handle ip adresses in term aggregation

Stores IpAdresses during the segment term aggregation via u64 representation
and convert to u128(IpV6Adress) via downcast when converting to intermediate results.

Enable Downcasting on `ColumnValues`
Expose u64 variant for u128 encoded data via `open_u64_lenient` method.
Remove lifetime in VecColumn, to avoid 'static lifetime requirement coming
from downcast trait.

Author: PSeitz

columnar/Cargo.toml

@@ -17,6 +17,7 @@ sstable = { version= "0.2", path = "../sstable", package = "tantivy-sstable" }
 common = { version= "0.6", path = "../common", package = "tantivy-common" }
 tantivy-bitpacker = { version= "0.5", path = "../bitpacker/" }
 serde = "1.0.152"
+downcast-rs = "1.2.0"
 
 [dev-dependencies]
 proptest = "1"

columnar/src/column/mod.rs

@@ -9,7 +9,7 @@ use std::sync::Arc;
 use common::BinarySerializable;
 pub use dictionary_encoded::{BytesColumn, StrColumn};
 pub use serialize::{
-    open_column_bytes, open_column_str, open_column_u128, open_column_u64,
+    open_column_bytes, open_column_str, open_column_u128, open_column_u128_as_u64, open_column_u64,
     serialize_column_mappable_to_u128, serialize_column_mappable_to_u64,
 };
 
@@ -176,6 +176,7 @@ struct FirstValueWithDefault<T: Copy> {
 impl<T: PartialOrd + Debug + Send + Sync + Copy + 'static> ColumnValues<T>
     for FirstValueWithDefault<T>
 {
+    #[inline(always)]
     fn get_val(&self, idx: u32) -> T {
         self.column.first(idx).unwrap_or(self.default_value)
     }

columnar/src/column/serialize.rs

@@ -76,6 +76,26 @@ pub fn open_column_u128<T: MonotonicallyMappableToU128>(
     })
 }
 
+/// Open the column as u64.
+///
+/// See [`open_u128_as_u64`] for more details.
+pub fn open_column_u128_as_u64(bytes: OwnedBytes) -> io::Result<Column<u64>> {
+    let (body, column_index_num_bytes_payload) = bytes.rsplit(4);
+    let column_index_num_bytes = u32::from_le_bytes(
+        column_index_num_bytes_payload
+            .as_slice()
+            .try_into()
+            .unwrap(),
+    );
+    let (column_index_data, column_values_data) = body.split(column_index_num_bytes as usize);
+    let column_index = crate::column_index::open_column_index(column_index_data)?;
+    let column_values = crate::column_values::open_u128_as_u64(column_values_data)?;
+    Ok(Column {
+        index: column_index,
+        values: column_values,
+    })
+}
+
 pub fn open_column_bytes(data: OwnedBytes) -> io::Result<BytesColumn> {
     let (body, dictionary_len_bytes) = data.rsplit(4);
     let dictionary_len = u32::from_le_bytes(dictionary_len_bytes.as_slice().try_into().unwrap());

columnar/src/column_values/merge.rs

@@ -10,7 +10,7 @@ pub(crate) struct MergedColumnValues<'a, T> {
     pub(crate) merge_row_order: &'a MergeRowOrder,
 }
 
-impl<'a, T: Copy + PartialOrd + Debug> Iterable<T> for MergedColumnValues<'a, T> {
+impl<'a, T: Copy + PartialOrd + Debug + 'static> Iterable<T> for MergedColumnValues<'a, T> {
     fn boxed_iter(&self) -> Box<dyn Iterator<Item = T> + '_> {
         match self.merge_row_order {
             MergeRowOrder::Stack(_) => Box::new(

columnar/src/column_values/mod.rs

@@ -10,6 +10,7 @@ use std::fmt::Debug;
 use std::ops::{Range, RangeInclusive};
 use std::sync::Arc;
 
