# 使用 Homebrew 安装 apache-flink-cdc 查看 apache-flink-cdc 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:apache-flink-cdc ``` 其他安装命令: ### macOS - Homebrew (100%): ```sh brew install apache-flink-cdc ``` 证据: local Homebrew formula metadata ## 软件包事实 - **软件包键:** brew:apache-flink-cdc - **软件包管理器:** Homebrew - **版本:** 3.6.0 - **来源摘要:** Flink CDC is a streaming data integration tool - **主页:** - **仓库:** - **已生成:** 2026-08-03T19:37:03+00:00 ## 可执行文件 - flink-cdc (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: 3.6.0 ## 项目历史与用法 Apache Flink CDC is a distributed data integration tool built on Apache Flink for change data capture, full database synchronization, schema evolution, and YAML-defined real-time or batch data movement. ### 项目历史 Flink CDC began as a connector-oriented ecosystem around Apache Flink change-data-capture jobs, then was donated into the Apache Flink project by Ververica. Apache board records from 2024 describe the Flink community accepting the codebase because CDC use cases with Flink SQL were popular among users. After the donation, Flink CDC became a Flink subproject with its own Apache repository, documentation tree, and releases. The first Apache release called out in ASF board records was cdc-3.1.0 on 2024-05-17. ### 采用历史 Flink CDC's adoption follows Flink's broader move from generic stream processing into operational data integration. Its docs emphasize initial historical scans, automatic handoff to change capture, schema evolution, full database sync, and exactly-once processing, which are the operational details that make CDC pipelines production-worthy. The project is younger than Flink itself, so its history is thinner, but its packaging matters because it gives a standalone flink-cdc command for users who want pipeline-style database replication without writing a full Flink application. ### 使用方式 The Homebrew formula exposes the flink-cdc executable. Apache's docs present Flink CDC as a YAML-driven tool: users describe sources, sinks, routing, transformations, and schema evolution rules, then submit pipelines rather than hand-coding the whole job. Common usage is database-to-database, database-to-lake, or database-to-stream synchronization where a pipeline first scans historical tables and then keeps reading log changes. The official docs also call out sub-second streaming pipelines and exactly-once processing after failures. ### 为什么软件包爱好者会关心 For package maintainers, Flink CDC is a small command-line front door to a much larger Java streaming stack. The interesting bit is not the binary size, but that it packages a practical CDC workflow separately from the main flink CLI. It also captures a current packaging pattern in the Flink ecosystem: important connectors and adjacent tools live as externalized Apache repositories with their own release cadence, docs, and compatibility constraints. ### 时间线 - 2024: Ververica's Flink CDC codebase is accepted into Apache Flink. - 2024: cdc-3.1.0 is released as the first Apache Flink CDC release noted in ASF board records. - 2026: Flink downloads list Apache Flink CDC as a separately released Flink component. ### Related projects - Apache Flink is the execution engine and community umbrella for Flink CDC. - Debezium, Kafka, Apache Paimon, JDBC databases, MySQL, PostgreSQL, and data lake sinks are common adjacent technologies in CDC pipelines. ### 来源 - - - - ## 安全说明 broad file, network, media, or database tool signal. - **Geiger 风险:** blue / 中 - broad file, network, media, or database tool signal ## Combined YAML source View the package source record on GitHub. [combined/apache-flink-cdc.yml](https://github.com/mxcl/pkgdb/blob/main/combined/apache-flink-cdc.yml) ## 来源 - pkg.so package database - Geiger risk classifier - curated package history - pkgdb category and tag curation - cross-ecosystem install command graph