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Cost-based optimizer with table statistics #29

@renecannao

Description

@renecannao

Current optimizer is rule-based (4 rules: predicate pushdown, projection pruning, constant folding, limit pushdown).

Cost-based optimization needs:

  • Table statistics (row count, distinct values per column, histograms)
  • Cost model (estimate I/O, CPU, network for each operator)
  • Plan enumeration (compare alternative plans)
  • Join reordering
  • Hash join vs nested-loop selection

Spec: docs/superpowers/specs/2026-04-04-optimizer-design.md (architected for this extension)

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