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https://github.com/quickwit-oss/tantivy.git
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2 Commits
quickwit-0
...
column-rea
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
c69661f0f0 | ||
|
|
85ebb3c420 |
@@ -68,7 +68,9 @@ impl FastFieldCodec for BitpackedCodec {
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||||
assert_eq!(column.min_value(), 0u64);
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let num_bits = compute_num_bits(column.max_value());
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let mut bit_packer = BitPacker::new();
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for val in column.iter() {
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let mut reader = column.reader();
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while reader.advance() {
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let val = reader.get();
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bit_packer.write(val, num_bits, write)?;
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}
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bit_packer.close(write)?;
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@@ -75,7 +75,9 @@ impl FastFieldCodec for BlockwiseLinearCodec {
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if column.num_vals() < 10 * CHUNK_SIZE as u64 {
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return None;
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}
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let mut first_chunk: Vec<u64> = column.iter().take(CHUNK_SIZE as usize).collect();
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let mut first_chunk: Vec<u64> = crate::iter_from_reader(column.reader())
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.take(CHUNK_SIZE as usize)
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.collect();
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let line = Line::train(&VecColumn::from(&first_chunk));
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for (i, buffer_val) in first_chunk.iter_mut().enumerate() {
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let interpolated_val = line.eval(i as u64);
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@@ -109,7 +111,7 @@ impl FastFieldCodec for BlockwiseLinearCodec {
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let num_blocks = compute_num_blocks(num_vals);
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let mut blocks = Vec::with_capacity(num_blocks);
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let mut vals = column.iter();
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let mut vals = crate::iter_from_reader(column.reader());
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let mut bit_packer = BitPacker::new();
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@@ -3,7 +3,13 @@ use std::ops::RangeInclusive;
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use tantivy_bitpacker::minmax;
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pub trait Column<T: PartialOrd = u64>: Send + Sync {
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pub trait Column<T: PartialOrd + Copy + 'static = u64>: Send + Sync {
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/// Return a `ColumnReader`.
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fn reader(&self) -> Box<dyn ColumnReader<T> + '_> {
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// Box::new(ColumnReaderAdapter { column: self, idx: 0, })
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Box::new(ColumnReaderAdapter::from(self))
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}
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/// Return the value associated to the given idx.
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///
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/// This accessor should return as fast as possible.
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@@ -11,6 +17,8 @@ pub trait Column<T: PartialOrd = u64>: Send + Sync {
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/// # Panics
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///
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/// May panic if `idx` is greater than the column length.
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///
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/// TODO remove to force people to use `.reader()`.
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fn get_val(&self, idx: u64) -> T;
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/// Fills an output buffer with the fast field values
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@@ -58,10 +66,70 @@ pub trait Column<T: PartialOrd = u64>: Send + Sync {
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fn max_value(&self) -> T;
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fn num_vals(&self) -> u64;
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}
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/// Returns a iterator over the data
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fn iter<'a>(&'a self) -> Box<dyn Iterator<Item = T> + 'a> {
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Box::new((0..self.num_vals()).map(|idx| self.get_val(idx)))
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/// `ColumnReader` makes it possible to read forward through a column.
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pub trait ColumnReader<T = u64> {
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/// Advance the reader to the target_idx.
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///
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/// After a successful call to seek,
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/// `.get()` should returns `column.get_val(target_idx)`.
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fn seek(&mut self, target_idx: u64) -> T;
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fn advance(&mut self) -> bool;
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/// Get the current value without advancing the reader
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fn get(&self) -> T;
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}
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pub fn iter_from_reader<'a, T: 'static>(
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mut column_reader: Box<dyn ColumnReader<T> + 'a>,
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) -> impl Iterator<Item = T> + 'a {
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std::iter::from_fn(move || {
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if !column_reader.advance() {
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return None;
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}
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Some(column_reader.get())
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})
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}
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pub(crate) struct ColumnReaderAdapter<'a, C: ?Sized, T> {
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column: &'a C,
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idx: u64,
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len: u64,
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_phantom: PhantomData<T>,
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}
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impl<'a, C: Column<T> + ?Sized, T: Copy + PartialOrd + 'static> From<&'a C>
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for ColumnReaderAdapter<'a, C, T>
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{
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fn from(column: &'a C) -> Self {
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ColumnReaderAdapter {
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column,
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idx: u64::MAX,
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len: column.num_vals(),
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_phantom: PhantomData,
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}
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}
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}
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impl<'a, T, C: ?Sized> ColumnReader<T> for ColumnReaderAdapter<'a, C, T>
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where
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C: Column<T>,
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T: PartialOrd<T> + Copy + 'static,
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{
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fn seek(&mut self, idx: u64) -> T {
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self.idx = idx;
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self.get()
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}
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fn advance(&mut self) -> bool {
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self.idx = self.idx.wrapping_add(1);
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self.idx < self.len
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}
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fn get(&self) -> T {
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self.column.get_val(self.idx)
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}
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}
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@@ -71,7 +139,9 @@ pub struct VecColumn<'a, T = u64> {
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max_value: T,
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}
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impl<'a, C: Column<T>, T: Copy + PartialOrd> Column<T> for &'a C {
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impl<'a, C: Column<T>, T> Column<T> for &'a C
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where T: Copy + PartialOrd + 'static
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{
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fn get_val(&self, idx: u64) -> T {
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(*self).get_val(idx)
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}
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@@ -88,8 +158,8 @@ impl<'a, C: Column<T>, T: Copy + PartialOrd> Column<T> for &'a C {
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(*self).num_vals()
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}
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fn iter<'b>(&'b self) -> Box<dyn Iterator<Item = T> + 'b> {
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(*self).iter()
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fn reader(&self) -> Box<dyn ColumnReader<T> + '_> {
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(*self).reader()
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}
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fn get_range(&self, start: u64, output: &mut [T]) {
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@@ -97,15 +167,11 @@ impl<'a, C: Column<T>, T: Copy + PartialOrd> Column<T> for &'a C {
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}
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}
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impl<'a, T: Copy + PartialOrd + Send + Sync> Column<T> for VecColumn<'a, T> {
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impl<'a, T: Copy + PartialOrd + Send + Sync + 'static> Column<T> for VecColumn<'a, T> {
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fn get_val(&self, position: u64) -> T {
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self.values[position as usize]
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}
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fn iter(&self) -> Box<dyn Iterator<Item = T> + '_> {
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Box::new(self.values.iter().copied())
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}
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fn min_value(&self) -> T {
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self.min_value
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}
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@@ -144,15 +210,15 @@ struct MonotonicMappingColumn<C, T, Input> {
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}
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/// Creates a view of a column transformed by a monotonic mapping.
