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tempdbconfigurationperformance

TempDB configuration red flags we see every month

Uneven files, tiny autogrowth, and contention patterns that make TempDB the hidden bottleneck on busy systems.

TempDB is shared by almost everything: sorts, hashes, version store, spills, snapshots, temporary objects. When it is misconfigured, the whole instance feels slow.

Red flags from health checks

  • A single data file on a multi-core, high-concurrency system
  • Multiple files of unequal size (one giant, several tiny)
  • Autogrowth set to 1MB or 10% on multi-GB files
  • TempDB on the slowest storage tier
  • No monitoring of free space or version-store growth
  • Trace of repeated autogrowth during peak hours

What “healthier” usually means

  • Multiple equally sized data files (count tuned to workload, not dogma)
  • Pre-sized files that reduce growth events
  • Fixed MB growth increments
  • Fast storage with capacity headroom
  • Attention to spills and long-running transactions that bloat version store

How this connects to performance work

Wait stats often point at TempDB allocation or I/O under load. Fixing queries without fixing TempDB layout is half a job. Fixing layout without understanding spills is the other half.

A health check identifies the configuration risks; a tuning engagement proves which ones hurt your workload.

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