Fresh off the press, memchr 2.6.0 adds vector search routines for
aarch64. That directly improves our search performance for both text and
regex searches. Per BurntSushi's claims, the simple string searches in
ripgrep got ~2 times faster (more details available in
https://github.com/BurntSushi/memchr/pull/129).
Release Notes:
- N/A
Optimization to the Semantic Indexing Engine.
We've transitioned from a framework in which the entire project tree is
walked at each index command, to an eager queuing method, in which an
initial queue of outstanding indexing work is initialized upon workspace
creation, and then subscriptions are leveraged for file change events to
continually keep an updated view on outstanding work.
This optimization contributes towards quicker user feedback, when
initializing or using Semantic Search functionality. It also opens the
doors towards better transparency across the system on outstanding
indexing work.
Release Notes:
- Refactored index operation queue to an eager queuing framework.
- Moved semantic search initialization to workspace creation.
- Adjusted rate limiting strategy on api delays to reduce time spent
waiting for rate limits.
This is a follow-up to a recent patch I've submitted to this crate to
improve compile time and runtime (in older versions file lookup was
essentially O(n) with respect to path count, now it's O(log n))
Release Notes:
- N/A
Tailwind likes to throw a lot of completion data at us, this gets it to
send less. Previously it would respond to a completion with 2.5 MB JSON
blob, now it is more like 0.8 MB.
Relies on a local copy of lsp-types with the `itemDefaults` field added.
I don't have write perms to push to our fork of the crate atm, sorry :)
Nathan Sobo
Kirill Bulatov
Julia
Joseph T. Lyons
Piotr Osiewicz
Antonio Scandurra
Kyle Caverly