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pub fn monotonic_map_column<C, T, Input: PartialOrd, Output: PartialOrd>(
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pub fn monotonic_map_column<C, T, Input: PartialOrd + Copy, Output: PartialOrd + Copy>(
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from_column: C,
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monotonic_mapping: T,
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) -> impl Column<Output>
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where
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C: Column<Input>,
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T: Fn(Input) -> Output + Send + Sync,
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Input: Send + Sync,
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Output: Send + Sync,
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Input: Send + Sync + 'static,
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Output: Send + Sync + 'static,
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{
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MonotonicMappingColumn {
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from_column,
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@@ -161,13 +227,13 @@ where
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}
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}
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impl<C, T, Input: PartialOrd, Output: PartialOrd> Column<Output>
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impl<C, T, Input: PartialOrd + Copy, Output: PartialOrd + Copy> Column<Output>
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for MonotonicMappingColumn<C, T, Input>
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where
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C: Column<Input>,
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T: Fn(Input) -> Output + Send + Sync,
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Input: Send + Sync,
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Output: Send + Sync,
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Input: Send + Sync + 'static,
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Output: Send + Sync + 'static,
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{
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#[inline]
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fn get_val(&self, idx: u64) -> Output {
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@@ -189,14 +255,44 @@ where
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self.from_column.num_vals()
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}
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fn iter(&self) -> Box<dyn Iterator<Item = Output> + '_> {
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Box::new(self.from_column.iter().map(&self.monotonic_mapping))
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fn reader(&self) -> Box<dyn ColumnReader<Output> + '_> {
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Box::new(MonotonicMappingColumnReader {
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col_reader: self.from_column.reader(),
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monotonic_mapping: &self.monotonic_mapping,
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intermdiary_type: PhantomData,
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})
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}
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// We voluntarily do not implement get_range as it yields a regression,
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// and we do not have any specialized implementation anyway.
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}
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struct MonotonicMappingColumnReader<'a, Transform, U> {
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col_reader: Box<dyn ColumnReader<U> + 'a>,
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monotonic_mapping: &'a Transform,
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intermdiary_type: PhantomData<U>,
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}
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impl<'a, U, V, Transform> ColumnReader<V> for MonotonicMappingColumnReader<'a, Transform, U>
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where
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U: Copy,
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V: Copy,
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Transform: Fn(U) -> V,
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{
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fn seek(&mut self, idx: u64) -> V {
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let intermediary_value = self.col_reader.seek(idx);
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(*self.monotonic_mapping)(intermediary_value)
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}
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fn advance(&mut self) -> bool {
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self.col_reader.advance()
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}
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fn get(&self) -> V {
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(*self.monotonic_mapping)(self.col_reader.get())
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}
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}
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pub struct IterColumn<T>(T);
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impl<T> From<T> for IterColumn<T>
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@@ -210,7 +306,7 @@ where T: Iterator + Clone + ExactSizeIterator
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impl<T> Column<T::Item> for IterColumn<T>
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where
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T: Iterator + Clone + ExactSizeIterator + Send + Sync,
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T::Item: PartialOrd,
|
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T::Item: PartialOrd + Copy + 'static,
|
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{
|
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fn get_val(&self, idx: u64) -> T::Item {
|
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self.0.clone().nth(idx as usize).unwrap()
|
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@@ -227,10 +323,6 @@ where
|
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fn num_vals(&self) -> u64 {
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self.0.len() as u64
|
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}
|
||||
|
||||
fn iter(&self) -> Box<dyn Iterator<Item = T::Item> + '_> {
|
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Box::new(self.0.clone())
|
||||
}
|
||||
}
|
||||
|
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#[cfg(test)]
|
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@@ -263,7 +355,7 @@ mod tests {
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let vals: Vec<u64> = (-1..99).map(i64::to_u64).collect();
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let col = VecColumn::from(&vals);
|
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let mapped = monotonic_map_column(col, |el| i64::from_u64(el) * 10i64);
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let val_i64s: Vec<i64> = mapped.iter().collect();
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let val_i64s: Vec<i64> = crate::iter_from_reader(mapped.reader()).collect();
|
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for i in 0..100 {
|
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assert_eq!(val_i64s[i as usize], mapped.get_val(i));
|
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}
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@@ -277,7 +369,7 @@ mod tests {
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assert_eq!(mapped.min_value(), -10i64);
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assert_eq!(mapped.max_value(), 980i64);
|
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assert_eq!(mapped.num_vals(), 100);
|
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let val_i64s: Vec<i64> = mapped.iter().collect();
|
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let val_i64s: Vec<i64> = crate::iter_from_reader(mapped.reader()).collect();
|
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assert_eq!(val_i64s.len(), 100);
|
||||
for i in 0..100 {
|
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assert_eq!(val_i64s[i as usize], mapped.get_val(i));
|
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|
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@@ -22,7 +22,7 @@ use ownedbytes::OwnedBytes;
|
||||
use tantivy_bitpacker::{self, BitPacker, BitUnpacker};
|
||||
|
||||
use crate::compact_space::build_compact_space::get_compact_space;
|
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use crate::Column;
|
||||
use crate::{iter_from_reader, Column, ColumnReader};
|
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|
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mod blank_range;
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||||
mod build_compact_space;
|
||||
@@ -173,11 +173,14 @@ impl CompactSpaceCompressor {
|
||||
/// Taking the vals as Vec may cost a lot of memory. It is used to sort the vals.
|
||||
pub fn train_from(column: &impl Column<u128>) -> Self {
|
||||
let mut values_sorted = BTreeSet::new();
|
||||
values_sorted.extend(column.iter());
|
||||
|
||||
let total_num_values = column.num_vals();
|
||||
|
||||
values_sorted.extend(iter_from_reader(column.reader()));
|
||||
|
||||
let compact_space =
|
||||
get_compact_space(&values_sorted, total_num_values, COST_PER_BLANK_IN_BITS);
|
||||
|
||||
let amplitude_compact_space = compact_space.amplitude_compact_space();
|
||||
|
||||
assert!(
|
||||
@@ -218,11 +221,12 @@ impl CompactSpaceCompressor {
|
||||
|
||||
pub fn compress_into(
|
||||
self,
|
||||
vals: impl Iterator<Item = u128>,
|
||||
mut vals: Box<dyn ColumnReader<u128> + '_>,
|
||||
write: &mut impl Write,
|
||||
) -> io::Result<()> {
|
||||
let mut bitpacker = BitPacker::default();
|
||||
for val in vals {
|
||||
while vals.advance() {
|
||||
let val = vals.get();
|
||||
let compact = self
|
||||
.params
|
||||
.compact_space
|
||||
@@ -300,13 +304,13 @@ impl Column<u128> for CompactSpaceDecompressor {
|
||||
self.params.num_vals
|
||||
}
|
||||
|
||||
#[inline]
|
||||
fn iter(&self) -> Box<dyn Iterator<Item = u128> + '_> {
|
||||
Box::new(self.iter())
|
||||
}
|
||||
fn get_between_vals(&self, range: RangeInclusive<u128>) -> Vec<u64> {
|
||||
self.get_between_vals(range)
|
||||
}
|
||||
|
||||
fn reader(&self) -> Box<dyn ColumnReader<u128> + '_> {
|
||||
Box::new(self.specialized_reader())
|
||||
}
|
||||
}
|
||||
|
||||
impl CompactSpaceDecompressor {
|
||||
@@ -410,18 +414,13 @@ impl CompactSpaceDecompressor {
|
||||
positions
|
||||
}
|
||||
|
||||
#[inline]
|
||||
fn iter_compact(&self) -> impl Iterator<Item = u64> + '_ {
|
||||
(0..self.params.num_vals)
|
||||
.map(move |idx| self.params.bit_unpacker.get(idx as u64, &self.data) as u64)
|
||||
}
|
||||
|
||||
#[inline]
|
||||
fn iter(&self) -> impl Iterator<Item = u128> + '_ {
|
||||
// TODO: Performance. It would be better to iterate on the ranges and check existence via
|
||||
// the bit_unpacker.
