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- - rust.yml
- cli.rs
- fs.rs
- main.rs
- printer.rs
- search.rs
- upgrade.rs
- utils.rs
.gitignore
Cargo.lock
Cargo.toml
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README.md

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# grip-grab (`gg`) 🧤

A fast, more lightweight ripgrep alternative for daily use cases.

```sh
❯ gg "\b(Read|Write)Half[^<]" tokio/src
```

https://github.com/user-attachments/assets/13406bea-b6f2-4629-b814-366713a8d90d

## Installation
### Using Cargo
```bash
cargo install grip-grab
```

**NOTE:** if using zsh with the `git` plugin, you might need to unalias `gg` in order for grip-grab's `gg` to work:
```sh
echo 'unalias gg' >> ~/.zshrc
source ~/.zshrc
```

## Benchmarks

### The general idea
_With default settings for both tools, `gg` will typically be faster than `rg` on small to moderatly sized codebases (<= a couple milion lines) running on everyday machines because of its default thread heuristic. `rg` will typically be faster out of the box on larger corpora (think a checkout of the linux kernel) and machines with more logical cpus. Note that you still can tweak `gg` with the `-T` argument to achieve similar performance in those cases._

_[The following discussion with ripgrep's author on HackerNews](https://news.ycombinator.com/item?id=41380065) might also provide more insights regarding this tool's performance (including more benchmarks across different machines and corpora)._

*NOTE*: _The following benchmarks were run on an M3 Macbook Pro with 16GB of RAM and 8 logical CPUs._

### The `curl` codebase (approx. half a milion lines)
https://github.com/curl/curl

```sh
hyperfine -m 200 "gg '[A-Z]+_NOBODY' ." "rg '[A-Z]+_NOBODY' ." "ggrep -rE '[A-Z]+_NOBODY' ."
```
```
Benchmark 1: gg '[A-Z]+_NOBODY' .
  Time (mean ± σ):      18.5 ms ±   0.7 ms    [User: 10.5 ms, System: 47.9 ms]
  Range (min … max):    17.0 ms …  19.9 ms    200 runs

Benchmark 2: rg '[A-Z]+_NOBODY' .
  Time (mean ± σ):      37.0 ms ±   4.6 ms    [User: 15.1 ms, System: 201.0 ms]
  Range (min … max):    23.3 ms …  60.5 ms    200 runs

Benchmark 3: ggrep -rE '[A-Z]+_NOBODY' .
  Time (mean ± σ):      68.5 ms ±   0.6 ms    [User: 27.2 ms, System: 40.4 ms]
  Range (min … max):    64.6 ms …  70.4 ms    200 runs

Summary
  gg '[A-Z]+_NOBODY' . ran
    2.00 ± 0.26 times faster than rg '[A-Z]+_NOBODY' .
    3.71 ± 0.14 times faster than ggrep -rE '[A-Z]+_NOBODY' .
```

**Plaintext searches**
```sh
hyperfine -m 100 "gg 'test'" "rg 'test'" "ggrep -rE 'test'"
```
```
Benchmark 1: gg 'test'
  Time (mean ± σ):      22.3 ms ±   1.1 ms    [User: 16.5 ms, System: 51.0 ms]
  Range (min … max):    20.4 ms …  27.7 ms    100 runs

Benchmark 2: rg 'test'
  Time (mean ± σ):      49.7 ms ±   2.7 ms    [User: 23.4 ms, System: 298.3 ms]
  Range (min … max):    42.0 ms …  55.5 ms    100 runs

Benchmark 3: ggrep -rE 'test'
  Time (mean ± σ):      52.3 ms ±   0.9 ms    [User: 14.6 ms, System: 37.0 ms]
  Range (min … max):    50.1 ms …  56.9 ms    100 runs

Summary
  gg 'test' ran
    2.23 ± 0.16 times faster than rg 'test'
    2.34 ± 0.12 times faster than ggrep -rE 'test'
```

### The `tokio` codebase (approx. 160k lines)
https://github.com/tokio-rs/tokio

```sh
hyperfine -m 200 "gg 'in<\w, W>'" "rg 'in<\w, W>'" "ggrep -r 'in<[[:alnum:]], W>'"
```
```
Benchmark 1: gg 'in<\w, W>'
  Time (mean ± σ):       7.4 ms ±   0.7 ms    [User: 4.5 ms, System: 6.8 ms]
  Range (min … max):     6.0 ms …  10.3 ms    208 runs

Benchmark 2: rg 'in<\w, W>'
  Time (mean ± σ):       8.8 ms ±   0.8 ms    [User: 5.9 ms, System: 16.5 ms]
  Range (min … max):     6.7 ms …  10.7 ms    200 runs

Benchmark 3: ggrep -r 'in<[[:alnum:]], W>'
  Time (mean ± σ):     118.3 ms ±   2.1 ms    [User: 100.8 ms, System: 16.5 ms]
  Range (min … max):   114.3 ms … 127.4 ms    200 runs

Summary
  gg 'in<\w, W>' ran
    1.19 ± 0.15 times faster than rg 'in<\w, W>'
   15.92 ± 1.54 times faster than ggrep -r 'in<[[:alnum:]], W>'
```

**Plaintext searches**
These typically take <5ms on the tokio repository which is too low to benchmark with a tool like hyperfine.

