桂林北站附近的景点,外企外贸是做什么的,印象网站建设,如何在线上推广产品Apache Spark 简介脑图
本文档包含Apache Spark的总结图和知识概念图#xff0c;使用Mermaid图表展示#xff0c;方便快速复习和理解。
1. Apache Spark 总体架构图 #mermaid-svg-lom3afVDFuy2yJ7U {font-family:trebuchet ms,verdana,arial,sans-serif;font-s…Apache Spark 简介脑图
本文档包含Apache Spark的总结图和知识概念图使用Mermaid图表展示方便快速复习和理解。
1. Apache Spark 总体架构图 #mermaid-svg-lom3afVDFuy2yJ7U {font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;fill:#333;}#mermaid-svg-lom3afVDFuy2yJ7U .error-icon{fill:#552222;}#mermaid-svg-lom3afVDFuy2yJ7U .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-lom3afVDFuy2yJ7U .edge-thickness-normal{stroke-width:2px;}#mermaid-svg-lom3afVDFuy2yJ7U .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-lom3afVDFuy2yJ7U .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-lom3afVDFuy2yJ7U .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-lom3afVDFuy2yJ7U .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-lom3afVDFuy2yJ7U .marker{fill:#333333;stroke:#333333;}#mermaid-svg-lom3afVDFuy2yJ7U .marker.cross{stroke:#333333;}#mermaid-svg-lom3afVDFuy2yJ7U svg{font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-lom3afVDFuy2yJ7U .label{font-family:"trebuchet ms",verdana,arial,sans-serif;color:#333;}#mermaid-svg-lom3afVDFuy2yJ7U .cluster-label text{fill:#333;}#mermaid-svg-lom3afVDFuy2yJ7U .cluster-label span{color:#333;}#mermaid-svg-lom3afVDFuy2yJ7U .label text,#mermaid-svg-lom3afVDFuy2yJ7U span{fill:#333;color:#333;}#mermaid-svg-lom3afVDFuy2yJ7U .node rect,#mermaid-svg-lom3afVDFuy2yJ7U .node circle,#mermaid-svg-lom3afVDFuy2yJ7U .node ellipse,#mermaid-svg-lom3afVDFuy2yJ7U .node polygon,#mermaid-svg-lom3afVDFuy2yJ7U .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-lom3afVDFuy2yJ7U .node .label{text-align:center;}#mermaid-svg-lom3afVDFuy2yJ7U .node.clickable{cursor:pointer;}#mermaid-svg-lom3afVDFuy2yJ7U .arrowheadPath{fill:#333333;}#mermaid-svg-lom3afVDFuy2yJ7U .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-lom3afVDFuy2yJ7U .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-lom3afVDFuy2yJ7U .edgeLabel{background-color:#e8e8e8;text-align:center;}#mermaid-svg-lom3afVDFuy2yJ7U .edgeLabel rect{opacity:0.5;background-color:#e8e8e8;fill:#e8e8e8;}#mermaid-svg-lom3afVDFuy2yJ7U .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-lom3afVDFuy2yJ7U .cluster text{fill:#333;}#mermaid-svg-lom3afVDFuy2yJ7U .cluster span{color:#333;}#mermaid-svg-lom3afVDFuy2yJ7U div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-lom3afVDFuy2yJ7U :root{--mermaid-font-family:"trebuchet ms",verdana,arial,sans-serif;} Apache Spark 分布式计算框架 用于大规模数据处理的分布式计算引擎 核心特性 速度快 易用性 通用性 兼容性 内存计算 比Hadoop MapReduce快100倍 支持多种编程语言 Java Scala Python R 统一的数据处理平台 批处理 流处理 机器学习 图计算 运行环境 Standalone YARN Kubernetes Mesos 2. Spark 核心组件架构图 #mermaid-svg-vpdwJGjYS24sDqmp {font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;fill:#333;}#mermaid-svg-vpdwJGjYS24sDqmp .error-icon{fill:#552222;}#mermaid-svg-vpdwJGjYS24sDqmp .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-vpdwJGjYS24sDqmp .edge-thickness-normal{stroke-width:2px;}#mermaid-svg-vpdwJGjYS24sDqmp .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-vpdwJGjYS24sDqmp .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-vpdwJGjYS24sDqmp .