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Which indexing mistakes cause the most issues in high-traffic systems?

Expert MS SQL
Quick Answer Top indexing mistakes: too many indexes (slows writes, wastes space), wrong leading column (index unused), missing covering columns (causes key lookups), ignoring fill factor (causes page splits), never maintaining fragmentation, and duplicate indexes that the optimizer ignores while still costing maintenance overhead.

Answer

Common indexing mistakes include:

  • Too many non-clustered indexes
  • Lack of covering indexes for hot queries
  • Poor clustered key choice (wide, GUID, non-sequential)
  • Duplicate or overlapping indexes
  • Not using filtered indexes

These increase I/O, fragmentation, and reduce plan efficiency.

S
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

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