# 使用 Homebrew, MacPorts 安装 grok

查看 grok 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

## 安装

```sh
sudo av install brew:grok
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install grok
```

  证据: local Homebrew formula metadata

- MacPorts (94%):

```sh
sudo port install grok
```

  证据: MacPorts ports tree: sysutils/grok/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1

## 软件包事实

- **软件包键:** brew:grok
- **软件包管理器:** Homebrew
- **版本:** 0.9.2
- **来源摘要:** DRY and RAD for regular expressions and then some
- **主页:** <https://github.com/jordansissel/grok>
- **仓库:** <https://github.com/jordansissel/grok>
- **最后更新:** 2026-08-02T20:52:08+09:00
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- discogrok (别名)

## 安装行为

- Bottle: 不可用

## 版本和新鲜度

- 页面生成时间: 2026-08-03
- 管理器版本: 0.9.2
## 项目历史与用法

Jordan Sissel's grok is a small Unix-oriented log parsing tool that turns reusable regular-expression patterns into structured output.

### 项目历史

The project predates its GitHub repository through the semicomplete.com and Google Code era referenced from the repository metadata. Its manual page describes the command as software for parsing logs, handling events, and turning unstructured text into structured data.

The C implementation builds a `grok` command, `discogrok`, and a shared library. Its pattern-file model lets users name regular expressions once and compose them in match blocks instead of repeating long PCRE expressions across log-processing configurations.

### 采用历史

The standalone package remained a niche command-line tool, but the grok pattern idea became culturally important in log processing. Similar pattern syntax appears in widely used log pipelines and observability products, while the original package stayed available through package managers such as Homebrew and MacPorts.

### 使用方式

A typical invocation points `grok` at a configuration file with `-f`. Configurations declare inputs such as files or command output, define match blocks, and emit reactions such as the original line, captured fields, JSON, or shell-command input.

### 为什么软件包爱好者会关心

For package nerds, the appeal is the old-school Unix shape: a C command, PCRE-backed named patterns, installable pattern files, and log parsing without pulling in a larger log-ingestion stack.

### 时间线

- 2011: The GitHub repository was created and release tags from the 2011 series were published.
- 2012: Homebrew and other package ecosystems carried the standalone tool during the early 2010s log-processing boom.
- 2020s: The original project persisted as a niche packaged utility while grok-style patterns became common in larger logging systems.

### Related projects

- Related projects include Jordan Sissel's Ruby grok implementation, Logstash-style grok filters, and observability tools that use named pattern matching for unstructured logs.
- It is also adjacent to traditional text-processing tools such as grep, awk, sed, and PCRE-based command-line filters.

### 来源

- <https://api.github.com/repos/jordansissel/grok>
- <https://api.github.com/repos/jordansissel/grok/tags>
- <https://github.com/jordansissel/grok>
- <https://github.com/jordansissel/grok/blob/master/grok.pod>


## 安全说明

narrow executable package without higher-risk signals.

- **Geiger 风险:** 绿色 / 低
- narrow executable package without higher-risk signals

## 其他软件包管理器记录

- MacPorts - grok: normalized package name match | MacPorts ports tree: sysutils/grok/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1


## Combined YAML source

View the package source record on GitHub. [combined/grok.yml](https://github.com/mxcl/pkgdb/blob/main/combined/grok.yml)


## 来源

- pkg.so package database
- Geiger risk classifier
- curated package history
- pkgdb category and tag curation
- external package-manager database matches
- cross-ecosystem install command graph