Partition effectiveness metrics: (1) Partition pruning—% of partitions scanned vs total; aim for high pruning on typical queries. (2) Data skew—partition sizes; avoid huge variance. (3) Small files—count of files < threshold; need compaction. (4) Query latency—p50, p99. (5) Scan size—bytes read per query. (6) Compaction frequency. Tools: Spark UI, query explain, table stats. Best practice: Monitor over time; adjust partition keys based on query patterns....
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