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use std::sync::Arc;
use parquet_format_async_temp::Statistics as ParquetStatistics;
use super::Statistics;
use crate::metadata::ColumnDescriptor;
use crate::types;
use crate::{
error::{ParquetError, Result},
schema::types::PhysicalType,
};
#[derive(Debug, Clone, PartialEq)]
pub struct PrimitiveStatistics<T: types::NativeType> {
pub descriptor: ColumnDescriptor,
pub null_count: Option<i64>,
pub distinct_count: Option<i64>,
pub max_value: Option<T>,
pub min_value: Option<T>,
}
impl<T: types::NativeType> Statistics for PrimitiveStatistics<T> {
fn as_any(&self) -> &dyn std::any::Any {
self
}
fn physical_type(&self) -> &PhysicalType {
&T::TYPE
}
fn null_count(&self) -> Option<i64> {
self.null_count
}
}
pub fn read<T: types::NativeType>(
v: &ParquetStatistics,
descriptor: ColumnDescriptor,
) -> Result<Arc<dyn Statistics>> {
if let Some(ref v) = v.max_value {
if v.len() != std::mem::size_of::<T>() {
return Err(ParquetError::OutOfSpec(
"The max_value of statistics MUST be plain encoded".to_string(),
));
}
};
if let Some(ref v) = v.min_value {
if v.len() != std::mem::size_of::<T>() {
return Err(ParquetError::OutOfSpec(
"The min_value of statistics MUST be plain encoded".to_string(),
));
}
};
Ok(Arc::new(PrimitiveStatistics::<T> {
descriptor,
null_count: v.null_count,
distinct_count: v.distinct_count,
max_value: v.max_value.as_ref().map(|x| types::decode(x)),
min_value: v.min_value.as_ref().map(|x| types::decode(x)),
}))
}
pub fn write<T: types::NativeType>(v: &PrimitiveStatistics<T>) -> ParquetStatistics {
ParquetStatistics {
null_count: v.null_count,
distinct_count: v.distinct_count,
max_value: v.max_value.map(|x| x.to_le_bytes().as_ref().to_vec()),
min_value: v.min_value.map(|x| x.to_le_bytes().as_ref().to_vec()),
min: None,
max: None,
}
}