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2 Commits

Author SHA1 Message Date
Pascal Seitz
4c7437f2e0 fix typing 2022-09-27 19:12:49 +08:00
Pascal Seitz
cc82f94c72 sparse dense codec experiment 2022-09-27 17:12:12 +08:00
4 changed files with 270 additions and 0 deletions

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@@ -18,6 +18,7 @@ fastdivide = "0.4"
log = "0.4"
itertools = { version = "0.10.3" }
measure_time = { version="0.8.2", optional=true}
roaring = "0.10.1"
[dev-dependencies]
more-asserts = "0.3.0"

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@@ -44,6 +44,15 @@ mod tests {
open(OwnedBytes::new(buffer)).unwrap()
}
pub fn serialize_and_load_dense<T: MonotonicallyMappableToU64 + Ord + Default>(
column: &[T],
fill_ratio: u32,
) -> Arc<dyn Column<T>> {
let mut buffer = Vec::new();
serialize(VecColumn::from(&column), &mut buffer, &ALL_CODEC_TYPES).unwrap();
open_dense(OwnedBytes::new(buffer), fill_ratio).unwrap()
}
#[bench]
fn bench_intfastfield_jumpy_veclookup(b: &mut Bencher) {
let permutation = generate_permutation();
@@ -183,6 +192,67 @@ mod tests {
});
}
#[bench]
fn bench_intfastfield_stride7_fflookup_sparse_roaring(b: &mut Bencher) {
let permutation = generate_permutation();
let n = permutation.len();
let column: Arc<dyn Column<u64>> = serialize_and_load(&permutation);
let column = SparseCodecRoaringBitmap::with_full(column);
b.iter(|| {
let mut a = 0u64;
for i in (0..n / 7).map(|val| val * 7) {
a += column.get_val(i as u64);
}
a
});
}
#[bench]
fn bench_intfastfield_stride7_fflookup_dense_bitmap_with_offset(b: &mut Bencher) {
let permutation = generate_permutation();
let n = permutation.len();
let column: Arc<dyn Column<u64>> = serialize_and_load_dense(&permutation, 1000);
b.iter(|| {
let mut a = 0u64;
for i in (0..n / 7).map(|val| val * 7) {
a += column.get_val(i as u64);
}
a
});
}
#[bench]
fn bench_intfastfield_stride7_fflookup_dense_bitmap_with_offset_70percent_dense(
b: &mut Bencher,
) {
let permutation = generate_permutation();
let n = permutation.len();
let column: Arc<dyn Column<u64>> = serialize_and_load_dense(&permutation, 700);
b.iter(|| {
let mut a = 0u64;
for i in (0..n / 7).map(|val| val * 7) {
a += column.get_val(i as u64);
}
a
});
}
#[bench]
fn bench_intfastfield_stride7_fflookup_dense_bitmap_with_offset_20percent_dense(
b: &mut Bencher,
) {
let permutation = generate_permutation();
let n = permutation.len();
let column: Arc<dyn Column<u64>> = serialize_and_load_dense(&permutation, 200);
b.iter(|| {
let mut a = 0u64;
for i in (0..n / 7).map(|val| val * 7) {
a += column.get_val(i as u64);
}
a
});
}
#[bench]
fn bench_intfastfield_scan_all_fflookup(b: &mut Bencher) {
let permutation = generate_permutation();

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@@ -22,6 +22,7 @@ mod compact_space;
mod line;
mod linear;
mod monotonic_mapping;
mod sparse_codec_wrapper;
mod column;
mod gcd;
@@ -35,6 +36,8 @@ pub use self::monotonic_mapping::MonotonicallyMappableToU64;
pub use self::serialize::{
estimate, serialize, serialize_and_load, serialize_u128, NormalizedHeader,
};
pub use sparse_codec_wrapper::DenseCodec;
pub use sparse_codec_wrapper::SparseCodecRoaringBitmap;
#[derive(PartialEq, Eq, PartialOrd, Ord, Debug, Clone, Copy)]
#[repr(u8)]
@@ -76,6 +79,44 @@ impl FastFieldCodecType {
pub fn open_u128(bytes: OwnedBytes) -> io::Result<Arc<dyn Column<u128>>> {
Ok(Arc::new(CompactSpaceDecompressor::open(bytes)?))
}
//DenseCodec
//
/// Returns the correct codec reader wrapped in the `Arc` for the data.
pub fn open_dense<T: MonotonicallyMappableToU64>(
mut bytes: OwnedBytes,
fill_ratio: u32,
) -> io::Result<Arc<dyn Column<T>>> {
let header = Header::deserialize(&mut bytes)?;
match header.codec_type {
FastFieldCodecType::Bitpacked => {
open_specific_codec_dense::<BitpackedCodec, _>(bytes, &header, fill_ratio)
}
FastFieldCodecType::Linear => {
open_specific_codec_dense::<LinearCodec, _>(bytes, &header, fill_ratio)
}
FastFieldCodecType::BlockwiseLinear => {
open_specific_codec_dense::<BlockwiseLinearCodec, _>(bytes, &header, fill_ratio)
}
}
}
fn open_specific_codec_dense<C: FastFieldCodec, Item: MonotonicallyMappableToU64>(
bytes: OwnedBytes,
header: &Header,
fill_ratio: u32,
) -> io::Result<Arc<dyn Column<Item>>> {
let normalized_header = header.normalized();
let reader = C::open_from_bytes(bytes, normalized_header)?;
let reader = DenseCodec::with_fill_ratio(reader, fill_ratio);
let min_value = header.min_value;
if let Some(gcd) = header.gcd {
let monotonic_mapping = move |val: u64| Item::from_u64(min_value + val * gcd.get());
Ok(Arc::new(monotonic_map_column(reader, monotonic_mapping)))
} else {
let monotonic_mapping = move |val: u64| Item::from_u64(min_value + val);
Ok(Arc::new(monotonic_map_column(reader, monotonic_mapping)))
}
}
/// Returns the correct codec reader wrapped in the `Arc` for the data.
pub fn open<T: MonotonicallyMappableToU64>(
@@ -440,6 +481,7 @@ mod bench {
let data: Vec<_> = get_data();
bench_get::<BitpackedCodec>(b, &data);
}
#[bench]
fn bench_fastfield_bitpack_get_dynamic(b: &mut Bencher) {
let data: Vec<_> = get_data();