|
||||
self.iter_compact()
|
||||
.map(|compact| self.compact_to_u128(compact))
|
||||
fn specialized_reader(&self) -> CompactSpaceReader<'_> {
|
||||
CompactSpaceReader {
|
||||
data: self.data.as_slice(),
|
||||
params: &self.params,
|
||||
idx: 0u64,
|
||||
len: self.params.num_vals,
|
||||
}
|
||||
}
|
||||
|
||||
#[inline]
|
||||
@@ -439,6 +438,30 @@ impl CompactSpaceDecompressor {
|
||||
}
|
||||
}
|
||||
|
||||
pub struct CompactSpaceReader<'a> {
|
||||
data: &'a [u8],
|
||||
params: &'a IPCodecParams,
|
||||
idx: u64,
|
||||
len: u64,
|
||||
}
|
||||
|
||||
impl<'a> ColumnReader<u128> for CompactSpaceReader<'a> {
|
||||
fn seek(&mut self, target_idx: u64) -> u128 {
|
||||
self.idx = target_idx;
|
||||
self.get()
|
||||
}
|
||||
|
||||
fn advance(&mut self) -> bool {
|
||||
self.idx = self.idx.wrapping_add(1);
|
||||
self.idx < self.len
|
||||
}
|
||||
|
||||
fn get(&self) -> u128 {
|
||||
let compact_code = self.params.bit_unpacker.get(self.idx, self.data);
|
||||
self.params.compact_space.compact_to_u128(compact_code)
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
|
||||
@@ -29,7 +29,7 @@ mod serialize;
|
||||
|
||||
use self::bitpacked::BitpackedCodec;
|
||||
use self::blockwise_linear::BlockwiseLinearCodec;
|
||||
pub use self::column::{monotonic_map_column, Column, VecColumn};
|
||||
pub use self::column::{iter_from_reader, monotonic_map_column, Column, ColumnReader, VecColumn};
|
||||
use self::linear::LinearCodec;
|
||||
pub use self::monotonic_mapping::MonotonicallyMappableToU64;
|
||||
pub use self::serialize::{
|
||||
|
||||
@@ -74,17 +74,18 @@ impl Line {
|
||||
|
||||
// Intercept is only computed from provided positions
|
||||
fn train_from(ys: &dyn Column, positions: impl Iterator<Item = u64>) -> Self {
|
||||
let num_vals = if let Some(num_vals) = NonZeroU64::new(ys.num_vals() - 1) {
|
||||
num_vals
|
||||
let last_idx = if let Some(last_idx) = NonZeroU64::new(ys.num_vals() - 1) {
|
||||
last_idx
|
||||
} else {
|
||||
return Line::default();
|
||||
};
|
||||
|
||||
let y0 = ys.get_val(0);
|
||||
let y1 = ys.get_val(num_vals.get());
|
||||
let mut ys_reader = ys.reader();
|
||||
let y0 = ys_reader.seek(0);
|
||||
let y1 = ys_reader.seek(last_idx.get());
|
||||
|
||||
// We first independently pick our slope.
|
||||
let slope = compute_slope(y0, y1, num_vals);
|
||||
let slope = compute_slope(y0, y1, last_idx);
|
||||
|
||||
// We picked our slope. Note that it does not have to be perfect.
|
||||
// Now we need to compute the best intercept.
|
||||
@@ -114,9 +115,10 @@ impl Line {
|
||||
intercept: 0,
|
||||
};
|
||||
let heuristic_shift = y0.wrapping_sub(MID_POINT);
|
||||
let mut ys_reader = ys.reader();
|
||||
line.intercept = positions
|
||||
.map(|pos| {
|
||||
let y = ys.get_val(pos);
|
||||
let y = ys_reader.seek(pos);
|
||||
y.wrapping_sub(line.eval(pos))
|
||||
})
|
||||
.min_by_key(|&val| val.wrapping_sub(heuristic_shift))
|
||||
|
||||
@@ -89,8 +89,7 @@ impl FastFieldCodec for LinearCodec {
|
||||
assert_eq!(column.min_value(), 0);
|
||||
let line = Line::train(column);
|
||||
|
||||
let max_offset_from_line = column
|
||||
.iter()
|
||||
let max_offset_from_line = crate::iter_from_reader(column.reader())
|
||||
.enumerate()
|
||||
.map(|(pos, actual_value)| {
|
||||
let calculated_value = line.eval(pos as u64);
|
||||
@@ -107,7 +106,12 @@ impl FastFieldCodec for LinearCodec {
|
||||
linear_params.serialize(write)?;
|
||||
|
||||
let mut bit_packer = BitPacker::new();
|
||||
for (pos, actual_value) in column.iter().enumerate() {
|
||||
let mut col_reader = column.reader();
|
||||
for pos in 0.. {
|
||||
if !col_reader.advance() {
|
||||
break;
|
||||
}
|
||||
let actual_value = col_reader.get();
|
||||
let calculated_value = line.eval(pos as u64);
|
||||
let offset = actual_value.wrapping_sub(calculated_value);
|
||||
bit_packer.write(offset, num_bits, write)?;
|
||||
@@ -134,10 +138,11 @@ impl FastFieldCodec for LinearCodec {
|
||||
|
||||
let line = Line::estimate(column, &sample_positions);
|
||||
|
||||
let mut column_reader = column.reader();
|
||||
let estimated_bit_width = sample_positions
|
||||
.into_iter()
|
||||
.map(|pos| {
|
||||
let actual_value = column.get_val(pos);
|
||||
let actual_value = column_reader.seek(pos);
|
||||
let interpolated_val = line.eval(pos as u64);
|
||||
actual_value.wrapping_sub(interpolated_val)
|
||||
})
|
||||
|
||||
@@ -31,8 +31,8 @@ use crate::blockwise_linear::BlockwiseLinearCodec;
|
||||
use crate::compact_space::CompactSpaceCompressor;
|
||||
use crate::linear::LinearCodec;
|
||||
use crate::{
|
||||
monotonic_map_column, Column, FastFieldCodec, FastFieldCodecType, MonotonicallyMappableToU64,
|
||||
VecColumn, ALL_CODEC_TYPES,
|
||||
iter_from_reader, monotonic_map_column, Column, FastFieldCodec, FastFieldCodecType,
|
||||
MonotonicallyMappableToU64, VecColumn, ALL_CODEC_TYPES,
|
||||
};
|
||||
|
||||
/// The normalized header gives some parameters after applying the following
|
||||
@@ -79,8 +79,9 @@ impl Header {
|
||||
let num_vals = column.num_vals();
|
||||
let min_value = column.min_value();
|
||||
let max_value = column.max_value();
|
||||
let gcd = crate::gcd::find_gcd(column.iter().map(|val| val - min_value))
|
||||
.filter(|gcd| gcd.get() > 1u64);
|
||||
let gcd =
|
||||
crate::gcd::find_gcd(iter_from_reader(column.reader()).map(|val| val - min_value))
|
||||
.filter(|gcd| gcd.get() > 1u64);
|
||||
let divider = DividerU64::divide_by(gcd.map(|gcd| gcd.get()).unwrap_or(1u64));
|
||||
let shifted_column = monotonic_map_column(&column, |val| divider.divide(val - min_value));
|
||||
let codec_type = detect_codec(shifted_column, codecs)?;
|
||||
@@ -131,7 +132,7 @@ pub fn estimate<T: MonotonicallyMappableToU64>(
|
||||
) -> Option<f32> {
