# 使用 Homebrew, scoop 安装 odbc2parquet

查看 odbc2parquet 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:odbc2parquet
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install odbc2parquet
```

  证据: local Homebrew formula metadata

### Windows

- Scoop (92%):

```sh
scoop install main/odbc2parquet
```

  证据: Scoop official bucket manifest trees: bucket/odbc2parquet.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1

## 软件包事实

- **软件包键:** brew:odbc2parquet
- **软件包管理器:** Homebrew
- **版本:** 11.0.1
- **来源摘要:** CLI to query an ODBC data source and write the result into a Parquet file
- **主页:** <https://github.com/pacman82/odbc2parquet>
- **仓库:** <https://github.com/pacman82/odbc2parquet>
- **最后更新:** 2026-06-13T12:39:41Z
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- odbc2parquet (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: 11.0.1
## 项目历史与用法

odbc2parquet is a Rust command-line tool for extracting query results from ODBC data sources into Apache Parquet files, with matching commands for inserting Parquet data back through ODBC. It packages a narrow but valuable bridge between older database connectivity and columnar analytics storage.

### 项目历史

The public GitHub repository was created on 2020-08-27. The README frames the tool around small memory usage, ODBC bulk reads, and flexibility across any data source with an ODBC driver, including examples for SQL Server-style connection strings and DSNs.

The changelog shows steady maintenance and semantic versioning. Version 1.0.0 established semantic versioning and wrote Parquet 2.0; later releases added commands such as exec, refined timestamp and decimal behavior, updated odbc-api and parquet dependencies, and tuned logging.

### 采用历史

Distribution exists through Homebrew, Scoop, GitHub release binaries, and Cargo. That footprint matches the tool's cross-platform database-export role: Windows users often already have an ODBC manager, while Linux and macOS users install unixODBC.

### 使用方式

Users run odbc2parquet query with a connection string or DSN, an output Parquet path, and SQL. The tool maps ODBC type information to Parquet physical/logical types, streams batches instead of holding the full result in memory, and can list drivers or data sources for troubleshooting.

The insert and exec workflows make it useful in the other direction too: Parquet files can become input to parameterized database writes through ODBC drivers.

### 为什么软件包爱好者会关心

odbc2parquet is a good example of modern Rust CLI packaging around old enterprise plumbing. It avoids building a database-specific exporter for every engine by leaning on ODBC, then emits Parquet, the interchange format expected by many analytics stacks.

### 时间线

- 2020-08-27: public GitHub repository created.
- Version 1.0.0: changelog records Parquet 2.0 output and semantic versioning.
- 2026-06-13: changelog lists version 11.0.1.

### Related projects

- The tool is closely related to the author's odbc-api Rust bindings and to the Apache Parquet Rust implementation used by downstream Parquet CLIs and data tools.

### 来源

- <https://api.github.com/repos/pacman82/odbc2parquet>
- <https://crates.io/crates/odbc2parquet>
- <https://formulae.brew.sh/formula/odbc2parquet>
- <https://github.com/pacman82/odbc-api>
- <https://github.com/pacman82/odbc2parquet>
- <https://raw.githubusercontent.com/pacman82/odbc2parquet/main/CHANGELOG.md>
- <https://raw.githubusercontent.com/pacman82/odbc2parquet/main/README.md>


## 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

- Scoop - main/odbc2parquet: normalized package name match | Scoop official bucket manifest trees: bucket/odbc2parquet.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1


## Combined YAML source

View the package source record on GitHub. [combined/odbc2parquet.yml](https://github.com/mxcl/pkgdb/blob/main/combined/odbc2parquet.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
