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brew / 排名 4198

使用 Homebrew, Nix 安装 h2

查看 h2 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

其他安装命令

macOS

Homebrew已验证 · 100%
brew install h2

local Homebrew formula metadata

Linux

Nix已验证 · 92%
nix profile install nixpkgs#h2

nixpkgs package indexes · pkgs/by-name/h2/h2/package.nix · 来源: api.github.com

概览

软件包摘要

Java SQL database

命令和别名

  • h2

历史

项目历史与用法

H2 is a Java SQL database engine designed for embedded and server use through standard SQL and JDBC. Its package history matters because it became one of the default lightweight relational databases for Java development, tests, demos, local tools, and applications that need an embeddable database without running a separate server.

项目历史

The official H2 history says development started in May 2004 and the database was first published on December 14, 2005. The original author, Thomas Mueller, was also the original developer of Hypersonic SQL; after he joined PointBase and discontinued Hypersonic SQL work, the HSQLDB Group continued that codebase. H2 means Hypersonic 2, but the official history emphasizes that H2 does not share code with Hypersonic SQL or HSQLDB and was built from scratch.

The project chose Java for portability, simpler integration with Java applications, Unicode support, security advantages over native code, and faster development of algorithms rather than platform-specific memory-management work. The H2 feature documentation presents the result as a fast open source database engine with JDBC API support, embedded and server modes, disk or in-memory databases, transaction support, multi-version concurrency, a browser console, encryption, full-text search, and a small jar footprint.

H2's repository and documentation structure reflect its dual role as library and tool. The README points Java users to Maven coordinates, tutorial pages, SQL command documentation, functions, data types, issue tracking, mailing-list/forum support, and Stack Overflow usage for framework integration questions.

采用历史

H2 adoption came from Java developers who needed a relational database that could run inside the same JVM for tests, demos, desktop apps, command-line tools, and server applications. The official features page highlights embedded mode as the fastest and easiest connection mode, while also documenting server and mixed modes for multiple clients.

The README and GitHub repository show a broad open-source footprint: thousands of stars, many forks, thousands of commits, Maven dependency instructions, and documentation aimed at both SQL users and Java integrators. The supplied package facts list Homebrew and Nix packages, while the more important adoption path for Java is the Maven coordinate `com.h2database:h2` shown by the project README.

使用方式

Common H2 usage includes embedding the database in Java applications through JDBC, running in-memory databases for tests, using file-backed local databases, starting server mode for remote JDBC or ODBC-over-TCP/IP connections, using the browser-based Console, and applying compatibility modes for databases such as DB2, Derby, HSQLDB, MS SQL Server, MySQL, Oracle, and PostgreSQL.

H2 also ships command-line and operational tooling around the database engine. Package managers expose an `h2` executable in addition to the Java jar ecosystem, which is useful for local console workflows, demos, and scripted development setups.

为什么软件包爱好者会关心

H2 is a package-nerd staple because it collapses a database dependency into a small Java artifact. That makes test suites, examples, development servers, and teaching environments easier to package: no daemon, no external service, no local database bootstrap, and in-memory mode when persistence is unnecessary.

It also has a long tail of compatibility and security implications. Frameworks often include H2 for tests, so packagers and maintainers care about version behavior, SQL compatibility modes, file format changes, console exposure, and transitive dependency updates even when H2 is not the production database.

时间线

  • 2004: H2 development started in May.
  • 2005: H2 was first published on December 14.
  • 2000s: H2 established itself as a from-scratch successor in spirit to Hypersonic SQL, separate from HSQLDB code.
  • 2010s: H2 became common in Java tests, embedded applications, examples, and framework development setups.
  • 2020s: The project documented a small Java footprint, embedded/server/mixed modes, compatibility modes, Maven usage, and package-manager availability.

Related projects

  • H2 is historically related to Hypersonic SQL and HSQLDB through Thomas Mueller's earlier work and the name Hypersonic 2, but the H2 codebase is separate. It is also commonly compared with Apache Derby, SQLite, HyperSQL, embedded PostgreSQL test setups, and Java frameworks that use JDBC databases in development or tests.

安全态势

风险级别:orange

broad file, network, media, or database tool signal. formula declares a Homebrew service.

风险分类器

orange 风险 · 中 置信度 · infrastructure

原因

  • broad file, network, media, or database tool signal
  • formula declares a Homebrew service

信号

  • metadata:service
  • text:database,sql

安装行为

  • 未记录 Homebrew bottle 元数据。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
h2可执行文件已索引可执行文件从本地可执行文件索引发现。

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-08-03
管理器版本2.4.240
管理器更新时间
本地数据未知
上游不可用
检测到的最新版本未检测到
  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:h2
版本2.4.240
软件包管理器Homebrew
主页https://www.h2database.com/
仓库https://github.com/h2database/h2database
Bottle未记录
服务未声明

源数据库匹配

其他软件包管理器记录

匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。

Nix95%

h2

nix profile install nixpkgs#h2
  • normalized package name match
  • 匹配方式:H2
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/h2/h2/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

Combined YAML source

View the package source record on GitHub.

combined/h2.yml

使用的来源

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