【本站点已不在更新中......2018-12-09......】

• 本站已不在更新，由于选的spark版本为1.6,是老版本
• SPARK 2.4.0 学习笔记分享(持续更新中) : https://github.com/opensourceteams/spark-scala-maven-2.4.0

• 微信(技术交流) : thinktothings
• SPARK 源码分析技术分享(视频汇总套装视频): https://www.bilibili.com/video/av37442139/
• SPARK 源码分析技术分享(视频汇总在线看):https://blog.csdn.net/thinktothings/article/details/84726769
• SPARK 源码分析技术分享 (github) : https://github.com/opensourceteams/spark-scala-maven

• Hadoop版本: Hadoop 2.6.0-cdh5.15.0
• Spark版本: SPARK 1.6.0-cdh5.15.0
• JDK.1.8.0_191
• scala2.10.7

• OneToOneDependency

  • bilibili 视频: https://www.bilibili.com/video/av37442139/?p=1
  • 详细说明文档： https://github.com/opensourceteams/spark-scala-maven/blob/master/md/OneToOneDenpendency.md
  <iframe width="800" height="500" src="https://player.bilibili.com/player.html?aid=37442139&cid=65822237&page=1" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true"> </iframe>

• RangeDependency

  • bilibili 视频: https://www.bilibili.com/video/av37442139/?p=2
  • 详细说明文档： https://github.com/opensourceteams/spark-scala-maven/blob/master/md/RangeDependency.md
  <iframe width="800" height="500" src="https://player.bilibili.com/player.html?aid=37442139&cid=65822237&page=2" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true"> </iframe>

• PruneDependency filter

  • bilibili 视频: https://www.bilibili.com/video/av37442139/?p=3
  • 详细说明文档： https://github.com/opensourceteams/spark-scala-maven/blob/master/md/PruneDependency.md
  <iframe width="800" height="500" src="https://player.bilibili.com/player.html?aid=37442139&cid=65822237&page=3" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true"> </iframe>

• PruneDependency RangePartitioner

  • bilibili 视频: https://www.bilibili.com/video/av37442139/?p=4
  • 详细说明文档： https://github.com/opensourceteams/spark-scala-maven/blob/master/md/PruneDependencyRangePartitioner.md
  <iframe width="800" height="500" src="https://player.bilibili.com/player.html?aid=37442139&cid=65822237&page=4" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true"> </iframe>

• bilibili 视频: https://www.bilibili.com/video/av37442139/?p=5
• 详细说明文档：https://github.com/opensourceteams/spark-scala-maven/blob/master/md/ShuffleDependency.md

• SparkContext原理分析(Youtube视频): https://youtu.be/euIuutjAB4I
• SparkContext源码分析(Youtube视频): https://youtu.be/tUH7QnCcwgg
• SparkContext源码分析(文档详解）： https://github.com/opensourceteams/spark-scala-maven/blob/master/md/SparkContext.md

• Spark通信原理分析(Youtube视频): https://youtu.be/3vUVwbEGf1E
• Spark通信原理分析（文档详解）： https://github.com/opensourceteams/spark-scala-maven/blob/master/md/OutBoxAndInBox.md
• bilibili : https://www.bilibili.com/video/av37442199/

• Spark Master启动源码分析(Youtube视频): https://youtu.be/74q1nddoaiY​
• Spark Master启动源码分析(Bilibili视频): https://www.bilibili.com/video/av37442271/
• Master启动源码分析详细说明文档： https://github.com/opensourceteams/spark-scala-maven/blob/master/md/StartMaster.md

• Spark Master资源调度--worker向master注册(Youtube视频): https://youtu.be/74q1nddoaiY​
• Spark Master资源调度--worker向master注册(Bilibili视频): https://www.bilibili.com/video/av37442280/
• Spark Master资源调试--worker向master注册(文档详解)： https://github.com/opensourceteams/spark-scala-maven/blob/master/md/MasterScheduler_workerRegisterMaster.md

• Spark Master资源调度--SparkContext向所有master注册(Youtube视频): https://youtu.be/AXxCnCc5Mh0​
• Spark Master资源调度--SparkContext向所有master注册(Bilibili视频): https://www.bilibili.com/video/av37442295/
• Spark Master资源调度--SparkContext向所有master注册(文档详解): https://github.com/opensourceteams/spark-scala-maven/blob/master/md/MasterScheduler_SparkContextRegisterMaster.md

• Spark Worker 启动源码分析(Youtube视频): https://youtu.be/ll_Ae6rP7II​​
• Spark Worker 启动源码分析(Bilibili视频): https://www.bilibili.com/video/av37442247/
• Spark Worker 启动源码分析(文档详解): https://github.com/opensourceteams/spark-scala-maven/blob/master/md/StartWorker.md

• Spark Executor启动源码分析(Youtube视频): https://youtu.be/1qg4UMPV3pQ
• Spark Executor启动源码分析(Bilibili视频): https://www.bilibili.com/video/av37442311/
• Spark Executor启动源码分析(文档详解)： https://github.com/opensourceteams/spark-scala-maven/blob/master/md/CoarseGrainedExecutorBackend_start.md

