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  • GitHub 趋势日报 (2025年05月29日)

    📈 今日获星趋势图 🌈 语言分布图 🏆 今日热门项目 Top 6 📋 完整排行榜 🎯 分语言热门项目 ● C++" level="3">● C++ ● TypeScript" level="3">● TypeScript ● Swift" level="3">● Swift ● Rust" level="3">● Rust ● C" ...
  • Storage

    7400 2024-07-01 《Apache Hudi 0.15.0》
    Does Hudi support cloud storage/object stores? What is the difference between copy-on-write (COW) vs merge-on-read (MOR) table types? How do I migrate my data to Hudi? How to co...
  • Architecture

    Kyuubi Architecture Introduction Architecture Overview Unified Interface Runtime Resource Resiliency High Availability & Load Balance Authentication & Authorization Conclusio...
  • Project Configuration

    Why do I need to configure Terms Configuration file Deployment option property Basic parameters Memory parameters Configure Total Memory Checkpoint Watermark State backen...
  • Apache HBase Connector

    Dependency of Apache HBase writing Regular way to write and read Apache HBase 1.Create database and table 2.Write demo and Read demo write and read Apache HBase with Apache Str...
  • Programming Paradigm

    Architecture Programming paradigm DataStream Flink Sql TableEnvironment StreamTableEnvironment RunTime Context StreamingContext TableContext StreamTableContext Life Cycle...
  • 快速上手

    配置FLINK_HOME 配置Flink Cluster 服务器启动 flink Standalone Session 配置Flink Cluster 创建作业 主要参数 创建作业 保存作业 构建作业 启动作业 启动检查点设置 提交作业 查看作业状态 通过Apache StreamPark™看板查看 查看原生 flink web u...
  • 1. Terminologies

    7181 2024-07-05 《Apache Kyuubi 1.9.1》
    Kyuubi JDBC Apache Hive Apache Thrift Server ServerSpace Engine EngineSpace Apache Spark Multi Tenancy High Availability / Load Balance Apache Zookeeper Apache Curator ...
  • 任务结构

    任务总体存储结构 各任务类型存储结构详解 Shell节点 SQL节点 PROCEDURE[存储过程]节点 SPARK节点 MapReduce(MR)节点 Python节点 Flink节点 HTTP节点 DataX节点 Sqoop节点 条件分支节点 子流程节点 依赖(DEPENDENT)节点 任务总体存储结构 在dolphin...
  • Docker Demo

    7141 2024-06-28 《Apache Hudi 0.15.0》
    A Demo using Docker containers Prerequisites Setting up Docker Cluster Build Hudi Bringing up Demo Cluster Demo Step 1 : Publish the first batch to Kafka Step 2: Incrementall...