|
||||
let column = monotonic_map_column(typed_column, T::to_u64);
|
||||
let min_value = column.min_value();
|
||||
let gcd = crate::gcd::find_gcd(column.iter().map(|val| val - min_value))
|
||||
let gcd = crate::gcd::find_gcd(iter_from_reader(column.reader()).map(|val| val - min_value))
|
||||
.filter(|gcd| gcd.get() > 1u64);
|
||||
let divider = DividerU64::divide_by(gcd.map(|gcd| gcd.get()).unwrap_or(1u64));
|
||||
let normalized_column = monotonic_map_column(&column, |val| divider.divide(val - min_value));
|
||||
@@ -149,7 +150,7 @@ pub fn serialize_u128(
|
||||
// TODO write header, to later support more codecs
|
||||
let compressor = CompactSpaceCompressor::train_from(&typed_column);
|
||||
compressor
|
||||
.compress_into(typed_column.iter(), output)
|
||||
.compress_into(typed_column.reader(), output)
|
||||
.unwrap();
|
||||
|
||||
Ok(())
|
||||
@@ -240,7 +241,8 @@ mod tests {
|
||||
#[test]
|
||||
fn test_serialize_deserialize() {
|
||||
let original = [1u64, 5u64, 10u64];
|
||||
let restored: Vec<u64> = serialize_and_load(&original[..]).iter().collect();
|
||||
let restored: Vec<u64> =
|
||||
crate::iter_from_reader(serialize_and_load(&original[..]).reader()).collect();
|
||||
assert_eq!(&restored, &original[..]);
|
||||
}
|
||||
|
||||
|
||||
@@ -41,6 +41,7 @@ mod error;
|
||||
mod facet_reader;
|
||||
mod multivalued;
|
||||
mod readers;
|
||||
mod remapped_column;
|
||||
mod serializer;
|
||||
mod writer;
|
||||
|
||||
@@ -424,7 +425,7 @@ mod tests {
|
||||
permutation
|
||||
}
|
||||
|
||||
fn test_intfastfield_permutation_with_data(permutation: Vec<u64>) -> crate::Result<()> {
|
||||
fn test_intfastfield_permutation_with_data(permutation: &[u64]) -> crate::Result<()> {
|
||||
let path = Path::new("test");
|
||||
let n = permutation.len();
|
||||
let directory = RamDirectory::create();
|
||||
@@ -432,7 +433,7 @@ mod tests {
|
||||
let write: WritePtr = directory.open_write(Path::new("test"))?;
|
||||
let mut serializer = CompositeFastFieldSerializer::from_write(write)?;
|
||||
let mut fast_field_writers = FastFieldsWriter::from_schema(&SCHEMA);
|
||||
for &x in &permutation {
|
||||
for &x in permutation {
|
||||
fast_field_writers.add_document(&doc!(*FIELD=>x));
|
||||
}
|
||||
fast_field_writers.serialize(&mut serializer, &HashMap::new(), None)?;
|
||||
@@ -446,7 +447,6 @@ mod tests {
|
||||
.unwrap()
|
||||
.read_bytes()?;
|
||||
let fast_field_reader = open::<u64>(data)?;
|
||||
|
||||
for a in 0..n {
|
||||
assert_eq!(fast_field_reader.get_val(a as u64), permutation[a as usize]);
|
||||
}
|
||||
@@ -455,16 +455,23 @@ mod tests {
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_intfastfield_permutation_gcd() -> crate::Result<()> {
|
||||
let permutation = generate_permutation_gcd();
|
||||
test_intfastfield_permutation_with_data(permutation)?;
|
||||
fn test_intfastfield_simple() -> crate::Result<()> {
|
||||
let permutation = &[1, 2, 3];
|
||||
test_intfastfield_permutation_with_data(&permutation[..])?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_intfastfield_permutation() -> crate::Result<()> {
|
||||
let permutation = generate_permutation();
|
||||
test_intfastfield_permutation_with_data(permutation)?;
|
||||
test_intfastfield_permutation_with_data(&permutation)?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_intfastfield_permutation_gcd() -> crate::Result<()> {
|
||||
let permutation = generate_permutation_gcd();
|
||||
test_intfastfield_permutation_with_data(&permutation)?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
|
||||
@@ -1,9 +1,10 @@
|
||||
mod multivalue_start_index;
|
||||
mod reader;
|
||||
mod writer;
|
||||
|
||||
pub(crate) use self::multivalue_start_index::MultivalueStartIndex;
|
||||
pub use self::reader::MultiValuedFastFieldReader;
|
||||
pub use self::writer::MultiValuedFastFieldWriter;
|
||||
pub(crate) use self::writer::MultivalueStartIndex;
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
195
src/fastfield/multivalued/multivalue_start_index.rs
Normal file
195
src/fastfield/multivalued/multivalue_start_index.rs
Normal file
@@ -0,0 +1,195 @@
|
||||
use fastfield_codecs::{Column, ColumnReader};
|
||||
|
||||
use crate::indexer::doc_id_mapping::DocIdMapping;
|
||||
use crate::DocId;
|
||||
|
||||
pub(crate) struct MultivalueStartIndex<'a, C: Column> {
|
||||
column: &'a C,
|
||||
doc_id_map: &'a DocIdMapping,
|
||||
min_value: u64,
|
||||
max_value: u64,
|
||||
}
|
||||
|
||||
struct MultivalueStartIndexReader<'a, C: Column> {
|
||||
column: &'a C,
|
||||
doc_id_map: &'a DocIdMapping,
|
||||
idx: u64,
|
||||
val: u64,
|
||||
len: u64,
|
||||
}
|
||||
|
||||
impl<'a, C: Column> MultivalueStartIndexReader<'a, C> {
|
||||
fn new(column: &'a C, doc_id_map: &'a DocIdMapping) -> Self {
|
||||
Self {
|
||||
column,
|
||||
doc_id_map,
|
||||
idx: u64::MAX,
|
||||
val: 0,
|
||||
len: doc_id_map.num_new_doc_ids() as u64 + 1,
|
||||
}
|
||||
}
|
||||
|
||||
fn reset(&mut self) {
|
||||
self.idx = u64::MAX;
|
||||
self.val = 0;
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a, C: Column> ColumnReader for MultivalueStartIndexReader<'a, C> {
|
||||
fn seek(&mut self, idx: u64) -> u64 {
|
||||
if self.idx > idx {
|
||||
self.reset();
|
||||
self.advance();
|
||||
}
|
||||
for _ in self.idx..idx {
|
||||
self.advance();
|
||||
}
|
||||
self.get()
|
||||
}
|
||||
|
||||
fn advance(&mut self) -> bool {
|
||||
if self.idx == u64::MAX {
|
||||
self.idx = 0;
|
||||
self.val = 0;
|
||||
return true;
|
||||
}
|
||||
let new_doc_id: DocId = self.idx as DocId;
|
||||
self.idx += 1;
|
||||
if self.idx >= self.len {
|
||||
self.idx = self.len;
|
||||
return false;
|
||||
}
|
||||
let old_doc: DocId = self.doc_id_map.get_old_doc_id(new_doc_id);
|
||||
