# 使用 Homebrew 安装 rumbledb

查看 rumbledb 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:rumbledb
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install rumbledb
```

  证据: local Homebrew formula metadata

## 软件包事实

- **软件包键:** brew:rumbledb
- **软件包管理器:** Homebrew
- **软件包管理器页面:** <https://formulae.brew.sh/formula/rumbledb>
- **版本:** 2.1.0
- **来源摘要:** JSONiq and XQuery query engine on Apache Spark
- **主页:** <https://rumbledb.org/>
- **仓库:** <https://github.com/RumbleDB/rumble>
- **上游文档:** <https://rumbledb.org/>
- **许可证:** Apache-2.0
- **源码归档:** <https://github.com/RumbleDB/rumble/releases/download/v2.1.0/rumbledb-2.1.0-brew.zip>
- **最后更新:** 2026-07-25T16:29:09Z
- **已生成:** 2026-08-04T22:13:35+00:00

## 可执行文件

- rumbledb (cli)
- rumbledb (别名)

## 依赖

- apache-spark
- openjdk@21

## 安装行为

- post-install 钩子: 未定义
- Bottle: 可用 于 all

## 版本和新鲜度

- 页面生成时间: 2026-08-04
- 管理器版本: 2.1.0
- 管理器更新时间: 2026-07-25
- 本地数据: OK
- 上游仓库: https://github.com/RumbleDB/rumble
- 信息: No cached GitHub release or tag data was available.
## 项目历史与用法

RumbleDB is a JSONiq query engine for nested and heterogeneous datasets that runs locally or distributes work through Apache Spark.

### 项目历史

RumbleDB began at ETH Zurich in February 2017 as Stefan Irimescu's master's thesis under Ghislain Fourny and Gustavo Alonso. The project grew into an Apache-licensed engine covering data preparation, validation, format conversion, lakehouse access, and machine-learning workflows through JSONiq.

### 采用历史

The project broadened beyond a standalone Java archive and Spark submission workflow to include Homebrew, Docker, Jupyter integration, online sandboxes, and the jsoniq Python package. Official reports describe tests on clusters of up to 64 machines and datasets exceeding 20 billion objects.

### 使用方式

Users write declarative JSONiq queries against local files or data in HDFS, S3, Azure Blob Storage, and HTTP-accessible sources. RumbleDB can run single-threaded on a laptop, use local Spark parallelism, or execute on a Spark cluster.

### 为什么软件包爱好者会关心

RumbleDB gives package users several entry points into the same query engine: a Homebrew command, a Java/Spark artifact, containers, notebooks, and pip install jsoniq. It is an unusual bridge between XQuery-family language design and modern data-lake packaging.

### 时间线

- 2017: RumbleDB started at ETH Zurich as a master's thesis project.
- 2024: Beta 1.22 was announced.
- 2025: Beta 2.0 was announced.
- 2026: Beta 2.1 was announced.

### Related projects

- JSONiq
- XQuery
- Apache Spark

### 来源

- Official RumbleDB documentation: https://docs.rumbledb.org/
- Official RumbleDB project site and news: https://rumbledb.org/
- Official RumbleDB repository README: https://github.com/RumbleDB/rumble#readme


## 安全说明

没有找到 rumbledb 的匹配本地密钥处理 manifest。软件包元数据仍在此发布，以便未来覆盖拥有稳定的软件包 URL。


## 源数据库详情

- **Source Database:** Homebrew formula API
- **Tap:** homebrew/core
- **Full Name:** rumbledb
- **Version Scheme:** 0
- **Revision:** 0
- **Bottle Stable Root URL:** <https://ghcr.io/v2/homebrew/core>
- **Deprecated:** no
- **Disabled:** no
- **Keg Only:** no
- **URL Keys:** stable


## 相关链接

- [Networking and protocol packages](https://pkg.so/zh-hans/networking-protocol-tools/) - Matched network, protocol, or remote-service metadata.
- [Database and data packages](https://pkg.so/zh-hans/database-data-tools/) - Matched database, SQL, migration, or data-store metadata.
- [openjdk@21](https://pkg.so/zh-hans/brew/openjdk-21/) - Runtime dependency declared by Homebrew.
- [apache-spark](https://pkg.so/zh-hans/brew/apache-spark/) - Runtime dependency declared by Homebrew.
- [pinot](https://pkg.so/zh-hans/brew/pinot/) - Local package facts share a topical domain. Shared terms: apache, openjdk, openjdk-21, query.
- [apache-flink](https://pkg.so/zh-hans/brew/apache-flink/) - Local package facts share a topical domain. Shared terms: apache, openjdk, openjdk-21.

## Combined YAML source

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


## 来源

- pkg.so package database
- package-page enrichment
- curated package history
- package version freshness
- package relationship graph
- cross-ecosystem install command graph
