tvl-depot/tvix/tools/crunch-v2/src/main.rs
edef 31d73cd443 refactor(nix-compat/nar/reader): reuse prev_name allocation
We reuse the prev_name allocation for Entry, instead of allocating and
returning a separate Vec.

We encode the `prev_name: None` case as an empty vector, since we don't
allow empty names anyway, and the sorting is equivalent.

Change-Id: I975b37ff873805f5ff099bc82128706891052247
Reviewed-on: https://cl.tvl.fyi/c/depot/+/11607
Reviewed-by: Brian Olsen <me@griff.name>
Reviewed-by: flokli <flokli@flokli.de>
Tested-by: BuildkiteCI
2024-05-08 15:30:46 +00:00

309 lines
9.1 KiB
Rust

//! This is a tool for ingesting subsets of cache.nixos.org into its own flattened castore format.
//! Currently, produced chunks are not preserved, and this purely serves as a way of measuring
//! compression/deduplication ratios for various chunking and compression parameters.
//!
//! NARs to be ingested are read from `ingest.parquet`, and filtered by an SQL expression provided as a program argument.
//! The `file_hash` column should contain SHA-256 hashes of the compressed data, corresponding to the `FileHash` narinfo field.
//! The `compression` column should contain either `"bzip2"` or `"xz"`, corresponding to the `Compression` narinfo field.
//! Additional columns are ignored, but can be used by the SQL filter expression.
//!
//! flatstore protobufs are written to a sled database named `crunch.db`, addressed by file hash.
use crunch_v2::proto;
mod remote;
use anyhow::Result;
use clap::Parser;
use futures::{stream, StreamExt, TryStreamExt};
use indicatif::{ProgressBar, ProgressStyle};
use std::{
io::{self, BufRead, Read, Write},
path::PathBuf,
ptr,
};
use polars::{
prelude::{col, LazyFrame, ScanArgsParquet},
sql::sql_expr,
};
use fastcdc::v2020::{ChunkData, StreamCDC};
use nix_compat::nar::reader as nar;
use digest::Digest;
use prost::Message;
use sha2::Sha256;
#[derive(Parser)]
struct Args {
/// Path to an existing parquet file.
/// The `file_hash` column should contain SHA-256 hashes of the compressed
/// data, corresponding to the `FileHash` narinfo field.
/// The `compression` column should contain either `"bzip2"` or `"xz"`,
/// corresponding to the `Compression` narinfo field.
/// Additional columns are ignored, but can be used by the SQL filter expression.
#[clap(long, default_value = "ingest.parquet")]
infile: PathBuf,
/// Filter expression to filter elements in the parquet file for.
filter: String,
/// Average chunk size for FastCDC, in KiB.
/// min value is half, max value double of that number.
#[clap(long, default_value_t = 256)]
avg_chunk_size: u32,
/// Path to the sled database where results are written to (flatstore
/// protobufs, addressed by file hash).
#[clap(long, default_value = "crunch.db")]
outfile: PathBuf,
}
#[tokio::main]
async fn main() -> Result<()> {
let args = Args::parse();
let filter = sql_expr(args.filter)?;
let avg_chunk_size = args.avg_chunk_size * 1024;
let df = LazyFrame::scan_parquet(&args.infile, ScanArgsParquet::default())?
.filter(filter)
.select([col("file_hash"), col("compression")])
.drop_nulls(None)
.collect()?;
let progress = ProgressBar::new(df.height() as u64).with_style(ProgressStyle::with_template(
"{elapsed_precise}/{duration_precise} {wide_bar} {pos}/{len}",
)?);
let file_hash = df
.column("file_hash")?
.binary()?
.into_iter()
.map(|h| -> [u8; 32] { h.unwrap().try_into().unwrap() });
let compression = df
.column("compression")?
.utf8()?
.into_iter()
.map(|c| c.unwrap());
let db: sled::Db = sled::open(args.outfile).unwrap();
let files_tree = db.open_tree("files").unwrap();
let res = stream::iter(file_hash.zip(compression))
.map(Ok)
.try_for_each_concurrent(Some(16), |(file_hash, compression)| {
let progress = progress.clone();
let files_tree = files_tree.clone();
async move {
if files_tree.contains_key(&file_hash)? {
progress.inc(1);
return Ok(());
}
let reader = remote::nar(file_hash, compression).await?;
