Add DP join reordering, statistics propagation, and column pruning#7
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Add DP join reordering, statistics propagation, and column pruning#7
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… query planner Three new optimization passes: - Join reorder: DP over bitmask subsets to find optimal dimension join ordering. Minimizes total probe cost respecting snowflake schema column dependencies between dims. - Statistics propagation: bottom-up estimated row counts through physical plan tree (scans, filters, joins, aggregates). - Column pruning: collect all referenced column keywords globally, then select-keys on scan nodes to remove unreferenced columns.
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Summary
compute-join-deps.select-keyson scan nodes to remove unreferenced columns. Reduces memory and compute for wide tables.All three passes integrate into the existing
optimizepipeline after predicate-pushdown and before operator-fusion.Test plan