Struct RowGroupPruningStatistics 

struct RowGroupPruningStatistics<'a> {
    parquet_schema: &'a SchemaDescriptor,
    row_group_metadatas: Vec<&'a RowGroupMetaData>,
    arrow_schema: &'a Schema,
}

Wraps a slice of [RowGroupMetaData] in a way that implements PruningStatistics

Fields

parquet_schema: &'a SchemaDescriptor

row_group_metadatas: Vec<&'a RowGroupMetaData>

arrow_schema: &'a Schema

Implementations

impl<'a> RowGroupPruningStatistics<'a>

fn metadata_iter(&'a self) -> impl Iterator<Item = &'a RowGroupMetaData> + 'a

Return an iterator over the row group metadata

fn statistics_converter<'b>( &'a self, column: &'b Column, ) -> Result<StatisticsConverter<'a>>

Trait Implementations

impl PruningStatistics for RowGroupPruningStatistics<'_>

fn min_values(&self, column: &Column) -> Option<ArrayRef>

Return the minimum values for the named column, if known.

fn max_values(&self, column: &Column) -> Option<ArrayRef>

Return the maximum values for the named column, if known.

fn num_containers(&self) -> usize

Return the number of containers (e.g. Row Groups) being pruned with these statistics.

fn null_counts(&self, column: &Column) -> Option<ArrayRef>

Return the number of null values for the named column as an UInt64Array

fn row_counts(&self, column: &Column) -> Option<ArrayRef>

Return the number of rows for the named column in each container as an UInt64Array.

fn contained( &self, _column: &Column, _values: &HashSet<ScalarValue>, ) -> Option<BooleanArray>

Returns [BooleanArray] where each row represents information known about specific literal values in a column.