### The `neovim` codebase (approx. 1.3 milion lines)
https://github.com/neovim/neovim

```sh
hyperfine --warmup 100 "gg '[a-z]+_buf\b'" "rg '[a-z]+_buf\b'" "ggrep -rE '[a-z]+_buf\b'"
```
```
Benchmark 1: gg '[a-z]+_buf\b'
  Time (mean ± σ):      19.0 ms ±   1.2 ms    [User: 12.4 ms, System: 54.4 ms]
  Range (min … max):    16.8 ms …  22.6 ms    113 runs

Benchmark 2: rg '[a-z]+_buf\b'
  Time (mean ± σ):      36.0 ms ±   4.9 ms    [User: 14.8 ms, System: 200.5 ms]
  Range (min … max):    23.9 ms …  46.2 ms    75 runs

Benchmark 3: ggrep -rE '[a-z]+_buf\b'
  Time (mean ± σ):      75.7 ms ±   0.9 ms    [User: 36.3 ms, System: 39.4 ms]
  Range (min … max):    74.1 ms …  78.1 ms    36 runs

Summary
  gg '[a-z]+_buf\b' ran
    1.89 ± 0.29 times faster than rg '[a-z]+_buf\b'
    3.99 ± 0.26 times faster than ggrep -rE '[a-z]+_buf\b'
```

**Plaintext searches**
```sh
hyperfine --warmup 100 -m 100 "gg 'test'" "rg 'test'" "ggrep -rE 'test'"
```
```
Benchmark 1: gg 'test'
  Time (mean ± σ):      21.0 ms ±   0.8 ms    [User: 15.3 ms, System: 48.1 ms]
  Range (min … max):    18.9 ms …  23.2 ms    114 runs

Benchmark 2: rg 'test'
  Time (mean ± σ):      42.4 ms ±   3.6 ms    [User: 19.5 ms, System: 253.3 ms]
  Range (min … max):    34.9 ms …  63.4 ms    100 runs

Benchmark 3: ggrep -rE 'test'
  Time (mean ± σ):      65.3 ms ±   1.6 ms    [User: 27.8 ms, System: 36.7 ms]
  Range (min … max):    63.2 ms …  78.4 ms    100 runs

Summary
  gg 'test' ran
    2.02 ± 0.19 times faster than rg 'test'
    3.11 ± 0.15 times faster than ggrep -rE 'test'
```

## Usage
```sh
❯ gg --help
```

```plaintext
A faster, more lightweight ripgrep alternative for day to day usecases.

Usage: gg [OPTIONS] [PATTERN] [PATHS]... [COMMAND]

Commands:
  upgrade  Upgrade the crate to its latest version
  help     Print this message or the help of the given subcommand(s)

Arguments:
  [PATTERN]   a regex pattern to search for
  [PATHS]...  path in which to search recursively

Options:
  -e, --patterns <PATTERNS>
          you can specify multiple patterns using -e "pattern1" -e "pattern2" etc
  -I, --ignore-paths <IGNORE_PATHS>
          paths to ignore when recursively walking target directory
  -G, --disregard-gitignore
          disregard .gitignore rules when recursively walking directory (defaults to false)
  -T, --n-threads <N_THREADS>
          number of threads to use [default: 4]
  -U, --multiline
          enable multiline matching
      --json
          output in JSON format
  -f, --file-paths-only
          output file paths only
  -A, --absolute-paths
          output absolute paths (defaults to relative)
  -C, --disable-colored-output
          disable colored output (colored by default)
  -t, --filter-filetypes <FILTER_FILETYPES>
          filter on filetype (defaults to all filetypes)
  -H, --disable-hyperlinks
          disable hyperlinks in output (defaults to false)
  -D, --disable-devicons
          disable devicons in output (defaults to false)
  -h, --help
          Print help
  -V, --version
          Print version
```

## Upgrading `gg`
You may upgrade `gg` to its latest version by running:
```sh
gg upgrade
```
```
Upgrade the crate to its latest version

Usage: gg upgrade [OPTIONS]

Options:
  -f, --force  Optional flag for force upgrade
  -h, --help   Print help
```

https://github.com/user-attachments/assets/8620a805-4b2a-498e-a0a0-e8b6835bc9cd

## Examples
### Basic usage
```sh
❯ gg "\b(Read|Write)Half[^<]" tokio/src
```
<img width="1838" alt="Screenshot 2024-10-04 at 14 48 44" src="https://github.com/user-attachments/assets/7ef9fecf-4a00-4be1-90bc-8579e49bced2">

### JSON output
```sh
❯ gg --json unsplit tokio/src | jq
```
<img width="1696" alt="Screenshot 2024-07-24 at 13 25 29" src="https://github.com/user-attachments/assets/67d4e90a-9bd1-4808-a260-226007339a55">

### Filenames only
```sh
❯ gg -f "\b(Read|Write)Half[^<]" tokio/src
```
<img width="684" alt="Screenshot 2024-10-04 at 14 49 44" src="https://github.com/user-attachments/assets/150006c9-7ba9-42a9-8d6c-ef46fde39ede">

## Notes
This lightweight utility is largely based on a couple of crates from the extraordinary [ripgrep](https://github.com/BurntSushi/ripgrep) tool.
Its aim is to provide a minimal and lightweight version that can be easily integrated in other programs for search-related purproses.

grip-grab

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