macOS
Homebrew已验证 · 100%
brew install sqlancerlocal Homebrew formula metadata
安装
其他安装命令
概览
软件包摘要
Detecting Logic Bugs in DBMS
历史
项目历史与用法
SQLancer is an automated DBMS testing tool focused on finding logic and performance bugs in database systems. The official README states that it has found hundreds of bugs in mature and widely known DBMSs.
项目历史
The GitHub repository was created in April 2020, around the publication period of SQLancer's core research techniques. Its documentation ties the implementation to Pivoted Query Synthesis, Non-optimizing Reference Engine Construction, Ternary Logic Partitioning, Query Plan Guidance, CERT, Differential Query Plans, and later CODDTest.
采用历史
SQLancer moved from a research prototype into a packaged CLI distributed through GitHub releases, Maven Central, Docker Hub, and Homebrew. The README recommends using the latest source version but documents these release channels for users who need packaged artifacts.
使用方式
A typical source-build workflow clones the repository, runs Maven, then starts the jar with a DBMS target and oracle, for example SQLite with NoREC. The CLI is long-running by default, emits progress, stores reproduction logs under `target/logs`, and can be stopped manually or bounded with options such as timeout or number of tries.
为什么软件包爱好者会关心
Package nerds care about SQLancer because it is research-grade database fuzzing packaged as a normal Java command-line tool. It lets database maintainers, distro maintainers, and curious operators test real packaged DBMS builds for wrong-result bugs, not just crashes.
时间线
- 2020: GitHub repository created.
- 2020: Papers for PQS, NoREC, and TLP established SQLancer's core logic-bug testing approaches.
- 2021: Initial GitHub release v1.0 published.
- 2021: v1.1.0 release added Docker Hub publishing.
- 2022: v2.0.0 release added OceanBase and document-store component support.
- 2025: README listed broad DBMS support including SQLite, PostgreSQL, MySQL, MariaDB, TiDB, DuckDB, ClickHouse, CockroachDB, and others.
Related projects
- The README lists related tools and reimplementations including go-sqlancer, Jepsen, SQLRight, SQLsmith, and Squirrel. It also documents Maven, Docker Hub, and Maven Central distribution surfaces.
来源
安全态势
风险级别：blue
broad file, network, media, or database tool signal.
风险分类器
blue 风险 · 中 置信度 · tool
原因
- broad file, network, media, or database tool signal
信号
- text:sql
安装行为
- formula 元数据中未记录 Homebrew post-install 钩子。
- Homebrew bottle 元数据适用于 13 个平台目标。
- 安装时包含 1 个运行时依赖。
- 构建元数据列出 1 个构建依赖。
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 |
|---|---|---|---|
sqlancer | cli | 全局可执行文件 |
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2026-07-25
管理器版本2.0.0
管理器更新时间
本地数据OK
上游当前
检测到的最新版本v2.0.0
https://github.com/sqlancer/sqlancer
- 信息No package-manager update timestamp was available.低 置信度
安装元数据
软件包元数据
| 软件包键 | brew:sqlancer |
|---|---|
| 版本 | 2.0.0 |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/sqlancer |
| 主页 | https://github.com/sqlancer/sqlancer |
| 仓库 | https://github.com/sqlancer/sqlancer |
| 上游文档 | https://github.com/sqlancer/sqlancer#readme |
| 许可证 | MIT |
| 源码归档 | https://github.com/sqlancer/sqlancer/archive/refs/tags/v2.0.0.tar.gz |
| 依赖 | openjdk |
| 构建依赖 | maven |
| Bottle | 可用 (于 arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, catalina, monterey, sonoma, ventura, x86_64_linux) |
| Homebrew post-install | 未定义 |
| 服务 | 未声明 |
注册表事实
源数据库详情
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | sqlancer |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
来源线索
由仓库数据生成
此页面由 av-web 从 scripts/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.
使用的来源
- Geiger risk classifier
- Nucleus package database
- av.db category and tag curation
- cross-ecosystem install command graph
- curated package history
- package relationship graph
- package version freshness
- package-page enrichment