+use downcast_rs::DowncastSync;
 pub use monotonic_mapping::{MonotonicallyMappableToU64, StrictlyMonotonicFn};
 pub use monotonic_mapping_u128::MonotonicallyMappableToU128;
 
@@ -25,7 +26,9 @@ mod monotonic_column;
 
 pub(crate) use merge::MergedColumnValues;
 pub use stats::ColumnStats;
-pub use u128_based::{open_u128_mapped, serialize_column_values_u128};
+pub use u128_based::{
+    open_u128_as_u64, open_u128_mapped, serialize_column_values_u128, CompactSpaceDecompressorU64,
+};
 pub use u64_based::{
     load_u64_based_column_values, serialize_and_load_u64_based_column_values,
     serialize_u64_based_column_values, CodecType, ALL_U64_CODEC_TYPES,
@@ -41,7 +44,7 @@ use crate::RowId;
 ///
 /// Any methods with a default and specialized implementation need to be called in the
 /// wrappers that implement the trait: Arc and MonotonicMappingColumn
-pub trait ColumnValues<T: PartialOrd = u64>: Send + Sync {
+pub trait ColumnValues<T: PartialOrd = u64>: Send + Sync + DowncastSync {
     /// Return the value associated with the given idx.
     ///
     /// This accessor should return as fast as possible.
@@ -51,6 +54,11 @@ pub trait ColumnValues<T: PartialOrd = u64>: Send + Sync {
     /// May panic if `idx` is greater than the column length.
     fn get_val(&self, idx: u32) -> T;
 
+    /// Return the value associated with the given idx as u64 representation.
+    ///
+    /// This is useful as normalization layer between u128 and u64.
+    // fn u64_to_t(&self, val: u64) -> T;
+
     /// Allows to push down multiple fetch calls, to avoid dynamic dispatch overhead.
     ///
     /// idx and output should have the same length
@@ -139,6 +147,7 @@ pub trait ColumnValues<T: PartialOrd = u64>: Send + Sync {
         Box::new((0..self.num_vals()).map(|idx| self.get_val(idx)))
     }
 }
+downcast_rs::impl_downcast!(sync ColumnValues<T> where T: PartialOrd);
 
 /// Empty column of values.
 pub struct EmptyColumnValues;
@@ -161,7 +170,7 @@ impl<T: PartialOrd + Default> ColumnValues<T> for EmptyColumnValues {
     }
 }
 
-impl<T: Copy + PartialOrd + Debug> ColumnValues<T> for Arc<dyn ColumnValues<T>> {
+impl<T: Copy + PartialOrd + Debug + 'static> ColumnValues<T> for Arc<dyn ColumnValues<T>> {
     #[inline(always)]
     fn get_val(&self, idx: u32) -> T {
         self.as_ref().get_val(idx)

columnar/src/column_values/monotonic_column.rs

@@ -31,10 +31,10 @@ pub fn monotonic_map_column<C, T, Input, Output>(
     monotonic_mapping: T,
 ) -> impl ColumnValues<Output>
 where
-    C: ColumnValues<Input>,
-    T: StrictlyMonotonicFn<Input, Output> + Send + Sync,
-    Input: PartialOrd + Debug + Send + Sync + Clone,
-    Output: PartialOrd + Debug + Send + Sync + Clone,
+    C: ColumnValues<Input> + 'static,
+    T: StrictlyMonotonicFn<Input, Output> + Send + Sync + 'static,
+    Input: PartialOrd + Debug + Send + Sync + Clone + 'static,
+    Output: PartialOrd + Debug + Send + Sync + Clone + 'static,
 {
     MonotonicMappingColumn {
         from_column,
@@ -45,10 +45,10 @@ where
 