tokio::task::spawn_blocking(move || {
let mut reader = Sha256Reader::from(reader);
let path =
ingest(nar::open(&mut reader)?, vec![], avg_chunk_size).map(|node| {
proto::Path {
nar_hash: reader.finalize().as_slice().into(),
node: Some(node),
}
})?;
files_tree.insert(file_hash, path.encode_to_vec())?;
progress.inc(1);
Ok::<_, anyhow::Error>(())
})
.await?
}
})
.await;
let flush = files_tree.flush_async().await;
res?;
flush?;
Ok(())
}
fn ingest(node: nar::Node, name: Vec<u8>, avg_chunk_size: u32) -> Result<proto::path::Node> {
match node {
nar::Node::Symlink { target } => Ok(proto::path::Node::Symlink(proto::SymlinkNode {
name,
target,
})),
nar::Node::Directory(mut reader) => {
let mut directories = vec![];
let mut files = vec![];
let mut symlinks = vec![];
while let Some(node) = reader.next()? {
match ingest(node.node, node.name.to_owned(), avg_chunk_size)? {
proto::path::Node::Directory(node) => {
directories.push(node);
}
proto::path::Node::File(node) => {
files.push(node);
}
proto::path::Node::Symlink(node) => {
symlinks.push(node);
}
}
}
Ok(proto::path::Node::Directory(proto::DirectoryNode {
name,
directories,
files,
symlinks,
}))
}
nar::Node::File { executable, reader } => {
let mut reader = B3Reader::from(reader);
let mut chunks = vec![];
for chunk in StreamCDC::new(
&mut reader,
avg_chunk_size / 2,
avg_chunk_size,
avg_chunk_size * 2,
) {
let ChunkData {
length: size, data, ..
} = chunk?;
let hash = blake3::hash(&data);
let size_compressed = zstd_size(&data, 9);
chunks.push(proto::Chunk {
hash: hash.as_bytes().as_slice().into(),
size: size.try_into().unwrap(),
size_compressed: size_compressed.try_into().unwrap(),
});
}
Ok(proto::path::Node::File(proto::FileNode {
name,
hash: reader.finalize().as_bytes().as_slice().into(),
chunks,
executable,
}))
}
}
}
struct Sha256Reader<R> {
inner: R,
hasher: Sha256,
buf: *const [u8],
}
const ZERO_BUF: *const [u8] = ptr::slice_from_raw_parts(1 as *const u8, 0);
unsafe impl<R: Send> Send for Sha256Reader<R> {}
impl<R> From<R> for Sha256Reader<R> {
fn from(value: R) -> Self {
Self {
inner: value,
hasher: Sha256::new(),
buf: ZERO_BUF,
}
}
}
impl<R: Read> Read for Sha256Reader<R> {
fn read(&mut self, buf: &mut [u8]) -> io::Result<usize> {
self.buf = ZERO_BUF;
let n = self.inner.read(buf)?;
self.hasher.update(&buf[..n]);
Ok(n)
}
}
impl<R: BufRead> BufRead for Sha256Reader<R> {
fn fill_buf(&mut self) -> io::Result<&[u8]> {
self.buf = ZERO_BUF;
let buf = self.inner.fill_buf()?;
self.buf = buf as *const [u8];
Ok(buf)
}
fn consume(&mut self, amt: usize) {
// UNSAFETY: This assumes that `R::consume` doesn't invalidate the buffer.
// That's not a sound assumption in general, though it is likely to hold.
// TODO(edef): refactor this codebase to write a fresh NAR for verification purposes
// we already buffer full chunks, so there's no pressing need to reuse the input buffers
unsafe {
let (head, buf) = (*self.buf).split_at(amt);
self.buf = buf as *const [u8];
self.hasher.update(head);
self.inner.consume(amt);
}
}
}
impl<R> Sha256Reader<R> {
fn finalize(self) -> [u8; 32] {
self.hasher.finalize().into()
}
}
struct B3Reader<R> {
inner: R,
hasher: blake3::Hasher,
}
impl<R> From<R> for B3Reader<R> {
fn from(value: R) -> Self {
Self {
inner: value,
hasher: blake3::Hasher::new(),
}
}
}
impl<R: Read> Read for B3Reader<R> {
fn read(&mut self, buf: &mut [u8]) -> io::Result<usize> {
let n = self.inner.read(buf)?;
self.hasher.update(&buf[..n]);
Ok(n)
}
}
impl<R> B3Reader<R> {
fn finalize(self) -> blake3::Hash {
self.hasher.finalize()
}
}
fn zstd_size(data: &[u8], level: i32) -> u64 {
let mut w = zstd::Encoder::new(CountingWriter::default(), level).unwrap();
w.write_all(&data).unwrap();
let CountingWriter(size) = w.finish().unwrap();
size
}
#[derive(Default)]
struct CountingWriter(u64);
impl Write for CountingWriter {
fn write(&mut self, buf: &[u8]) -> io::Result<usize> {
self.0 += buf.len() as u64;
Ok(buf.len())
}
fn flush(&mut self) -> io::Result<()> {
Ok(())
}
}