Answer
TempDB handles sorts, hashes, temp tables, versioning, and spill operations. Heavy workloads can cause latch contention and I/O bottlenecks. Optimizing TempDB improves concurrency and stabilizes system-wide performance.
Quick Answer
TempDB is shared by all sessions — temp tables, sorts, hash joins, row versioning all land there. Contention on TempDB allocation pages throttles the whole server. Spill-to-TempDB from undersized memory grants is often the hidden bottleneck in slow queries. Multiple data files and fast NVMe storage are baseline requirements.
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SugharaIQ Editorial Team
Verified Answer
This answer has been peer-reviewed by industry experts holding senior engineering roles to ensure technical accuracy and relevance for modern interview standards.
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Source: SugharaIQ