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-vpdwJGjYS24sDqmp .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-vpdwJGjYS24sDqmp .marker{fill:#333333;stroke:#333333;}#mermaid-svg-vpdwJGjYS24sDqmp .marker.cross{stroke:#333333;}#mermaid-svg-vpdwJGjYS24sDqmp svg{font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-vpdwJGjYS24sDqmp .label{font-family:"trebuchet ms",verdana,arial,sans-serif;color:#333;}#mermaid-svg-vpdwJGjYS24sDqmp .cluster-label text{fill:#333;}#mermaid-svg-vpdwJGjYS24sDqmp .cluster-label span{color:#333;}#mermaid-svg-vpdwJGjYS24sDqmp .label text,#mermaid-svg-vpdwJGjYS24sDqmp span{fill:#333;color:#333;}#mermaid-svg-vpdwJGjYS24sDqmp .node rect,#mermaid-svg-vpdwJGjYS24sDqmp .node circle,#mermaid-svg-vpdwJGjYS24sDqmp .node ellipse,#mermaid-svg-vpdwJGjYS24sDqmp .node polygon,#mermaid-svg-vpdwJGjYS24sDqmp .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-vpdwJGjYS24sDqmp .node .label{text-align:center;}#mermaid-svg-vpdwJGjYS24sDqmp .node.clickable{cursor:pointer;}#mermaid-svg-vpdwJGjYS24sDqmp .arrowheadPath{fill:#333333;}#mermaid-svg-vpdwJGjYS24sDqmp .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-vpdwJGjYS24sDqmp .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-vpdwJGjYS24sDqmp .edgeLabel{background-color:#e8e8e8;text-align:center;}#mermaid-svg-vpdwJGjYS24sDqmp .edgeLabel rect{opacity:0.5;background-color:#e8e8e8;fill:#e8e8e8;}#mermaid-svg-vpdwJGjYS24sDqmp .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-vpdwJGjYS24sDqmp .cluster text{fill:#333;}#mermaid-svg-vpdwJGjYS24sDqmp .cluster span{color:#333;}#mermaid-svg-vpdwJGjYS24sDqmp div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-vpdwJGjYS24sDqmp :root{--mermaid-font-family:"trebuchet ms",verdana,arial,sans-serif;} Spark Core RDD弹性分布式数据集 任务调度 内存管理 容错机制 Spark生态系统 Spark SQL Spark Streaming MLlib机器学习 GraphX图计算 DataFrame Dataset SQL查询 DStream 实时数据处理 微批处理 分类算法 回归算法 聚类算法 协同过滤 图算法 PageRank 连通组件 3. Spark 工作流程图 #mermaid-svg-QO65SHaE4mCkkNjw {font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;fill:#333;}#mermaid-svg-QO65SHaE4mCkkNjw .error-icon{fill:#552222;}#mermaid-svg-QO65SHaE4mCkkNjw .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-QO65SHaE4mCkkNjw .edge-thickness-normal{stroke-width:2px;}#mermaid-svg-QO65SHaE4mCkkNjw .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-QO65SHaE4mCkkNjw .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-QO65SHaE4mCkkNjw .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-QO65SHaE4mCkkNjw .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-QO65SHaE4mCkkNjw .marker{fill:#333333;stroke:#333333;}#mermaid-svg-QO65SHaE4mCkkNjw .marker.cross{stroke:#333333;}#mermaid-svg-QO65SHaE4mCkkNjw svg{font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-QO65SHaE4mCkkNjw .actor{stroke:hsl(259.6261682243, 59.7765363128%, 87.9019607843%);fill:#ECECFF;}#mermaid-svg-QO65SHaE4mCkkNjw text.actortspan{fill:black;stroke:none;}#mermaid-svg-QO65SHaE4mCkkNjw .actor-line{stroke:grey;}#mermaid-svg-QO65SHaE4mCkkNjw .messageLine0{stroke-width:1.5;stroke-dasharray:none;stroke:#333;}#mermaid-svg-QO65SHaE4mCkkNjw .messageLine1{stroke-width:1.5;stroke-dasharray:2,2;stroke:#333;}#mermaid-svg-QO65SHaE4mCkkNjw #arrowhead path{fill:#333;stroke:#333;}#mermaid-svg-QO65SHaE4mCkkNjw .sequenceNumber{fill:white;}#mermaid-svg-QO65SHaE4mCkkNjw #sequencenumber{fill:#333;}#mermaid-svg-QO65SHaE4mCkkNjw #crosshead path{fill:#333;stroke:#333;}#mermaid-svg-QO65SHaE4mCkkNjw .messageText{fill:#333;stroke:#333;}#mermaid-svg-QO65SHaE4mCkkNjw .labelBox{stroke:hsl(259.6261682243, 59.7765363128%, 87.9019607843%);fill:#ECECFF;}#mermaid-svg-QO65SHaE4mCkkNjw .labelText,#mermaid-svg-QO65SHaE4mCkkNjw .labelTexttspan{fill:black;stroke:none;}#mermaid-svg-QO65SHaE4mCkkNjw .loopText,#mermaid-svg-QO65SHaE4mCkkNjw .loopTexttspan{fill:black;stroke:none;}#mermaid-svg-QO65SHaE4mCkkNjw .loopLine{stroke-width:2px;stroke-dasharray:2,2;stroke:hsl(259.6261682243, 59.7765363128%, 87.9019607843%);fill:hsl(259.6261682243, 59.7765363128%, 87.9019607843%);}#mermaid-svg-QO65SHaE4mCkkNjw .note{stroke:#aaaa33;fill:#fff5ad;}#mermaid-svg-QO65SHaE4mCkkNjw .noteText,#mermaid-svg-QO65SHaE4mCkkNjw .noteTexttspan{fill:black;stroke:none;}#mermaid-svg-QO65SHaE4mCkkNjw .activation0{fill:#f4f4f4;stroke:#666;}#mermaid-svg-QO65SHaE4mCkkNjw .activation1{fill:#f4f4f4;stroke:#666;}#mermaid-svg-QO65SHaE4mCkkNjw .activation2{fill:#f4f4f4;stroke:#666;}#mermaid-svg-QO65SHaE4mCkkNjw .actorPopupMenu{position:absolute;}#mermaid-svg-QO65SHaE4mCkkNjw .actorPopupMenuPanel{position:absolute;fill:#ECECFF;box-shadow:0px 8px 16px 0px rgba(0,0,0,0.2);filter:drop-shadow(3px 5px 2px rgb(0 0 0 / 0.4));}#mermaid-svg-QO65SHaE4mCkkNjw .actor-man line{stroke:hsl(259.6261682243, 59.7765363128%, 87.9019607843%);fill:#ECECFF;}#mermaid-svg-QO65SHaE4mCkkNjw .actor-man circle,#mermaid-svg-QO65SHaE4mCkkNjw line{stroke:hsl(259.6261682243, 59.7765363128%, 87.9019607843%);fill:#ECECFF;stroke-width:2px;}#mermaid-svg-QO65SHaE4mCkkNjw :root{--mermaid-font-family:"trebuchet ms",verdana,arial,sans-serif;} Driver Program Cluster Manager Executor 1 Executor 2 Executor N 1. 申请资源 2. 启动Executor 2. 启动Executor 2. 启动Executor 3. 构建DAG 4. 划分Stage 5. 生成Task 6. 分发Task 6. 分发Task 6. 分发Task 7. 返回结果 7. 返回结果 7. 返回结果 8. 汇总结果 Driver Program Cluster Manager Executor 1 Executor 2 Executor N 4. RDD 操作分类图 #mermaid-svg-sEzduyrkPsKahSGl {font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;fill:#333;}#mermaid-svg-sEzduyrkPsKahSGl .error-icon{fill:#552222;}#mermaid-svg-sEzduyrkPsKahSGl .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-sEzduyrkPsKahSGl .edge-thickness-normal{stroke-width:2px;}#mermaid-svg-sEzduyrkPsKahSGl .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-sEzduyrkPsKahSGl .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-sEzduyrkPsKahSGl .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-sEzduyrkPsKahSGl .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-sEzduyrkPsKahSGl .marker{fill:#333333;stroke:#333333;}#mermaid-svg-sEzduyrkPsKahSGl .marker.cross{stroke:#333333;}#mermaid-svg-sEzduyrkPsKahSGl svg{font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-sEzduyrkPsKahSGl .label{font-family:"trebuchet ms",verdana,arial,sans-serif;color:#333;}#mermaid-svg-sEzduyrkPsKahSGl .cluster-label text{fill:#333;}#mermaid-svg-sEzduyrkPsKahSGl .cluster-label span{color:#333;}#mermaid-svg-sEzduyrkPsKahSGl .label text,#mermaid-svg-sEzduyrkPsKahSGl span{fill:#333;color:#333;}#mermaid-svg-sEzduyrkPsKahSGl .node rect,#mermaid-svg-sEzduyrkPsKahSGl .node circle,#mermaid-svg-sEzduyrkPsKahSGl .node ellipse,#mermaid-svg-sEzduyrkPsKahSGl .node polygon,#mermaid-svg-sEzduyrkPsKahSGl .