mirror of
https://github.com/quickwit-oss/tantivy.git
synced 2026-05-18 09:10:41 +00:00
add contributing guidelines, add codec comparer binary
add contributing guidelines add codec comparer binary to test codec compressions with different test data sets
This commit is contained in:
@@ -11,7 +11,15 @@ description = "Fast field codecs used by tantivy"
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[dependencies]
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common = { path = "../common/" }
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tantivy-bitpacker = { path = "../bitpacker/" }
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prettytable-rs = {version="0.8.0", optional= true}
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#prettytable-rs = {version="0.8.0" }
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rand = "0.8.3"
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[dev-dependencies]
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more-asserts = "0.2.1"
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rand = "0.8.3"
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[features]
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bin = ["prettytable-rs"]
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#default = ["bin"]
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@@ -8,10 +8,55 @@ This crate contains various fast field codecs, used to compress/decompress fast
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Contributing is pretty straightforward. Since the bitpacking is the simplest compressor, you can check it for reference.
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A codec needs to implement 3 parts:
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A codec needs to implement 2 traits:
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A reader implementing `CodecReader` to read the codec.
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A serializer implementing `FastFieldSerializerEstimate` for compression estimation.
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`CodecId`, to identify the codec.
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A reader implementing `FastFieldCodecReader` to read the codec.
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A serializer implementing `FastFieldCodecSerializer` for compression estimation and codec name + id.
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Once the traits are implemented test and benchmark integration is pretty easy (see `test_with_codec_data_sets` and `bench.rs`).
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Make sure to add the codec to the main.rs, which tests the compression ratio and estimation against different data sets. You can run it with:
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```
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cargo run --features bin
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```
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Example Result
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```
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+----------------------------------+-------------------+------------------------+
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| | Compression Ratio | Compression Estimation |
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+----------------------------------+-------------------+------------------------+
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| Autoincrement | | |
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+----------------------------------+-------------------+------------------------+
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| LinearInterpol | 0.000039572664 | 0.000004396963 |
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+----------------------------------+-------------------+------------------------+
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| MultiLinearInterpol | 0.1477348 | 0.17275847 |
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+----------------------------------+-------------------+------------------------+
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| Bitpacked | 0.28126493 | 0.28125 |
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+----------------------------------+-------------------+------------------------+
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| Monotonically increasing concave | | |
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+----------------------------------+-------------------+------------------------+
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| LinearInterpol | 0.25003937 | 0.26562938 |
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+----------------------------------+-------------------+------------------------+
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| MultiLinearInterpol | 0.190665 | 0.1883836 |
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+----------------------------------+-------------------+------------------------+
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| Bitpacked | 0.31251436 | 0.3125 |
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+----------------------------------+-------------------+------------------------+
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| Monotonically increasing convex | | |
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+----------------------------------+-------------------+------------------------+
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| LinearInterpol | 0.25003937 | 0.28125438 |
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+----------------------------------+-------------------+------------------------+
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| MultiLinearInterpol | 0.18676 | 0.2040086 |
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+----------------------------------+-------------------+------------------------+
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| Bitpacked | 0.31251436 | 0.3125 |
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+----------------------------------+-------------------+------------------------+
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| Almost monotonically increasing | | |
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+----------------------------------+-------------------+------------------------+
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| LinearInterpol | 0.14066513 | 0.1562544 |
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+----------------------------------+-------------------+------------------------+
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| MultiLinearInterpol | 0.16335973 | 0.17275847 |
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+----------------------------------+-------------------+------------------------+
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| Bitpacked | 0.28126493 | 0.28125 |
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+----------------------------------+-------------------+------------------------+
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```
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@@ -8,7 +8,7 @@ mod tests {
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bitpacked::{BitpackedFastFieldReader, BitpackedFastFieldSerializer},
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linearinterpol::{LinearInterpolFastFieldReader, LinearInterpolFastFieldSerializer},
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multilinearinterpol::{
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MultiLinearInterpolFastFieldSerializer, MultiLinearinterpolFastFieldReader,
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MultiLinearInterpolFastFieldReader, MultiLinearInterpolFastFieldSerializer,
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},
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*,
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};
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@@ -92,7 +92,7 @@ mod tests {
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#[bench]
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fn bench_fastfield_multilinearinterpol_get(b: &mut Bencher) {
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let data: Vec<_> = get_data();
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bench_get::<MultiLinearInterpolFastFieldSerializer, MultiLinearinterpolFastFieldReader>(
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bench_get::<MultiLinearInterpolFastFieldSerializer, MultiLinearInterpolFastFieldReader>(
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b, &data,
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);
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}
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123
fastfield_codecs/src/main.rs
Normal file
123
fastfield_codecs/src/main.rs
Normal file
@@ -0,0 +1,123 @@
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#[macro_use]
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extern crate prettytable;
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use fastfield_codecs::{
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linearinterpol::LinearInterpolFastFieldSerializer,
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multilinearinterpol::MultiLinearInterpolFastFieldSerializer, FastFieldCodecSerializer,
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FastFieldStats,
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};
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use prettytable::{Cell, Row, Table};
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fn main() {
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let mut table = Table::new();
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// Add a row per time
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table.add_row(row!["", "Compression Ratio", "Compression Estimation"]);
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for (data, data_set_name) in get_codec_test_data_sets() {
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let mut results = vec![];
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let res = serialize_with_codec::<LinearInterpolFastFieldSerializer>(&data);
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results.push(res);
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let res = serialize_with_codec::<MultiLinearInterpolFastFieldSerializer>(&data);
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results.push(res);
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let res = serialize_with_codec::<fastfield_codecs::bitpacked::BitpackedFastFieldSerializer>(
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&data,
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);