• Spark 触发Job提交(youtube视频) : https://youtu.be/X49RIqz2AjM
• Spark 触发Job提交(bilibili视频) : https://www.bilibili.com/video/av37445008/
• Spark 触发Job提交(文档详解)：https://github.com/opensourceteams/spark-scala-maven/blob/master/md/jobSubmitTrigger.md

• Spark DAG调度器事件循环处理器(Youtube视频) : https://youtu.be/fT-dpf0KFOA
• Spark DAG调度器事件循环处理器(Bilibili视频) : https://www.bilibili.com/video/av37445034/
• Spark DAG调度器事件循环处理器(文档详解)：https://github.com/opensourceteams/spark-scala-maven/blob/master/md/DAGSchedulerEventProcessLoop.md

• Spark FinalStage处理(Stage划分)(Youtube视频) : https://youtu.be/yFJugOV0Fak
• Spark FinalStage处理(Stage划分)(Bilibili视频) : https://www.bilibili.com/video/av37445057/
• Spark FinalStage处理(Stage划分)(文档详解)：https://github.com/opensourceteams/spark-scala-maven/blob/master/md/FinalStage.md

• Spark Stage提交(Youtube视频) : https://youtu.be/NI8-_X6mbl4
• Spark Stage提交(Bilibili视频) : https://www.bilibili.com/video/av37445077/
• Spark Stage提交(文档详解)：https://github.com/opensourceteams/spark-scala-maven/blob/master/md/SubmitStage.md

• Spark DAGScheduler把stage转换成TaskSet的过程(Bilibili视频) https://www.bilibili.com/video/av37442139/?p=18
• Spark DAGScheduler把stage转换成TaskSet的过程(文档详解)：https://github.com/opensourceteams/spark-scala-maven/blob/master/md/DAGScheduler_stageToTaskSet.md

• Spark TaskSchedulerImpl 任务调度方式(FIFO)(文档详解)：https://github.com/opensourceteams/spark-scala-maven/blob/master/md/SchedulerFIFO.md
• Spark TaskSchedulerImpl 任务调度方式(FIFO)(bilibili视频) : https://www.bilibili.com/video/av37442139/?p=19

• Spark TaskSchedulerImpl TaskSet处理(文档详解)：https://github.com/opensourceteams/spark-scala-maven/blob/master/md/TaskSchedulerTaskSetDeal.md
• Spark TaskSchedulerImpl TaskSet原理分析(bilibili视频) : https://www.bilibili.com/video/av37442139/?p=20
• Spark TaskSchedulerImpl TaskSet原码分析(bilibili视频) : https://www.bilibili.com/video/av37442139/?p=21

• Spark 源码分析之ShuffleMapTask处理(文档详解): https://github.com/opensourceteams/spark-scala-maven/blob/master/md/ShuffleMapTask.md
• Spark 源码分析之ShuffleMapTask处理原理分析图解 (bilibili视频): https://www.bilibili.com/video/av37442139/?p=22
• Spark 源码分析之ShuffleMapTask处理源码分析 (bilibili视频): https://www.bilibili.com/video/av37442139/?p=23
• Spark 源码分析之ShuffleMapTask内存数据Spill和合并(文档详解):https://github.com/opensourceteams/spark-scala-maven/blob/master/md/ShuffleMapTaskSpillDiskFile.md

• Spark 源码分析之ResultTask处理(文档详情):https://github.com/opensourceteams/spark-scala-maven/blob/master/md/ResultTask.md
• Spark 源码分析之ResultTask原理分析图解(bilibili视频):https://www.bilibili.com/video/av37442139/?p=24
• Spark 源码分析之ResultTask处理(bilibili视频):https://www.bilibili.com/video/av37442139/?p=25

• HadoopRdd partition的开始位置计算(文档详情): https://github.com/opensourceteams/spark-scala-maven/blob/master/md/HadoopRddPartitionDivide.md

• Hadoop RDD 读取文件(文档详情): https://github.com/opensourceteams/spark-scala-maven/blob/master/md/HadoopRDD_2.md

• Spark MapOutputTracker源码分析 ： (文档详情): https://github.com/opensourceteams/spark-scala-maven/blob/master/md/MapOutputTrackerMasterEndpoint.md

• Spark BlockManager源码分析： (文档详情): https://github.com/opensourceteams/spark-scala-maven/blob/master/md/BlockManager.md

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• 详细说明文档： https://github.com/opensourceteams/spark-scala-maven/blob/master/md/SparkRemoteDebug.md

• HadoopRDD源码分析说明文档详细

• HadoopRdd源码分析-读取本地文件需求分析-01
• HadoopRDD源码分析-文件拆分partition划分-02
• HadoopRdd源码分析 本地文件读取源码分析 03
• HadoopRdd源码分析 本地文件读取源码分析 04