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t

org.apache.spark.sql.delta.perf

OptimizeMetadataOnlyDeltaQuery

trait OptimizeMetadataOnlyDeltaQuery extends Logging

Optimize COUNT, MIN and MAX expressions on Delta tables. This optimization is only applied when the following conditions are met: - The MIN/MAX columns are not nested and data type is supported by the optimization (ByteType, ShortType, IntegerType, LongType, FloatType, DoubleType, DateType). - All AddFiles in the Delta Log must have stats on columns used in MIN/MAX expressions, or the columns must be partitioned, in the latter case it uses partitionValues, a required field. - Table has no deletion vectors, or query has no MIN/MAX expressions. - COUNT has no DISTINCT. - Query has no filters. - Query has no GROUP BY. Example of valid query: SELECT COUNT(*), MIN(id), MAX(partition_col) FROM MyDeltaTable

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Type Members

  1. case class DeltaColumnStat(min: Any, max: Any) extends Product with Serializable

    Min and max values from Delta Log stats or partitionValues.

Abstract Value Members

  1. abstract def getDeltaScanGenerator(index: TahoeLogFileIndex): DeltaScanGenerator
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  11. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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  29. final def notifyAll(): Unit
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  30. def optimizeQueryWithMetadata(plan: LogicalPlan): LogicalPlan
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  36. object MetadataOptimizableAggregate

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