 impl<C, T, Input, Output> ColumnValues<Output> for MonotonicMappingColumn<C, T, Input>
 where
-    C: ColumnValues<Input>,
-    T: StrictlyMonotonicFn<Input, Output> + Send + Sync,
-    Input: PartialOrd + Send + Debug + Sync + Clone,
-    Output: PartialOrd + Send + Debug + Sync + Clone,
+    C: ColumnValues<Input> + 'static,
+    T: StrictlyMonotonicFn<Input, Output> + Send + Sync + 'static,
+    Input: PartialOrd + Send + Debug + Sync + Clone + 'static,
+    Output: PartialOrd + Send + Debug + Sync + Clone + 'static,
 {
     #[inline(always)]
     fn get_val(&self, idx: u32) -> Output {
@@ -107,7 +107,7 @@ mod tests {
     #[test]
     fn test_monotonic_mapping_iter() {
         let vals: Vec<u64> = (0..100u64).map(|el| el * 10).collect();
-        let col = VecColumn::from(&vals);
+        let col = VecColumn::from(vals);
         let mapped = monotonic_map_column(
             col,
             StrictlyMonotonicMappingInverter::from(StrictlyMonotonicMappingToInternal::<i64>::new()),

columnar/src/column_values/u128_based/compact_space/mod.rs

@@ -292,6 +292,63 @@ impl BinarySerializable for IPCodecParams {
     }
 }
 
+/// Exposes the compact space decompressor for u64 values.
+///
+/// This allows faster access to the values, as u64 is faster to work with than u128.
+/// Additionally it allows to handle u128 values like u64, via the `open_u64_lenient` as a common
+/// interface.
+///
+/// When converting from the internal u64 to u128 `compact_to_u128` can be used.
+pub struct CompactSpaceDecompressorU64(CompactSpaceDecompressor);
+impl CompactSpaceDecompressorU64 {
+    pub(crate) fn open(data: OwnedBytes) -> io::Result<CompactSpaceDecompressorU64> {
+        let decompressor = CompactSpaceDecompressorU64(CompactSpaceDecompressor::open(data)?);
+        Ok(decompressor)
+    }
+    /// Convert a compact space value to u128
+    pub fn compact_to_u128(&self, compact: u32) -> u128 {
+        self.0.compact_to_u128(compact)
+    }
+}
+
+impl ColumnValues<u64> for CompactSpaceDecompressorU64 {
+    #[inline]
+    fn get_val(&self, doc: u32) -> u64 {
+        let compact = self.0.get_compact(doc);
+        compact as u64
+    }
+
+    fn min_value(&self) -> u64 {
+        self.0.u128_to_compact(self.0.min_value()).unwrap() as u64
+    }
+
+    fn max_value(&self) -> u64 {
+        self.0.u128_to_compact(self.0.max_value()).unwrap() as u64
+    }
+
+    fn num_vals(&self) -> u32 {
+        self.0.params.num_vals
+    }
+
+    #[inline]
+    fn iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
+        Box::new(self.0.iter_compact().map(|el| el as u64))
+    }
+
+    #[inline]
+    fn get_row_ids_for_value_range(
+        &self,
+        value_range: RangeInclusive<u64>,
+        position_range: Range<u32>,
+        positions: &mut Vec<u32>,
+    ) {
+        let value_range = self.0.compact_to_u128(*value_range.start() as u32)
+            ..=self.0.compact_to_u128(*value_range.end() as u32);
+        self.0
+            .get_row_ids_for_value_range(value_range, position_range, positions)
+    }
+}
+
 impl ColumnValues<u128> for CompactSpaceDecompressor {
     #[inline]
     fn get_val(&self, doc: u32) -> u128 {
@@ -403,8 +460,14 @@ impl CompactSpaceDecompressor {
     }
 