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-sEzduyrkPsKahSGl .node .label{text-align:center;}#mermaid-svg-sEzduyrkPsKahSGl .node.clickable{cursor:pointer;}#mermaid-svg-sEzduyrkPsKahSGl .arrowheadPath{fill:#333333;}#mermaid-svg-sEzduyrkPsKahSGl .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-sEzduyrkPsKahSGl .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-sEzduyrkPsKahSGl .edgeLabel{background-color:#e8e8e8;text-align:center;}#mermaid-svg-sEzduyrkPsKahSGl .edgeLabel rect{opacity:0.5;background-color:#e8e8e8;fill:#e8e8e8;}#mermaid-svg-sEzduyrkPsKahSGl .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-sEzduyrkPsKahSGl .cluster text{fill:#333;}#mermaid-svg-sEzduyrkPsKahSGl .cluster span{color:#333;}#mermaid-svg-sEzduyrkPsKahSGl div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-sEzduyrkPsKahSGl :root{--mermaid-font-family:"trebuchet ms",verdana,arial,sans-serif;} RDD操作 转换操作 Transformations 行动操作 Actions 惰性计算 返回新RDD 常用操作 map filter flatMap reduceByKey groupByKey join 立即执行 返回结果 常用操作 collect count reduce saveAsTextFile foreach take 6. Spark 数据抽象层次图 #mermaid-svg-ZiMdrsifYwKpfQbV {font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;fill:#333;}#mermaid-svg-ZiMdrsifYwKpfQbV .error-icon{fill:#552222;}#mermaid-svg-ZiMdrsifYwKpfQbV .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-ZiMdrsifYwKpfQbV .edge-thickness-normal{stroke-width:2px;}#mermaid-svg-ZiMdrsifYwKpfQbV .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-ZiMdrsifYwKpfQbV .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-ZiMdrsifYwKpfQbV .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-ZiMdrsifYwKpfQbV .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-ZiMdrsifYwKpfQbV .marker{fill:#333333;stroke:#333333;}#mermaid-svg-ZiMdrsifYwKpfQbV .marker.cross{stroke:#333333;}#mermaid-svg-ZiMdrsifYwKpfQbV svg{font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-ZiMdrsifYwKpfQbV .label{font-family:"trebuchet ms",verdana,arial,sans-serif;color:#333;}#mermaid-svg-ZiMdrsifYwKpfQbV .cluster-label text{fill:#333;}#mermaid-svg-ZiMdrsifYwKpfQbV .cluster-label span{color:#333;}#mermaid-svg-ZiMdrsifYwKpfQbV .label text,#mermaid-svg-ZiMdrsifYwKpfQbV span{fill:#333;color:#333;}#mermaid-svg-ZiMdrsifYwKpfQbV .node rect,#mermaid-svg-ZiMdrsifYwKpfQbV .node circle,#mermaid-svg-ZiMdrsifYwKpfQbV .node ellipse,#mermaid-svg-ZiMdrsifYwKpfQbV .node polygon,#mermaid-svg-ZiMdrsifYwKpfQbV .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-ZiMdrsifYwKpfQbV .node .label{text-align:center;}#mermaid-svg-ZiMdrsifYwKpfQbV .node.clickable{cursor:pointer;}#mermaid-svg-ZiMdrsifYwKpfQbV .arrowheadPath{fill:#333333;}#mermaid-svg-ZiMdrsifYwKpfQbV .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-ZiMdrsifYwKpfQbV .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-ZiMdrsifYwKpfQbV .edgeLabel{background-color:#e8e8e8;text-align:center;}#mermaid-svg-ZiMdrsifYwKpfQbV .edgeLabel rect{opacity:0.5;background-color:#e8e8e8;fill:#e8e8e8;}#mermaid-svg-ZiMdrsifYwKpfQbV .