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results.push(res);
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//let best_estimation_codec = results
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//.iter()
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//.min_by(|res1, res2| res1.partial_cmp(&res2).unwrap())
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//.unwrap();
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let best_compression_ratio_codec = results
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.iter()
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.min_by(|res1, res2| res1.partial_cmp(&res2).unwrap())
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.cloned()
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.unwrap();
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table.add_row(Row::new(vec![Cell::new(data_set_name).style_spec("Bbb")]));
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for (est, comp, name) in results {
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let (est_cell, ratio_cell) = if est == f32::MAX {
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("Codec Disabled".to_string(), "".to_string())
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} else {
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(est.to_string(), comp.to_string())
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};
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let style = if comp == best_compression_ratio_codec.1 {
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"Fb"
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} else {
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""
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};
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table.add_row(Row::new(vec![
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Cell::new(&name.to_string()).style_spec("bFg"),
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Cell::new(&ratio_cell).style_spec(style),
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Cell::new(&est_cell).style_spec(""),
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]));
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}
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}
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table.printstd();
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}
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pub fn get_codec_test_data_sets() -> Vec<(Vec<u64>, &'static str)> {
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let mut data_and_names = vec![];
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let data = (1000..=200_000_u64).collect::<Vec<_>>();
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data_and_names.push((data, "Autoincrement"));
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let mut current_cumulative = 0;
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let data = (1..=200_000_u64)
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.map(|num| {
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let num = (num as f32 + num as f32).log10() as u64;
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current_cumulative += num;
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current_cumulative
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})
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.collect::<Vec<_>>();
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//let data = (1..=200000_u64).map(|num| num + num).collect::<Vec<_>>();
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data_and_names.push((data, "Monotonically increasing concave"));
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let mut current_cumulative = 0;
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let data = (1..=200_000_u64)
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.map(|num| {
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let num = (200_000.0 - num as f32).log10() as u64;
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current_cumulative += num;
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current_cumulative
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})
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.collect::<Vec<_>>();
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data_and_names.push((data, "Monotonically increasing convex"));
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let data = (1000..=200_000_u64)
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.map(|num| num + rand::random::<u8>() as u64)
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.collect::<Vec<_>>();
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data_and_names.push((data, "Almost monotonically increasing"));
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data_and_names
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}
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pub fn serialize_with_codec<S: FastFieldCodecSerializer>(data: &[u64]) -> (f32, f32, &'static str) {
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let estimation = S::estimate(&data, stats_from_vec(&data));
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if estimation == f32::MAX {
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return (estimation, 0.0, S::NAME);
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}
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let mut out = vec![];
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S::create(
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&mut out,
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&data,
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stats_from_vec(&data),
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data.iter().cloned(),
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data.iter().cloned(),
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)
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.unwrap();
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let actual_compression = out.len() as f32 / (data.len() * 8) as f32;
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return (estimation, actual_compression, S::NAME);
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}
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pub fn stats_from_vec(data: &[u64]) -> FastFieldStats {
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let min_value = data.iter().cloned().min().unwrap_or(0);
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let max_value = data.iter().cloned().max().unwrap_or(0);
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FastFieldStats {
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min_value,
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max_value,
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num_vals: data.len() as u64,
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}
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}
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@@ -12,8 +12,8 @@ use fastfield_codecs::bitpacked::BitpackedFastFieldReader as BitpackedReader;
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use fastfield_codecs::bitpacked::BitpackedFastFieldSerializer;
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use fastfield_codecs::linearinterpol::LinearInterpolFastFieldReader;
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use fastfield_codecs::linearinterpol::LinearInterpolFastFieldSerializer;
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use fastfield_codecs::multilinearinterpol::MultiLinearInterpolFastFieldReader;
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use fastfield_codecs::multilinearinterpol::MultiLinearInterpolFastFieldSerializer;
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use fastfield_codecs::multilinearinterpol::MultiLinearinterpolFastFieldReader;
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use fastfield_codecs::FastFieldCodecReader;
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use fastfield_codecs::FastFieldCodecSerializer;
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use std::collections::HashMap;
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@@ -71,7 +71,7 @@ pub enum DynamicFastFieldReader<Item: FastValue> {
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/// Linear interpolated values + bitpacked
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LinearInterpol(FastFieldReaderCodecWrapper<Item, LinearInterpolFastFieldReader>),
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/// Blockwise linear interpolated values + bitpacked
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MultiLinearInterpol(FastFieldReaderCodecWrapper<Item, MultiLinearinterpolFastFieldReader>),
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MultiLinearInterpol(FastFieldReaderCodecWrapper<Item, MultiLinearInterpolFastFieldReader>),
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}
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impl<Item: FastValue> DynamicFastFieldReader<Item> {
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@@ -96,7 +96,7 @@ impl<Item: FastValue> DynamicFastFieldReader<Item> {
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MultiLinearInterpolFastFieldSerializer::ID => {
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DynamicFastFieldReader::MultiLinearInterpol(FastFieldReaderCodecWrapper::<
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Item,
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MultiLinearinterpolFastFieldReader,
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MultiLinearInterpolFastFieldReader,
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>::open_from_bytes(
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bytes
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)?)
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@@ -3,8 +3,6 @@ use crate::common::CompositeWrite;
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use crate::common::CountingWriter;
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use crate::directory::WritePtr;
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use crate::schema::Field;
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use fastfield_codecs::CodecId;
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//pub use bitpacked::BitpackedFastFieldSerializer;
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pub use fastfield_codecs::bitpacked::BitpackedFastFieldSerializer;
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pub use fastfield_codecs::bitpacked::BitpackedFastFieldSerializerLegacy;
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use fastfield_codecs::linearinterpol::LinearInterpolFastFieldSerializer;
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