     #[inline]
-    pub fn get(&self, idx: u32) -> u128 {
+    pub fn get_compact(&self, idx: u32) -> u32 {
         let compact = self.params.bit_unpacker.get(idx, &self.data) as u32;
+        compact
+    }
+
+    #[inline]
+    pub fn get(&self, idx: u32) -> u128 {
+        let compact = self.get_compact(idx);
         self.compact_to_u128(compact)
     }
 

columnar/src/column_values/u128_based/mod.rs

@@ -6,7 +6,9 @@ use std::sync::Arc;
 mod compact_space;
 
 use common::{BinarySerializable, OwnedBytes, VInt};
-use compact_space::{CompactSpaceCompressor, CompactSpaceDecompressor};
+pub use compact_space::{
+    CompactSpaceCompressor, CompactSpaceDecompressor, CompactSpaceDecompressorU64,
+};
 
 use crate::column_values::monotonic_map_column;
 use crate::column_values::monotonic_mapping::{
@@ -108,6 +110,23 @@ pub fn open_u128_mapped<T: MonotonicallyMappableToU128 + Debug>(
         StrictlyMonotonicMappingToInternal::<T>::new().into();
     Ok(Arc::new(monotonic_map_column(reader, inverted)))
 }
+
+/// Returns the u64 representation of the u128 data.
+/// The internal representation of the data as u64 is useful for faster processing.
+///
+/// In order to convert to u128 back cast to `CompactSpaceDecompressorU64` and call
+/// `compact_to_u128`.
+///
+/// # Notice
+/// In case there are new codecs added, check for usages of `CompactSpaceDecompressorU64` and
+/// also handle the new codecs.
+pub fn open_u128_as_u64(mut bytes: OwnedBytes) -> io::Result<Arc<dyn ColumnValues<u64>>> {
+    let header = U128Header::deserialize(&mut bytes)?;
+    assert_eq!(header.codec_type, U128FastFieldCodecType::CompactSpace);
+    let reader = CompactSpaceDecompressorU64::open(bytes)?;
+    Ok(Arc::new(reader))
+}
+
 #[cfg(test)]
 pub mod tests {
     use super::*;

columnar/src/column_values/u64_based/bitpacked.rs

@@ -63,7 +63,6 @@ impl ColumnValues for BitpackedReader {
     fn get_val(&self, doc: u32) -> u64 {
         self.stats.min_value + self.stats.gcd.get() * self.bit_unpacker.get(doc, &self.data)
     }
-
     #[inline]
     fn min_value(&self) -> u64 {
         self.stats.min_value

columnar/src/column_values/u64_based/blockwise_linear.rs

@@ -63,7 +63,10 @@ impl BlockwiseLinearEstimator {
         if self.block.is_empty() {
             return;
         }
-        let line = Line::train(&VecColumn::from(&self.block));
+        let column = VecColumn::from(std::mem::take(&mut self.block));
+        let line = Line::train(&column);
+        self.block = column.into();
+
         let mut max_value = 0u64;
         for (i, buffer_val) in self.block.iter().enumerate() {
             let interpolated_val = line.eval(i as u32);
@@ -125,7 +128,7 @@ impl ColumnCodecEstimator for BlockwiseLinearEstimator {
                 *buffer_val = gcd_divider.divide(*buffer_val - stats.min_value);
             }
 
-            let line = Line::train(&VecColumn::from(&buffer));
+            let line = Line::train(&VecColumn::from(buffer.to_vec()));
 
             assert!(!buffer.is_empty());
 

columnar/src/column_values/u64_based/line.rs

@@ -184,7 +184,7 @@ mod tests {
     }
 
     fn test_eval_max_err(ys: &[u64]) -> Option<u64> {
-        let line = Line::train(&VecColumn::from(&ys));
+        let line = Line::train(&VecColumn::from(ys.to_vec()));
         ys.iter()
             .enumerate()
             .map(|(x, y)| y.wrapping_sub(line.eval(x as u32)))

columnar/src/column_values/u64_based/linear.rs

@@ -173,7 +173,9 @@ impl LinearCodecEstimator {
     fn collect_before_line_estimation(&mut self, value: u64) {
         self.block.push(value);
         if self.block.len() == LINE_ESTIMATION_BLOCK_LEN {
-            let line = Line::train(&VecColumn::from(&self.block));
+            let column = VecColumn::from(std::mem::take(&mut self.block));
+            let line = Line::train(&column);
+            self.block = column.into();
             let block = std::mem::take(&mut self.block);
             for val in block {
                 self.collect_after_line_estimation(&line, val);

columnar/src/column_values/vec_column.rs

@@ -4,14 +4,14 @@ use tantivy_bitpacker::minmax;
 
 use crate::ColumnValues;
 
