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

Expert MS SQL

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.

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Source: SugharaIQ

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