技术交流

• 微信:thinktothings
• 微博:https://weibo.com/thinktothings
• Flink版本为1.7.2
• 本站持续更新中.......2019-03-13.......

源码

• https://github.com/opensourceteams/flink-maven-scala

Flink源码分析视频集

• bilibili: https://space.bilibili.com/389781728/channel/detail?cid=57928
• youtub: https://www.youtube.com/watch?v=Yte40CsKitY&list=PLKt2LvPElMxVplfb2W2NBhAtaX76wUOOD

中文文档

• Flink 1.7中文文档(官网英文翻译过来) 在线版: http://flink.apachecn.org/docs/1.7-SNAPSHOT/#/README
• Flink 1.7中文文档(官网英文翻译过来) PDF版: https://github.com/opensourceteams/flink-maven-scala/blob/master/doc/flink-1.7-%E4%B8%AD%E6%96%87%E6%96%87%E6%A1%A3(%E5%AE%98%E7%BD%91%E8%8B%B1%E6%96%87%E7%BF%BB%E8%AF%91%E8%BF%87%E6%9D%A5).pdf

Flink 本地运行交互Shell

• start-scala-shell.sh local
• 参数说明: [local | remote | yarn]

benv.fromElements(1,2,3).map(i => i * i ).print

• 输出结果

1
4
9

运行 jar 到 Flink 集群

 flink run -c  com.opensourceteams.module.bigdata.flink.example.stream.worldcount.nc.SocketWindowWordCount    ./flink-maven-scala-2-0.0.1.jar  

创建flink java 项目

mvn archetype:generate                               \
      -DarchetypeGroupId=org.apache.flink              \
      -DarchetypeArtifactId=flink-quickstart-java     \
      -DarchetypeVersion=1.7.1
      -DgroupId=com.opensourceteams \
      -DartifactId=flink-maven-java \
      -Dversion=0.0.1 \
      -Dpackage=com.opensourceteams.module.bigdata.flink  \
      -DinteractiveMode=false

创建flink scala项目

mvn archetype:generate                               \
      -DarchetypeGroupId=org.apache.flink              \
      -DarchetypeArtifactId=flink-quickstart-scala     \
      -DarchetypeVersion=1.7.1
      -DgroupId=com.opensourceteams \
      -DartifactId=flink-maven-scala-2 \
      -Dversion=0.0.1 \
      -Dpackage=com.opensourceteams.module.bigdata.flink  \
      -DinteractiveMode=false

查看jar中文件列表

jar tvf test.jar 

maven 运行某个类

mvn exec:java -Dexec.mainClass=wikiedits.WikipediaAnalysis

scala 隐式转换，需要用到的包

import org.apache.flink.api.scala._ 
import org.apache.flink.table.api.scala._

执行计划图

• 用Firefox 打开，显示的比较全(别浏览器有显示不全的现象)
• 地址:https://flink.apache.org/visualizer

      //执行计划
      //println(env.getExecutionPlan)
      //StreamGraph
     //println(env.getStreamGraph.getStreamingPlanAsJSON)

Execute Plan

{"nodes":[{"id":1,"type":"Source: Socket Stream","pact":"Data Source","contents":"Source: Socket Stream","parallelism":1},{"id":2,"type":"Flat Map","pact":"Operator","contents":"Flat Map","parallelism":1,"predecessors":[{"id":1,"ship_strategy":"FORWARD","side":"second"}]},{"id":3,"type":"Map","pact":"Operator","contents":"Map","parallelism":1,"predecessors":[{"id":2,"ship_strategy":"FORWARD","side":"second"}]},{"id":5,"type":"Window(TumblingProcessingTimeWindows(3000), ProcessingTimeTrigger, SumAggregator, PassThroughWindowFunction)","pact":"Operator","contents":"Window(TumblingProcessingTimeWindows(3000), ProcessingTimeTrigger, SumAggregator, PassThroughWindowFunction)","parallelism":1,"predecessors":[{"id":3,"ship_strategy":"HASH","side":"second"}]},{"id":6,"type":"Sink: Print to Std. Out","pact":"Data Sink","contents":"Sink: Print to Std. Out","parallelism":1,"predecessors":[{"id":5,"ship_strategy":"FORWARD","side":"second"}]}]}