-/// VecColumn provides `Column` over a slice.
-pub struct VecColumn<'a, T = u64> {
-    pub(crate) values: &'a [T],
+/// VecColumn provides `Column` over a `Vec<T>`.
+pub struct VecColumn<T = u64> {
+    pub(crate) values: Vec<T>,
     pub(crate) min_value: T,
     pub(crate) max_value: T,
 }
 
-impl<'a, T: Copy + PartialOrd + Send + Sync + Debug> ColumnValues<T> for VecColumn<'a, T> {
+impl<T: Copy + PartialOrd + Send + Sync + Debug + 'static> ColumnValues<T> for VecColumn<T> {
     fn get_val(&self, position: u32) -> T {
         self.values[position as usize]
     }
@@ -37,11 +37,8 @@ impl<'a, T: Copy + PartialOrd + Send + Sync + Debug> ColumnValues<T> for VecColu
     }
 }
 
-impl<'a, T: Copy + PartialOrd + Default, V> From<&'a V> for VecColumn<'a, T>
-where V: AsRef<[T]> + ?Sized
-{
-    fn from(values: &'a V) -> Self {
-        let values = values.as_ref();
+impl<T: Copy + PartialOrd + Default> From<Vec<T>> for VecColumn<T> {
+    fn from(values: Vec<T>) -> Self {
         let (min_value, max_value) = minmax(values.iter().copied()).unwrap_or_default();
         Self {
             values,
@@ -50,3 +47,8 @@ where V: AsRef<[T]> + ?Sized
         }
     }
 }
+impl From<VecColumn> for Vec<u64> {
+    fn from(column: VecColumn) -> Self {
+        column.values
+    }
+}

columnar/src/columnar/writer/mod.rs

@@ -13,9 +13,7 @@ pub(crate) use serializer::ColumnarSerializer;
 use stacker::{Addr, ArenaHashMap, MemoryArena};
 
 use crate::column_index::SerializableColumnIndex;
-use crate::column_values::{
-    ColumnValues, MonotonicallyMappableToU128, MonotonicallyMappableToU64, VecColumn,
-};
+use crate::column_values::{MonotonicallyMappableToU128, MonotonicallyMappableToU64};
 use crate::columnar::column_type::ColumnType;
 use crate::columnar::writer::column_writers::{
     ColumnWriter, NumericalColumnWriter, StrOrBytesColumnWriter,
@@ -645,10 +643,7 @@ fn send_to_serialize_column_mappable_to_u128<
     value_index_builders: &mut PreallocatedIndexBuilders,
     values: &mut Vec<T>,
     mut wrt: impl io::Write,
-) -> io::Result<()>
-where
-    for<'a> VecColumn<'a, T>: ColumnValues<T>,
-{
+) -> io::Result<()> {
     values.clear();
     // TODO: split index and values
     let serializable_column_index = match cardinality {
@@ -701,10 +696,7 @@ fn send_to_serialize_column_mappable_to_u64(
     value_index_builders: &mut PreallocatedIndexBuilders,
     values: &mut Vec<u64>,
     mut wrt: impl io::Write,
-) -> io::Result<()>
-where
-    for<'a> VecColumn<'a, u64>: ColumnValues<u64>,
-{
+) -> io::Result<()> {
     values.clear();
     let serializable_column_index = match cardinality {
         Cardinality::Full => {