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-ZiMdrsifYwKpfQbV .cluster text{fill:#333;}#mermaid-svg-ZiMdrsifYwKpfQbV .cluster span{color:#333;}#mermaid-svg-ZiMdrsifYwKpfQbV div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-ZiMdrsifYwKpfQbV :root{--mermaid-font-family:"trebuchet ms",verdana,arial,sans-serif;} 数据抽象层次 RDD DataFrame Dataset 最底层抽象 函数式编程 类型安全 手动优化 结构化数据 SQL支持 Catalyst优化器 跨语言API 类型安全 面向对象编程 编译时检查 性能优化 发展趋势 推荐使用DataFrame/Dataset 7. Spark 内存管理图 #mermaid-svg-LYtoi5LCJp9OVVSn {font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;fill:#333;}#mermaid-svg-LYtoi5LCJp9OVVSn .error-icon{fill:#552222;}#mermaid-svg-LYtoi5LCJp9OVVSn .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-LYtoi5LCJp9OVVSn .edge-thickness-normal{stroke-width:2px;}#mermaid-svg-LYtoi5LCJp9OVVSn .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-LYtoi5LCJp9OVVSn .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-LYtoi5LCJp9OVVSn .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-LYtoi5LCJp9OVVSn .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-LYtoi5LCJp9OVVSn .marker{fill:#333333;stroke:#333333;}#mermaid-svg-LYtoi5LCJp9OVVSn .marker.cross{stroke:#333333;}#mermaid-svg-LYtoi5LCJp9OVVSn svg{font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-LYtoi5LCJp9OVVSn .label{font-family:"trebuchet ms",verdana,arial,sans-serif;color:#333;}#mermaid-svg-LYtoi5LCJp9OVVSn .cluster-label text{fill:#333;}#mermaid-svg-LYtoi5LCJp9OVVSn .cluster-label span{color:#333;}#mermaid-svg-LYtoi5LCJp9OVVSn .label text,#mermaid-svg-LYtoi5LCJp9OVVSn span{fill:#333;color:#333;}#mermaid-svg-LYtoi5LCJp9OVVSn .node rect,#mermaid-svg-LYtoi5LCJp9OVVSn .node circle,#mermaid-svg-LYtoi5LCJp9OVVSn .node ellipse,#mermaid-svg-LYtoi5LCJp9OVVSn .node polygon,#mermaid-svg-LYtoi5LCJp9OVVSn .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-LYtoi5LCJp9OVVSn .node .label{text-align:center;}#mermaid-svg-LYtoi5LCJp9OVVSn .node.clickable{cursor:pointer;}#mermaid-svg-LYtoi5LCJp9OVVSn .arrowheadPath{fill:#333333;}#mermaid-svg-LYtoi5LCJp9OVVSn .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-LYtoi5LCJp9OVVSn .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-LYtoi5LCJp9OVVSn .edgeLabel{background-color:#e8e8e8;text-align:center;}#mermaid-svg-LYtoi5LCJp9OVVSn .edgeLabel rect{opacity:0.5;background-color:#e8e8e8;fill:#e8e8e8;}#mermaid-svg-LYtoi5LCJp9OVVSn .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-LYtoi5LCJp9OVVSn .cluster text{fill:#333;}#mermaid-svg-LYtoi5LCJp9OVVSn .cluster span{color:#333;}#mermaid-svg-LYtoi5LCJp9OVVSn div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-LYtoi5LCJp9OVVSn :root{--mermaid-font-family:"trebuchet ms",verdana,arial,sans-serif;} Spark内存管理 堆内内存 堆外内存 Execution Memory Storage Memory User Memory Reserved Memory Shuffle Join Sort Aggregation RDD缓存 广播变量 任务结果 用户代码 用户数据结构 Spark内部对象 300MB固定大小 直接内存 减少GC压力 序列化存储 8. Spark 性能优化要点图
