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path: root/benchmark/fs/readfile-partitioned.js
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2019-03-30benchmark,lib: change var to constRuben Bridgewater
Refs: https://github.com/nodejs/node/pull/26679 PR-URL: https://github.com/nodejs/node/pull/26915 Reviewed-By: Michaël Zasso <targos@protonmail.com> Reviewed-By: Tobias Nießen <tniessen@tnie.de> Reviewed-By: Refael Ackermann <refack@gmail.com>
2019-02-06benchmark: refactor for consistent styleRich Trott
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>
2018-11-06benchmark: remove unused catch bindingscjihrig
PR-URL: https://github.com/nodejs/node/pull/24079 Reviewed-By: Sam Roberts <vieuxtech@gmail.com> Reviewed-By: Wyatt Preul <wpreul@gmail.com>
2018-02-01fs: partition readFile against pool exhaustionJamie Davis
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>