##// END OF EJS Templates
nodemap: introduce an option to use mmap to read the nodemap mapping...
nodemap: introduce an option to use mmap to read the nodemap mapping The performance and memory benefit is much greater if we don't have to copy all the data in memory for each information. So we introduce an option (on by default) to read the data using mmap. This changeset is the last one definition the API for index support nodemap data. (they have to be able to use the mmaping). Below are some benchmark comparing the best we currently have in 5.3 with the final step of this series (using the persistent nodemap implementation in Rust). The benchmark run `hg perfindex` with various revset and the following variants: Before: * do not use the persistent nodemap * use the CPython implementation of the index for nodemap * use mmapping of the changelog index After: * use the MixedIndex Rust code, with the NodeTree object for nodemap access (still in review) * use the persistent nodemap data from disk * access the persistent nodemap data through mmap * use mmapping of the changelog index The persistent nodemap greatly speed up most operation on very large repositories. Some of the previously very fast lookup end up a bit slower because the persistent nodemap has to be setup. However the absolute slowdown is very small and won't matters in the big picture. Here are some numbers (in seconds) for the reference copy of mozilla-try: Revset Before After abs-change speedup -10000: 0.004622 0.005532 0.000910 × 0.83 -10: 0.000050 0.000132 0.000082 × 0.37 tip 0.000052 0.000085 0.000033 × 0.61 0 + (-10000:) 0.028222 0.005337 -0.022885 × 5.29 0 0.023521 0.000084 -0.023437 × 280.01 (-10000:) + 0 0.235539 0.005308 -0.230231 × 44.37 (-10:) + :9 0.232883 0.000180 -0.232703 ×1293.79 (-10000:) + (:99) 0.238735 0.005358 -0.233377 × 44.55 :99 + (-10000:) 0.317942 0.005593 -0.312349 × 56.84 :9 + (-10:) 0.313372 0.000179 -0.313193 ×1750.68 :9 0.316450 0.000143 -0.316307 ×2212.93 On smaller repositories, the cost of nodemap related operation is not as big, so the win is much more modest. Yet it helps shaving a handful of millisecond here and there. Here are some numbers (in seconds) for the reference copy of mercurial: Revset Before After abs-change speedup -10: 0.000065 0.000097 0.000032 × 0.67 tip 0.000063 0.000078 0.000015 × 0.80 0 0.000561 0.000079 -0.000482 × 7.10 -10000: 0.004609 0.003648 -0.000961 × 1.26 0 + (-10000:) 0.005023 0.003715 -0.001307 × 1.35 (-10:) + :9 0.002187 0.000108 -0.002079 ×20.25 (-10000:) + 0 0.006252 0.003716 -0.002536 × 1.68 (-10000:) + (:99) 0.006367 0.003707 -0.002660 × 1.71 :9 + (-10:) 0.003846 0.000110 -0.003736 ×34.96 :9 0.003854 0.000099 -0.003755 ×38.92 :99 + (-10000:) 0.007644 0.003778 -0.003866 × 2.02 Differential Revision: https://phab.mercurial-scm.org/D7894

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discovery.rs
161 lines | 5.7 KiB | application/rls-services+xml | RustLexer
// discovery.rs
//
// Copyright 2018 Georges Racinet <gracinet@anybox.fr>
//
// This software may be used and distributed according to the terms of the
// GNU General Public License version 2 or any later version.
//! Bindings for the `hg::discovery` module provided by the
//! `hg-core` crate. From Python, this will be seen as `rustext.discovery`
//!
//! # Classes visible from Python:
//! - [`PartialDiscover`] is the Rust implementation of
//! `mercurial.setdiscovery.partialdiscovery`.
use crate::{
cindex::Index, conversion::rev_pyiter_collect, exceptions::GraphError,
};
use cpython::{
ObjectProtocol, PyDict, PyModule, PyObject, PyResult, PyTuple, Python,
PythonObject, ToPyObject,
};
use hg::discovery::PartialDiscovery as CorePartialDiscovery;
use hg::Revision;
use std::collections::HashSet;
use std::cell::RefCell;
use crate::revlog::pyindex_to_graph;
py_class!(pub class PartialDiscovery |py| {
data inner: RefCell<Box<CorePartialDiscovery<Index>>>;
// `_respectsize` is currently only here to replicate the Python API and
// will be used in future patches inside methods that are yet to be
// implemented.