let num_vals_for_doc =
|
||||
self.column.get_val(old_doc as u64 + 1) - self.column.get_val(old_doc as u64);
|
||||
self.val += num_vals_for_doc;
|
||||
true
|
||||
}
|
||||
|
||||
fn get(&self) -> u64 {
|
||||
self.val
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a, C: Column> MultivalueStartIndex<'a, C> {
|
||||
pub fn new(column: &'a C, doc_id_map: &'a DocIdMapping) -> Self {
|
||||
assert_eq!(column.num_vals(), doc_id_map.num_old_doc_ids() as u64 + 1);
|
||||
let iter = MultivalueStartIndexIter::new(column, doc_id_map);
|
||||
let (min_value, max_value) = tantivy_bitpacker::minmax(iter).unwrap_or((0, 0));
|
||||
MultivalueStartIndex {
|
||||
column,
|
||||
doc_id_map,
|
||||
min_value,
|
||||
max_value,
|
||||
}
|
||||
}
|
||||
|
||||
fn specialized_reader(&self) -> MultivalueStartIndexReader<'a, C> {
|
||||
MultivalueStartIndexReader::new(self.column, self.doc_id_map)
|
||||
}
|
||||
}
|
||||
impl<'a, C: Column> Column for MultivalueStartIndex<'a, C> {
|
||||
fn reader(&self) -> Box<dyn ColumnReader + '_> {
|
||||
Box::new(self.specialized_reader())
|
||||
}
|
||||
|
||||
fn get_val(&self, idx: u64) -> u64 {
|
||||
let mut reader = self.specialized_reader();
|
||||
reader.seek(idx)
|
||||
}
|
||||
|
||||
fn min_value(&self) -> u64 {
|
||||
self.min_value
|
||||
}
|
||||
|
||||
fn max_value(&self) -> u64 {
|
||||
self.max_value
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
(self.doc_id_map.num_new_doc_ids() + 1) as u64
|
||||
}
|
||||
}
|
||||
|
||||
struct MultivalueStartIndexIter<'a, C: Column> {
|
||||
column: &'a C,
|
||||
doc_id_map: &'a DocIdMapping,
|
||||
new_doc_id: usize,
|
||||
offset: u64,
|
||||
}
|
||||
|
||||
impl<'a, C: Column> MultivalueStartIndexIter<'a, C> {
|
||||
fn new(column: &'a C, doc_id_map: &'a DocIdMapping) -> Self {
|
||||
Self {
|
||||
column,
|
||||
doc_id_map,
|
||||
new_doc_id: 0,
|
||||
offset: 0,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a, C: Column> Iterator for MultivalueStartIndexIter<'a, C> {
|
||||
type Item = u64;
|
||||
|
||||
fn next(&mut self) -> Option<Self::Item> {
|
||||
if self.new_doc_id > self.doc_id_map.num_new_doc_ids() {
|
||||
return None;
|
||||
}
|
||||
let new_doc_id = self.new_doc_id;
|
||||
self.new_doc_id += 1;
|
||||
let start_offset = self.offset;
|
||||
if new_doc_id < self.doc_id_map.num_new_doc_ids() {
|
||||
let old_doc = self.doc_id_map.get_old_doc_id(new_doc_id as u32) as u64;
|
||||
let num_vals_for_doc = self.column.get_val(old_doc + 1) - self.column.get_val(old_doc);
|
||||
self.offset += num_vals_for_doc;
|
||||
}
|
||||
Some(start_offset)
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use fastfield_codecs::VecColumn;
|
||||
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn test_multivalue_start_index() {
|
||||
let doc_id_mapping = DocIdMapping::from_new_id_to_old_id(vec![4, 1, 2]);
|
||||
assert_eq!(doc_id_mapping.num_old_doc_ids(), 5);
|
||||
let col = VecColumn::from(&[0u64, 3, 5, 10, 12, 16][..]);
|
||||
let multivalue_start_index = MultivalueStartIndex::new(
|
||||
&col, // 3, 2, 5, 2, 4
|
||||
&doc_id_mapping,
|
||||
);
|
||||
assert_eq!(multivalue_start_index.num_vals(), 4);
|
||||
assert_eq!(
|
||||
fastfield_codecs::iter_from_reader(multivalue_start_index.reader())
|
||||
.collect::<Vec<u64>>(),
|
||||
vec![0, 4, 6, 11]
|
||||
); // 4, 2, 5
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_multivalue_get_vals() {
|
||||
let doc_id_mapping =
|
||||
DocIdMapping::from_new_id_to_old_id(vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
|
||||
assert_eq!(doc_id_mapping.num_old_doc_ids(), 10);
|
||||
let col = VecColumn::from(&[0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55][..]);
|
||||
let multivalue_start_index = MultivalueStartIndex::new(&col, &doc_id_mapping);
|
||||
assert_eq!(
|
||||
fastfield_codecs::iter_from_reader(multivalue_start_index.reader())
|
||||
.collect::<Vec<u64>>(),
|
||||
vec![0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55]
|
||||
);
|
||||
assert_eq!(multivalue_start_index.num_vals(), 11);
|
||||
let mut multivalue_start_index_reader = multivalue_start_index.reader();
|
||||
assert_eq!(multivalue_start_index_reader.seek(3), 2);
|
||||
assert_eq!(multivalue_start_index_reader.seek(5), 5);
|
||||
assert_eq!(multivalue_start_index_reader.seek(8), 21);
|
||||
assert_eq!(multivalue_start_index_reader.seek(4), 3);
|
||||
assert_eq!(multivalue_start_index_reader.seek(0), 0);
|
||||
assert_eq!(multivalue_start_index_reader.seek(10), 55);
|
||||
}
|
||||
}
|
||||
@@ -1,10 +1,11 @@
|
||||
use std::io;
|
||||
use std::sync::Mutex;
|
||||
|
||||
use fastfield_codecs::{Column, MonotonicallyMappableToU64, VecColumn};
|
||||
use fastfield_codecs::{MonotonicallyMappableToU64, VecColumn};
|
||||
use fnv::FnvHashMap;
|
||||
|
||||
use crate::fastfield::{value_to_u64, CompositeFastFieldSerializer, FastFieldType};
|
||||
use crate::fastfield::{
|
||||
value_to_u64, CompositeFastFieldSerializer, FastFieldType, MultivalueStartIndex,
|
||||
};
|
||||
use crate::indexer::doc_id_mapping::DocIdMapping;
|
||||
use crate::postings::UnorderedTermId;
|
||||
use crate::schema::{Document, Field, Value};
|
||||
@@ -200,155 +201,3 @@ impl MultiValuedFastFieldWriter {
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) struct MultivalueStartIndex<'a, C: Column> {
|
||||
column: &'a C,
|
||||
doc_id_map: &'a DocIdMapping,
|
||||
min_max_opt: Mutex<Option<(u64, u64)>>,
|
||||
random_seeker: Mutex<MultivalueStartIndexRandomSeeker<'a, C>>,
|
||||
}
|
||||
|
||||
struct MultivalueStartIndexRandomSeeker<'a, C: Column> {
|
||||
seek_head: MultivalueStartIndexIter<'a, C>,
|
||||
seek_next_id: u64,
|
||||
}
|
||||
impl<'a, C: Column> MultivalueStartIndexRandomSeeker<'a, C> {
|
||||
