# apache-flink-cdc を Homebrew でインストール apache-flink-cdc のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。 ## インストール ```sh sudo av install brew:apache-flink-cdc ``` 追加のインストールコマンド: ### macOS - Homebrew (100%): ```sh brew install apache-flink-cdc ``` 証拠: local Homebrew formula metadata ## パッケージ情報 - **パッケージキー:** brew:apache-flink-cdc - **パッケージマネージャ:** Homebrew - **バージョン:** 3.6.0 - **ソース概要:** Flink CDC is a streaming data integration tool - **ホームページ:** - **リポジトリ:** - **生成日時:** 2026-08-03T19:37:03+00:00 ## 実行可能ファイル - flink-cdc (エイリアス) ## インストール挙動 - Bottle: 利用不可 ## バージョンと鮮度 - ページ生成日: 2026-08-03 - マネージャ版: 3.6.0 ## プロジェクトの歴史と使われ方 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. ### プロジェクトの歴史 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. ### 採用の歴史 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. ### 使われ方 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. ### パッケージ好きにとっての重要性 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. ### タイムライン - 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. ### ソース - - - - ## セキュリティノート broad file, network, media, or database tool signal. - **Geiger リスク:** 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) ## ソース - pkg.so package database - Geiger risk classifier - curated package history - pkgdb category and tag curation - cross-ecosystem install command graph