Sort more items than fit in memory: sorted runs spill to disk and merge as they are read.
Install with pip or uv:
pip install spillsortOr add the Rust crate:
cargo add spillsortThis library sorts like sorted(items, key=...), but in a fixed amount of memory.
Each item is keyed and encoded into bytes once, as it is added.
When the memory fills, a background thread sorts it and writes it to a temporary file while you keep adding.
Sorting merges those files with what is still in memory, so items come out in key order, and items with equal keys come out in the order they were added.
The engine is Rust, and it is also a Rust crate that needs no Python.
Give a key function and sort items, once:
from spillsort import Sorter
reads = [("chr2", 500, "read1"), ("chr1", 900, "read2"), ("chr1", 100, "read3"), ("chr1", 900, "read4")]
with Sorter(lambda read: (read[0], read[1])) as sorter:
ordered = list(sorter.sort(reads))
assert ordered == [("chr1", 100, "read3"), ("chr1", 900, "read2"), ("chr1", 900, "read4"), ("chr2", 500, "read1")]Add items one at a time as they arrive, bound the memory with max_bytes, sort on more threads with threads, and choose where to spill with tmp_dir:
import random
from tempfile import TemporaryDirectory
numbers = [random.random() for _ in range(100_000)]
with TemporaryDirectory() as tmp_dir, Sorter(max_bytes=2**20, threads=4, tmp_dir=tmp_dir) as sorter:
for number in numbers:
sorter.add(number)
ordered = list(sorter.sort())
assert ordered == sorted(numbers)Without tmp_dir, runs spill into tempfile.gettempdir(), and from Rust into std::env::temp_dir(), which on Unix is TMPDIR.
Either way, an empty TMPDIR means /tmp, never the current directory, and a relative directory is resolved when the sorter is made.
Items are pickled while they wait unless a codec turns them into bytes and back:
class Line:
def encode(self, item: str, /) -> bytes:
return item.encode()
def decode(self, data: bytes, /) -> str:
return data.decode()
with Sorter(lambda line: int(line.split("\t")[1]), codec=Line()) as sorter:
lines = list(sorter.sort(["chr1\t300\n", "chr1\t20\n", "chr1\t1000\n"]))
assert lines == ["chr1\t20\n", "chr1\t300\n", "chr1\t1000\n"]If you already have the bytes, add them with their key, and no Python runs per item. Write the sorted bytes to any binary file in large chunks, merged on another thread while the file writes:
import io
with Sorter() as sorter:
sorter.add_encoded(("chr2", 5), b"chr2\t5\t9\n")
sorter.add_encoded(("chr1", 70), b"chr1\t70\t80\n")
sorter.add_encoded(("chr1", 8), b"chr1\t8\t9\n")
out = io.BytesIO()
sorter.write_to(out)
assert out.getvalue() == b"chr1\t8\t9\nchr1\t70\t80\nchr2\t5\t9\n"From Rust, push keyed byte records and read them back merged:
use spillsort::{Config, Sorter, key};
fn main() -> Result<(), spillsort::Error> {
let mut sorter = Sorter::new(Config::default().max_bytes(64 << 20))?;
for (refname, start) in [("chr2", 5), ("chr1", 70), ("chr1", 8)] {
let mut sort_key = Vec::new();
key::push_str(&mut sort_key, refname);
key::push_int(&mut sort_key, start);
sorter.push(&sort_key, format!("{refname}\t{start}\n").as_bytes())?;
}
let mut out = Vec::new();
sorter.finish()?.write_values(&mut out)?;
assert_eq!(out, b"chr1\t8\nchr1\t70\nchr2\t5\n");
Ok(())
}See the API documentation for the crate.
Keys compare exactly as Python compares them, even ints and floats of any size, and NaN sorts last:
with Sorter() as sorter:
ordered = list(sorter.sort([2**64, float("nan"), 1.5, True, -0.5, 3]))
assert ordered[:-1] == [-0.5, True, 1.5, 3, 2**64]See the contributing guide for more information.