fn new(column: &'a C, doc_id_map: &'a DocIdMapping) -> Self {
|
||||
Self {
|
||||
seek_head: MultivalueStartIndexIter {
|
||||
column,
|
||||
doc_id_map,
|
||||
new_doc_id: 0,
|
||||
offset: 0u64,
|
||||
},
|
||||
seek_next_id: 0u64,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a, C: Column> MultivalueStartIndex<'a, C> {
|
||||
pub fn new(column: &'a C, doc_id_map: &'a DocIdMapping) -> Self {
|
||||
assert_eq!(column.num_vals(), doc_id_map.num_old_doc_ids() as u64 + 1);
|
||||
MultivalueStartIndex {
|
||||
column,
|
||||
doc_id_map,
|
||||
min_max_opt: Mutex::default(),
|
||||
random_seeker: Mutex::new(MultivalueStartIndexRandomSeeker::new(column, doc_id_map)),
|
||||
}
|
||||
}
|
||||
|
||||
fn minmax(&self) -> (u64, u64) {
|
||||
if let Some((min, max)) = *self.min_max_opt.lock().unwrap() {
|
||||
return (min, max);
|
||||
}
|
||||
let (min, max) = tantivy_bitpacker::minmax(self.iter()).unwrap_or((0u64, 0u64));
|
||||
*self.min_max_opt.lock().unwrap() = Some((min, max));
|
||||
(min, max)
|
||||
}
|
||||
}
|
||||
impl<'a, C: Column> Column for MultivalueStartIndex<'a, C> {
|
||||
fn get_val(&self, idx: u64) -> u64 {
|
||||
let mut random_seeker_lock = self.random_seeker.lock().unwrap();
|
||||
if random_seeker_lock.seek_next_id > idx {
|
||||
*random_seeker_lock =
|
||||
MultivalueStartIndexRandomSeeker::new(self.column, self.doc_id_map);
|
||||
}
|
||||
let to_skip = idx - random_seeker_lock.seek_next_id;
|
||||
random_seeker_lock.seek_next_id = idx + 1;
|
||||
random_seeker_lock.seek_head.nth(to_skip as usize).unwrap()
|
||||
}
|
||||
|
||||
fn min_value(&self) -> u64 {
|
||||
self.minmax().0
|
||||
}
|
||||
|
||||
fn max_value(&self) -> u64 {
|
||||
self.minmax().1
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
(self.doc_id_map.num_new_doc_ids() + 1) as u64
|
||||
}
|
||||
|
||||
fn iter<'b>(&'b self) -> Box<dyn Iterator<Item = u64> + 'b> {
|
||||
Box::new(MultivalueStartIndexIter::new(self.column, self.doc_id_map))
|
||||
}
|
||||
}
|
||||
|
||||
struct MultivalueStartIndexIter<'a, C: Column> {
|
||||
pub column: &'a C,
|
||||
pub doc_id_map: &'a DocIdMapping,
|
||||
pub new_doc_id: usize,
|
||||
pub offset: u64,
|
||||
}
|
||||
|
||||
impl<'a, C: Column> MultivalueStartIndexIter<'a, C> {
|
||||
fn new(column: &'a C, doc_id_map: &'a DocIdMapping) -> Self {
|
||||
Self {
|
||||
column,
|
||||
doc_id_map,
|
||||
new_doc_id: 0,
|
||||
offset: 0,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a, C: Column> Iterator for MultivalueStartIndexIter<'a, C> {
|
||||
type Item = u64;
|
||||
|
||||
fn next(&mut self) -> Option<Self::Item> {
|
||||
if self.new_doc_id > self.doc_id_map.num_new_doc_ids() {
|
||||
return None;
|
||||
}
|
||||
let new_doc_id = self.new_doc_id;
|
||||
self.new_doc_id += 1;
|
||||
let start_offset = self.offset;
|
||||
if new_doc_id < self.doc_id_map.num_new_doc_ids() {
|
||||
let old_doc = self.doc_id_map.get_old_doc_id(new_doc_id as u32) as u64;
|
||||
let num_vals_for_doc = self.column.get_val(old_doc + 1) - self.column.get_val(old_doc);
|
||||
self.offset += num_vals_for_doc;
|
||||
}
|
||||
Some(start_offset)
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn test_multivalue_start_index() {
|
||||
let doc_id_mapping = DocIdMapping::from_new_id_to_old_id(vec![4, 1, 2]);
|
||||
assert_eq!(doc_id_mapping.num_old_doc_ids(), 5);
|
||||
let col = VecColumn::from(&[0u64, 3, 5, 10, 12, 16][..]);
|
||||
let multivalue_start_index = MultivalueStartIndex::new(
|
||||
&col, // 3, 2, 5, 2, 4
|
||||
&doc_id_mapping,
|
||||
);
|
||||
assert_eq!(multivalue_start_index.num_vals(), 4);
|
||||
assert_eq!(
|
||||
multivalue_start_index.iter().collect::<Vec<u64>>(),
|
||||
vec![0, 4, 6, 11]
|
||||
); // 4, 2, 5
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_multivalue_get_vals() {
|
||||
let doc_id_mapping =
|
||||
DocIdMapping::from_new_id_to_old_id(vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
|
||||
assert_eq!(doc_id_mapping.num_old_doc_ids(), 10);
|
||||
let col = VecColumn::from(&[0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55][..]);
|
||||
let multivalue_start_index = MultivalueStartIndex::new(&col, &doc_id_mapping);
|
||||
assert_eq!(
|
||||
multivalue_start_index.iter().collect::<Vec<u64>>(),
|
||||
vec![0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55]
|
||||
);
|
||||
assert_eq!(multivalue_start_index.num_vals(), 11);
|
||||
assert_eq!(multivalue_start_index.get_val(3), 2);
|
||||
assert_eq!(multivalue_start_index.get_val(5), 5);
|
||||
assert_eq!(multivalue_start_index.get_val(8), 21);
|
||||
assert_eq!(multivalue_start_index.get_val(4), 3);
|
||||
assert_eq!(multivalue_start_index.get_val(0), 0);
|
||||
assert_eq!(multivalue_start_index.get_val(10), 55);
|
||||
}
|
||||
}
|
||||
|
||||
112
src/fastfield/remapped_column.rs
Normal file
112
src/fastfield/remapped_column.rs
Normal file
@@ -0,0 +1,112 @@
|
||||
use fastfield_codecs::{Column, ColumnReader};
|
||||
use tantivy_bitpacker::BlockedBitpacker;
|
||||
|
||||
use crate::indexer::doc_id_mapping::DocIdMapping;
|
||||
use crate::DocId;
|
||||
|
||||
#[derive(Clone)]
|
||||
pub(crate) struct WriterFastFieldColumn<'map, 'bitp> {
|
||||
pub(crate) doc_id_mapping_opt: Option<&'map DocIdMapping>,
|
||||
pub(crate) vals: &'bitp BlockedBitpacker,
|
||||
pub(crate) min_value: u64,
|
||||
pub(crate) max_value: u64,
|
||||
pub(crate) num_vals: u64,
|
||||
}
|
||||
|
||||
impl<'map, 'bitp> Column for WriterFastFieldColumn<'map, 'bitp> {
|
||||
/// Return the value associated to the given doc.
|
||||
///
|
||||
/// Whenever possible use the Iterator passed to the fastfield creation instead, for performance
|
||||
/// reasons.
|
||||
///
|
||||
/// # Panics
|
||||
///
|
||||
/// May panic if `doc` is greater than the index.
