4.4 KiB
ivy.nvim
An ivy-mode port to neovim. Ivy is a
generic completion mechanism for Emacs Nvim
Installation
Manually
git clone https://github.com/AdeAttwood/ivy.nvim ~/.config/nvim/pack/bundle/start/ivy.nvim
Plugin managers
TODO: Add docs in the plugin managers I don't use any
Compiling
For the native searching, you will need to compile the shard library. You can do that by running the below command in the root of the plugin.
cargo build --release
You will need to have the rust toolchain installed. You can find more about that here
Features
Commands
A command can be run that will launch the completion UI
| Command | Key Map | Description |
|---|---|---|
| IvyFd | <leader>p | Find files in your project with the fd cli file finder |
| IvyAg | <leader>/ | Find content in files using the silver searcher |
| IvyBuffers | <leader>b | Search though open buffers |
| IvyLines | Search the lines in the current buffer |
Actions
Action can be run on selected candidates provide functionality
| Action | Description |
|---|---|
| Complete | Run the completion function, usually this will be opening a file |
| Peek | Run the completion function on a selection, but don't close the results window |
API
vim.ivy.run(
-- The name given to the results window and displayed to the user
"Title",
-- Call back function to get all the candidates that will be displayed in
-- the results window, The `input` will be passed in, so you can filter
-- your results with the value from the prompt
function(input) return { "One", "Two", Three } end,
-- Action callback that will be called on the completion or peek actions.
-- The currently selected item is passed in as the result.
function(result) vim.cmd("edit " .. result) end
)
Benchmarks
Benchmarks are of various tasks that ivy will do. The purpose of the benchmarks are to give us a baseline on where to start when trying to optimize performance in the matching and sorting, not to put ivy against other tools. When starting to optimize, you will probably need to get a baseline on your hardware.
There are fixtures provided that will create the directory structure of the
kubernetes source code, from
somewhere arround commit sha 985c9202ccd250a5fe22c01faf0d8f83d804b9f3. This will
create a directory tree of 23511 files a relative large source tree to get a
good idea of performance. To create the source tree under
/tmp/ivy-trees/kubernetes run the following command. This will need to be run
for the benchmarks to run.
# Create the source trees
bash ./scripts/fixtures.bash
# Run the benchmark script
luajit ./scripts/benchmark.lua
Current benchmark status running on a e2-standard-2 2 vCPU + 8 GB memory VM
running on GCP.
Rust
| Name | Total | Adverage | Min | Max |
|---|---|---|---|---|
| ivy_match(file.lua) 1000000x | 03.961640 (s) | 00.000004 (s) | 00.000003 (s) | 00.002146 (s) |
| ivy_files(kubernetes) 100x | 03.895758 (s) | 00.038958 (s) | 00.034903 (s) | 00.043660 (s) |
CPP
| Name | Total | Adverage | Min | Max |
|---|---|---|---|---|
| ivy_match(file.lua) 1000000x | 01.855197 (s) | 00.000002 (s) | 00.000001 (s) | 00.000177 (s) |
| ivy_files(kubernetes) 100x | 14.696396 (s) | 00.146964 (s) | 00.056604 (s) | 00.168478 (s) |
Other stuff you might like
- ivy-mode - An emacs package that was the inspiration for this nvim plugin
- Command-T - Vim plugin I used before I started this one
- telescope.nvim - Another competition plugin, lots of people are using