mindmaproot((Spark性能优化))数据序列化Kryo序列化避免Java序列化内存调优合理设置内存比例选择合适存储级别避免内存溢出并行度调优合理设置分区数避免数据倾斜调整并发任务数Shuffle优化减少Shuffle操作预分区使用广播变量代码优化避免创建重复RDD使用高效算子缓存中间结果资源配置合理分配CPU和内存调整Executor数量网络和磁盘优化9. Spark vs Hadoop MapReduce 对比图 #mermaid-svg-Oe5K3P14Xewltd8C {font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;fill:#333;}#mermaid-svg-Oe5K3P14Xewltd8C .error-icon{fill:#552222;}#mermaid-svg-Oe5K3P14Xewltd8C .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-Oe5K3P14Xewltd8C .edge-thickness-normal{stroke-width:2px;}#mermaid-svg-Oe5K3P14Xewltd8C .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-Oe5K3P14Xewltd8C .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-Oe5K3P14Xewltd8C .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-Oe5K3P14Xewltd8C .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-Oe5K3P14Xewltd8C .marker{fill:#333333;stroke:#333333;}#mermaid-svg-Oe5K3P14Xewltd8C .marker.cross{stroke:#333333;}#mermaid-svg-Oe5K3P14Xewltd8C svg{font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-Oe5K3P14Xewltd8C .label{font-family:"trebuchet ms",verdana,arial,sans-serif;color:#333;}#mermaid-svg-Oe5K3P14Xewltd8C .cluster-label text{fill:#333;}#mermaid-svg-Oe5K3P14Xewltd8C .cluster-label span{color:#333;}#mermaid-svg-Oe5K3P14Xewltd8C .label text,#mermaid-svg-Oe5K3P14Xewltd8C span{fill:#333;color:#333;}#mermaid-svg-Oe5K3P14Xewltd8C .node rect,#mermaid-svg-Oe5K3P14Xewltd8C .node circle,#mermaid-svg-Oe5K3P14Xewltd8C .node ellipse,#mermaid-svg-Oe5K3P14Xewltd8C .node polygon,#mermaid-svg-Oe5K3P14Xewltd8C .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-Oe5K3P14Xewltd8C .node .label{text-align:center;}#mermaid-svg-Oe5K3P14Xewltd8C .node.clickable{cursor:pointer;}#mermaid-svg-Oe5K3P14Xewltd8C .arrowheadPath{fill:#333333;}#mermaid-svg-Oe5K3P14Xewltd8C .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-Oe5K3P14Xewltd8C .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-Oe5K3P14Xewltd8C .edgeLabel{background-color:#e8e8e8;text-align:center;}#mermaid-svg-Oe5K3P14Xewltd8C .edgeLabel rect{opacity:0.5;background-color:#e8e8e8;fill:#e8e8e8;}#mermaid-svg-Oe5K3P14Xewltd8C .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-Oe5K3P14Xewltd8C .cluster text{fill:#333;}#mermaid-svg-Oe5K3P14Xewltd8C .cluster span{color:#333;}#mermaid-svg-Oe5K3P14Xewltd8C div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-Oe5K3P14Xewltd8C :root{--mermaid-font-family:"trebuchet ms",verdana,arial,sans-serif;} 对比维度 Spark Hadoop MapReduce 速度 内存计算快100倍 磁盘计算快10倍 速度 基于磁盘 每次读写HDFS 易用性 丰富的API 多种编程语言 易用性 编程复杂 主要支持Java 通用性 批处理流处理 机器学习图计算 通用性 主要批处理 功能单一 容错性 RDD血缘关系 自动重算 容错性 数据副本 重新执行任务 10. Spark 学习路径图 #mermaid-svg-linQeGMGtv7rixbu {font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;fill:#333;}#mermaid-svg-linQeGMGtv7rixbu .error-icon{fill:#552222;}#mermaid-svg-linQeGMGtv7rixbu .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-linQeGMGtv7rixbu .edge-thickness-normal{stroke-width:2px;}#mermaid-svg-linQeGMGtv7rixbu .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-linQeGMGtv7rixbu .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-linQeGMGtv7rixbu .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-linQeGMGtv7rixbu .