# 使用 Homebrew 安装 gravitino 查看 gravitino 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:gravitino ``` 其他安装命令: ### macOS - Homebrew (100%): ```sh brew install gravitino ``` 证据: local Homebrew formula metadata ## 软件包事实 - **软件包键:** brew:gravitino - **软件包管理器:** Homebrew - **版本:** 1.3.0 - **来源摘要:** High-performance, geo-distributed, and federated metadata lake - **主页:** - **仓库:** - **最后更新:** 2026-06-28T12:53:46Z - **已生成:** 2026-08-03T19:37:03+00:00 ## 可执行文件 - gravitino-iceberg-rest-server.sh (别名) - gravitino.sh (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: 1.3.0 ## 项目历史与用法 Apache Gravitino is a metadata lake project for managing metadata across data warehouses, data lakes, lakehouses, streaming systems, and AI assets. Its package-manager identity is unusual for Homebrew: the formula installs server-style scripts and configuration rather than a small single-purpose CLI. ### 项目历史 Gravitino was created to address metadata fragmentation across heterogeneous data and AI systems. The Apache project blog describes it as a unified metadata layer, or metalake, spanning systems such as Apache Iceberg, Apache Hive, Apache Kafka, MySQL, PostgreSQL, HDFS, S3, and model metadata. The project entered the Apache Incubator in June 2024 and published its first ASF release, 0.6.0-incubating, on September 9, 2024. That release emphasized enterprise catalog concerns such as RBAC, Iceberg REST catalog modularization, tagging, and connector work. Apache announced Gravitino as a Top-Level Project on June 3, 2025, citing a growing community and production adoption. The 1.0.0 release on September 24, 2025 framed the project as moving from metadata management toward metadata-driven action systems, including statistics, policies, jobs, MCP integration, lineage, and governance. ### 采用历史 The official graduation announcement names production or deployment interest from companies including Pinterest and Uber, and describes adoption by organizations with serious data challenges. That adoption path is tied to open table formats, multi-cloud metadata, and the need to govern assets across engines. Gravitino's Homebrew packaging makes it easy for data platform engineers to start a local server, test the Iceberg REST server scripts, or evaluate metadata APIs without first building the Java project from source. ### 使用方式 The package exposes gravitino.sh and gravitino-iceberg-rest-server.sh, reflecting two common local workflows: run the Gravitino server or run the Iceberg REST catalog service. Official installation documentation points users at conf/gravitino.conf for server settings and conf/gravitino-env.sh for environment settings. Operationally, Gravitino is not just a command. It is a service surface with catalogs, schemas, tables, filesets, topics, models, connectors, authorization, and REST APIs that data platform teams integrate with query engines and governance systems. ### 为什么软件包爱好者会关心 For package nerds, Gravitino is a reminder that Homebrew can carry data platform services, not just desktop tools and Unix utilities. The formula's value is in reproducible local evaluation of a JVM server and related scripts. Its Apache lifecycle also matters: incubating release names, Top-Level Project graduation, Java runtime requirements, and generated distribution layouts all affect how downstream package managers name, test, and upgrade the package. ### 时间线 - 2024-06: Gravitino enters the Apache Incubator. - 2024-07: The Apache blog introduces Gravitino as an open-source data and AI multi-cloud solution. - 2024-09: Apache Gravitino 0.6.0-incubating is announced as the first ASF release. - 2025-05: Apache Gravitino 0.9.0 focuses on AI, data governance, and security features. - 2025-06: Apache announces Gravitino as a Top-Level Project. - 2025-09: Apache Gravitino 1.0.0 is announced with metadata-driven action systems and MCP server work. ### Related projects - Apache Iceberg: Gravitino provides and packages Iceberg REST catalog server functionality. - Apache Hive, Kafka, Spark, Flink, Hudi, Paimon, Ranger, MySQL, and PostgreSQL appear in official Gravitino materials as systems it integrates with or governs. - Datastrato is part of the project's origin story and ecosystem around the metadata lake idea. ### 来源 - - - - - - - ## 安全说明 formula declares a Homebrew service. - **Geiger 风险:** orange / 中 - formula declares a Homebrew service ## Configuration and credential file locations These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval. ## Configuration files - Unix: conf/gravitino.conf, conf/gravitino-env.sh ## Combined YAML source View the package source record on GitHub. [combined/gravitino.yml](https://github.com/mxcl/pkgdb/blob/main/combined/gravitino.yml) ## 来源 - pkg.so package database - Geiger risk classifier - curated configuration and credential file locations - curated package history - pkgdb category and tag curation - cross-ecosystem install command graph