|
||||
fn get_val(&self, doc: u64) -> u64 {
|
||||
if let Some(doc_id_map) = self.doc_id_mapping_opt {
|
||||
self.vals
|
||||
.get(doc_id_map.get_old_doc_id(doc as u32) as usize) // consider extra
|
||||
// FastFieldReader wrapper for
|
||||
// non doc_id_map
|
||||
} else {
|
||||
self.vals.get(doc as usize)
|
||||
}
|
||||
}
|
||||
|
||||
fn reader(&self) -> Box<dyn ColumnReader + '_> {
|
||||
if let Some(doc_id_mapping) = self.doc_id_mapping_opt {
|
||||
Box::new(RemappedColumnReader {
|
||||
doc_id_mapping,
|
||||
vals: self.vals,
|
||||
idx: u64::MAX,
|
||||
len: doc_id_mapping.num_new_doc_ids() as u64,
|
||||
})
|
||||
} else {
|
||||
Box::new(BitpackedColumnReader {
|
||||
vals: self.vals,
|
||||
idx: u64::MAX,
|
||||
len: self.num_vals,
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
fn min_value(&self) -> u64 {
|
||||
self.min_value
|
||||
}
|
||||
|
||||
fn max_value(&self) -> u64 {
|
||||
self.max_value
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
self.num_vals
|
||||
}
|
||||
}
|
||||
|
||||
struct RemappedColumnReader<'a> {
|
||||
doc_id_mapping: &'a DocIdMapping,
|
||||
vals: &'a BlockedBitpacker,
|
||||
idx: u64,
|
||||
len: u64,
|
||||
}
|
||||
|
||||
impl<'a> ColumnReader for RemappedColumnReader<'a> {
|
||||
fn seek(&mut self, target_idx: u64) -> u64 {
|
||||
assert!(target_idx < self.len);
|
||||
self.idx = target_idx;
|
||||
self.get()
|
||||
}
|
||||
|
||||
fn advance(&mut self) -> bool {
|
||||
self.idx = self.idx.wrapping_add(1);
|
||||
self.idx < self.len
|
||||
}
|
||||
|
||||
fn get(&self) -> u64 {
|
||||
let old_doc_id: DocId = self.doc_id_mapping.get_old_doc_id(self.idx as DocId);
|
||||
self.vals.get(old_doc_id as usize)
|
||||
}
|
||||
}
|
||||
|
||||
struct BitpackedColumnReader<'a> {
|
||||
vals: &'a BlockedBitpacker,
|
||||
idx: u64,
|
||||
len: u64,
|
||||
}
|
||||
|
||||
impl<'a> ColumnReader for BitpackedColumnReader<'a> {
|
||||
fn seek(&mut self, target_idx: u64) -> u64 {
|
||||
assert!(target_idx < self.len);
|
||||
self.idx = target_idx;
|
||||
self.get()
|
||||
}
|
||||
|
||||
fn advance(&mut self) -> bool {
|
||||
self.idx = self.idx.wrapping_add(1);
|
||||
self.idx < self.len
|
||||
}
|
||||
|
||||
fn get(&self) -> u64 {
|
||||
self.vals.get(self.idx as usize)
|
||||
}
|
||||
}
|
||||
@@ -2,12 +2,13 @@ use std::collections::HashMap;
|
||||
use std::io;
|
||||
|
||||
use common;
|
||||
use fastfield_codecs::{Column, MonotonicallyMappableToU64};
|
||||
use fastfield_codecs::MonotonicallyMappableToU64;
|
||||
use fnv::FnvHashMap;
|
||||
use tantivy_bitpacker::BlockedBitpacker;
|
||||
|
||||
use super::multivalued::MultiValuedFastFieldWriter;
|
||||
use super::FastFieldType;
|
||||
use crate::fastfield::remapped_column::WriterFastFieldColumn;
|
||||
use crate::fastfield::{BytesFastFieldWriter, CompositeFastFieldSerializer};
|
||||
use crate::indexer::doc_id_mapping::DocIdMapping;
|
||||
use crate::postings::UnorderedTermId;
|
||||
@@ -351,7 +352,7 @@ impl IntFastFieldWriter {
|
||||
pub fn serialize(
|
||||
&self,
|
||||
serializer: &mut CompositeFastFieldSerializer,
|
||||
doc_id_map: Option<&DocIdMapping>,
|
||||
doc_id_mapping_opt: Option<&DocIdMapping>,
|
||||
) -> io::Result<()> {
|
||||
let (min, max) = if self.val_min > self.val_max {
|
||||
(0, 0)
|
||||
@@ -359,8 +360,8 @@ impl IntFastFieldWriter {
|
||||
(self.val_min, self.val_max)
|
||||
};
|
||||
|
||||
let fastfield_accessor = WriterFastFieldAccessProvider {
|
||||
doc_id_map,
|
||||
let fastfield_accessor = WriterFastFieldColumn {
|
||||
doc_id_mapping_opt,
|
||||
vals: &self.vals,
|
||||
min_value: min,
|
||||
max_value: max,
|
||||
@@ -372,57 +373,3 @@ impl IntFastFieldWriter {
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Clone)]
|
||||
struct WriterFastFieldAccessProvider<'map, 'bitp> {
|
||||
doc_id_map: Option<&'map DocIdMapping>,
|
||||
vals: &'bitp BlockedBitpacker,
|
||||
min_value: u64,
|
||||
max_value: u64,
|
||||
num_vals: u64,
|
||||
}
|
||||
|
||||
impl<'map, 'bitp> Column for WriterFastFieldAccessProvider<'map, 'bitp> {
|
||||
/// Return the value associated to the given doc.
|
||||
///
|
||||
/// Whenever possible use the Iterator passed to the fastfield creation instead, for performance
|
||||
/// reasons.
|
||||
///
|
||||
/// # Panics
|
||||
///
|
||||
/// May panic if `doc` is greater than the index.