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-linQeGMGtv7rixbu .marker{fill:#333333;stroke:#333333;}#mermaid-svg-linQeGMGtv7rixbu .marker.cross{stroke:#333333;}#mermaid-svg-linQeGMGtv7rixbu svg{font-family:"trebuchet ms",verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-linQeGMGtv7rixbu .label{font-family:'trebuchet ms',verdana,arial,sans-serif;font-family:var(--mermaid-font-family);color:#333;}#mermaid-svg-linQeGMGtv7rixbu .mouth{stroke:#666;}#mermaid-svg-linQeGMGtv7rixbu line{stroke:#333;}#mermaid-svg-linQeGMGtv7rixbu .legend{fill:#333;}#mermaid-svg-linQeGMGtv7rixbu .label text{fill:#333;}#mermaid-svg-linQeGMGtv7rixbu .label{color:#333;}#mermaid-svg-linQeGMGtv7rixbu .face{fill:#FFF8DC;stroke:#999;}#mermaid-svg-linQeGMGtv7rixbu .node rect,#mermaid-svg-linQeGMGtv7rixbu .node circle,#mermaid-svg-linQeGMGtv7rixbu .node ellipse,#mermaid-svg-linQeGMGtv7rixbu .node polygon,#mermaid-svg-linQeGMGtv7rixbu .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-linQeGMGtv7rixbu .node .label{text-align:center;}#mermaid-svg-linQeGMGtv7rixbu .node.clickable{cursor:pointer;}#mermaid-svg-linQeGMGtv7rixbu .arrowheadPath{fill:#333333;}#mermaid-svg-linQeGMGtv7rixbu .edgePath .path{stroke:#333333;stroke-width:1.5px;}#mermaid-svg-linQeGMGtv7rixbu .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-linQeGMGtv7rixbu .edgeLabel{background-color:#e8e8e8;text-align:center;}#mermaid-svg-linQeGMGtv7rixbu .edgeLabel rect{opacity:0.5;}#mermaid-svg-linQeGMGtv7rixbu .cluster text{fill:#333;}#mermaid-svg-linQeGMGtv7rixbu div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:'trebuchet ms',verdana,arial,sans-serif;font-family:var(--mermaid-font-family);font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-linQeGMGtv7rixbu .task-type-0,#mermaid-svg-linQeGMGtv7rixbu .section-type-0{fill:#ECECFF;}#mermaid-svg-linQeGMGtv7rixbu .task-type-1,#mermaid-svg-linQeGMGtv7rixbu .section-type-1{fill:#ffffde;}#mermaid-svg-linQeGMGtv7rixbu .task-type-2,#mermaid-svg-linQeGMGtv7rixbu .section-type-2{fill:hsl(304, 100%, 96.2745098039%);}#mermaid-svg-linQeGMGtv7rixbu .task-type-3,#mermaid-svg-linQeGMGtv7rixbu .section-type-3{fill:hsl(124, 100%, 93.5294117647%);}#mermaid-svg-linQeGMGtv7rixbu .task-type-4,#mermaid-svg-linQeGMGtv7rixbu .section-type-4{fill:hsl(176, 100%, 96.2745098039%);}#mermaid-svg-linQeGMGtv7rixbu .task-type-5,#mermaid-svg-linQeGMGtv7rixbu .section-type-5{fill:hsl(-4, 100%, 93.5294117647%);}#mermaid-svg-linQeGMGtv7rixbu .task-type-6,#mermaid-svg-linQeGMGtv7rixbu .section-type-6{fill:hsl(8, 100%, 96.2745098039%);}#mermaid-svg-linQeGMGtv7rixbu .task-type-7,#mermaid-svg-linQeGMGtv7rixbu .section-type-7{fill:hsl(188, 100%, 93.5294117647%);}:root{--mermaid-font-family:"trebuchet ms",verdana,arial,sans-serif;} 学习者 基础阶段 基础阶段 学习者 了解大数据概念 了解大数据概念 学习者 学习Scala/Java基础 学习Scala/Java基础 学习者 理解分布式计算 理解分布式计算 入门阶段 入门阶段 学习者 Spark核心概念 Spark核心概念 学习者 RDD编程基础 RDD编程基础 学习者 Spark环境搭建 Spark环境搭建 进阶阶段 进阶阶段 学习者 Spark SQL学习 Spark SQL学习 学习者 Spark Streaming Spark Streaming 学习者 性能调优 性能调优 高级阶段 高级阶段 学习者 MLlib机器学习 MLlib机器学习 学习者 GraphX图计算 GraphX图计算 学习者 源码分析 源码分析 实战阶段 实战阶段 学习者 项目实践 项目实践 学习者 生产环境部署 生产环境部署 学习者 问题排查 问题排查 Spark学习路径 总结
以上Mermaid图表从多个维度展示了Apache Spark的核心概念和知识体系
总体架构图 - 展示Spark的整体特性和定位核心组件图 - 说明Spark生态系统的各个组件工作流程图 - 描述Spark作业的执行过程RDD操作图 - 分类展示RDD的操作类型部署模式图 - 介绍不同的部署方式数据抽象图 - 展示数据抽象的层次关系内存管理图 - 说明Spark的内存分配机制性能优化图 - 总结性能调优的关键点对比分析图 - 与传统MapReduce的优势对比学习路径图 - 提供系统的学习建议
这些图表可以帮助快速理解和复习Spark的核心知识点建议结合实际代码练习来加深理解。
