This removes 'to Number' casting in multiple benchmarks (which is
handled by the benchmark runner) and cleans up some var usage in changed
benchmarks.
PR-URL: https://github.com/nodejs/node/pull/31581
Reviewed-By: Anna Henningsen <anna@addaleax.net>
Reviewed-By: Rich Trott <rtrott@gmail.com>
Use let and const in domain, es, events, fixtures, fs, http,
http2 and misc.
PR-URL: https://github.com/nodejs/node/pull/31518
Reviewed-By: Anna Henningsen <anna@addaleax.net>
Reviewed-By: Rich Trott <rtrott@gmail.com>
Code in benchmark directory sometimes uses `function () {}` for
anonymous callbacks and sometimes uses `() => {}`. Multi-line arrays
sometimes have a trailing comma and sometimes do not. Update to always
use arrow functions for anonymous callbacks and trailing commas for
multiline arrays.
PR-URL: https://github.com/nodejs/node/pull/25944
Reviewed-By: Anto Aravinth <anto.aravinth.cse@gmail.com>
Reviewed-By: James M Snell <jasnell@gmail.com>
Problem:
Node implements fs.readFile as:
- a call to stat, then
- a C++ -> libuv request to read the entire file using the stat size
Why is this bad?
The effect is to place on the libuv threadpool a potentially-large
read request, occupying the libuv thread until it completes.
While readFile certainly requires buffering the entire file contents,
it can partition the read into smaller buffers
(as is done on other read paths)
along the way to avoid threadpool exhaustion.
If the file is relatively large or stored on a slow medium, reading
the entire file in one shot seems particularly harmful,
and presents a possible DoS vector.
Solution:
Partition the read into multiple smaller requests.
Considerations:
1. Correctness
I don't think partitioning the read like this raises
any additional risk of read-write races on the FS.
If the application is concurrently readFile'ing and modifying the file,
it will already see funny behavior. Though libuv uses preadv where
available, this doesn't guarantee read atomicity in the presence of
concurrent writes.
2. Performance
Downside: Partitioning means that a single large readFile will
require into many "out and back" requests to libuv,
introducing overhead.
Upside: In between each "out and back", other work pending on the
threadpool can take a turn.
In short, although partitioning will slow down a large request,
it will lead to better throughput if the threadpool is handling
more than one type of request.
Fixes: https://github.com/nodejs/node/issues/17047
PR-URL: https://github.com/nodejs/node/pull/17054
Reviewed-By: Benjamin Gruenbaum <benjamingr@gmail.com>
Reviewed-By: Tiancheng "Timothy" Gu <timothygu99@gmail.com>
Reviewed-By: Gireesh Punathil <gpunathi@in.ibm.com>
Reviewed-By: James M Snell <jasnell@gmail.com>
Reviewed-By: Matteo Collina <matteo.collina@gmail.com>
Reviewed-By: Sakthipriyan Vairamani <thechargingvolcano@gmail.com>
Reviewed-By: Ruben Bridgewater <ruben@bridgewater.de>