|
||||
fn get_val(&self, doc: u64) -> u64 {
|
||||
if let Some(doc_id_map) = self.doc_id_map {
|
||||
self.vals
|
||||
.get(doc_id_map.get_old_doc_id(doc as u32) as usize) // consider extra
|
||||
// FastFieldReader wrapper for
|
||||
// non doc_id_map
|
||||
} else {
|
||||
self.vals.get(doc as usize)
|
||||
}
|
||||
}
|
||||
|
||||
fn iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
|
||||
if let Some(doc_id_map) = self.doc_id_map {
|
||||
Box::new(
|
||||
doc_id_map
|
||||
.iter_old_doc_ids()
|
||||
.map(|doc_id| self.vals.get(doc_id as usize)),
|
||||
)
|
||||
} else {
|
||||
Box::new(self.vals.iter())
|
||||
}
|
||||
}
|
||||
|
||||
fn min_value(&self) -> u64 {
|
||||
self.min_value
|
||||
}
|
||||
|
||||
fn max_value(&self) -> u64 {
|
||||
self.max_value
|
||||
}
|
||||
|
||||
fn num_vals(&self) -> u64 {
|
||||
self.num_vals
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,11 +1,11 @@
|
||||
use std::sync::Arc;
|
||||
|
||||
use fastfield_codecs::Column;
|
||||
use fastfield_codecs::{Column, ColumnReader};
|
||||
use itertools::Itertools;
|
||||
|
||||
use crate::indexer::doc_id_mapping::SegmentDocIdMapping;
|
||||
use crate::schema::Field;
|
||||
use crate::{DocAddress, SegmentReader};
|
||||
use crate::{DocAddress, DocId, SegmentReader};
|
||||
|
||||
pub(crate) struct SortedDocIdColumn<'a> {
|
||||
doc_id_mapping: &'a SegmentDocIdMapping,
|
||||
@@ -87,17 +87,14 @@ impl<'a> Column for SortedDocIdColumn<'a> {
|
||||
self.fast_field_readers[segment_ord as usize].get_val(doc_id as u64)
|
||||
}
|
||||
|
||||
fn iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
|
||||
Box::new(
|
||||
self.doc_id_mapping
|
||||
.iter_old_doc_addrs()
|
||||
.map(|old_doc_addr| {
|
||||
let fast_field_reader =
|
||||
&self.fast_field_readers[old_doc_addr.segment_ord as usize];
|
||||
fast_field_reader.get_val(old_doc_addr.doc_id as u64)
|
||||
}),
|
||||
)
|
||||
fn reader(&self) -> Box<dyn ColumnReader<u64> + '_> {
|
||||
Box::new(SortedDocIdColumnReader {
|
||||
doc_id_mapping: self.doc_id_mapping,
|
||||
fast_field_readers: &self.fast_field_readers[..],
|
||||
new_doc_id: u32::MAX,
|
||||
})
|
||||
}
|
||||
|
||||
fn min_value(&self) -> u64 {
|
||||
self.min_value
|
||||
}
|
||||
@@ -110,3 +107,27 @@ impl<'a> Column for SortedDocIdColumn<'a> {
|
||||
self.num_vals
|
||||
}
|
||||
}
|
||||
|
||||
struct SortedDocIdColumnReader<'a> {
|
||||
doc_id_mapping: &'a SegmentDocIdMapping,
|
||||
fast_field_readers: &'a [Arc<dyn Column>],
|
||||
new_doc_id: DocId,
|
||||
}
|
||||
|
||||
impl<'a> ColumnReader for SortedDocIdColumnReader<'a> {
|
||||
fn seek(&mut self, target_idx: u64) -> u64 {
|
||||
assert!(target_idx < self.doc_id_mapping.len() as u64);
|
||||
self.new_doc_id = target_idx as u32;
|
||||
self.get()
|
||||
}
|
||||
|
||||
fn advance(&mut self) -> bool {
|
||||
self.new_doc_id = self.new_doc_id.wrapping_add(1);
|
||||
self.new_doc_id < self.doc_id_mapping.len() as u32
|
||||
}
|
||||
|
||||
fn get(&self) -> u64 {
|
||||
let old_doc = self.doc_id_mapping.get_old_doc_addr(self.new_doc_id);
|
||||
self.fast_field_readers[old_doc.segment_ord as usize].get_val(old_doc.doc_id as u64)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
use std::cmp;
|
||||
|
||||
use fastfield_codecs::Column;
|
||||
use fastfield_codecs::{Column, ColumnReader};
|
||||
|
||||
use crate::fastfield::{MultiValueLength, MultiValuedFastFieldReader};
|
||||
use crate::indexer::doc_id_mapping::SegmentDocIdMapping;
|
||||
@@ -95,18 +95,6 @@ impl<'a> Column for SortedDocIdMultiValueColumn<'a> {
|
||||
vals[pos_in_values as usize]
|
||||
}
|
||||
|
||||
fn iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
|
||||
Box::new(
|
||||
self.doc_id_mapping
|
||||
.iter_old_doc_addrs()
|
||||
.flat_map(|old_doc_addr| {
|
||||
let ff_reader = &self.fast_field_readers[old_doc_addr.segment_ord as usize];
|
||||
let mut vals = Vec::new();
|
||||
ff_reader.get_vals(old_doc_addr.doc_id, &mut vals);
|
||||
vals.into_iter()
|
||||
}),
|
||||
)
|
||||
}
|
||||
fn min_value(&self) -> u64 {
|
||||
self.min_value
|
||||
}
|
||||
@@ -118,4 +106,80 @@ impl<'a> Column for SortedDocIdMultiValueColumn<'a> {
|
||||
fn num_vals(&self) -> u64 {
|
||||
self.num_vals
|
||||
}
|
||||
|
||||
fn reader(&self) -> Box<dyn ColumnReader<u64> + '_> {
|
||||
let mut reader = SortedDocMultiValueColumnReader {
|
||||
doc_id_mapping: self.doc_id_mapping,
|
||||
fast_field_readers: &self.fast_field_readers[..],
|
||||
new_doc_id: u32::MAX,
|
||||
in_buffer_idx: 0,
|
||||
buffer: Vec::new(),
|
||||
idx: u64::MAX,
|
||||
};
|
||||
reader.reset();
|
||||
Box::new(reader)
|
||||
}
|
||||
}
|
||||
|
||||
struct SortedDocMultiValueColumnReader<'a> {
|
||||
doc_id_mapping: &'a SegmentDocIdMapping,
|
||||
fast_field_readers: &'a [MultiValuedFastFieldReader<u64>],
|
||||
|
||||
new_doc_id: DocId,
|
||||
in_buffer_idx: usize,
|
||||
buffer: Vec<u64>,
|
||||
idx: u64,
|
||||
}
|
||||
|
||||
impl<'a> SortedDocMultiValueColumnReader<'a> {
|
||||
fn fill(&mut self) {
|
||||
let old_doc = self.doc_id_mapping.get_old_doc_addr(self.new_doc_id);
|
||||
let ff_reader = &self.fast_field_readers[old_doc.segment_ord as usize];
|
||||
ff_reader.get_vals(old_doc.doc_id, &mut self.buffer);
|
||||
self.in_buffer_idx = 0;
|
||||
}
|
||||
|
||||
fn reset(&mut self) {
|
||||
self.buffer.clear();
|
||||
self.idx = u64::MAX;
|
||||
self.in_buffer_idx = 0;
|
||||
self.new_doc_id = u32::MAX;
|
||||
}
|
||||
}
|
||||
|
||||
impl<'a> ColumnReader for SortedDocMultiValueColumnReader<'a> {
|
||||
fn seek(&mut self, target_idx: u64) -> u64 {
|
||||
if target_idx < self.idx {
|
||||
self.reset();
|
||||
self.advance();
|
||||
}
|
||||
for _ in self.idx..target_idx {
|
||||
// TODO could be optimized.
|
||||
assert!(self.advance());
|
||||
}
|
||||
self.get()
|
||||
}
|
||||
|
||||
fn advance(&mut self) -> bool {
|
||||
loop {
|
||||
self.in_buffer_idx += 1;
|
||||
if self.in_buffer_idx < self.buffer.len() {
|
||||
self.idx = self.idx.wrapping_add(1);
|
||||
return true;
|
||||
}
|
||||
self.new_doc_id = self.new_doc_id.wrapping_add(1);
|
||||
if self.new_doc_id >= self.doc_id_mapping.len() as u32 {
|
||||
return false;
|
||||
}
|
||||
self.fill();
|
||||
if !self.buffer.is_empty() {
|
||||
self.idx = self.idx.wrapping_add(1);
|
||||
return true;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fn get(&self) -> u64 {
|
||||
self.buffer[self.in_buffer_idx]
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user