based on a shard key to overcome single-node resource limits.
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Database Sharding splits dataset rows across distinct database nodes based on a shard key to overcome single-node resource limits.
Connection Pooling reuses established database TCP handles, eliminating latency caused by constant handshake negotiations.
WHERE filters individual rows before aggregation; HAVING filters grouped aggregate metrics (e.g. HAVING COUNT(*) > 5 ).
Database Indexes dramatically reduce full table scans by creating sorted pointer trees for quick search execution.
DELETE removes rows individually with transaction log overhead; TRUNCATE resets data pages instantly without row triggers.
A FOREIGN KEY ensures that values in a child table column match existing values in a referenced parent table primary key.
Under Read Committed isolation, transactions can only view committed data, preventing uncommitted dirty reads.
Composite Primary Keys use multiple attribute combinations (e.g. user_id, role_id ) to ensure uniqueness.