StreamGraph Plan

{"nodes":[{"id":1,"type":"Source: Socket Stream","pact":"Data Source","contents":"Source: Socket Stream","parallelism":1},{"id":2,"type":"Flat Map","pact":"Operator","contents":"Flat Map","parallelism":1,"predecessors":[{"id":1,"ship_strategy":"FORWARD","side":"second"}]},{"id":3,"type":"Map","pact":"Operator","contents":"Map","parallelism":1,"predecessors":[{"id":2,"ship_strategy":"FORWARD","side":"second"}]},{"id":5,"type":"Window(TumblingProcessingTimeWindows(3000), ProcessingTimeTrigger, SumAggregator, PassThroughWindowFunction)","pact":"Operator","contents":"Window(TumblingProcessingTimeWindows(3000), ProcessingTimeTrigger, SumAggregator, PassThroughWindowFunction)","parallelism":1,"predecessors":[{"id":3,"ship_strategy":"HASH","side":"second"}]},{"id":6,"type":"Sink: Print to Std. Out","pact":"Data Sink","contents":"Sink: Print to Std. Out","parallelism":1,"predecessors":[{"id":5,"ship_strategy":"FORWARD","side":"second"}]}]}

Flink 环境，配置

• Flink 源码debug方法: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/flink-debug.md
• Flink 名词术语 : https://github.com/opensourceteams/flink-maven-scala/blob/master/md/flink-concept.md
• Flink 源码编译: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/flink-build.md

example

• scala 版Flink WordCount单词统计 : https://github.com/opensourceteams/flink-maven-scala/blob/master/md/wordCount-scala.md

• wordCount Dataset批处理

  • start-scala-shell.sh local
  • 参数说明:[local | remote | yarn]

  benv.fromElements("a b a c").flatMap(x => x.split(" ")).map((_,1)).groupBy(0).sum(1).print
  

  • 输出结果

    (a,2)
    (b,1)
    (c,1)

• Flink 1.7.2 DataStream operator 示例 : https://github.com/opensourceteams/flink-maven-scala/blob/master/md/datastream/flink-datastream-operator.md

• Flink1.7.2 Dataset transformation示例: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/dataset/flink-dataset-transformation.md

• Flink1.7.2 sql批处理示例: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/sql/flink-sql-dataset-example.md

• flink1.7.2 tableapi批处理示例: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/tableapi/flink-tableapi-dataset-example.md

Flink1.7.2 DataStream 源码分析(流处理)

• Flink MiniCluster 作业提交: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/miniCluster/MiniCluster-job-submit.md
• Flink1.7.2 local WordCount源码分析: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/flink-local-wordCount-%E6%BA%90%E7%A0%81%E5%88%86%E6%9E%90.md
• Flink Sink 接收数据的顺序(Window发送数据顺序): https://github.com/opensourceteams/flink-maven-scala/blob/master/md/miniCluster/flink-sink-order.md
• Flink Window 排序: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/miniCluster/flink-window-order.md
• Flink1.7.2 Source、Window数据交互源码分析: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/miniCluster/flink-source-window-data-exchange.md
• Flink1.7.2 并行计算源码分析: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/miniCluster/Flink-Parallelism-Calculation.md
• Flink 1.7.2 业务时间戳分析流式数据源码分析: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/miniCluster/Flink-EventTime-watermark.md
• Flink 005-source-operation-sink源码分析: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/images/005-source-operation-sink%E6%BA%90%E7%A0%81%E5%88%86%E6%9E%90.png

Flink1.7.2 Dataset 源码分析(批处理)

• Flink1.7.2 Dataset local 源码分析 : https://github.com/opensourceteams/flink-maven-scala/blob/master/md/dataset/flink-dataset-local.md
• Flink1.7.2 Dataset 文件切片计算方式和切片数据读取源码分析: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/dataset/flink-dataset-FileInputSplit.md
• Flink1.7.2 Dataset 并行计算源码分析: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/dataset/flink-dataset-parallel-cal.md

Flink1.7.2 时序图

• Flink 客户端提交程序到MiniCluster(时序图): https://github.com/opensourceteams/flink-maven-scala/blob/master/md/images/001-%E5%AE%A2%E6%88%B7%E7%AB%AF%E6%8F%90%E4%BA%A4%E7%A8%8B%E5%BA%8F%E5%88%B0MiniCluster.png
• Flink ExecutionGraph的构建和Execution.deploy之前(时序图): https://github.com/opensourceteams/flink-maven-scala/blob/master/md/images/002-ExecutionGraph%E6%9E%84%E5%BB%BA%E5%92%8C%E4%BD%9C%E4%B8%9A%E8%BF%90%E8%A1%8C.png
• Flink Execution deploy和source数据读取(时序图): https://github.com/opensourceteams/flink-maven-scala/blob/master/md/images/003-execution-deploy-source%E6%95%B0%E6%8D%AE%E8%AF%BB%E5%8F%96.png
• Flink OperatorChian计算source数据(时序图): https://github.com/opensourceteams/flink-maven-scala/blob/master/md/images/004_operatorChain_%E8%AE%A1%E7%AE%97source%E6%95%B0%E6%8D%AE.png

Flink 1.7.2 Error 收集

• Flink 1.7.2 Error 收集: https://github.com/opensourceteams/flink-maven-scala/blob/master/md/flink-error.md