def __new__(
_cls,
repo: PyObject,
targetheads: PyObject,
respectsize: bool,
randomize: bool = true
) -> PyResult<PartialDiscovery> {
let index = repo.getattr(py, "changelog")?.getattr(py, "index")?;
Self::create_instance(
py,
RefCell::new(Box::new(CorePartialDiscovery::new(
pyindex_to_graph(py, index)?,
rev_pyiter_collect(py, &targetheads)?,
respectsize,
randomize,
)))
)
}
def addcommons(&self, commons: PyObject) -> PyResult<PyObject> {
let mut inner = self.inner(py).borrow_mut();
let commons_vec: Vec<Revision> = rev_pyiter_collect(py, &commons)?;
inner.add_common_revisions(commons_vec)
.map_err(|e| GraphError::pynew(py, e))?;
Ok(py.None())
}
def addmissings(&self, missings: PyObject) -> PyResult<PyObject> {
let mut inner = self.inner(py).borrow_mut();
let missings_vec: Vec<Revision> = rev_pyiter_collect(py, &missings)?;
inner.add_missing_revisions(missings_vec)
.map_err(|e| GraphError::pynew(py, e))?;
Ok(py.None())
}
def addinfo(&self, sample: PyObject) -> PyResult<PyObject> {
let mut missing: Vec<Revision> = Vec::new();
let mut common: Vec<Revision> = Vec::new();
for info in sample.iter(py)? { // info is a pair (Revision, bool)
let mut revknown = info?.iter(py)?;
let rev: Revision = revknown.next().unwrap()?.extract(py)?;
let known: bool = revknown.next().unwrap()?.extract(py)?;
if known {
common.push(rev);
} else {
missing.push(rev);
}
}
let mut inner = self.inner(py).borrow_mut();
inner.add_common_revisions(common)
.map_err(|e| GraphError::pynew(py, e))?;
inner.add_missing_revisions(missing)
.map_err(|e| GraphError::pynew(py, e))?;
Ok(py.None())
}
def hasinfo(&self) -> PyResult<bool> {
Ok(self.inner(py).borrow().has_info())
}
def iscomplete(&self) -> PyResult<bool> {
Ok(self.inner(py).borrow().is_complete())
}
def stats(&self) -> PyResult<PyDict> {
let stats = self.inner(py).borrow().stats();
let as_dict: PyDict = PyDict::new(py);
as_dict.set_item(py, "undecided",
stats.undecided.map(
|l| l.to_py_object(py).into_object())
.unwrap_or_else(|| py.None()))?;
Ok(as_dict)
}
def commonheads(&self) -> PyResult<HashSet<Revision>> {
self.inner(py).borrow().common_heads()
.map_err(|e| GraphError::pynew(py, e))
}
def takefullsample(&self, _headrevs: PyObject,
size: usize) -> PyResult<PyObject> {
let mut inner = self.inner(py).borrow_mut();
let sample = inner.take_full_sample(size)
.map_err(|e| GraphError::pynew(py, e))?;
let as_vec: Vec<PyObject> = sample
.iter()
.map(|rev| rev.to_py_object(py).into_object())
.collect();
Ok(PyTuple::new(py, as_vec.as_slice()).into_object())
}
def takequicksample(&self, headrevs: PyObject,
size: usize) -> PyResult<PyObject> {
let mut inner = self.inner(py).borrow_mut();
let revsvec: Vec<Revision> = rev_pyiter_collect(py, &headrevs)?;
let sample = inner.take_quick_sample(revsvec, size)
.map_err(|e| GraphError::pynew(py, e))?;
let as_vec: Vec<PyObject> = sample
.iter()
.map(|rev| rev.to_py_object(py).into_object())
.collect();
Ok(PyTuple::new(py, as_vec.as_slice()).into_object())
}
});
/// Create the module, with __package__ given from parent
pub fn init_module(py: Python, package: &str) -> PyResult<PyModule> {
let dotted_name = &format!("{}.discovery", package);
let m = PyModule::new(py, dotted_name)?;
m.add(py, "__package__", package)?;
m.add(
py,
"__doc__",
"Discovery of common node sets - Rust implementation",
)?;
m.add_class::<PartialDiscovery>(py)?;
let sys = PyModule::import(py, "sys")?;
let sys_modules: PyDict = sys.get(py, "modules")?.extract(py)?;
sys_modules.set_item(py, dotted_name, &m)?;
// Example C code (see pyexpat.c and import.c) will "give away the
// reference", but we won't because it will be consumed once the
// Rust PyObject is dropped.
Ok(m)
}