登录 注册
其他
34,206
Stars
0
Forks
0
Watchers
0
Open Issues
未知
许可证
Java
语言
创建时间
最近更新

项目能做什么

Apache Kafka 分布式事件流处理平台。
来源:基于仓库元数据 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
<p align="center">
<picture>
  <source media="(prefers-color-scheme: light)" srcset="docs/images/kafka-logo-readme-light.svg">
  <source media="(prefers-color-scheme: dark)" srcset="docs/images/kafka-logo-readme-dark.svg">
  <img src="docs/images/kafka-logo-readme-light.svg" alt="Kafka Logo" width="50%"> 
</picture>
</p>

[![CI](https://github.com/apache/kafka/actions/workflows/ci.yml/badge.svg?branch=trunk&event=push)](https://github.com/apache/kafka/actions/workflows/ci.yml?query=event%3Apush+branch%3Atrunk)
[![Flaky Test Report](https://github.com/apache/kafka/actions/workflows/generate-reports.yml/badge.svg?branch=trunk&event=schedule)](https://github.com/apache/kafka/actions/workflows/generate-reports.yml?query=event%3Aschedule+branch%3Atrunk)

[**Apache Kafka**](https://kafka.apache.org) is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

You need to have [Java](http://www.oracle.com/technetwork/java/javase/downloads/index.html) installed.

We build and test Apache Kafka with Java versions 17 and 25. The `release` parameter in javac is set to `11` for the clients 
and streams modules, and `17` for the rest, ensuring compatibility with their respective
minimum Java versions. Similarly, the `release` parameter in scalac is set to `11` for the streams modules and `17`
for the rest.

Scala 2.13 is the only supported version in Apache Kafka.

### Build a JAR and run it
```bash
./gradlew jar
```

Follow instructions in https://kafka.apache.org/quickstart

### Build source JAR
```bash
./gradlew srcJar
```

### Build aggregated javadoc
```bash
./gradlew aggregatedJavadoc --no-parallel
```

### Build javadoc and scaladoc
```bash
./gradlew javadoc
./gradlew javadocJar # builds a javadoc jar for each module
./gradlew scaladoc
./gradlew scaladocJar # builds a scaladoc jar for each module
./gradlew docsJar # builds both (if applicable) javadoc and scaladoc jars for each module
```

### Run unit/integration tests
```bash
./gradlew test  # runs both unit and integration tests
./gradlew unitTest
./gradlew integrationTest
./gradlew test -Pkafka.test.run.flaky=true  # runs tests that are marked as flaky
```

### Force re-running tests without code change
```bash
./gradlew test --rerun-tasks
./gradlew unitTest --rerun-tasks
./gradlew integrationTest --rerun-tasks
```

### Running a particular unit/integration test
```bash
./gradlew clients:test --tests RequestResponseTest
./gradlew streams:integration-tests:test --tests RestoreIntegrationTest
```

### Running a particular unit/integration test N times
```bash
N=500; I=0; while [ $I -lt $N ] && ./gradlew clients:test --tests RequestResponseTest --rerun --fail-fast; do (( I=$I+1 )); echo "Completed run: $I"; sleep 1; done
```

### Running a particular test method within a unit/integration test
```bash
./gradlew clients:test --tests org.apache.kafka.clients.MetadataTes
阅读完整原文

商业机会分析 规则生成(AI 未配置)

综合评分 42.9 分。该项目在“个人可实施性”维度得 37 分,“付费可能性”维度得 20.0 分,差异化空间 70.0 分(评分依据见评分卡)。

面向细分需求的二次开发产品

产品构想基于 kafka 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心

竞品与相似项目 GitHub Search 真实检索

项目中文简介Stars语言
pathwaycom/pathway 中文介绍暂未生成
Python ETL framework for stream processing, real-time analyt
62,004 Python
DataTalksClub/data-engineering-zoomcamp 中文介绍暂未生成
Data Engineering Zoomcamp is a free 9-week course on buildin
46,793 Jupyter Notebook
yudaocode/SpringBoot-Labs 中文介绍暂未生成
一个涵盖六个专栏:Spring Boot 2.X、Spring Cloud、Spring Cloud Alibaba、D
20,116 Java
influxdata/telegraf 中文介绍暂未生成
Agent for collecting, processing, aggregating, and writing m
17,901 Go
heibaiying/BigData-Notes 中文介绍暂未生成
大数据入门指南 :star:
17,005 Java
zhisheng17/flink-learning 中文介绍暂未生成
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink
15,105 Java
以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。

项目优势与风险

技术成熟度创建于 ,最近推送
社区活跃Star 34,206 / Fork 0 / Issue 0(数据支持,可自行核实)
许可证未检测到(需人工确认)
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

快速开始(以仓库 README 为准)
git clone https://github.com/apache/kafka.git
cd kafka
# 请阅读仓库 README 获取确切安装步骤(依赖、配置、启动命令)
阅读原仓库文档
术语说明:Docker=应用容器(把程序和依赖打包运行);API Key=调用外部服务的密钥;Git Clone=把仓库代码下载到本地。常见错误:API Key 未配置 / 端口占用 / 数据库连接失败,多数项目在 README 的 Troubleshooting 章节有说明。