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@@ -0,0 +1,157 @@
use std::sync::Arc;
use rand::{thread_rng, Rng};
use roaring::RoaringBitmap;
use crate::Column;
pub struct SparseCodecRoaringBitmap {
null: RoaringBitmap,
column: Arc<dyn Column<u64>>, // column: C,
}
impl SparseCodecRoaringBitmap {
pub fn with_full(column: Arc<dyn Column<u64>>) -> Self {
let mut rb = RoaringBitmap::new();
rb.insert_range(0..column.num_vals() as u32 + 1);
Self { null: rb, column }
}
}
impl Column for SparseCodecRoaringBitmap {
fn get_val(&self, idx: u64) -> u64 {
let position_of_val = self.null.rank(idx as u32);
self.column.get_val(position_of_val) // TODO this does not handle null!
// self.null.select(num_vals)
}
fn min_value(&self) -> u64 {
todo!()
}
fn max_value(&self) -> u64 {
todo!()
}
fn num_vals(&self) -> u64 {
todo!()
}
}
pub struct DenseCodec<C> {
// the bitmap blocks of length 64 bit each
blocks: Vec<u64>,
// the offset for each block
offsets: Vec<u32>,
column: C, // column: C,
}
impl<C: Column> DenseCodec<C> {
// fill ratio valid range 0..1000 1000 == all elements, 1 == every 1000th element
pub fn with_fill_ratio(column: C, fill_ratio: u32) -> Self {
let mut rng = thread_rng();
let num_blocks = (column.num_vals() as usize / 64) + 1;
let mut blocks = Vec::with_capacity(num_blocks);
let mut offsets = Vec::with_capacity(num_blocks);
// fill all blocks
let mut offset = 0;
for _block_num in 0..num_blocks {
let mut block = 0;
for n in 0..64 {
if rng.gen_range(0..=1000) <= fill_ratio {
set_bit_at(&mut block, n);
}
}
blocks.push(block);
offsets.push(offset);
offset += block.count_ones();
}
Self {
blocks,
offsets,
column,
}
}
pub fn with_full(column: C) -> Self {
let num_blocks = (column.num_vals() as usize / 64) + 1;
let mut blocks = Vec::with_capacity(num_blocks);
let mut offsets = Vec::with_capacity(num_blocks);
// fill all blocks
let mut offset = 0;
for _block_num in 0..num_blocks {
let block = u64::MAX;
blocks.push(block);
offsets.push(offset);
offset += block.count_ones();
}
Self {
blocks,
offsets,
column,
}
}
}
fn gen_mask(msb: u64) -> u64 {
let src = 1 << msb;
src - 1
}
fn get_bit_at(input: u64, n: u64) -> bool {
input & (1 << n) != 0
}
fn set_bit_at(input: &mut u64, n: u64) {
*input |= 1 << n;
}
impl<C: Column> Column for DenseCodec<C> {
fn get_val(&self, idx: u64) -> u64 {
let block_pos = idx / 64;
let pos_in_block = idx % 64;
let offset = self.offsets[block_pos as usize];
let bitvec = self.blocks[block_pos as usize];
let offset_in_block = (bitvec & gen_mask(pos_in_block)).count_ones();
let dense_idx = offset as u64 + offset_in_block as u64;
if get_bit_at(bitvec, pos_in_block) {
self.column.get_val(dense_idx)
} else {
0 // TODO null
}
}
fn min_value(&self) -> u64 {
todo!()
}
fn max_value(&self) -> u64 {
todo!()
}
fn num_vals(&self) -> u64 {
todo!()
}
}
#[cfg(test)]
mod tests {
//use itertools::Itertools;
//use super::*;
//use crate::serialize_and_load;
//#[test]
//fn dense_test() {
//let data = (0..100u64).collect_vec();
//{
//let column = serialize_and_load(&data);
//let dense = DenseCodec::with_full(column);
//for i in 0..100 {
//dense.get_val(i);
//}
//}
//}
}